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simulation</title> <meta name="description" content="Search results for: demand simulation"> <meta name="keywords" content="demand simulation"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="demand simulation"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7963</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: demand simulation</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7963</span> Electricity Demand Modeling and Forecasting in Singapore</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xian%20Li">Xian Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Qing-Guo%20Wang"> Qing-Guo Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiangshuai%20Huang"> Jiangshuai Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jidong%20Liu"> Jidong Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ming%20Yu"> Ming Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Tan%20Kok%20Poh"> Tan Kok Poh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In power industry, accurate electricity demand forecasting for a certain leading time is important for system operation and control, etc. In this paper, we investigate the modeling and forecasting of Singapore’s electricity demand. Several standard models, such as HWT exponential smoothing model, the ARMA model and the ANNs model have been proposed based on historical demand data. We applied them to Singapore electricity market and proposed three refinements based on simulation to improve the modeling accuracy. Compared with existing models, our refined model can produce better forecasting accuracy. It is demonstrated in the simulation that by adding forecasting error into the forecasting equation, the modeling accuracy could be improved greatly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20industry" title="power industry">power industry</a>, <a href="https://publications.waset.org/abstracts/search?q=electricity%20demand" title=" electricity demand"> electricity demand</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a> </p> <a href="https://publications.waset.org/abstracts/13471/electricity-demand-modeling-and-forecasting-in-singapore" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13471.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">640</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7962</span> Evaluation of Practicality of On-Demand Bus Using Actual Taxi-Use Data through Exhaustive Simulations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jun-ichi%20Ochiai">Jun-ichi Ochiai</a>, <a href="https://publications.waset.org/abstracts/search?q=Itsuki%20Noda"> Itsuki Noda</a>, <a href="https://publications.waset.org/abstracts/search?q=Ryo%20Kanamori"> Ryo Kanamori</a>, <a href="https://publications.waset.org/abstracts/search?q=Keiji%20Hirata"> Keiji Hirata</a>, <a href="https://publications.waset.org/abstracts/search?q=Hitoshi%20Matsubara"> Hitoshi Matsubara</a>, <a href="https://publications.waset.org/abstracts/search?q=Hideyuki%20Nakashima"> Hideyuki Nakashima</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We conducted exhaustive simulations for data assimilation and evaluation of service quality for various setting in a new shared transportation system, called SAVS. Computational social simulation is a key technology to design recent social services like SAVS as new transportation service. One open issue in SAVS was to determine the service scale through the social simulation. Using our exhaustive simulation framework, OACIS, we did data-assimilation and evaluation of effects of SAVS based on actual tax-use data at Tajimi city, Japan. Finally, we get the conditions to realize the new service in a reasonable service quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=on-demand%20bus%20sytem" title="on-demand bus sytem">on-demand bus sytem</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20simulation" title=" social simulation"> social simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20assimilation" title=" data assimilation"> data assimilation</a>, <a href="https://publications.waset.org/abstracts/search?q=exhaustive%20simulation" title=" exhaustive simulation"> exhaustive simulation</a> </p> <a href="https://publications.waset.org/abstracts/67906/evaluation-of-practicality-of-on-demand-bus-using-actual-taxi-use-data-through-exhaustive-simulations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67906.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7961</span> Energy Planning Analysis of an Agritourism Complex Based on Energy Demand Simulation: A Case Study of Wuxi Yangshan Agritourism Complex</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Li%20Zhu">Li Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Binghua%20Wang"> Binghua Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong%20Sun"> Yong Sun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> China is experiencing the rural development process, with the agritourism complex becoming one of the significant modes. Therefore, it is imperative to understand the energy performance of agritourism complex. This study focuses on a typical case of the agritourism complex and simulates the energy consumption performance on condition of the regular energy system. It was found that HVAC took 90% of the whole energy demand range. In order to optimize the energy supply structure, the hierarchical analysis was carried out on the level of architecture with three main factors such as construction situation, building types and energy demand types. Finally, the energy planning suggestion of the agritourism complex was put forward and the relevant results were obtained. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agritourism%20complex" title="agritourism complex">agritourism complex</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20planning" title=" energy planning"> energy planning</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20demand%20simulation" title=" energy demand simulation"> energy demand simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=hierarchical%20structure%20model" title=" hierarchical structure model"> hierarchical structure model</a> </p> <a href="https://publications.waset.org/abstracts/103773/energy-planning-analysis-of-an-agritourism-complex-based-on-energy-demand-simulation-a-case-study-of-wuxi-yangshan-agritourism-complex" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103773.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">193</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7960</span> Inventory Control for Purchased Part under Long Lead Time and Uncertain Demand: MRP vs Demand-Driven MRP Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Shofa">M. J. Shofa</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Hidayatno"> A. Hidayatno</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20M.%20Armand"> O. M. Armand</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MRP as a production control system is appropriate for the deterministic environment. Unfortunately, most production systems such as customer demands are stochastic. Demand-Driven MRP (DDMRP) is a new approach for inventory control system, and it deals with demand uncertainty. The objective of this paper is to compare the MRP and DDMRP work for a long lead time and uncertain demand in terms of on-hand inventory levels. The evaluation is conducted through a discrete event simulation using purchased part data from an automotive company. The result is MRP gives 50,759 pcs / day while DDMRP gives 34,835 pcs / day (reduce 32%), it means DDMRP is more effective inventory control than MRP in terms of on-hand inventory levels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Demand-Driven%20MRP" title="Demand-Driven MRP">Demand-Driven MRP</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20lead%20time" title=" long lead time"> long lead time</a>, <a href="https://publications.waset.org/abstracts/search?q=MRP" title=" MRP"> MRP</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertain%20demand" title=" uncertain demand"> uncertain demand</a> </p> <a href="https://publications.waset.org/abstracts/71415/inventory-control-for-purchased-part-under-long-lead-time-and-uncertain-demand-mrp-vs-demand-driven-mrp-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71415.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">301</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7959</span> Tuning of the Thermal Capacity of an Envelope for Peak Demand Reduction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isha%20Rathore">Isha Rathore</a>, <a href="https://publications.waset.org/abstracts/search?q=Peeyush%20Jain"> Peeyush Jain</a>, <a href="https://publications.waset.org/abstracts/search?q=Elangovan%20Rajasekar"> Elangovan Rajasekar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The thermal capacity of the envelope impacts the cooling and heating demand of a building and modulates the peak electricity demand. This paper presents the thermal capacity tuning of a building envelope to minimize peak electricity demand for space cooling. We consider a 40 m² residential testbed located in Hyderabad, India (Composite Climate). An EnergyPlus model is validated using real-time data. A Parametric simulation framework for thermal capacity tuning is created using the Honeybee plugin. Diffusivity, Thickness, layer position, orientation and fenestration size of the exterior envelope are parametrized considering a five-layered wall system. A total of 1824 parametric runs are performed and the optimum wall configuration leading to minimum peak cooling demand is presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thermal%20capacity" title="thermal capacity">thermal capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=tuning" title=" tuning"> tuning</a>, <a href="https://publications.waset.org/abstracts/search?q=peak%20demand%20reduction" title=" peak demand reduction"> peak demand reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=parametric%20analysis" title=" parametric analysis"> parametric analysis</a> </p> <a href="https://publications.waset.org/abstracts/143562/tuning-of-the-thermal-capacity-of-an-envelope-for-peak-demand-reduction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143562.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">184</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7958</span> A Reinforcement Learning Approach for Evaluation of Real-Time Disaster Relief Demand and Network Condition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Nadi">Ali Nadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Edrissi"> Ali Edrissi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Relief demand and transportation links availability is the essential information that is needed for every natural disaster operation. This information is not in hand once a disaster strikes. Relief demand and network condition has been evaluated based on prediction method in related works. Nevertheless, prediction seems to be over or under estimated due to uncertainties and may lead to a failure operation. Therefore, in this paper a stochastic programming model is proposed to evaluate real-time relief demand and network condition at the onset of a natural disaster. To address the time sensitivity of the emergency response, the proposed model uses reinforcement learning for optimization of the total relief assessment time. The proposed model is tested on a real size network problem. The simulation results indicate that the proposed model performs well in the case of collecting real-time information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disaster%20management" title="disaster management">disaster management</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20demand" title=" real-time demand"> real-time demand</a>, <a href="https://publications.waset.org/abstracts/search?q=reinforcement%20learning" title=" reinforcement learning"> reinforcement learning</a>, <a href="https://publications.waset.org/abstracts/search?q=relief%20demand" title=" relief demand"> relief demand</a> </p> <a href="https://publications.waset.org/abstracts/60690/a-reinforcement-learning-approach-for-evaluation-of-real-time-disaster-relief-demand-and-network-condition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60690.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">316</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7957</span> Modelling of Relocation and Battery Autonomy Problem on Electric Cars Sharing Dynamic by Using Discrete Event Simulation and Petri Net</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Taha%20Benarbia">Taha Benarbia</a>, <a href="https://publications.waset.org/abstracts/search?q=Kay%20W.%20Axhausen"> Kay W. Axhausen</a>, <a href="https://publications.waset.org/abstracts/search?q=Anugrah%20Ilahi"> Anugrah Ilahi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electric car sharing system as ecologic transportation increasing in the world. The complexity of managing electric car sharing systems, especially one-way trips and battery autonomy have direct influence to on supply and demand of system. One must be able to precisely model the demand and supply of these systems to better operate electric car sharing and estimate its effect on mobility management and the accessibility that it provides in urban areas. In this context, our work focus to develop performances optimization model of the system based on discrete event simulation and stochastic Petri net. The objective is to search optimal decisions and management parameters of the system in order to fulfil at best demand while minimizing undesirable situations. In this paper, we present new model of electric cars sharing with relocation based on monitoring system. The proposed approach also help to precise the influence of battery charging level on the behaviour of system as important decision parameter of this complex and dynamical system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric%20car-sharing%20systems" title="electric car-sharing systems">electric car-sharing systems</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20mobility" title=" smart mobility"> smart mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=Petri%20nets%20modelling" title=" Petri nets modelling"> Petri nets modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20event%20simulation" title=" discrete event simulation"> discrete event simulation</a> </p> <a href="https://publications.waset.org/abstracts/86638/modelling-of-relocation-and-battery-autonomy-problem-on-electric-cars-sharing-dynamic-by-using-discrete-event-simulation-and-petri-net" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86638.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">183</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7956</span> Reallocation of Bed Capacity in a Hospital Combining Discrete Event Simulation and Integer Linear Programming</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammed%20Ordu">Muhammed Ordu</a>, <a href="https://publications.waset.org/abstracts/search?q=Eren%20Demir"> Eren Demir</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20Tofallis"> Chris Tofallis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The number of inpatient admissions in the UK has been significantly increasing over the past decade. These increases cause bed occupancy rates to exceed the target level (85%) set by the Department of Health in England. Therefore, hospital service managers are struggling to better manage key resource such as beds. On the other hand, this severe demand pressure might lead to confusion in wards. For example, patients can be admitted to the ward of another inpatient specialty due to lack of resources (i.e., bed). This study aims to develop a simulation-optimization model to reallocate the available number of beds in a mid-sized hospital in the UK. A hospital simulation model was developed to capture the stochastic behaviours of the hospital by taking into account the accident and emergency department, all outpatient and inpatient services, and the interactions between each other. A couple of outputs of the simulation model (e.g., average length of stay and revenue) were generated as inputs to be used in the optimization model. An integer linear programming was developed under a number of constraints (financial, demand, target level of bed occupancy rate and staffing level) with the aims of maximizing number of admitted patients. In addition, a sensitivity analysis was carried out by taking into account unexpected increases on inpatient demand over the next 12 months. As a result, the major findings of the approach proposed in this study optimally reallocate the available number of beds for each inpatient speciality and reveal that 74 beds are idle. In addition, the findings of the study indicate that the hospital wards will be able to cope with 14% demand increase at most in the projected year. In conclusion, this paper sheds a new light on how best to reallocate beds in order to cope with current and future demand for healthcare services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bed%20occupancy%20rate" title="bed occupancy rate">bed occupancy rate</a>, <a href="https://publications.waset.org/abstracts/search?q=bed%20reallocation" title=" bed reallocation"> bed reallocation</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20event%20simulation" title=" discrete event simulation"> discrete event simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=inpatient%20admissions" title=" inpatient admissions"> inpatient admissions</a>, <a href="https://publications.waset.org/abstracts/search?q=integer%20linear%20programming" title=" integer linear programming"> integer linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=projected%20usage" title=" projected usage"> projected usage</a> </p> <a href="https://publications.waset.org/abstracts/101798/reallocation-of-bed-capacity-in-a-hospital-combining-discrete-event-simulation-and-integer-linear-programming" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101798.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7955</span> Numerical Simulation and Experimental Study on Cable Damage Detection Using an MFL Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jooyoung%20Park">Jooyoung Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Junkyeong%20Kim"> Junkyeong Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Aoqi%20Zhang"> Aoqi Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Seunghee%20Park"> Seunghee Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Non-destructive testing on cable is in great demand due to safety accidents at sites where many equipments using cables are installed. In this paper, the quantitative change of the obtained signal was analyzed using a magnetic flux leakage (MFL) method. A two-dimensional simulation was conducted with a FEM model replicating real elevator cables. The simulation data were compared for three parameters (depth of defect, width of defect and inspection velocity). Then, an experiment on same conditions was carried out to verify the results of the simulation. Signals obtained from both the simulation and the experiment were transformed to characterize the properties of the damage. Throughout the results, a cable damage detection based on an MFL method was confirmed to be feasible. In further study, it is expected that the MFL signals of an entire specimen will be gained and visualized as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=magnetic%20flux%20leakage%20%28mfl%29" title="magnetic flux leakage (mfl)">magnetic flux leakage (mfl)</a>, <a href="https://publications.waset.org/abstracts/search?q=cable%20damage%20detection" title=" cable damage detection"> cable damage detection</a>, <a href="https://publications.waset.org/abstracts/search?q=non-destructive%20testing" title=" non-destructive testing"> non-destructive testing</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20simulation" title=" numerical simulation"> numerical simulation</a> </p> <a href="https://publications.waset.org/abstracts/57255/numerical-simulation-and-experimental-study-on-cable-damage-detection-using-an-mfl-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57255.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">383</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7954</span> Competitiveness of a Share Autonomous Electrical Vehicle Fleet Compared to Traditional Means of Transport: A Case Study for Transportation Network Companies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maximilian%20Richter">Maximilian Richter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Implementing shared autonomous electric vehicles (SAEVs) has many advantages. The main advantages are achieved when SAEVs are offered as on-demand services by a fleet operator. However, autonomous mobility on demand (AMoD) will be distributed nationwide only if a fleet operation is economically profitable for the operator. This paper proposes a microscopic approach to modeling two implementation scenarios of an AMoD fleet. The city of Zurich is used as a case study, with the results and findings being generalizable to other similar European and North American cities. The data are based on the traffic model of the canton of Zurich (Gesamtverkehrsmodell des Kantons Zürich (GVM-ZH)). To determine financial profitability, demand is based on the simulation results and combined with analyzing the costs of a SAEV per kilometer. The results demonstrate that depending on the scenario; journeys can be offered profitably to customers for CHF 0.3 up to CHF 0.4 per kilometer. While larger fleets allowed for lower price levels and increased profits in the long term, smaller fleets exhibit elevated efficiency levels and profit opportunities per day. The paper concludes with recommendations for how fleet operators can prepare themselves to maximize profit in the autonomous future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20vehicle" title="autonomous vehicle">autonomous vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility%20on%20demand" title=" mobility on demand"> mobility on demand</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20simulation" title=" traffic simulation"> traffic simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=fleet%20provider" title=" fleet provider"> fleet provider</a> </p> <a href="https://publications.waset.org/abstracts/132565/competitiveness-of-a-share-autonomous-electrical-vehicle-fleet-compared-to-traditional-means-of-transport-a-case-study-for-transportation-network-companies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132565.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">124</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7953</span> Optimization of Production Scheduling through the Lean and Simulation Integration in Automotive Company</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guilherme%20Gorgulho">Guilherme Gorgulho</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlos%20Roberto%20Camello%20Lima"> Carlos Roberto Camello Lima</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the competitive market in which companies are currently engaged, the constant changes require companies to react quickly regarding the variability of demand and process. The changes are caused by customers, or by demand fluctuations or variations of products, or the need to serve customers within agreed delivery taking into account the continuous search for quality and competitive prices in products. These changes end up influencing directly or indirectly the activities of the Planning and Production Control (PPC), which does business in strategic, tactical and operational levels of production systems. One area of concern for organizations is in the short term (operational level), because this planning stage any error or divergence will cause waste and impact on the delivery of products on time to customers. Thus, this study aims to optimize the efficiency of production scheduling, using different sequencing strategies in an automotive company. Seeking to aim the proposed objective, we used the computer simulation in conjunction with lean manufacturing to build and validate the current model, and subsequently the creation of future scenarios. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computational%20simulation" title="computational simulation">computational simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=lean%20manufacturing" title=" lean manufacturing"> lean manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20scheduling" title=" production scheduling"> production scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=sequencing%20strategies" title=" sequencing strategies"> sequencing strategies</a> </p> <a href="https://publications.waset.org/abstracts/53432/optimization-of-production-scheduling-through-the-lean-and-simulation-integration-in-automotive-company" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53432.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">271</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7952</span> Flexible Mixed Model Assembly Line Design: A Strategy to Respond for Demand Uncertainty at Automotive Part Manufacturer in Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Yuri">T. Yuri</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Zagloel"> M. Zagloel</a>, <a href="https://publications.waset.org/abstracts/search?q=Inaki%20M.%20Hakim"> Inaki M. Hakim</a>, <a href="https://publications.waset.org/abstracts/search?q=Tegu%20Bintang%20Nugraha"> Tegu Bintang Nugraha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In an era of customer centricity, automotive parts manufacturer in Indonesia must be able to keep up with the uncertainty and fluctuation of consumer demand. Flexible Manufacturing System (FMS) is a strategy to react to predicted and unpredicted changes of demand in automotive industry. This research is about flexible mixed model assembly line design through Value Stream Mapping (VSM) and Line Balancing in mixed model assembly line prior to simulation. It uses value stream mapping to identify and reduce waste while finding the best position to add or reduce manpower. Line balancing is conducted to minimize or maximize production rate while increasing assembly line productivity and efficiency. Results of this research is a recommendation of standard work combination for specifics demand scenario which can enhance assembly line efficiency and productivity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automotive%20industry" title="automotive industry">automotive industry</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20uncertainty" title=" demand uncertainty"> demand uncertainty</a>, <a href="https://publications.waset.org/abstracts/search?q=flexible%20assembly%20system" title=" flexible assembly system"> flexible assembly system</a>, <a href="https://publications.waset.org/abstracts/search?q=line%20balancing" title=" line balancing"> line balancing</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20stream%20mapping" title=" value stream mapping"> value stream mapping</a> </p> <a href="https://publications.waset.org/abstracts/57658/flexible-mixed-model-assembly-line-design-a-strategy-to-respond-for-demand-uncertainty-at-automotive-part-manufacturer-in-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57658.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">330</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7951</span> Order Optimization of a Telecommunication Distribution Center through Service Lead Time</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tam%C3%A1s%20Hartv%C3%A1nyi">Tamás Hartványi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ferenc%20T%C3%B3th"> Ferenc Tóth</a> </p> <p class="card-text"><strong>Abstract:</strong></p> European telecommunication distribution center performance is measured by service lead time and quality. Operation model is CTO (customized to order) namely, a high mix customization of telecommunication network equipment and parts. CTO operation contains material receiving, warehousing, network and server assembly to order and configure based on customer specifications. Variety of the product and orders does not support mass production structure. One of the success factors to satisfy customer is to have a proper aggregated planning method for the operation in order to have optimized human resources and highly efficient asset utilization. Research will investigate several methods and find proper way to have an order book simulation where practical optimization problem may contain thousands of variables and the simulation running times of developed algorithms were taken into account with high importance. There are two operation research models that were developed, customer demand is given in orders, no change over time, customer demands are given for product types, and changeover time is constant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CTO" title="CTO">CTO</a>, <a href="https://publications.waset.org/abstracts/search?q=aggregated%20planning" title=" aggregated planning"> aggregated planning</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20simulation" title=" demand simulation"> demand simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=changeover%20time" title=" changeover time"> changeover time</a> </p> <a href="https://publications.waset.org/abstracts/70267/order-optimization-of-a-telecommunication-distribution-center-through-service-lead-time" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70267.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">267</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7950</span> Accuracy of Peak Demand Estimates for Office Buildings Using Quick Energy Simulation Tool</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahdiyeh%20Zafaranchi">Mahdiyeh Zafaranchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethan%20S.%20Cantor"> Ethan S. Cantor</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20T.%20Riddell"> William T. Riddell</a>, <a href="https://publications.waset.org/abstracts/search?q=Jess%20W.%20Everett"> Jess W. Everett</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The New Jersey Department of Military and Veteran’s Affairs (NJ DMAVA) operates over 50 facilities throughout the state of New Jersey, U.S. NJDMAVA is under a mandate to move toward decarbonization, which will eventually include eliminating the use of natural gas and other fossil fuels for heating. At the same time, the organization requires increased resiliency regarding electric grid disruption. These competing goals necessitate adopting the use of on-site renewables such as photovoltaic and geothermal power, as well as implementing power control strategies through microgrids. Planning for these changes requires a detailed understanding of current and future electricity use on yearly, monthly, and shorter time scales, as well as a breakdown of consumption by heating, ventilation, and air conditioning (HVAC) equipment. This paper discusses case studies of two buildings that were simulated using the QUick Energy Simulation Tool (eQUEST). Both buildings use electricity from the grid and photovoltaics. One building also uses natural gas. While electricity use data are available in hourly intervals and natural gas data are available in monthly intervals, the simulations were developed using monthly and yearly totals. This approach was chosen to reflect the information available for most NJ DMAVA facilities. Once completed, simulation results are compared to metrics recommended by several organizations to validate energy use simulations. In addition to yearly and monthly totals, the simulated peak demands are compared to actual monthly peak demand values. The simulations resulted in monthly peak demand values that were within 30% of the measured values. These benchmarks will help to assess future energy planning efforts for NJ DMAVA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20energy%20modeling" title="building energy modeling">building energy modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=eQUEST" title=" eQUEST"> eQUEST</a>, <a href="https://publications.waset.org/abstracts/search?q=peak%20demand" title=" peak demand"> peak demand</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20meters" title=" smart meters"> smart meters</a> </p> <a href="https://publications.waset.org/abstracts/165986/accuracy-of-peak-demand-estimates-for-office-buildings-using-quick-energy-simulation-tool" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165986.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">68</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7949</span> Investigation on The Feasibility of a Solar Desiccant Cooling System in Libya</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20S.%20Zgalei">A. S. Zgalei</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20T.%20Al-Mabrouk"> B. T. Al-Mabrouk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With a particularly significant growth rate observed in the Libyan commercial and residential buildings coupled with a growth in energy demand, solar desiccant evaporative cooling offers energy savings and promises a good sharing for sustainable buildings where the availability of solar radiation matches with the cooling load demand. The paper presents a short introduction for the desiccant systems. A mathematical model of a selected system has been developed and a simulation has been performed in order to investigate the system performance at different working conditions and an optimum design of the system structure is established. The results showed a technical feasibility of the system working under the Libyan climatic conditions with a reasonable COP at temperatures that can be obtained through the solar reactivation system. Discussion of the results and the recommendations for future work are proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20program" title="computer program">computer program</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20desiccant%20wheel%20cooling" title=" solar desiccant wheel cooling"> solar desiccant wheel cooling</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20modelling" title=" system modelling"> system modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=technical%20feasibility" title=" technical feasibility"> technical feasibility</a> </p> <a href="https://publications.waset.org/abstracts/18458/investigation-on-the-feasibility-of-a-solar-desiccant-cooling-system-in-libya" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18458.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">540</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7948</span> Study of Pressure and Air Mass Flow Effect on Output Power of PEM Fuel Cell Powertrains in Vehicles and Airplanes- A Simulation-based Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahdiye%20Khorasani">Mahdiye Khorasani</a>, <a href="https://publications.waset.org/abstracts/search?q=Arjun%20Vijay"> Arjun Vijay</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Mashayekh"> Ali Mashayekh</a>, <a href="https://publications.waset.org/abstracts/search?q=Christian%20Trapp"> Christian Trapp</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The performance of Proton Exchange Membrane Fuel Cell (PEMFC) is highly dependent on the pressure and mass flow of media (Hydrogen and air) throughout the cells and the stack. Higher pressure, on the one hand, results in higher output power of the stack but, on the other hand, increases the electrical power demand of the compressor. In this work, a simulation model of a PEMFC system for vehicle and airplane applications is developed. With this new model, the effect of different pressures and air mass flow rates are investigated to discover the optimum operating point in a PEMFC system, and innovative operation strategies are implemented to optimize reactants flow while minimizing electrical power demand of the compressor for optimum performance. Additionally, a fuel cell system test bench is set up, which contains not only all the auxiliary components for conditioning the gases, reactants, and flows but also a dynamic titling table for testing different orientations of the stack to simulate the flight conditions during take-off and landing and off-road-vehicle scenarios. The results of simulation will be tested and validated on the test bench for future works. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20mass%20flow%20effect" title="air mass flow effect">air mass flow effect</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization%20of%20operation" title=" optimization of operation"> optimization of operation</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20effect" title=" pressure effect"> pressure effect</a>, <a href="https://publications.waset.org/abstracts/search?q=PEMFC%20system" title=" PEMFC system"> PEMFC system</a>, <a href="https://publications.waset.org/abstracts/search?q=PEMFC%20system%20simulation" title=" PEMFC system simulation"> PEMFC system simulation</a> </p> <a href="https://publications.waset.org/abstracts/144163/study-of-pressure-and-air-mass-flow-effect-on-output-power-of-pem-fuel-cell-powertrains-in-vehicles-and-airplanes-a-simulation-based-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144163.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">175</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7947</span> Forecasting Materials Demand from Multi-Source Ordering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hui%20Hsin%20Huang">Hui Hsin Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The downstream manufactures will order their materials from different upstream suppliers to maintain a certain level of the demand. This paper proposes a bivariate model to portray this phenomenon of material demand. We use empirical data to estimate the parameters of model and evaluate the RMSD of model calibration. The results show that the model has better fitness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=recency" title="recency">recency</a>, <a href="https://publications.waset.org/abstracts/search?q=ordering%20time" title=" ordering time"> ordering time</a>, <a href="https://publications.waset.org/abstracts/search?q=materials%20demand%20quantity" title=" materials demand quantity"> materials demand quantity</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-source%20ordering" title=" multi-source ordering"> multi-source ordering</a> </p> <a href="https://publications.waset.org/abstracts/57842/forecasting-materials-demand-from-multi-source-ordering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57842.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">534</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7946</span> Comparative Analysis of Geographical Routing Protocol in Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Malhotra">Rahul Malhotra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The field of wireless sensor networks (WSN) engages a lot of associates in the research community as an interdisciplinary field of interest. This type of network is inexpensive, multifunctionally attributable to advances in micro-electromechanical systems and conjointly the explosion and expansion of wireless communications. A mobile ad hoc network is a wireless network without fastened infrastructure or federal management. Due to the infrastructure-less mode of operation, mobile ad-hoc networks are gaining quality. During this work, we have performed an efficient performance study of the two major routing protocols: Ad hoc On-Demand Distance Vector Routing (AODV) and Dynamic Source Routing (DSR) protocols. We have used an accurate simulation model supported NS2 for this purpose. Our simulation results showed that AODV mitigates the drawbacks of the DSDV and provides better performance as compared to DSDV. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=routing%20protocol" title="routing protocol">routing protocol</a>, <a href="https://publications.waset.org/abstracts/search?q=MANET" title=" MANET"> MANET</a>, <a href="https://publications.waset.org/abstracts/search?q=AODV" title=" AODV"> AODV</a>, <a href="https://publications.waset.org/abstracts/search?q=On%20Demand%20Distance%20Vector%20Routing" title=" On Demand Distance Vector Routing"> On Demand Distance Vector Routing</a>, <a href="https://publications.waset.org/abstracts/search?q=DSR" title=" DSR"> DSR</a>, <a href="https://publications.waset.org/abstracts/search?q=Dynamic%20Source%20Routing" title=" Dynamic Source Routing"> Dynamic Source Routing</a> </p> <a href="https://publications.waset.org/abstracts/94683/comparative-analysis-of-geographical-routing-protocol-in-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94683.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">275</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7945</span> 156vdc to 110vac Sinusoidal Inverter Simulation and Implementation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Phinyo%20Mueangmeesap">Phinyo Mueangmeesap</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes about pure sinusoidal inverter simulation and implementation from high voltage DC (156 Vdc). This simulation is to study and improve the efficiency of the inverter. By reducing the loss of power from boost converter in current inverter. The simulation is done by using the H-bridge circuit with pulse width modulate (PWM) signal and low-pass filter circuit. To convert the DC into AC. This paper used the PSCad for simulation. The result of simulation can be used to create prototype inverter by converting 156 Vdc to 110Vac. The inverter gives the output signal similar to the output from a simulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverter%20simulation" title="inverter simulation">inverter simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=PWM%20signal" title=" PWM signal"> PWM signal</a>, <a href="https://publications.waset.org/abstracts/search?q=single-phase%20inverter" title=" single-phase inverter"> single-phase inverter</a>, <a href="https://publications.waset.org/abstracts/search?q=sinusoidal%20inverter" title=" sinusoidal inverter"> sinusoidal inverter</a> </p> <a href="https://publications.waset.org/abstracts/58872/156vdc-to-110vac-sinusoidal-inverter-simulation-and-implementation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58872.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">412</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7944</span> Demand Response from Residential Air Conditioning Load Using a Programmable Communication Thermostat</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saurabh%20Chanana">Saurabh Chanana</a>, <a href="https://publications.waset.org/abstracts/search?q=Monika%20Arora"> Monika Arora</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Demand response is getting increased attention these days due to the increase in electricity demand and introduction of renewable resources in the existing power grid. Traditionally demand response programs involve large industrial consumers but with technological advancement, demand response is being implemented for small residential and commercial consumers also. In this paper, demand response program aims to reduce the peak demand as well as overall energy consumption of the residential customers. Air conditioners are the major reason of peak load in residential sector in summer, so a dynamic model of air conditioning load with thermostat action has been considered for applying demand response programs. A programmable communicating thermostat (PCT) is a device that uses real time pricing (RTP) signals to control the thermostat setting. A new model incorporating PCT in air conditioning load has been proposed in this paper. Results show that introduction of PCT in air conditioner is useful in reducing the electricity payments of customers as well as reducing the peak demand. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demand%20response" title="demand response">demand response</a>, <a href="https://publications.waset.org/abstracts/search?q=home%20energy%20management" title=" home energy management"> home energy management</a>, <a href="https://publications.waset.org/abstracts/search?q=programmable%20communicating%20thermostat" title=" programmable communicating thermostat"> programmable communicating thermostat</a>, <a href="https://publications.waset.org/abstracts/search?q=thermostatically%20controlled%20appliances" title=" thermostatically controlled appliances"> thermostatically controlled appliances</a> </p> <a href="https://publications.waset.org/abstracts/1662/demand-response-from-residential-air-conditioning-load-using-a-programmable-communication-thermostat" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1662.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">607</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7943</span> The Market Structure Simulation of Heterogenous Firms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arunas%20Burinskas">Arunas Burinskas</a>, <a href="https://publications.waset.org/abstracts/search?q=Manuela%20Tvaronavi%C4%8Dien%C4%97"> Manuela Tvaronavičienė</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although the new trade theories, unlike the theories of an industrial organisation, see the structure of the market and competition between enterprises through their heterogeneity according to various parameters, they do not pay any particular attention to the analysis of the market structure and its development. In this article, although we relied mainly on models developed by the scholars of new trade theory, we proposed a different approach. In our simulation model, we model market demand according to normal distribution function, while on the supply side (as it is in the new trade theory models), productivity is modeled with the Pareto distribution function. The results of the simulation show that companies with higher productivity (lower marginal costs) do not pass on all the benefits of such economies to buyers. However, even with higher marginal costs, firms can choose to offer higher value-added goods to stay in the market. In general, the structure of the market is formed quickly enough and depends on the skills available to firms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=market" title="market">market</a>, <a href="https://publications.waset.org/abstracts/search?q=structure" title=" structure"> structure</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=heterogenous%20firms" title=" heterogenous firms"> heterogenous firms</a> </p> <a href="https://publications.waset.org/abstracts/144488/the-market-structure-simulation-of-heterogenous-firms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144488.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7942</span> Hybrid Dynamic Approach to Optimize the Impact of Shading Design and Control on Electrical Energy Demand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Parhizkar">T. Parhizkar</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Jafarian"> H. Jafarian</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Aramoun"> F. Aramoun</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Saboohi"> Y. Saboohi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Applying motorized shades have substantial effect on reducing energy consumption in building sector. Moreover, the combination of motorized shades with lighting systems and PV panels can lead to considerable reduction in the energy demand of buildings. In this paper, a model is developed to assess and find an optimum combination from shade designs, lighting control systems (dimming and on/off) and implementing PV panels in shades point of view. It is worth mentioning that annual saving for all designs is obtained during hourly simulation of lighting, solar heat flux and electricity generation with the use of PV panel. From 12 designs in general, three designs, two lighting control systems and PV panel option is implemented for a case study. The results illustrate that the optimum combination causes a saving potential of 792kW.hr per year. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=motorized%20shades" title="motorized shades">motorized shades</a>, <a href="https://publications.waset.org/abstracts/search?q=daylight" title=" daylight"> daylight</a>, <a href="https://publications.waset.org/abstracts/search?q=cooling%20load" title=" cooling load"> cooling load</a>, <a href="https://publications.waset.org/abstracts/search?q=shade%20control" title=" shade control"> shade control</a>, <a href="https://publications.waset.org/abstracts/search?q=hourly%20simulation" title=" hourly simulation"> hourly simulation</a> </p> <a href="https://publications.waset.org/abstracts/81507/hybrid-dynamic-approach-to-optimize-the-impact-of-shading-design-and-control-on-electrical-energy-demand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81507.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">171</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7941</span> Simulation as a Problem-Solving Spotter for System Reliability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wheyming%20Tina%20Song">Wheyming Tina Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Chi-Hao%20Hong"> Chi-Hao Hong</a>, <a href="https://publications.waset.org/abstracts/search?q=Peisyuan%20Lin"> Peisyuan Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An important performance measure for stochastic manufacturing networks is the system reliability, defined as the probability that the production output meets or exceeds a specified demand. The system parameters include the capacity of each workstation and numbers of the conforming parts produced in each workstation. We establish that eighteen archival publications, containing twenty-one examples, provide incorrect values of the system reliability. The author recently published the Song Rule, which provides the correct analytical system-reliability value; it is, however, computationally inefficient for large networks. In this paper, we use Monte Carlo simulation (implemented in C and Flexsim) to provide estimates for the above-mentioned twenty-one examples. The simulation estimates are consistent with the analytical solution for small networks but is computationally efficient for large networks. We argue here for three advantages of Monte Carlo simulation: (1) understanding stochastic systems, (2) validating analytical results, and (3) providing estimates even when analytical and numerical approaches are overly expensive in computation. Monte Carlo simulation could have detected the published analysis errors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Monte%20Carlo%20simulation" title="Monte Carlo simulation">Monte Carlo simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=analytical%20results" title=" analytical results"> analytical results</a>, <a href="https://publications.waset.org/abstracts/search?q=leading%20digit%20rule" title=" leading digit rule"> leading digit rule</a>, <a href="https://publications.waset.org/abstracts/search?q=standard%20error" title=" standard error"> standard error</a> </p> <a href="https://publications.waset.org/abstracts/66317/simulation-as-a-problem-solving-spotter-for-system-reliability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66317.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">362</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7940</span> A Simulation-Optimization Approach to Control Production, Subcontracting and Maintenance Decisions for a Deteriorating Production System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H%C3%A9ctor%20Rivera-G%C3%B3mez">Héctor Rivera-Gómez</a>, <a href="https://publications.waset.org/abstracts/search?q=Eva%20Selene%20Hern%C3%A1ndez-Gress"> Eva Selene Hernández-Gress</a>, <a href="https://publications.waset.org/abstracts/search?q=Oscar%20Monta%C3%B1o-Arango"> Oscar Montaño-Arango</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose%20Ramon%20Corona-Armenta"> Jose Ramon Corona-Armenta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research studies the joint production, maintenance and subcontracting control policy for an unreliable deteriorating manufacturing system. Production activities are controlled by a derivation of the Hedging Point Policy, and given that the system is subject to deterioration, it reduces progressively its capacity to satisfy product demand. Multiple deterioration effects are considered, reflected mainly in the quality of the parts produced and the reliability of the machine. Subcontracting is available as support to satisfy product demand; also overhaul maintenance can be conducted to reduce the effects of deterioration. The main objective of the research is to determine simultaneously the production, maintenance and subcontracting rate which minimize the total incurred cost. A stochastic dynamic programming model is developed and solved through a simulation-based approach composed of statistical analysis and optimization with the response surface methodology. The obtained results highlight the strong interactions between production, deterioration and quality which justify the development of an integrated model. A numerical example and a sensitivity analysis are presented to validate our results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=subcontracting" title="subcontracting">subcontracting</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title=" optimal control"> optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=deterioration" title=" deterioration"> deterioration</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title=" production planning"> production planning</a> </p> <a href="https://publications.waset.org/abstracts/31365/a-simulation-optimization-approach-to-control-production-subcontracting-and-maintenance-decisions-for-a-deteriorating-production-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31365.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">579</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7939</span> Intermittent Demand Forecast in Telecommunication Service Provider by Using Artificial Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Widyani%20Fatwa%20Dewi">Widyani Fatwa Dewi</a>, <a href="https://publications.waset.org/abstracts/search?q=Subroto%20Athor"> Subroto Athor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In a telecommunication service provider, quantity and interval of customer demand often difficult to predict due to high dependency on customer expansion strategy and technological development. Demand arrives when a customer needs to add capacity to an existing site or build a network in a new site. Because demand is uncertain for each period, and sometimes there is a null demand for several equipments, it is categorized as intermittent. This research aims to improve demand forecast quality in Indonesia's telecommunication service providers by using Artificial Neural Network. In Artificial Neural Network, the pattern or relationship within data will be analyzed using the training process, followed by the learning process as validation stage. Historical demand data for 36 periods is used to support this research. It is found that demand forecast by using Artificial Neural Network outperforms the existing method if it is reviewed on two criteria: the forecast accuracy, using Mean Absolute Deviation (MAD), Mean of the sum of the Squares of the Forecasting Error (MSE), Mean Error (ME) and service level which is shown through inventory cost. This research is expected to increase the reference for a telecommunication demand forecast, which is currently still limited. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20forecast" title=" demand forecast"> demand forecast</a>, <a href="https://publications.waset.org/abstracts/search?q=forecast%20accuracy" title=" forecast accuracy"> forecast accuracy</a>, <a href="https://publications.waset.org/abstracts/search?q=intermittent" title=" intermittent"> intermittent</a>, <a href="https://publications.waset.org/abstracts/search?q=service%20level" title=" service level"> service level</a>, <a href="https://publications.waset.org/abstracts/search?q=telecommunication" title=" telecommunication"> telecommunication</a> </p> <a href="https://publications.waset.org/abstracts/135655/intermittent-demand-forecast-in-telecommunication-service-provider-by-using-artificial-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135655.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">164</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7938</span> An Artificial Intelligence Supported QUAL2K Model for the Simulation of Various Physiochemical Parameters of Water</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehvish%20Bilal">Mehvish Bilal</a>, <a href="https://publications.waset.org/abstracts/search?q=Navneet%20Singh"> Navneet Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Jasir%20Mushtaq"> Jasir Mushtaq</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Water pollution puts people's health at risk, and it can also impact the ecology. For practitioners of integrated water resources management (IWRM), water quality modelling may be useful for informing decisions about pollution control (such as discharge permitting) or demand management (such as abstraction permitting). To comprehend the current pollutant load, movement of effective load movement of contaminants generates effective relation between pollutants, mathematical simulation, source, and water quality is regarded as one of the best estimating tools. The current study involves the Qual2k model, which includes manual simulation of the various physiochemical characteristics of water. To this end, various sensors could be installed for the automatic simulation of various physiochemical characteristics of water. An artificial intelligence model has been proposed for the automatic simulation of water quality parameters. Models of water quality have become an effective tool for identifying worldwide water contamination, as well as the ultimate fate and behavior of contaminants in the water environment. Water quality model research is primarily conducted in Europe and other industrialized countries in the first world, where theoretical underpinnings and practical research are prioritized. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=QUAL2K" title=" QUAL2K"> QUAL2K</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=physiochemical%20parameters" title=" physiochemical parameters"> physiochemical parameters</a> </p> <a href="https://publications.waset.org/abstracts/158566/an-artificial-intelligence-supported-qual2k-model-for-the-simulation-of-various-physiochemical-parameters-of-water" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158566.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">104</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7937</span> Study on Ecological Water Demand Evaluation of Typical Mountainous Rivers in Zhejiang Province: Taking Kaihua River as an Example</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kaiping%20Xu">Kaiping Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Aiju%20You"> Aiju You</a>, <a href="https://publications.waset.org/abstracts/search?q=Lei%20Hua"> Lei Hua</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In view of the ecological environmental problems and protection needs of mountainous rivers in Zhejiang province, a suitable ecological water demand evaluation system was established based on investigation and monitoring. Taking the Kaihua river as an example, the research on ecological water demand and the current situation evaluation were carried out. The main types of ecological water demand in Majin River are basic ecological flow and lake wetland outside the river, and instream flow and water demands for water quality in Zhongcun river. In the wet season, each ecological water demand is 18.05m3/s and 2.56m3 / s, and in the dry season is 3.00m3/s and 0.61m3/s. Three indexes of flow, duration and occurrence time are used to evaluate the ecological water demand. The degree of ecological water demand in the past three years is low level of satisfaction. Meanwhile, the existing problems are analyzed, and put forward reasonable and operable safeguards and suggestions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhejiang%20province" title="Zhejiang province">Zhejiang province</a>, <a href="https://publications.waset.org/abstracts/search?q=mountainous%20river" title=" mountainous river"> mountainous river</a>, <a href="https://publications.waset.org/abstracts/search?q=ecological%20water%20demand" title=" ecological water demand"> ecological water demand</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaihua%20river" title=" Kaihua river"> Kaihua river</a>, <a href="https://publications.waset.org/abstracts/search?q=evaluation" title=" evaluation"> evaluation</a> </p> <a href="https://publications.waset.org/abstracts/94998/study-on-ecological-water-demand-evaluation-of-typical-mountainous-rivers-in-zhejiang-province-taking-kaihua-river-as-an-example" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94998.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">241</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7936</span> Modeling and Simulation Analysis and Design of Components of the Microgrid Prototype System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Draou%20Azeddine">Draou Azeddine</a>, <a href="https://publications.waset.org/abstracts/search?q=Mazin%20Alahmadi"> Mazin Alahmadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulrahmane%20Alkassem"> Abdulrahmane Alkassem</a>, <a href="https://publications.waset.org/abstracts/search?q=Alamri%20Abdullah"> Alamri Abdullah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The demand for electric power in Saudi Arabia is steadily increasing with economic growth. More power plants should be installed to increase generation capacity and meet demand. Electricity in Saudi Arabia is mainly dependent on fossil fuels, which are a major problem as they deplete natural resources and increase CO₂ emissions. In this research work, performance and techno-economic analyzes are conducted to evaluate a microgrid system based on hybrid PV/wind diesel power sources as a stand-alone system for rural electrification in Saudi Arabia. The total power flow, maximum power point tracking (MPPT) efficiency, effectiveness of the proposed control strategy, and total harmonic distortion (THD) are analyzed in MATLAB/Simulink environment. Various simulation studies have been carried out under different irradiation conditions. The sizing, optimization, and economic feasibility analysis were performed using Homer energy software. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=WIND" title="WIND">WIND</a>, <a href="https://publications.waset.org/abstracts/search?q=solar" title=" solar"> solar</a>, <a href="https://publications.waset.org/abstracts/search?q=microgrid" title=" microgrid"> microgrid</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a> </p> <a href="https://publications.waset.org/abstracts/156602/modeling-and-simulation-analysis-and-design-of-components-of-the-microgrid-prototype-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156602.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">108</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7935</span> Comparing Energy Labelling of Buildings in Spain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carolina%20Aparicio-Fern%C3%A1ndez">Carolina Aparicio-Fernández</a>, <a href="https://publications.waset.org/abstracts/search?q=Alejandro%20Vilar%20Abad"> Alejandro Vilar Abad</a>, <a href="https://publications.waset.org/abstracts/search?q=Mar%20Ca%C3%B1ada%20Soriano"> Mar Cañada Soriano</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose-Luis%20Vivancos"> Jose-Luis Vivancos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The building sector is responsible for 40% of the total energy consumption in the European Union (EU). Thus, implementation of strategies for quantifying and reducing buildings energy consumption is indispensable for reaching the EU’s carbon neutrality and energy efficiency goals. Each Member State has transposed the European Directives according to its own peculiarities: existing technical legislation, constructive solutions, climatic zones, etc. Therefore, in accordance with the Energy Performance of Buildings Directive, Member States have developed different Energy Performance Certificate schemes, using proposed energy simulation software-tool for each national or regional area. Energy Performance Certificates provide a powerful and comprehensive information to predict, analyze and improve the energy demand of new and existing buildings. Energy simulation software and databases allow a better understanding of the current constructive reality of the European building stock. However, Energy Performance Certificates still have to face several issues to consider them as a reliable and global source of information since different calculation tools are used that do not allow the connection between them. In this document, TRNSYS (TRaNsient System Simulation program) software is used to calculate the energy demand of a building, and it is compared with the energy labeling obtained with Spanish Official software-tools. We demonstrate the possibility of using not official software-tools to calculate the Energy Performance Certificate. Thus, this approach could be used throughout the EU and compare the results in all possible cases proposed by the EU Member States. To implement the simulations, an isolated single-family house with different construction solutions is considered. The results are obtained for every climatic zone of the Spanish Technical Building Code. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20demand" title="energy demand">energy demand</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20performance%20certificate%20EPBD" title=" energy performance certificate EPBD"> energy performance certificate EPBD</a>, <a href="https://publications.waset.org/abstracts/search?q=trnsys" title=" trnsys"> trnsys</a>, <a href="https://publications.waset.org/abstracts/search?q=buildings" title=" buildings"> buildings</a> </p> <a href="https://publications.waset.org/abstracts/146655/comparing-energy-labelling-of-buildings-in-spain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146655.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">126</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7934</span> A Discrete Event Simulation Model to Manage Bed Usage for Non-Elective Admissions in a Geriatric Medicine Speciality</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammed%20Ordu">Muhammed Ordu</a>, <a href="https://publications.waset.org/abstracts/search?q=Eren%20Demir"> Eren Demir</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20Tofallis"> Chris Tofallis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the past decade, the non-elective admissions in the UK have increased significantly. Taking into account limited resources (i.e. beds), the related service managers are obliged to manage their resources effectively due to the non-elective admissions which are mostly admitted to inpatient specialities via A&E departments. Geriatric medicine is one of specialities that have long length of stay for the non-elective admissions. This study aims to develop a discrete event simulation model to understand how possible increases on non-elective demand over the next 12 months affect the bed occupancy rate and to determine required number of beds in a geriatric medicine speciality in a UK hospital. In our validated simulation model, we take into account observed frequency distributions which are derived from a big data covering the period April, 2009 to January, 2013, for the non-elective admission and the length of stay. An experimental analysis, which consists of 16 experiments, is carried out to better understand possible effects of case studies and scenarios related to increase on demand and number of bed. As a result, the speciality does not achieve the target level in the base model although the bed occupancy rate decreases from 125.94% to 96.41% by increasing the number of beds by 30%. In addition, the number of required beds is more than the number of beds considered in the scenario analysis in order to meet the bed requirement. This paper sheds light on bed management for service managers in geriatric medicine specialities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bed%20management" title="bed management">bed management</a>, <a href="https://publications.waset.org/abstracts/search?q=bed%20occupancy%20rate" title=" bed occupancy rate"> bed occupancy rate</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20event%20simulation" title=" discrete event simulation"> discrete event simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=geriatric%20medicine" title=" geriatric medicine"> geriatric medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=non-elective%20admission" title=" non-elective admission"> non-elective admission</a> </p> <a href="https://publications.waset.org/abstracts/89088/a-discrete-event-simulation-model-to-manage-bed-usage-for-non-elective-admissions-in-a-geriatric-medicine-speciality" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89088.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">223</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=demand%20simulation&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=demand%20simulation&page=3">3</a></li> <li class="page-item"><a class="page-link" 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