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Simplified Linear Regression Model to Quantify the Thermal Resilience of Office Buildings in Three Different Power Outage Day Times
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In hot climates, power outages in office buildings pose risks to the health and productivity of workers. Therefore, it is of interest to quantify the thermal resilience of office buildings by developing a user-friendly simplified model. This simplified model begins with creating an assessment metric of thermal resilience that measures the duration between the power outage and the point at which the thermal habitability condition is compromised, considering different power interruption times (morning, noon, and afternoon). In this context, energy simulations of an office building are conducted for Qatar's summer weather by changing different parameters that are related to the (i) wall characteristics, (ii) glazing characteristics, (iii) load, (iv) orientation and (v) air leakage. The simulation results are processed using SPSS to derive linear regression equations, aiding stakeholders in evaluating the performance of commercial buildings during different power interruption times. The findings reveal the significant influence of glazing characteristics on thermal resilience, with the morning power outage scenario posing the most detrimental impact in terms of the shortest duration before compromising thermal resilience. <iframe src="https://publications.waset.org/abstracts/173363.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thermal%20resilience" title="thermal resilience">thermal resilience</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20envelope" title=" thermal envelope"> thermal envelope</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20modeling" title=" energy modeling"> energy modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20simulation" title=" building simulation"> building simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20comfort" title=" thermal comfort"> thermal comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20disruption" title=" power disruption"> power disruption</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20weather" title=" extreme weather"> extreme weather</a> </p> <a href="https://publications.waset.org/abstracts/173363/simplified-linear-regression-model-to-quantify-the-thermal-resilience-of-office-buildings-in-three-different-power-outage-day-times" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173363.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">74</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" 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