دانلود مقاله ISI انگلیسی شماره 67410
ترجمه فارسی عنوان مقاله

اندازه گیری مدل های انرژی ابنیه تاریخی برای دمای هوا و سطح در ساعات روز داخلی: روش و مطالعه موردی

عنوان انگلیسی
Calibrating historic building energy models to hourly indoor air and surface temperatures: Methodology and case study
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
67410 2015 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy and Buildings, Volume 108, 1 December 2015, Pages 236–243

ترجمه کلمات کلیدی
ساختمان تاریخی؛ مطالعه موردی؛ شبیه سازی؛ نظارت بر؛ کالیبراسیون؛ تجزیه و تحلیل میزان حساسیت؛ بهینه سازی ازدحام ذرات؛
کلمات کلیدی انگلیسی
Historic building; Case study; Simulation; Monitoring; Calibration; Sensitivity analysis; Particle swarm optimization; EnergyPlus
پیش نمایش مقاله
پیش نمایش مقاله  اندازه گیری مدل های انرژی ابنیه تاریخی برای دمای هوا و سطح در ساعات روز داخلی: روش و مطالعه موردی

چکیده انگلیسی

Uncalibrated building energy models, as well as models calibrated only on a single performance indicator such as energy consumption or indoor temperature, can be significantly unreliable regarding model parameters and other performance indicators. The risk of obtaining a calibrated model whose parameters are far from the actual values is particularly high in historic buildings because of the increased uncertainty about the building construction. In this paper, we propose a calibration methodology aimed at reducing this risk and apply it on a medieval building. The building was modeled in EnergyPlus based on an energy audit. A sensitivity analysis was performed to identify significant parameters affecting the errors between simulated and monitored indoor air temperatures. The model was calibrated on the hourly indoor air temperatures in summer by minimizing the root mean square error averaged over the building using a particle swarm optimization algorithm. A second calibration was performed by varying the parameters of a representative room. By comparing the results from these two calibrations, we obtained indications about the accuracy of the model parameters. Finally, the model was validated on hourly indoor air and surface temperatures in winter where temperature root mean square errors ranged from 0.4 to 0.8 K.