Sensitivity analysis and energy optimization in residential complex in warm and semi-humid climates of Iran (Dezful)
Publish place: Energy Equipment and Systems، Vol: 9، Issue: 1
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 289
This Paper With 20 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_EES-9-1_006
تاریخ نمایه سازی: 8 خرداد 1400
Abstract:
Building energy optimization based on sensitivity analysis, considering all parameters influencing energy consumption, has not been so far implemented in Iran. Among the few previous works in this line, only one or two factors have been investigated. Thus, the present study can be introduced as the most complete one of its kind. To this end, the researchers first simulated energy consumption in a building located in the city of Dezful, southwestern Iran, with a hot and semi-humid climate, through the Quick Energy Simulation Tool (eQUEST) to illustrate thermal load for an assortment of important parameters. Then, they extracted some relationships using the SPSS Statistics, to connect energy (namely, electricity and gas) used in the building with the factors concerned. Finally, validations were performed to check the results via converting the data into neural networks and employing a genetic algorithm (GA) at each level of the study. The error between the software results and the annual gas bills was ۹.۲% and the error between the regression function and the measured values was ˃۱%. Moreover, optimization error was about ۴.۳%. The results demonstrated that equipment power density and heating system efficiency were respectively among factors that could significantly affect electricity and gas consumption rates in buildings located in the climate in question.
Keywords:
Authors
Alireza Baheri
Department of Mechanical Engineering, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran
Mohammad Najafi
Department of Mechanical Engineering, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran
Aziz Azimi
School of Mechanical Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Cyrus Aghanajafi
School of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :