Estimation of Greenhouse Gas Reduction Potential by Optimizing Energy Consumption in Office Building in Tehran Using Energy Plus Software

Subject Areas : Energy

Saeed Shajari ¹ ( Department of Environmental Engineering, Faculty of Environment and Natural Resources, Islamic Azad University, Science and Research Branch )
Azita Behbahaninia ² ( Department of Environment, Faculty of Agriculture and Basic Sciences, Islamic Azad University, Roodehen Branch )
Ashkan Ebdali Susan ³ ( Assistant Professor, Department of Energy Engineering, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran )

Received: 2021-11-20 Accepted : 2022-06-15 Published : 2022-03-21

Keywords: Greenhouse gas, Energy Plus software, Thermal Comfort, Energy audit,

Abstract :

Background and Aim: Energy consumption in the country's buildings is about two to four times the average energy consumption in other countries of the world. Also in the construction sector, public and government buildings account for 70% of this energy consumption. The limited energy resources and the effects of losses on its excessive consumption make a suitable and optimal plan necessary from the perspective of energy consumption. The purpose of this study is to investigate and change the pattern of energy consumption in office buildings in order to reduce greenhouse gases.Methods: In order to perform optimization in the studied building, the amount of energy consumption and details related to the heating, cooling and lighting systems of the selected building were measured, collected and measured through field visits with the help of a luxury meter. In this study, using energy plus software, energy consumption for the building, which is in the group of buildings with high energy consumption, was simulated. It should be noted that the values ​​of energy loss, comfort level and energy consumption indicators in the building. The selection was also calculated.Results: The results show that effective optimization measures in the building can reduce carbon dioxide emissions and reduce energy consumption by 14 to 20 percent annually.Conclusion: According to calculations, an average of 50% of annual energy consumption is wasted, which can be reduced to 30% by performing audit measures and thermal comfort, which is sometimes calculated to be more than 60% in certain seasons in the building increased.

References:

• 1- Bünning, F., Huber, B., Heer, P., Aboudonia, A., & Lygeros, J. (2020). Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings. Energy and Buildings, 211, 109792.‏


• 2- زهری س، طاهباز م ، اعتصام ا .(1396 )ارائه الگوی بهینه استقرار ساختمان ها در مجتمع های مسکونی ویلایی در شهر رشت با رویکرد بهره گیری بهینه از انرژی خورشید و باد. نشریه مدیریت شهری شماره 47، 21-32


• 3- اقتداری, ع, نصر ط, موحدخ، برزگر مروستی ز. (1399). بررسی میزان صرفه‌جویی در مصرف انرژی مسکن زمین‌پناه در مقایسه با مدل مستقر بر سطح زمین (مطالعه موردی: شهر شیراز). مهندسی تونل و فضاهای زیرزمینی, 9(2),.206-185


• 4- شرقی،ع, ن. (1397). نقش فرم سقف درصرفه جویی میزان انرژی گرمایشی با معیار اسایش حرارتی محیط زندگی. فصلنامه علوم و تکنولوژی محیط زیست،ویرایش 7،شماره3،چاپ دوم


• 5- Leman, A. M., Sharif, H. Z., Krizou, A. N., Al-Tarawne, M. T. A., Subbiah, M., Al Farsi, M., & Irfan, A. R. (2020). Single Objective Optimization of Net Zero Energy Residential Building in Tropical Climate. In IOP Conference Series: Materials Science and Engineering (Vol. 864, No. 1, p. 012015). IOP Publishing


• 6- بختیاری, و, فیاض, ر، (1399). قابلیت‌ها و محدودیت‌های ابزارهای بهینه سازی انرژی در مرحله طراحی معماری. نشریه انرژی ایران, 22(1), 127-150.


• 7- مقررات ملی ساختمان ،مبحث 19 مقررات ملی ساختمان (صرفه جویی در مصرف انرژی )،نشر مرکز تحقیقات راه ،مسکن و شهرسازی ،ویرایش چهارم و ابتدای 1399


• 8- حافظی فرد, ر،زارع‌پور احمدآبادی, ج، عباسی ه. (1399). شناسایی عوامل موثر در مصرف انرژی خانگی به کمک روش‌های داده‌کاوی. نشریه انرژی ایران, 23(1), 25-45.


• 9- Giouri, E. D., Tenpierik, M., & Turrin, M. (2020). Zero energy potential of a high-rise office building in a Mediterranean climate: Using multi-objective optimization to understand the impact of design decisions towards zero-energy high-rise buildings. Energy and Buildings, 209, 109666.


• 10- Joe, J., & Karava, P. (2019). A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings. Applied Energy, 245, 65-77.


• 11- Salem, R., Bahadori-Jahromi, A., M, A, G, P., & Cook, D. (2020). Energy performance and cost analysis for the nZEB retrofit of a typical UK hotel. Journal of Building Engineering, 31, 101403.


• 12- Allahyari, F,Behbahaninia,A,Rahami,H,(2019),Development of Model for Energy management in office buildings by neural networks case study:Bandar Abbas,International journal of environmental science and technology.


• 13- الهیاری ف، بهبهانی نیا آ، رحامی ح،(1398)،تدوین مدل مدیریت انرژی در بخش ساختمان با به کار گیری الگوریتم PSO(مطالعه موردی شهرستان بندر عباس )، بیست و چهارمین همایش ملی انجمن متخصصان محیط زیست و چهاردهمین جشنواره توسعه سبز،تهران،https://civilica.com/doc/1016361


• 14- شاعری, ج, یعقوبی, م, وکیلی نژاد, ر.(1399). تأثیر شیشۀ هوشمند الکتروکرومیک بر بار سرمایش ساختمان‌های اداری در اقلیم گرم و مرطوب، گرم و خشک و سرد ایران. نشریه مهندسی و مدیریت انرژی, 10(3), 90-99.