Energy Demand Analysis for Office Building Using Simulation Model and Statistical Method


  • Mahdi Shakouri School of Environment, College of Engineering, University of Tehran, Tehran, Iran
  • Hossein Ghadamian Department of Energy, Materials and Energy Research Center (MERC), P.O. Box: 14155-4777, Tehran, Iran



Building energy demand, simulation model, engineering model, multivariate regression, statistical analysis


This research is focused on the development of a reliable energy demand model for a case study using a comprehensive dual approach including: (1) engineering load calculation and simulation model via software and (2) statistical analysis. The simulated model is capable to cover the analysis of the cooling and thermal loads for a studied building. Concerning the building operation perspective, the statistical models were provided using the real measured data and multivariable regression analysis. For evaluating the performance of the developed statistical models, the authors have calibrated the models with the real measured data and then the impact of relevant variables has been evaluated through statistical tests and sensitivity analysis.

According to the results of this study, the rated power for the cooling system and the capacity of the thermal system are 75.8 (kW) and 147.7 (kW), respectively. Based on the results of the statistical models, the measured and modelled data have been correlated with a strong coefficient of determination. The accuracy of models has been examined by calculating the statistical error indices with a suitable finding. Thus, the proposed models can be considered as an accurate findings for the energy performance analysis and demand forecasting objectives.

Author Biographies

Mahdi Shakouri, School of Environment, College of Engineering, University of Tehran, Tehran, Iran

Mahdi Shakouri received the PhD degree in energy systems engineering – energy and environment from the University of Tehran in 2020. He is a project manager in the field of energy and environment with a demonstrated history of working in the sustainable industrial development. He is currently working as an energy efficiency advisor in international projects. His research areas include energy systems, industrial energy efficiency, photovoltaics, energy-efficient building and water desalination. He has been serving as a reviewer for high-impact factor journals.

Hossein Ghadamian, Department of Energy, Materials and Energy Research Center (MERC), P.O. Box: 14155-4777, Tehran, Iran

Hossein Ghadamian is an associate professor at Materials and Energy Research Center (MERC), received a post-doctorate in an off-design analysis of energy systems from the Lund University in Sweden in 2008 and received PhD in energy systems engineering in 2004 from the science & research branch of IAU in Iran. He is brilliant at mechanical engineering respectively with 24 years of experience in universities & contributed to industrial plants. He is currently working on fields related to technical knowledge in optimization and parametric analysis concerning energy profile modelling & simulations and real enthusiasm in experimental research & developments. He is providing consulting services for energy auditing, energy management, energy standard implementations and energy solution projects in process industries (i.e., petrochemical, power generation, etc.)


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How to Cite

Shakouri, M. ., & Ghadamian, H. . (2022). Energy Demand Analysis for Office Building Using Simulation Model and Statistical Method. Distributed Generation &Amp; Alternative Energy Journal, 37(05), 1577–1612.