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468N. Amani, A.A. Reza SoroushINTRODUCTIONAlong with rapid increase of energy consumption the concerns about production problems, degradation of energy resources and severe environmental impacts (loss of ozone layer, global warming, climate change, etc.) have been increased in the world (Jung et al., 2013). Nowadays, energy efficiency in the building is the main objective in energy policy at regional, national, and international levels (P%u00e9rez-Lombard et al., 2008). Achieving sustainable development at the national level requires minimizing the impact of building on the environment by reducing energy consumption (Choi et al., 2016). The current methods and techniques for energy simulation of buildings are time-consuming and difficult. Moreover, they suffer from lack of high interaction capability between the theoretical and real energy data. )Venkataraman and Kannan, 2013). Early phases of building design play a crucial role in the performance of a building%u2019s life cycle in terms of resources, energy consumption and life cycle costs (Kovacic and Zoller, 2015). Analyzing the energy performance of a building during the early design stage requires access to specific information such as properties of materials, U-value, and technical systems. Such information is one of the determinants of building energy performance (Schlueter and Thesseling, 2009). Insufficient adaptation due to the complexity of data exchange between architectural design and building energy simulation prevents the effective use of energy performance analyses in the initial design stage (Kim et al., 2015). Efficiency of energy resources in new buildings can affect the design of a building by adopting an integrated approach (Venkataraman and Kannan, 2013). Building information modeling (BIM) is a good candidate to be used for extracting the data such as daylighting or energy in different areas. (Cemesova et al., 2015). BIM consists of digital representation of physical and functional characteristics of a building. It is used as a common source of information about a building%u2019s reliable facilities for decision making during its lifecycle from the beginning to the end (Shivsharan et al., 2017). Based on literature review, the main potentials and value-added for accepting BIM technology in the energy sector have been summarized in Table 1. Famous database (sciencedirect, emerald, ASCE, tandfonline) has been searched using the keywords including energy conservation, BIM, effective parameters, and cost saving. All the authors whose fields of study were close to the theme of this study were extracted. The findings show that no studies have addressed the effective parameters of building energy using BIM.Today, most of the environmental problems in the world are related to the use of fossil fuels, especially in the construction sector. In Iran, a considerable amount of energy is annually consumed in the building and housing sectors. The share of buildings%u2019 fuel consumption in 2016 was about 41.4% of the total energy consumption in the country, which was the highest amount of energy consumption (Ministry of Energy, 2016). Due to the large share of final energy consumption in this sector, accurate analysis of the thermal and cooling loads of a building and efforts to reduce energy losses in it are effective ways to reduce energy consumption. Energy performance assessment using BIM would save a lot of time and money (Choi et al., 2016). This study attempts to render energy performance assessment based on Building Information Modeling technology (BIM-EPAs) and indicates that it can help in design identification, comparison, and reduction of energy consumption in the initial phase of design. The aim of this study is to investigate the effective parameters envolved in energy consumption and uses Building Information Modeling (BIM) technology to evaluate the buildings energy performance. This study has been carried out in Bandar Anzali, Iran during 2019-2020.MATERIALS AND METHODSSoftware selection Autodesk Revit 2020 was selected to create a building information model. One of the reasons for choosing this software as a reference software is its tools for different design strategies with a modeling approach from bottom to top and top to bottom. Using the Autodesk internal plugin of the site, it is also possible to perform energy analysis in this software. Another application of this software is support of building data output in standard formats (such as IFC and gbXML), which makes it possible to perform energy analysis by other energy analyzer software. To perform energy analysis in this study, an energyrelated tool was used. This tool was chosen due to its good ability to create an energy model and visualize it in early design studies. Moreover, Autodesk Green Building Studio (GBS) software is used to obtain the results of climate data analysis and building energy