Buildings are the largest energy consumer in the world, according to the United Nations Environment Program. Most of the energy will be used during the building life-cycle stage. Thus, achieving sustainable development at the national level requires minimizing the impact of buildings on the environment by reducing energy consumption. Using Building Information Modeling technology in energy performance assessment could be significantly reduced time and cost. This study aimed to optimize energy consumption in a (...) residential building using BIM technology. The main focus of this study was to evaluate energy performance through the simultaneous evaluation of building components using BIM technology with a conceptual design approach, comparison, and reduction of energy consumption. To investigate different design ideas were created several conceptual masses in Autodesk Revit software with a top-down design approach. After reviewing the conceptual masses, the main building form was chosen for modeling. Then, building energy consumption was computed using related tools in this field, based on the type of materials, equipment, and project location. Finally, the most optimal mode was selected by examining different energy consumption forms. The results of parametric studies on alternative schemes of energy optimization showed that 58.46% of energy cost savings could be achieved compared to the initial model of the building on a 30-year time horizon. (shrink)

Buildings are the largest energy consumer worldwide, according to the United Nations Environment Programme (UNEP). Most of the building’s energy consumption is in the building’s life cycle stage. Therefore, achieving sustainable development at the national level requires minimizing the building’s effects on the environment via reducing energy consumption by buildings. The building’s energy performance will be predicted and evaluated by the energy simulation. Using BIM in EPAs significantly reduces time and costs. This study aimed (...) to optimize energy consumption in buildings using Building Information Modeling (BIM) Technology, which can assess energy performance in the building. In this research, the general form of the building was modeled on the Autodesk Revit Software. The main shape of the building was chosen for modeling after reviewing the proposed designs. Then, the building energy consumption was calculated using the relevant tools in this scope, according to the materials, equipment, and project location. Finally, the best possible mode was selected by examining different modes of energy consumption. The results showed that 61.48% difference between the best mode of energy consumption optimization and the current mode of the building and 79.35% compared to the initial mode. Finally, parametric studies of alternative cost optimization schemes showed that saving 58.23% of the building’s current status for a 30-year horizon. (shrink)

Traditionally, building energy model is created in isolation from the architectural building information model and energy analyses have relied on a single analysis tool. The building energy model can be generated more quickly by leveraging existing data from the BIM. The impacts of energy consumption are significant in the building usage phase, which can last several decades. Due to the large share of the final energy consumption in the building sector, accurate analysis of thermal and (...) cooling loads of a building and the efforts to reduce energy losses represent an effective way to reduce energy consumption. Therefore, it is essential to analyze the building energy performance in the design phase, which is when critical decisions are made. This study aims to investigate the impact of the building components and construction materials on building energy efficiency using Building Information Modeling (BIM) technology in a mild climate zone. After reviewing the proposed designs, the main building form was chosen for energy modeling and analysis. Then, building energy consumption analysis was performed based on the basic parameters of the building energy model. Eventually, the most optimal mode was selected by examining different energy consumption forms. This study showed that the building HVAC system always had the largest share of energy consumption. Finally, the results of parametric studies on alternative schemes of energy use intensity optimization showed that 22.59 % savings could be achieved as compared to the base building model in a 30-year time horizon. (shrink)