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Due to increasing dependence of our modern life on automated household equipment, higher energy demand has posed significant burden on electricity consumption in major housing models. A large number of old houses and apartment buildings in major cities are energy-deficient, leading to significant overloading of the existing nuclear power plants. Secondary consequences such as increase in electricity unit rate are also financially affecting the owners of the buildings. In this paper, it is proposed to develop newer strategies to identify critical variables contributing to energy efficiency and design more energy-efficient housing architectures. The need to reduce global warming and achieve near-zero-energy building leads to the development of new research idea where multicomponent energy assessment of the buildings can be performed by changing various parameters such as orientation and surroundings of a house, materials and other internal and external configurations. It is proposed to use Building Information Modeling (BIM) to virtually model a house and evaluate its energy performance. Changes of internal and external configurations of a structure can impact annualized maintenance budget of residential houses and other public infrastructure such as walk-in clinics, shopping complexes or office buildings. Various case studies are conducted which enable the building owners to better understand the practical aspects of designing green buildings, thereby leading to significant cost-savings and strengthen the quality of life in major cities.