Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings

Highlights: • Operational energy is targeted to generate energy efficient buildings. • A mathematical optimization model is examined to achieve the BIM-LCA integration. • Integrated optimisation-BIM-LCA leads to sustainable residential building decisions. • Impacts of annual energy use intensity can be reduced by about 45%. • Environmental impacts such as global warming can be reduced by more than 30%. -- Abstract: Energy consumption in buildings is a very important issue, where the operational demand is considered to be one of the highest amongst all other sectors of an economy. Moving towards energy efficient buildings is a key factor to achieve sustainability. A novel framework for integrating mathematical optimization, Building Information Modeling, and Life Cycle Assessment to enhance the operating energy efficiency of the resulting building designs adopted, along with reducing the difficulties associated with the construction of the building, in terms of cost of construction, is developed. The framework accommodates various parameters, via integrating mathematical optimization programming, Building Information Modeling, and Life Cycle Assessment to improve the building performance, identify alternative sustainable designs, and empower the decision-making process and sustainability in the construction sector. Through the developed optimization model, the examination of various alternatives for building components that make up the envelope of a residential building is undertaken. Insights gained from the results show that all components of building envelopes influence the energy consumption in buildings, particularly, exterior walls and windows. Impacts in terms of annual energy use intensity can be reduced by about 45%, life cycle energy use and cost can be enhanced by more than 50%, and environmental impacts such as acidification and global warming potential can be reduced by more than 30%, due to use of the proposed framework. This work indicates that sustainable building decisions can be achieved by optimizing the material selection and assessment of environmental impact via Building Information Modeling and life cycle assessment.