A Novel Energy Optimization Method in Construction Engineering

With the continuous increase of building equipment, the proportion of building energy consumption in the total energy consumption of the whole city is also rising. Building energy conservation has become a hot issue in the current research field. Artificial intelligence and computer network technology have been used for building energy optimization and become a popular solution for building energy conservation. In this paper, a differential-benefit evaluation model is used to process building energy consumption condition, build an energy consumption analysis platform, and analyze the dynamic changes of energy consumption and renewable energy available in real time. The practice results show that by connecting building energy consumption equipment to the Internet of things and through the establishment of energy management system and effective analysis of building energy consumption big data, this scheme can effectively optimize building energy consumption and transform traditional building energy consumption optimization into a new mode of intelligent building energy consumption management.