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Research on Big Data-driven Cost Management Model for Building Energy Efficiency Projects

By: Chen Li 1, Xin Liu 2
1School of Economics and Management, Xi’an University of Architecture and Technology Huaqing College, Xi’an, Shaanxi, 710043, China
2Communication Institute of Communication Signal Design Institute, China Railway First Survey and Design Institute Group Co., Ltd., Xi’an, Shaanxi, 710043, China

Abstract

Since the release of the Green Action Program, all places are responding to and actively promoting the development of green and energy-efficient buildings, but due to the immaturity of related research, so that the construction cost of energy-efficient buildings has been high. In this study, the BA algorithm is used to optimize the parameters and accuracy of the ELM network structure model to obtain the BA-ELM algorithm, and the data values of each cost index of the building energy-saving project are used as the algorithm inputs to achieve the prediction of the building cost. Then the optimal cost control scheme in the building energy-saving project is analyzed by combining the chain substitution method to realize the effective control and management of building cost. It is found that the BA-ELM algorithm has good applicability in the cost control mode of building energy efficiency projects. After applying the innovative management model in the case project, the optimized construction cost of the roof waterproofing project was reduced by 15.48% compared to the original cost. The total cost of energy efficiency measures in the building project was also reduced from 8,257,900 RMB to 7,472,700 RMB. The model proposed in this study realizes the purpose of cost management and control of building energy efficiency projects, which can effectively reduce all costs in building energy efficiency related projects and has significant economic and social benefits.