Energy consumption analysis and saving of buildings based on static and dynamic input-output models

With the increase of building area, energy consumption of building and carbon dioxide (CO2) emissions have been increased. Reducing the energy consumption of buildings has an enormous impact on the sustainable development of the world economy and social. Therefore, this paper proposes a novel energy consumption analysis and saving method of the building based on static and dynamic input-output models. The input-output based data envelopment analysis (DEA) is used to analyze the energy consumption of the building statically. Then the slack variables obtained by the DEA are used to improve efficiency values of ineffective days in months of buildings. Moreover, the total factor productivity (TFP) with technical efficiency (EFFCH), technical progress (TECHCH), pure technical efficiency (PECH), scale efficiency (SECH) and the total factor productivity change (TFPCH) of the building is dynamically analyzed by the Malmquist index. Finally, the static and dynamic energy consumption analysis and saving method is used to improve the energy efficiency of the building. Furthermore, when the technical progress by 1%, the total factor productivity change of the building can be improved by 1.042%.