An urban energy performance evaluation system and its computer implementation. (15th December 2017)

• Record Type: Journal Article
• Authors: Wang, Lei; Yuan, Guan; Long, Ruyin; Chen, Hong
• Is Part Of: Journal of environmental management. Volume 204:Part 1(2017)
• Page Start: 684
• Page End: 694
• Publication Date: 2017-12-15
• Subjects: Evaluation and factor analysis model -- Evaluation system -- Microsoft Visual Studio -- Stochastic frontier analysis -- Urban energy performance; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2017.09.041
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: To improve the urban environment and effectively reflect and promote urban energy performance, an urban energy performance evaluation system was constructed, thereby strengthening urban environmental management capabilities. From the perspectives of internalization and externalization, a framework of evaluation indicators and key factors that determine urban energy performance and explore the reasons for differences in performance was proposed according to established theory and previous studies. Using the improved stochastic frontier analysis method, an urban energy performance evaluation and factor analysis model was built that brings performance evaluation and factor analysis into the same stage for study. According to data obtained for the Chinese provincial capitals from 2004 to 2013, the coefficients of the evaluation indicators and key factors were calculated by the urban energy performance evaluation and factor analysis model. These coefficients were then used to compile the program file. The urban energy performance evaluation system developed in this study was designed in three parts: a database, a distributed component server, and a human-machine interface. Its functions were designed as login, addition, edit, input, calculation, analysis, comparison, inquiry, and export. On the basis of these contents, an urban energy performance evaluation system was developed using Microsoft Visual Studio .NET 2015. The system can effectively reflect the status of and any changes in urban energy performance. Beijing was considered as an example to conduct an empirical study, which further verified the applicability and convenience of this evaluation system. Highlights: The urban energy performance evaluation indicators and key factors were proposed. Evaluation and factor analysis model was built by stochastic frontier analysis. The urban energy performance evaluation system was developed. The system could evaluate urban energy performance and explain its differences.