Chapter
Mar 29, 2018
Climate Effects in Data Envelopment Analysis for Residential Energy Performance Benchmarking: An Empirical Case Validation
Authors: Endong Wang, Ph.D. [email protected], Peng Mao, Ph.D., Min Chen, Ph.D., Xiaodong Zhang, Ph.D., and Lingzhi LiAuthor Affiliations
Publication: Construction Research Congress 2018
Abstract
Reinforced fault diagnosis to discover inefficiency sources on energy performance of residential systems is critical for taking targeted retrofitting measures to enhance the effectiveness of energy upgrading investments. Data-driven energy benchmarking through nonparametric data envelopment analysis (DEA) has been classically adopted to locate malfunctions of energy systems with its unique capability of isolating the effects of diverse factors to differentiate overall efficiency, scale efficiency, and management efficiency. Nevertheless, extant works tend to subjectively process climate effects which could result in errors during DEA. This paper provides an empirical case to examine the reliability of two candidate methods on handling climate factors in residential energy efficiency evaluation, including the normalization-based and the weighting-based approaches. By investigating the performance of 70 single-family homes within a 3-year dynamic context, the improved robustness of normalization-based DEA approach is observed with statistical testing. It shows that the overall relative low energy efficiency is mainly due to poor management. This research intends to benefit retrofitting managers to make solid decisions.
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© 2018 American Society of Civil Engineers.
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Published online: Mar 29, 2018
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Authors
Affiliations
Construction Management, College of Engineering and Computer Science, Univ. of Tennessee at Chattanooga, 615 McCallie Ave., Chattanooga, TN 37403. E-mail: [email protected]
Peng Mao, Ph.D.
Construction Management, College of Civil Engineering, Nanjing Forestry Univ., 159 Longpan Rd., Nanjing 210037, P.R. China.
Min Chen, Ph.D.
School of Civil and Architecture Engineering, Nantong Univ., 9 Seyuan Rd., Nantong 226019, P.R. China.
Xiaodong Zhang, Ph.D.
College of Civil Engineering, Chongqing Jiaotong Univ., 66 Xuefu Rd., Congqing 400074, P.R. China.
Lingzhi Li
Ph.D. Candidate, School of Civil Engineering, Southeast Univ., 2 Sipailou Rd., Nanjing 210096, P.R. China.
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