TECHNICAL PAPERS
Dec 9, 2010

Multihierarchical Gray Evaluation Method to Assess Building Energy Conservation

Publication: Journal of Energy Engineering
Volume 137, Issue 2

Abstract

The building sector is one of the fastest growing in terms of energy consumption. To guarantee energy savings and to reduce carbon dioxide (CO2) emissions, building energy conservation assessment is an important option. A building energy conservation assessment will strongly promote development of the building’s thermal characteristics and application of new energy conservation technologies and products. Because of the unquantifiable and incomplete information of evaluation criteria, a multihierarchical gray evaluation methodology is proposed for building energy conservation assessment. To determine the weights of the factors, a linear combination weighting method combining an analytic hierarchical process (AHP) method and the technique for order preference by similarity to ideal solution (TOPSIS) method is proposed. The integrated assessment results and the integrated assessment values are calculated, and a building energy conservation star is proposed and determined. Then, an example is used to illustrate the proposed approach and the proposed method is validated. The results demonstrate the engineering practicability and effectiveness of this proposed method.

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Acknowledgments

This research has been supported by the Youth Teacher Scientific Research Foundation of North China Electric Power University (Grant No. UNSPECIFIED200811010) and the Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education, China.

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Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 137Issue 2June 2011
Pages: 88 - 98

History

Received: May 19, 2009
Accepted: Dec 7, 2010
Published online: Dec 9, 2010
Published in print: Jun 1, 2011

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Authors

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Guozhong Zheng [email protected]
School of Energy and Power Engineering, North China Electric Power Univ., Mailbox 62, Baoding 071003, Hebei, China (corresponding author). E-mail: [email protected]
Youyin Jing [email protected]
School of Energy and Power Engineering, North China Electric Power Univ., Mailbox 62, Baoding 071003, China. E-mail: [email protected]
Hongxia Huang [email protected]
School of Electric and Electronic Engineering, North China Electric Power Univ., Mailbox 10, Baoding 071003, China. E-mail: [email protected]
Xutao Zhang [email protected]
School of Energy and Power Engineering, North China Electric Power Univ., Mailbox 62, Baoding 071003, China. E-mail: [email protected]

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