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Heat Transfer Research
Impact-faktor: 0.404 5-jähriger Impact-Faktor: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Druckformat: 1064-2285
ISSN Online: 2162-6561

Volumes:
Volumen 51, 2020 Volumen 50, 2019 Volumen 49, 2018 Volumen 48, 2017 Volumen 47, 2016 Volumen 46, 2015 Volumen 45, 2014 Volumen 44, 2013 Volumen 43, 2012 Volumen 42, 2011 Volumen 41, 2010 Volumen 40, 2009 Volumen 39, 2008 Volumen 38, 2007 Volumen 37, 2006 Volumen 36, 2005 Volumen 35, 2004 Volumen 34, 2003 Volumen 33, 2002 Volumen 32, 2001 Volumen 31, 2000 Volumen 30, 1999 Volumen 29, 1998 Volumen 28, 1997

Heat Transfer Research

DOI: 10.1615/HeatTransRes.2015010744
pages 259-275

COMPREHENSIVE EVALUATION OF POWER SUPPLY SYSTEMS FOR COMMERCIAL BUILDINGS BASED ON GRAY RELATIONAL ANALYSIS AND ANALYTIC HIERARCHY PROCESS

Qingqing Yong
Department of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China; Department of Electric Engineering, Shanghai Dianji Univeristy, Shanghai, 200120, China
mo yang
university of shanghai for science and technology
W. Lu
Department of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
J. Chen
Department of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

ABSTRAKT

This study establishes a scientific, reasonable, and feasible comprehensive evaluation system for green building's power supply system design and implementation to achieve optimization of their thermal, environmental, and economic performance. Unlike traditional evaluation methods that use single index such as economic performance or exergy efficiency for the criterion, the proposed evaluation method takes annual revenue, exergy efficiency, CO2 emission, and system reliability as indices. This advanced comprehensive evaluation method is based on a combination of the method of the gray relational analysis (GRA) and the analytic hierarchy process (AHP) to assess the multiobjective performance of building's power supply systems. The method is applied to compare four kinds of the power supply system of a hospital to determine the optimal system. The result shows that the system which combines cooling, heating, and power supply systems (CCHP) adding solar photovoltaic (PV) panels has the best comprehensive performance when the capacitance of solar PV panels is large enough.


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