Multi-objective programming model for energy conservation and renewable energy structure of a low carbon campus

Abstract School campus energy conservation design covers a wide range of contents; it is a complex control system and involves limited resource allocation. The purpose of this study is to formulate a decision model for energy conservation and renewable energy for campuses, by employing multi-objective linear programming (MOLP) and fuzzy two-stage algorithm to reduce CO 2 emissions. An empirical study was conducted using the campus of Chaoyang University of Technology as an example. Through a fuzzy two-stage algorithm, the non-inferior solution of a set of low carbon campus energy conservation design was obtained.

[1]  Ching-Lai Hwang,et al.  Mathematical programming with multiple objectives: A tutorial , 1980, Comput. Oper. Res..

[2]  Jeff Tollefson Countries with highest CO2-emitting power sectors (tonnes per year) , 2007, Nature.

[3]  Ibrahim Dincer,et al.  Renewable energy options for buildings: Case studies , 2011 .

[4]  Graham Ault,et al.  Multi-objective planning of distributed energy resources: A review of the state-of-the-art , 2010 .

[5]  David J. Sailor,et al.  Development and application of a building energy performance metric for green roof systems , 2013 .

[6]  José L. Bernal-Agustín,et al.  Multi-objective design of PV–wind–diesel–hydrogen–battery systems , 2008 .

[7]  Jeff Tollefson Panel negotiates climate 'synthesis report' , 2007, Nature.

[8]  José L. Bernal-Agustín,et al.  Simulation and optimization of stand-alone hybrid renewable energy systems , 2009 .

[9]  Nain H. Afgan,et al.  Sustainability assessment of a hybrid energy system , 2008 .

[10]  W. T. Tsai Current status and development policies on renewable energy technology research in Taiwan , 2004 .

[11]  Xiaohua Xia,et al.  A multiple objective optimisation model for building energy efficiency investment decision , 2013 .

[12]  G. C. Bakos,et al.  Technoeconomic assessment of a hybrid solar/wind installation for electrical energy saving , 2003 .

[13]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[14]  Evangelos Grigoroudis,et al.  Towards a multi-objective optimization approach for improving energy efficiency in buildings , 2008 .

[15]  George J.Y. Hsu,et al.  Integrated planning for mitigating CO2 emissions in Taiwan: a multi-objective programming approach , 2000 .

[16]  Yeng-Horng Perng,et al.  The effect of renewable energy application on Taiwan buildings: What are the challenges and strategies for solar energy exploitation? , 2013 .

[17]  Zhou Tian-jun Multi-objective decision in energy structure optimizing of China , 2006 .