Applying LCA and fuzzy AHP to evaluate building energy conservation

Reducing energy consumption and environment pollution is an important part in energy sustainability. Building energy conservation evaluation will drive the application of the new energy conservation technology. For building an energy conservation evaluation, energy conservation and environment impacts in all stages of the life cycle should be assessed. In this paper, the fuzzy analytic hierarchical process method and life-cycle assessment theory are adopted for building energy conservation evaluation. Factors in different hierarchies are weighted with linguistic variables by pair-wise comparisons, and factors in the lowest hierarchy within the different second hierarchy factors are also evaluated by linguistic variables. The membership degrees and integrated evaluation values are calculated. Then an example is studied to illustrate the proposed approach. The validity of the proposed method is verified and it demonstrates the effectiveness and practicability of the proposed approach. The results provide guidance in evaluating building energy conservation and determining the energy conservation grade of the building.

[1]  Lin Borong.  Beijing Olympic Construction and Evaluation System of Green Olympics , 2006 .

[2]  Ping Liu,et al.  Real Estate Investment Risk Analysis Based on Fuzzy AHP , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[3]  Su Wei.  The quantitative evaluation model for systematical energy efficiency of building , 2005 .

[4]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[5]  F. Chan,et al.  Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .

[6]  Harold Tufty.  Value Engineering Made Mandatory on EPA Projects Over $10,000,000 , 1976 .

[7]  David T. Bickley.  Probability Distribution of Maximum Sustained Load , 1974 .

[8]  Weimin Wang,et al.  Applying multi-objective genetic algorithms in green building design optimization , 2005 .

[9]  Patxi Hernandez,et al.  Development of energy performance benchmarks and building energy ratings for non-domestic buildings: An example for Irish primary schools , 2008 .

[10]  José María Sala,et al.  Application of thermoeconomics to the allocation of environmental loads in the life cycle assessment of cogeneration plants , 2003 .

[11]  Yuehong Su,et al.  Experimental and CFD study of ventilation flow rate of a Monodraught™ windcatcher , 2008 .

[12]  Maurizio Cellura,et al.  Building energy performance : A LCA case study of kenaf-fibres insulation board , 2008 .

[13]  A. P Arena,et al.  Life cycle assessment of energy and environmental implications of the implementation of conservation technologies in school buildings in Mendoza—Argentina , 2003 .

[14]  Bohui Pang,et al.  Multi-criteria Supplier Evaluation Using Fuzzy AHP , 2007, 2007 International Conference on Mechatronics and Automation.

[15]  M. Beccali,et al.  F.A.L.C.A.D.E.: a fuzzy software for the energy and environmental balances of products , 2004 .

[16]  T. Häkkinen.  Assessment of indicators for sustainable urban construction , 2007 .

[17]  S. Funtowicz,et al.  Information tools for environmental policy under conditions of complexity , 1999 .

[18]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[19]  David Lloyd Jones.  Architecture And The Environment: Bioclimatic Building Design , 1998 .

[20]  Ian Lowe,et al.  Shaping a sustainable future – an outline of the transition , 2008 .

[21]  Réjean Samson,et al.  Fuzzy Life Cycle Evaluation : A Tool to Interpret Qualitative Information in Streamlined LCA , 2006 .

[22]  DağdevirenMetin,et al.  Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008 .

[23]  Gregory A. Keoleian,et al.  Life cycle energy and environmental performance of a new university building: modeling challenges and design implications , 2003 .

[24]  Yasutaka Kainuma,et al.  Life Cycle Assessment Method Based on MUF , 2004 .

[25]  Sungho Tae,et al.  Development of a Life Cycle Assessment Program for building (SUSB-LCA) in South Korea , 2009 .

[26]  Zhang Xu,et al.  Inventory analysis of LCA on steel- and concrete-construction office buildings , 2008 .

[27]  Qian Xu,et al.  A multicriteria lifespan energy efficiency approach to intelligent building assessment , 2006 .

[28]  David I Blockley,et al.  HAZARD AND ENERGY IN RISKY DECISIONS , 1999 .

[29]  Hong Yao,et al.  A fuzzy‐analysis‐based method for measuring contractors' environmental performance , 2007 .

[30]  Hugo Hens,et al.  Life Cycle Optimization of Extremely Low Energy Dwellings , 2007 .

[31]  Ignacio Zabalza Bribián,et al.  Life cycle assessment in buildings: State-of-the-art and simplified LCA methodology as a complement for building certification , 2009 .

[32]  Giovanni Andrea Blengini,et al.  Life cycle of buildings, demolition and recycling potential: A case study in Turin, Italy , 2009 .

[33]  C. L. Page,et al.  Modelling of chloride ingress into concrete from a saline environment , 2005 .

[34]  Hugo Hens,et al.  Life cycle optimization of extremely low energy buildings , 2007 .

[35]  Oscar Ortiz,et al.  Sustainability in the construction industry: A review of recent developments based on LCA , 2009 .

[36]  Shang Hwa Hsu,et al.  A fuzzy CBR technique for generating product ideas , 2008, Expert Syst. Appl..

[37]  Raymond R. Tan,et al.  Application of symmetric fuzzy linear programming in life cycle assessment , 2005, Environ. Model. Softw..

[38]  E. Velasco,et al.  Building Energy Analysis (BEA): A methodology to assess building energy labelling , 2007 .

[39]  Wu Bing.  Fuzzy comprehensive evaluation for the quality of green building , 2006 .