Application of improved grey relational projection method to evaluate sustainable building envelope performance

Buildings are energy gluttons. Improving thermal performance of building envelopes will reduce energy consumption in buildings. The development of advanced building envelope systems reducing energy losses is a critical research frontier. This study introduces a simple but reliable methodology for building envelope evaluation and optimization in the conceptual stage. An improved grey relational projection method is proposed to select the optimum building envelope alternative. A combination weighting method combining the subjective weighting method and the objective weighting method is adopted to calculate the weights of the factors and sub-factors. The relative projection values of the alternatives are calculated. And the optimum alternative is obtained. An example is given to demonstrate the proposed method. Finally the proposed method is verified. The results show that this method is simple and practical, and it has potential as a powerful tool in building envelope evaluation and optimization for building owners, manufacturers, designers, and evaluators.

[1]  Ching-Lai Hwang,et al.  Manufacturing plant location analysis by multiple attribute decision making: part II—multi-plant strategy and plant relocation , 1985 .

[2]  Jean-Marie Hauglustaine,et al.  Interactive tool aiding to optimise the building envelope during the sketch design , 2001 .

[3]  Maria Wall,et al.  Enhanced energy conservation in houses through high performance design , 2007 .

[4]  Nm Bouchlaghem,et al.  Optimising the design of building envelopes for thermal performance , 2000 .

[5]  Cunbao Ma,et al.  Evaluation of Telecommunication Network Operational Reliability Based on Gray Relation Projection Method , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[6]  José Luis Míguez,et al.  Use of grey relational analysis to assess and optimize small biomass boilers , 2006 .

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

[8]  Liwei Tian,et al.  Evaluation on energy and thermal performance for residential envelopes in hot summer and cold winter zone of China , 2009 .

[9]  N. B. Hutcheon,et al.  Building Science for a Cold Climate , 1984 .

[10]  Claude Bédard,et al.  Functional analysis of the preliminary building envelope design process , 1995 .

[11]  U. Çaydas,et al.  Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics , 2008 .

[12]  Ming-Jong Tsai,et al.  Multi-objective optimization of laser cutting for flash memory modules with special shapes using grey relational analysis , 2009 .

[13]  Hyerim Bae,et al.  Analytic hierarchy process to assess and optimize distribution network , 2008, Appl. Math. Comput..

[14]  Xu Xu,et al.  Evaluation of an Active Building Envelope window-system , 2008 .

[15]  Ruzhu Wang,et al.  A new approach to performance analysis of ejector refrigeration system using grey system theory , 2009 .

[16]  Michael Maher,et al.  Creative destruction: building toward sustainability , 2005 .

[17]  Milorad Bojić,et al.  The influence of envelope characteristics to the energy behaviour of high-rise residential buildings , 2002 .

[18]  Thomas L. Saaty,et al.  Marketing Applications of the Analytic Hierarchy Process , 1980 .

[19]  Zhu Wen-jie A Class of Algorithm of Optimal Combination Determining Weights , 2007 .

[20]  Changhai Peng,et al.  Thermoelectricity analogy method for computing the periodic heat transfer in external building envelopes , 2008 .

[21]  Thomas K. L. Tong,et al.  Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach , 2007 .

[22]  Xiao Jian-hua,et al.  An Optimal Weights Combination Method Considering both Subjective and Objective Weight Information , 2007 .

[23]  Edmundas Kazimieras Zavadskas,et al.  Evaluating the life cycle of a building: A multivariant and multiple criteria approach , 2008 .

[24]  K. Mui,et al.  Efficiency assessment of indoor environmental policy for air-conditioned offices in Hong Kong , 2009 .

[25]  Kun-Li Wen,et al.  Applying Grey Relational Analysis and Grey Decision-Making to evaluate the relationship between company attributes and its financial performance - A case study of venture capital enterprises in Taiwan , 2007, Decis. Support Syst..

[26]  Ö. Altan Dombaycı,et al.  Optimization of insulation thickness for external walls using different energy-sources , 2004 .

[27]  J. C. Lam,et al.  Energy performance of building envelopes in different climate zones in China , 2008 .

[28]  Ming Qi,et al.  Application of Grey Relation Projection Method in Evaluation of Regional Innovation Capability , 2008, 2008 International Conference on Information Management, Innovation Management and Industrial Engineering.

[29]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

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

[31]  Liwei Tian,et al.  Low-energy envelope design of residential building in hot summer and cold winter zone in China , 2008 .

[32]  Juan Manuel Campos Benítez,et al.  Using fuzzy number for measuring quality of service in the hotel industry , 2007 .

[33]  Claude Bédard,et al.  Knowledge-based system approach to building envelope design , 1989 .