Development and Application of Evaluation Index System and Model for Existing Building Green-Retrofitting

This paper establishes an evaluation index system for existing building green-retrofitting considering different building majors. The weights of indicators at different levels were determined by using decision-making analytic hierarchy process. According to fuzzy mathematics theory, indicators at different levels were taken into an evaluation factor set while three-star level, two-star level, one-star level and unqualified level were taken as the comment set to develop a fuzzy comprehensive evaluation model for the green retrofitting of existing buildings. Additionally, the evaluation system proposed by this paper and the national standard “Assessment standard for green building” GB/T 50378-2014 were used in the assessment of a certain office after green retrofitting as a case study. The case study indicates that the evaluation developed by this research are more applicable for green retrofitting of existing building, while the national standard “Assessment standard for green building” has limitations except for new building.

[1]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[2]  Peter Morris,et al.  The Economics of Green Retrofits , 2013 .

[3]  Edward Morofsky,et al.  A screening methodology for implementing cost effective energy retrofit measures in Canadian office , 2011 .

[4]  Sarel Lavy,et al.  A strategic integrated healthcare facility management model , 2007 .

[5]  Amos Darko,et al.  Promoting and implementing urban sustainability in China: An integration of sustainable initiatives at different urban scales , 2018, Habitat International.

[6]  Anne Grete Hestnes,et al.  Effective retrofitting scenarios for energy efficiency and comfort: results of the design and evaluation activities within the OFFICE project , 2002 .

[7]  Edmundas Kazimieras Zavadskas,et al.  Multivariant design and multiple criteria analysis of building refurbishments , 2005 .

[8]  Laurie Buys,et al.  Retrofitting Commercial Office Buildings for Sustainability: Tenants' Perspectives , 2008 .

[9]  Constantinos A. Balaras,et al.  XENIOS—a methodology for assessing refurbishment scenarios and the potential of application of RES and RUE in hotels , 2004 .

[10]  Ernest H. Forman,et al.  Group decision support with the Analytic Hierarchy Process , 1992, Decis. Support Syst..

[11]  Paul Cooper,et al.  Existing building retrofits: Methodology and state-of-the-art , 2012 .

[12]  D Caccavelli,et al.  TOBUS — a European diagnosis and decision-making tool for office building upgrading , 2002 .

[13]  Claude-Alain Roulet,et al.  Elaboration of retrofit scenarios , 2002 .

[14]  Teuku Meurah Indra Mahlia,et al.  Life cycle cost analysis and payback period of lighting retrofit at the University of Malaya , 2011 .

[15]  Simon Roberts,et al.  Altering existing buildings in the UK , 2008 .

[16]  Tao Yan,et al.  Research on social and humanistic needs in planning and construction of green buildings , 2014 .

[17]  Kari Alanne,et al.  Selection of renovation actions using multi-criteria “knapsack” model , 2004 .

[18]  Luca Evangelisti,et al.  Energy Retrofit Strategies for Residential Building Envelopes: An Italian Case Study of an Early-50s Building , 2015 .

[19]  Sara Wilkinson.  Analysing sustainable retrofit potential in premium office buildings , 2012 .

[20]  Neil Hewitt,et al.  Zero carbon buildings refurbishment--A Hierarchical pathway , 2011 .

[21]  Julian Di Stefano,et al.  Energy efficiency and the environment: the potential for energy efficient lighting to save energy and reduce carbon dioxide emissions at Melbourne University, Australia , 2000 .

[22]  John M. Quigley,et al.  PROGRAM ON HOUSING AND URBAN POLICY , 1904 .

[23]  Bostenaru Dan.  Multi-criteria decision model for retrofitting existing buildings , 2003 .

[24]  Bao-Jie He,et al.  Optimizing Building Envelope Dimensions for Passive Solar Houses in the Qinghai-Tibetan Region: Window to Wall Ratio and Depth of Sunspace , 2019, Journal of Thermal Science.

[25]  Igal M. Shohet,et al.  Decision support model for semi-automated selection of renovation alternatives , 1999 .