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Multivariant design and multiple criteria analysis of building refurbishments
Affiliation:1. Department of Energy, Politecnico di Torino, Corso Duca degli Abbruzzi 24, Turin 10129, Italy;2. Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Turin, Viale Mattioli 39, Turin 10125, Italy;1. Department of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong;2. School of Civil and Building Engineering, Loughborough University, Loughborough, Leicestershire, LE11 3TU, United Kingdom;1. KTH Royal Institute of Technology, Department of Sustainable Development, Environmental Science and Engineering, Division of Environmental Strategies Research (fms), Stockholm, Sweden;2. University of Gävle, Department of Building, Energy and Environmental Engineering, Faculty of Engineering and Sustainable Development, Gävle, Sweden;1. Department of Architecture and the Built Environment, Division of Energy and Building Design, Lund University, 221 00 Lund, Sweden;2. NCC AB, 205 47 Malmö, Sweden
Abstract:In order to design and realize an efficient building refurbishment, it is necessary to carry out an exhaustive investigation of all solutions that form it. The efficiency level of the considered building's refurbishment depends on a great many of factors, including: cost of refurbishment, annual fuel economy after refurbishment, tentative pay-back time, harmfulness to health of the materials used, aesthetics, maintenance properties, functionality, comfort, sound insulation and longevity, etc. Solutions of an alternative character allow for a more rational and realistic assessment of economic, ecological, legislative, climatic, social and political conditions, traditions and for better the satisfaction of customer requirements. They also enable one to cut down on refurbishment costs. In carrying out the multivariant design and multiple criteria analysis of a building refurbishment much data was processed and evaluated. Feasible alternatives could be as many as 100,000. How to perform a multivariant design and multiple criteria analysis of alternate alternatives based on the enormous amount of information became the problem. Method of multivariant design and multiple criteria of a building refurbishment's analysis were developed by the authors to solve the above problems. In order to demonstrate the developed method, a practical example is presented in this paper.
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