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A bi-objective optimization approach for selection of passive energy alternatives in retrofit projects under cost uncertainty

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能源与人工环境(英文) 2020年第1期1卷 77-86页

作者： Farhad Amiri Fard Fuzhan Nasiri Department of Building Civil and Environmental EngineeringConcordia UniversityMontrealQCCanada

Improving energy performance of buildings is of particular importance in new construction and existing *** refurbishment is considered a practical pathway towards energy efficiency as the replacement of older buildings is at a slow *** are various ways of incorporating energy conservation measures in buildings through refurbishment *** such,we have to choose among various passive or active *** this study,we develop an integrated assessment model to direct energy management decisions in retrofit *** focus will be on alternative passive measures that can be included in refurbishment projects to reduce overall energy consumption in *** identify the relative priority of these alternatives with respect to their non-monetary(qualitative)benefits and issues using an analytic network ***,the above priorities will form a utility function that will be optimized along with the energy demand and retrofit costs using a multi-objective optimization *** also explore various approaches to formulate the uncertainties that may arise in cost estimations and incorporate them into the optimization *** applicability and authenticity of the proposed model is demonstrated through an illustrative case study *** results reveal that the choice of the optimization approach for a retrofit project shall be done with respect to the extent of variations(uncertainties)in expected utilities(benefits)and costs for the alternative passive technologies.

关键词： construction technologies Passive energy measures Building retrofit Multi-Objective Optimization Cost uncertainty Fuzzy set theory

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