A multi-objective optimization model for energy-efficiency building envelope retrofitting plan with rooftop PV system installation and maintenance. (1st March 2017)

• Record Type: Journal Article
• Authors: Fan, Yuling; Xia, Xiaohua
• Is Part Of: Applied energy. Volume 189(2017)
• Page Start: 327
• Page End: 335
• Publication Date: 2017-03-01
• Subjects: Building envelope retrofit -- Multi-objective optimization -- Rooftop PV system -- Economic analysis; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2016.12.077
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A multi-objective optimization model for building envelope retrofit is presented. Facility performance degradation and maintenance is built into the model. A rooftop PV system is introduced to produce electricity. Economic factors including net present value and payback period are considered. Abstract: Retrofitting existing buildings with energy-efficient facilities is an effective method to improve their energy efficiency, especially for old buildings. A multi-objective optimization model for building envelope retrofitting is presented. Envelope components including windows, external walls and roofs are considered to be retrofitted. Installation of a rooftop solar panel system is also taken into consideration in this study. Rooftop solar panels are modeled with their degradation and a maintenance scheme is studied for sustainability of energy and its long-term effect on the retrofitting plan. The purpose is to make the best use of financial investment to maximize energy savings and economic benefits. In particular, net present value, the payback period and energy savings are taken as the main performance indicators of the retrofitting plan. The multi-objective optimization problem is formulated as a non-linear integer programming problem and solved by a weighted sum method. Results of applying the designed retrofitting plan to a 50-year-old building consisting of 66 apartments demonstrated the effectiveness of the proposed model.