Mathematical Modeling and Simulation Validation in Optimizing Multi-objective Energy Systems Performance

Mohammad Pazouki () and Ali Bozorgi-Amiri ()
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Mohammad Pazouki: University of Tehran
Ali Bozorgi-Amiri: University of Tehran

A chapter in Handbook of Smart Energy Systems, 2023, pp 873-894 from Springer

Abstract: Abstract This chapter aims to develop a decision framework for finding the best energy retrofit strategy for buildings, which are responsible for a considerable amount of energy consumption around the world. Building energy retrofit can be financially beneficial to the stakeholders and reduce the footprint of human life on the environment. The proposed framework includes essential economic and environmental criteria such as project profitability, maintenance costs, and the energy-saving obtained by renovating the inefficient facilities with better alternatives. The uncertainty of input data is taken into account to reduce the risk of investment and increase the project’s resiliency against possible changes in critical parameters. The framework is also used for a real academic building as a case study, which caused the building to experience a remarkable reduction in the total energy consumption. The framework of this chapter is a generalized model, which helps to get familiar with the process of developing similar frameworks for building energy retrofit analysis. It can also be extended according to the needs of the decision-maker and the circumstances of each project.

Keywords: Building energy efficiency; Retrofit; Simulation; Multi-objective optimization; Uncertainty (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_110

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DOI: 10.1007/978-3-030-97940-9_110

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