Energy efficiency measures in existing buildings by a multiple-objective optimization with a solar panel system using Marine Predators Optimization Algorithm

Abstract

To enhance the energy effectiveness of old buildings, retrofitting strategies are an efficient technique. The objective here is to apply a multiple-criteria optimization method to retrofit the building envelope. In this respect, a new metaheuristic algorithm, called Marine Predators Optimization Algorithm (MPOA) is used in this paper. The components that are investigated to be retrofitted are including roofs, windows, and outer walls. A photovoltaic system is considered to be employed on the rooftop. The degradation duration of the solar panels is studied. Also, for renewable energy development and its long-lasting impact on the retrofitting scheme, a maintenance design is considered. The optimum utilization of the financial investment for the maximization of energy savings and economic-related advantages are the main targets. Specifically, the major operation indicators of the retrofitting scheme are energy savings, payback period, and net present worth. A weighted sum technique is applied to solve the non-linear problem. The efficiency of the suggested model is a result of the designed retrofitting plan.