COMPUTATIONAL OPTIMIZATION METHODS FOR RENEWABLE AND SUSTAINABLE ENERGY SYSTEMS: A COMPREHENSIVE REVIEW

Abstract

Social and economic development depends on sustainable energy as one of the important inputs. The demand of energy has therefore risen drastically due to the generalization of agricultural, industrial, and domestic activities, particularly in the emergent nations. This has translated to fast acceleration in the amount of greenhouse gas emissions and the rise in fuel prices that are the primary driving factor behind the push to harness renewable energy sources more optimally, i.e., the energy that is produced by natural resource and also naturally replenished. Although the benefits of renewable energy are apparent, it also has significant demerits, including the lack of consistency in production, since a majority of the renewable energy sources are climate-dependent, and that is why their utilization needs sophisticated design, planning, and optimization of control strategies. Fortunately, with the ever growing developments in computer hardware and software’s, researchers are getting access to these optimization problems through the use of computational resources, which is illustrated by the fact that there are many optimization methods that have been implemented in the renewable and sustainable energy sector. The paper provides an analysis of the latest state of the art in numerical optimization procedures used in renewable and sustainable energy, which can help to see the recent research developments in this area.