Applications of artificial intelligence in sustainable energy development and utilization

Abstract

Clean energy and the environment are considered as the most influential parameters to promote sustainable development. However, with the increase in the global population, the consumption of energy sources from the nonrenewable category is increasing rapidly. On the other hand, with the utilization of nonrenewable energy sources like petro-diesels, environmental air pollution is also increasing. To combat the energy and environmental crises, clean and renewable fuels like biofuels are popular as a petrodiesel replacement fuels. Biofuels can be obtained from different feedstocks, and they are successfully tested in diesel engines. However, during their production and engine testing, several parameters influence their output results. The accurate prediction of end results is considered a challenge with the traditional techniques. Therefore, artificial intelligence (AI) techniques emerged as the most successful in solving nonlinear problems and achieve a high success rate in prediction. In this chapter, different AI techniques that are successfully used in finding a feasible solution for complex problems in biodiesel production and engine testing are discussed in detail.