Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design

摘要

Thermoeconomic analyses in thermal system design are always focused on the economic objective. However, knowledge of only the economic minimum may not be sufficient in the decision making process, Since solutions with a higher thermodynamic efficiency, in spite of small increases in total costs, may result In much more interesting designs due to changes in energy market prices or in energy policies. This paper Suggests how to perform a multi-objective optimization in order to find solutions that simultaneously satisfy Exergetic and economic objectives.