Optimum power performance of a new integrated SOFC-trigeneration system by multi-objective exergoeconomic optimization. (December 2015)

• Record Type: Journal Article
• Authors: Baghernejad, A.; Yaghoubi, M.; Jafarpur, K.
• Is Part Of: International journal of electrical power & energy systems. Volume 73(2015:Dec.)
• Page Start: 899
• Page End: 912
• Publication Date: 2015-12
• Subjects: Exergoeconomic -- Optimization -- Pareto optimal solution -- SOFC -- Trigeneration; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2015.06.017
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: We apply a multi-objective optimization for an integrated SOFC-trigeneration plant. An example of decision-making for finding a final optimal solution is introduced. Multi-objective optimization increases the exergy efficiency from 62.85% to 64.5%. The optimization process decreases the system unit cost of products about 14%. Comprehensive sensitivity analyses perform on the unit cost of products. Abstract: In the present study a comprehensive thermodynamic modeling and multi-objective exergoeconomic optimization of a new integrated SOFC-trigeneration system is carried out to determine the optimum decision parameters, accounting for exergetic, economic and environmental factors. Results of optimal designs are obtained as a set of multiple optimum solutions, called the Pareto optimal solutions. An example of decision-making is presented and a final optimal solution is introduced. Moreover, the optimized results are compared with the working data from a base case design of an actual system. This new approach shows that by selecting final optimum solution, the trigeneration unit cost of products reduced by 13.88% and exergy efficiency increased from 62.85% in the base case to 64.5% in the optimum case. Also, the optimization results demonstrate that fuel cost, exergy destruction cost and environmental impacts (CO2 emissions cost) are reduced by 17.54%, 17.05% and 18.22% respectively; although these are achieved with 8.03% increase in the capital investment cost. Finally, sensitivity analysis is carried out to examine the effect of changes in the Pareto optimal solutions to the system economic parameters.