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Information Journal Paper

Title

Exergy-economic-environment optimization of the waste-to-energy power plant using Multi-Objective Particle-Swarm Optimization (MOPSO)

Pages

  2733-2750

Abstract

 The present study brings together the bene ts of the results of Exergy, Exergoeconomic, and Exergoenvironmental analyses as well as optimization of a wasteto-energy power plant. First, Exergoeconomic balance for each stream was calculated. To validate the current simulations, the actual data from the Amsterdam Waste-to-energy power plant in working conditions were examined. Moreover, the behaviors of the in uential parameters in the objective functions were evaluated. In order to perform multi-objective optimization, Multi-Objective Particle-Swarm Optimization (MOPSO) algorithm was employed. To obtain the optimum operating conditions, 14 design parameters and 3 objective functions were taken into consideration, with the total cost rate, total Exergy e ciency of the cycle, and environmental impacts as the objective functions. Finally, the TOPSIS decision-making method determined the optimum-operating conditions. The results of Exergy analysis indicated that the most Exergy destruction belonged to the incinerator unit at 66%. Instead, the pumps contributed the least in this eld (approximately 1%). Under the in uence of the optimization process, the total Exergy e ciency of the power plant increased from 30. 89% to 38. 9% at the total cost of 5188. 05 USD/hour. A comparison of the obtained results from the optimization procedure revealed that introducing optimum working condition would cause an increase in the Exergy e ciency and a decrease in the Exergy destruction among the components.

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    APA: Copy

    Esmaeilion, F., AHMADI, A., & DASHTI, R.. (2021). Exergy-economic-environment optimization of the waste-to-energy power plant using Multi-Objective Particle-Swarm Optimization (MOPSO). SCIENTIA IRANICA, 28(5 (Transactions B: Mechanical engineering)), 2733-2750. SID. https://sid.ir/paper/973573/en

    Vancouver: Copy

    Esmaeilion F., AHMADI A., DASHTI R.. Exergy-economic-environment optimization of the waste-to-energy power plant using Multi-Objective Particle-Swarm Optimization (MOPSO). SCIENTIA IRANICA[Internet]. 2021;28(5 (Transactions B: Mechanical engineering)):2733-2750. Available from: https://sid.ir/paper/973573/en

    IEEE: Copy

    F. Esmaeilion, A. AHMADI, and R. DASHTI, “Exergy-economic-environment optimization of the waste-to-energy power plant using Multi-Objective Particle-Swarm Optimization (MOPSO),” SCIENTIA IRANICA, vol. 28, no. 5 (Transactions B: Mechanical engineering), pp. 2733–2750, 2021, [Online]. Available: https://sid.ir/paper/973573/en

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