Scientia Iranica

Scientia Iranica

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

Document Type : Research Note

Authors
F. Esmaeilion
A. Ahmadi
R. Dashti
Department of Energy Systems Engineering, School of Advanced Technologies, Iran University of Science and Technology (IUST), Tehran, P.O. Box 16846-13114, Iran
10.24200/sci.2021.55633.4323
Abstract
This paper brings together the benefits of the results of exergy, exergoeconomic, exergoenvironmental analysis, and ‎optimization for a waste-to-energy (WTE) power plant. Initially, exergoeconomic balances for each stream were ‎calculated. For validating the current simulations, the actual data of the Amsterdam WTE power plant in working ‎conditions were examined. Moreover, the behaviors of the influential parameters on the objective functions were ‎evaluated. In order to perform multi-objective optimization, the Multi-Objective Particle-Swarm Optimization‎ ‎‎(MOPSO) algorithm is implemented. To obtain optimum operating conditions, 14 design parameters, and 3 ‎objective functions are considered, while the total cost rate, total exergy efficiency of the cycle, and environmental ‎impacts are the objective functions. Finally, the TOPSIS decision-making method determined 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 field, (approximately 1%). Because of the optimization ‎process, the total exergy efficiency of the power plant increased from 30.89% to 38.9% while the total cost rate was ‎‎5188.05 USD/hour. By comparison between the obtained results from the optimization procedure, introducing ‎optimum working conditions has caused an increase in exergy efficiency and reduced exergy destruction for ‎components.
Keywords
Exergy
MOPSO
Exergoenvironmental
Exergoeconomic
Waste-to-energy

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Scientia Iranica
Volume 28, Issue 5
Transactions on Mechanical Engineering (B)
September and October 2021
Pages 2733-2750

  • Receive Date 11 March 2020
  • Revise Date 06 November 2020
  • Accept Date 01 February 2021