2021
DOI: 10.1016/j.enconman.2020.113581
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Design and multi-criteria optimisation of a trigeneration district energy system based on gas turbine, Kalina, and ejector cycles: Exergoeconomic and exergoenvironmental evaluation

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Cited by 77 publications
(11 citation statements)
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“…50 or for energy integrated systems as in Ref. 63. However, the effect of different weight coefficients is examined for S4 (see Table 5) and a negligible effect is noted on the optimization results.…”
Section: Resultsmentioning
confidence: 99%
“…50 or for energy integrated systems as in Ref. 63. However, the effect of different weight coefficients is examined for S4 (see Table 5) and a negligible effect is noted on the optimization results.…”
Section: Resultsmentioning
confidence: 99%
“…29,52 Multiobjective optimization is a typical optimization method which can be applied in searching for the optimal solutions to satisfy several conflicting objectives at the same time. [53][54][55] In this section, NSGA-II method is used to find the Pareto frontier (series of optimal points) with three conflicting objectives being the system exergy efficiency, the freshwater production, and the total cost per unit exergy of the entire system. The system exergy efficiency represents the thermodynamic performance of the system, the freshwater production represents the capacity of water supply, and the…”
Section: Optimizationmentioning
confidence: 99%
“…An ejector refrigeration cycle is used to provide some coldness by recovering the lost heat of a regenerative gas turbine cycle. The optimal values of the system's primary energy ratio, exergy efficiency, exergoeconomic criterion, and exergoenvironmental criterion are 76.9%, 30.8%, 58.4$ GJ −1 , and 42.7 kg GJ −1 , respectively, based on the multi‐objective optimization 11 …”
Section: Introductionmentioning
confidence: 99%
“…The optimal values of the system's primary energy ratio, exergy efficiency, exergoeconomic criterion, and exergoenvironmental criterion are 76.9%, 30.8%, 58.4$ GJ À1 , and 42.7 kg GJ À1 , respectively, based on the multi-objective optimization. 11 In the present study, detailed 4E analyses have comprehensively investigated the proposed systems' performance in different aspects.…”
mentioning
confidence: 99%