2016
DOI: 10.1016/j.enconman.2015.12.083
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Multi-criteria exergy based optimization of an Organic Rankine Cycle for waste heat recovery in the cement industry

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Cited by 100 publications
(21 citation statements)
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“…Yang et al [14] analyzed a combined power and ejector-refrigeration cycle that the power production section is an organic Rankine cycle. Fergani et al [15] proposed an organic Rankine cycle for the waste heat recovery for a cogeneration system used in the cement industry. They analyzed a cogeneration system from the exergy, exergoeconomic and exergoenvironmental perspective.…”
Section: Introductionmentioning
confidence: 99%
“…Yang et al [14] analyzed a combined power and ejector-refrigeration cycle that the power production section is an organic Rankine cycle. Fergani et al [15] proposed an organic Rankine cycle for the waste heat recovery for a cogeneration system used in the cement industry. They analyzed a cogeneration system from the exergy, exergoeconomic and exergoenvironmental perspective.…”
Section: Introductionmentioning
confidence: 99%
“…Although studies on the thermodynamic and economical assessment of Organic Rankine cycle are wide spread in literature (Fergani, Touil, & Morosuk, 2016;Hassoun & Dincer, 2015;Lecompte, Huisseune, van den Broek, Vanslambrouck, & De Paepe, 2015;Yang & Yeh, 2015), knowledge on the environmental impact of this technology under a life cycle perspective for energy production is still very limited. Some studies address the greenhouse gas reduction of the Organic Rankine cycle using solid waste in the far east (Imran, Park, Kim, Lee, & Usman, 2015;Sedpho, Sampattagul, Chaiyat, & Gheewala, 2017;Sununta, Sedpho, Gheewala, & Sampattagul, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Most of investigations for ORC are focused on configuration optimization and single-optimization in ICEs waste heat recovery problems [5]- [7], [8]. However, several authors revealed that multi-objective optimization and multi-parameters solutions are advisable to achieve the best overall thermodynamic and economic performance for the subcritical ORC [9]- [12]. In order to fulfill optimization requirements, genetic algorithms (GA) have been extensively adopted for low grade waste heat recovery problems.…”
Section: Introductionmentioning
confidence: 99%