2013
DOI: 10.1007/s10098-013-0705-4
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Optimal design of cogeneration system based on exergoenvironmental analysis

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Cited by 14 publications
(4 citation statements)
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“…Several reviews of relevant publications on heat exchange synthesis and process integration have been published [35,36]. Recent studies have introduced an optimal design approach and multi-objective optimization methods of cogeneration systems based on exergo-economic and exergo-environmental parameters [37,38]. The goal of this study is to develop an approach to maximize energy efficiency of an industrial zone through waste heat recovery and reuse, via indirect heat integration.…”
Section: Liew Et Al Developed An Extended Methodology Tsmentioning
confidence: 99%
“…Several reviews of relevant publications on heat exchange synthesis and process integration have been published [35,36]. Recent studies have introduced an optimal design approach and multi-objective optimization methods of cogeneration systems based on exergo-economic and exergo-environmental parameters [37,38]. The goal of this study is to develop an approach to maximize energy efficiency of an industrial zone through waste heat recovery and reuse, via indirect heat integration.…”
Section: Liew Et Al Developed An Extended Methodology Tsmentioning
confidence: 99%
“…Ubando et al [46] proposed a fuzzy fractional mathematical programming model to design a trigeneration system with minimum carbon footprint. Navid et al [47] introduced a new procedure for the optimal design of utility system based on the R-curve concept and a new cogeneration targeting through estimating costs, environmental impacts, exergo-economic and exergo-environmental analyses. For industrial processes that require cooling above ambient temperature, re-circulating cooling water systems are used to provide such cold utility.…”
Section: Synthesis Of Energy and Utility Systemsmentioning
confidence: 99%
“…A computational model has been developed for the analysis which involves the determination of effect of generator temperature on various performance parameters, specifically exergy losses in the different components, cooling and heating COP, and the exergy efficiency. Navid et al (2014) developed a new method for the optimal design of utility system in process industries. This procedure was based on the introduction of the R-curve concept and a new cogeneration targeting through estimating costs, environmental impacts, exergoeconomic, and exergoenvironmental analyses.…”
Section: Introductionmentioning
confidence: 99%