2013
DOI: 10.1002/aic.14292
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Multiobjective design of interplant trigeneration systems

Abstract: A systematic approach for heat integration into an eco‐industrial park through an integrated trigeneration system is presented. The approach is based on a new superstructure formulated as a multiobjective mixed‐integer nonlinear programming model, where intraplant and interplant heat exchange for the process streams is allowed, in addition to the energy integration into the utility system that is constituted by a steam Rankine cycle (to produce electric power and hot utility), an organic Rankine cycle (to reco… Show more

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Cited by 30 publications
(16 citation statements)
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“…More recently, Hipolito-Valencia et al (2014) proposed an optimization for the design of interplant trigeneration systems where they evaluate the social impact of their best solution (minimizing cost and greenhouse gas emissions). The social function determines the creation of jobs for the production of the biofuels, fossil fuels, and for the operation of the solar collector to satisfy the energy requirements in the system.…”
Section: Societal/managerial Objectivesmentioning
confidence: 99%
“…More recently, Hipolito-Valencia et al (2014) proposed an optimization for the design of interplant trigeneration systems where they evaluate the social impact of their best solution (minimizing cost and greenhouse gas emissions). The social function determines the creation of jobs for the production of the biofuels, fossil fuels, and for the operation of the solar collector to satisfy the energy requirements in the system.…”
Section: Societal/managerial Objectivesmentioning
confidence: 99%
“…Hipólito-Valencia et al [137] constructed a model for inter-plant trigeneration systems consisting of a steam Rankine cycle, an organic Rankine cycle and an adsorption refrigeration cycle. Adding a heat transfer to a material exchange, by transferring materials while still hot, has been studied with a MILP model to improve HENs [138] and in conjunction with utility systems to increase steam production [139].…”
Section: Heat and Powermentioning
confidence: 99%
“…A number of studies adopted a mixed-integer non-linear programming approach for modelling the tri-generation or poly-generation systems. These studies were performed by the authors in [78][79][80][81][82][83][84][85][86][87][88][89][90]. Chen et al [78] investigated the optimal design and operation of flexible poly-generation systems.…”
Section: Non-linear Programming (Nlp) and Mixed-integer Non-linear Prmentioning
confidence: 99%