dc.creatorPietrasanta, Ariana Milagros
dc.creatorMussati, Sergio Fabian
dc.creatorAguirre, Pio Antonio
dc.creatorMorosuk, Tatiana
dc.creatorMussati, Miguel Ceferino
dc.date.accessioned2022-03-15T11:11:35Z
dc.date.accessioned2022-10-15T06:31:29Z
dc.date.available2022-03-15T11:11:35Z
dc.date.available2022-10-15T06:31:29Z
dc.date.created2022-03-15T11:11:35Z
dc.date.issued2021-08
dc.identifierPietrasanta, Ariana Milagros; Mussati, Sergio Fabian; Aguirre, Pio Antonio; Morosuk, Tatiana; Mussati, Miguel Ceferino; Optimization of a multi-generation power, desalination, refrigeration and heating system; Pergamon-Elsevier Science Ltd; Energy; 238; 8-2021; 1-17
dc.identifier0360-5442
dc.identifierhttp://hdl.handle.net/11336/153389
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4355582
dc.description.abstractThe optimization of a multi-generation system which represents the integrated dual-purpose desalination plant and a low-scale absorption refrigeration system is addressed. A nonlinear mathematical programming optimization model that integrates a natural gas combined-cycle, a multi-effect distillation desalination plant, a series flow double-effect water-lithium bromide absorption refrigeration system, and a water heater, is developed based on first-principle models. The model is implemented in General Algebraic Modelling System and a generalized gradient-based optimization algorithm is used. Given design specifications for electricity generation (around 37 MW), freshwater production (100 kg/s), refrigeration capacity (2 MW), and thermal load for heating (around 0.7 MW of hot water), the integrated system is optimized by minimizing two objective functions by single-objective optimization: total heat transfer area and total annual cost. As a result, minimum total heat transfer area values of 39148 m2, 36002 m2, and 35161 m2 are obtained when 4, 5, and 6 distillation effects were considered in the multi-effect distillation system, respectively. Also, a minimum annual cost of around 24 MM$/yr. is obtained for 5 distillation effects. The influence of the number of effects in the multi-effect distillation subsystem on the optimal solutions is analyzed. Cost-effective optimal solutions are developed for the studied multi-generation system.
dc.languageeng
dc.publisherPergamon-Elsevier Science Ltd
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S036054422101985X
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.energy.2021.121737
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectABSORPTION REFRIGERATION SYSTEM
dc.subjectDUAL-PURPOSE DESALINATION
dc.subjectGAMS
dc.subjectMULTI-GENERATION
dc.subjectNONLINEAR PROGRAMMING NLP
dc.subjectOPTIMIZATION
dc.titleOptimization of a multi-generation power, desalination, refrigeration and heating system
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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