dc.creator | Pietrasanta, Ariana Milagros | |
dc.creator | Mussati, Sergio Fabian | |
dc.creator | Aguirre, Pio Antonio | |
dc.creator | Morosuk, Tatiana | |
dc.creator | Mussati, Miguel Ceferino | |
dc.date.accessioned | 2022-03-15T11:11:35Z | |
dc.date.accessioned | 2022-10-15T06:31:29Z | |
dc.date.available | 2022-03-15T11:11:35Z | |
dc.date.available | 2022-10-15T06:31:29Z | |
dc.date.created | 2022-03-15T11:11:35Z | |
dc.date.issued | 2021-08 | |
dc.identifier | Pietrasanta, 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.identifier | 0360-5442 | |
dc.identifier | http://hdl.handle.net/11336/153389 | |
dc.identifier | CONICET Digital | |
dc.identifier | CONICET | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4355582 | |
dc.description.abstract | The 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.language | eng | |
dc.publisher | Pergamon-Elsevier Science Ltd | |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S036054422101985X | |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.energy.2021.121737 | |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | ABSORPTION REFRIGERATION SYSTEM | |
dc.subject | DUAL-PURPOSE DESALINATION | |
dc.subject | GAMS | |
dc.subject | MULTI-GENERATION | |
dc.subject | NONLINEAR PROGRAMMING NLP | |
dc.subject | OPTIMIZATION | |
dc.title | Optimization of a multi-generation power, desalination, refrigeration and heating system | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:ar-repo/semantics/artículo | |
dc.type | info:eu-repo/semantics/publishedVersion | |