000109096 001__ 109096
000109096 005__ 20230519145341.0
000109096 0247_ $$2doi$$a10.1016/j.jclepro.2021.128386
000109096 0248_ $$2sideral$$a125302
000109096 037__ $$aART-2021-125302
000109096 041__ $$aeng
000109096 100__ $$0(orcid)0000-0002-1968-6300$$aNaval, Natalia$$uUniversidad de Zaragoza
000109096 245__ $$aOptimal short-term water-energy dispatch for pumping stations with grid-connected photovoltaic self-generation
000109096 260__ $$c2021
000109096 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109096 5203_ $$aIncreases in the energy costs of irrigation water pumping facilities puts the economic sustainability of recent investments in the modernization of farms at risk. To address this problem, it is essential to apply renewable technologies for the production of electricity, and photovoltaic energy is particularly attractive due to its lower cost and recent technological advances. The aim of this research is to develop a mathematical techno-economic dispatch model that optimizes the hourly schedule of pumping equipment subject to electrical and hydraulic constraints to minimize the weekly operating costs of a real pumping station. The resulting model is formulated as a mixed-integer nonlinear programming problem that determines the optimal hourly combination of pumping equipment and available resources to meet water and energy needs. The proposed model comprises fixed and variable speed pumps, a grid-connected photovoltaic plant, and two water ponds for internal regulation and storage. The results verify that the combination of self-consumption photovoltaic facilities and variable speed drives make it possible to maximize the percentage of self-consumed energy up to 99.41% during the month with the highest demand for water. In this case, the pumping station reduces its energy costs by 21.56%, in addition to improving water management.
000109096 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000109096 590__ $$a11.072$$b2021
000109096 592__ $$a1.921$$b2021
000109096 594__ $$a15.8$$b2021
000109096 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b5 / 47 = 0.106$$c2021$$dQ1$$eT1
000109096 593__ $$aEnvironmental Science (miscellaneous)$$c2021$$dQ1
000109096 591__ $$aENVIRONMENTAL SCIENCES$$b24 / 279 = 0.086$$c2021$$dQ1$$eT1
000109096 593__ $$aStrategy and Management$$c2021$$dQ1
000109096 591__ $$aENGINEERING, ENVIRONMENTAL$$b9 / 55 = 0.164$$c2021$$dQ1$$eT1
000109096 593__ $$aIndustrial and Manufacturing Engineering$$c2021$$dQ1
000109096 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000109096 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, Jose M.$$uUniversidad de Zaragoza
000109096 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000109096 773__ $$g316 (2021), 128386 [11 pp.]$$pJ. clean. prod.$$tJournal of Cleaner Production$$x0959-6526
000109096 8564_ $$s4320845$$uhttps://zaguan.unizar.es/record/109096/files/texto_completo.pdf$$yVersión publicada
000109096 8564_ $$s2600938$$uhttps://zaguan.unizar.es/record/109096/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109096 909CO $$ooai:zaguan.unizar.es:109096$$particulos$$pdriver
000109096 951__ $$a2023-05-18-13:15:23
000109096 980__ $$aARTICLE