000119980 001__ 119980
000119980 005__ 20240319081026.0
000119980 0247_ $$2doi$$a10.1016/j.renene.2022.10.007
000119980 0248_ $$2sideral$$a130597
000119980 037__ $$aART-2022-130597
000119980 041__ $$aeng
000119980 100__ $$0(orcid)0000-0002-1968-6300$$aNaval, Natalia$$uUniversidad de Zaragoza
000119980 245__ $$aComparative assessment of different solar tracking systems in the optimal management of PV-operated pumping stations
000119980 260__ $$c2022
000119980 5060_ $$aAccess copy available to the general public$$fUnrestricted
000119980 5203_ $$aThe integration of photovoltaic energy in pumping systems is complex, and the technical constraints of hydraulic and pumping systems must be considered. Exploitation models that link energy management with water management are necessary to ensure the profitability of these investments. This research proposes the design and application of a mathematical model for optimal hourly operation of pumping equipment at the minimum cost for a pumping station with different configurations of self-consumption photovoltaic generation for one week, subsequently extended to an entire year. The proposed optimization problem is formulated as a mixed-integer nonlinear model. Findings of this paper indicate that a self-consumption photovoltaic plant with single-axis solar tracking can increase production by 33.4% and reduce operating costs by 28.9% compared to a fixed system. Therefore, more energy is self-consumed (81.6%), and a more efficient pumping operation is achieved. The use of a two-axis tracker improves photovoltaic production by 3.2% with economic savings of 4.8% compared to a single-axis tracker, but this difference is small considering its higher investment costs and technical complexity. As a result, the single-axis solar tracker is generally used in pumping stations to achieve efficient management and reduced operating costs.
000119980 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000119980 590__ $$a8.7$$b2022
000119980 592__ $$a1.815$$b2022
000119980 591__ $$aENERGY & FUELS$$b26 / 119 = 0.218$$c2022$$dQ1$$eT1
000119980 593__ $$aRenewable Energy, Sustainability and the Environment$$c2022$$dQ1
000119980 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b13 / 46 = 0.283$$c2022$$dQ2$$eT1
000119980 594__ $$a16.1$$b2022
000119980 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000119980 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, Jose M.$$uUniversidad de Zaragoza
000119980 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000119980 773__ $$g200 (2022), 931-941$$pRenew. energy$$tRenewable Energy$$x0960-1481
000119980 8564_ $$s5890689$$uhttps://zaguan.unizar.es/record/119980/files/texto_completo.pdf$$yVersión publicada
000119980 8564_ $$s2465365$$uhttps://zaguan.unizar.es/record/119980/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000119980 909CO $$ooai:zaguan.unizar.es:119980$$particulos$$pdriver
000119980 951__ $$a2024-03-18-16:45:07
000119980 980__ $$aARTICLE