119980 20240319081026.0 doi 10.1016/j.renene.2022.10.007 sideral 130597 ART-2022-130597 eng Naval, Natalia Universidad de Zaragoza (orcid)0000-0002-1968-6300 Comparative assessment of different solar tracking systems in the optimal management of PV-operated pumping stations 2022 Access copy available to the general public Unrestricted The 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. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 8.7 2022 ENERGY & FUELS 26 / 119 = 0.218 2022 Q1 T1 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY 13 / 46 = 0.283 2022 Q2 T1 1.815 2022 Renewable Energy, Sustainability and the Environment 2022 Q1 16.1 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Yusta, Jose M. Universidad de Zaragoza (orcid)0000-0003-3174-9703 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 200 (2022), 931-941 Renew. energy Renewable Energy 0960-1481 5890689 http://zaguan.unizar.es/record/119980/files/texto_completo.pdf Versión publicada 2465365 http://zaguan.unizar.es/record/119980/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:119980 articulos driver 2024-03-18-16:45:07 ARTICLE