000094591 001__ 94591
000094591 005__ 20210902121741.0
000094591 0247_ $$2doi$$a10.3390/en13112900
000094591 0248_ $$2sideral$$a118652
000094591 037__ $$aART-2020-118652
000094591 041__ $$aeng
000094591 100__ $$0(orcid)0000-0002-1968-6300$$aNaval, Natalia
000094591 245__ $$aWater-energy management for demand charges and energy cost optimization of a pumping stations system under a renewable virtual power plant model
000094591 260__ $$c2020
000094591 5060_ $$aAccess copy available to the general public$$fUnrestricted
000094591 5203_ $$aThe effects of climate change seriously affect agriculture at different latitudes of the planet because periods of drought are intensifying and the availability of water for agricultural irrigation is reducing. In addition, the energy cost associated with pumping water has increased notably in recent years due to, among other reasons, the maximum demand charges that are applied annually according to the contracted demand in each facility. Therefore, very efficient management of both water resources and energy resources is required. This article proposes the integration of water-energy management in a virtual power plant (VPP) model for the optimization of energy costs and maximum demand charges. For the development of the model, a problem related to the optimal operation of electricity generation and demand resources arises, which is formulated as a nonlinear mixed-integer programming model (MINLP). The objective is to maximize the annual operating profit of the VPP. It is worth mentioning that the model is applied to a large irrigation system using real data on consumption and power generation, exclusively renewable. In addition, different scenarios are analyzed to evaluate the variability of the operating profit of the VPP with and without intraday demand management as well as the influence of the wholesale electricity market price on the model. In view of the results obtained, the model that integrates the management of the water-energy binomial increases the self-consumption of renewable energy and saves electricity supply costs.
000094591 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000094591 590__ $$a3.004$$b2020
000094591 591__ $$aENERGY & FUELS$$b70 / 114 = 0.614$$c2020$$dQ3$$eT2
000094591 592__ $$a0.597$$b2020
000094591 593__ $$aControl and Optimization$$c2020$$dQ2
000094591 593__ $$aElectrical and Electronic Engineering$$c2020$$dQ2
000094591 593__ $$aRenewable Energy, Sustainability and the Environment$$c2020$$dQ2
000094591 593__ $$aEnergy Engineering and Power Technology$$c2020$$dQ2
000094591 593__ $$aFuel Technology$$c2020$$dQ2
000094591 593__ $$aEnergy (miscellaneous)$$c2020$$dQ2
000094591 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000094591 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, José M.$$uUniversidad de Zaragoza
000094591 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000094591 773__ $$g13, 11 (2020), 2900 [21 pp.]$$pENERGIES$$tEnergies$$x1996-1073
000094591 8564_ $$s2250248$$uhttps://zaguan.unizar.es/record/94591/files/texto_completo.pdf$$yVersión publicada
000094591 8564_ $$s476690$$uhttps://zaguan.unizar.es/record/94591/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000094591 909CO $$ooai:zaguan.unizar.es:94591$$particulos$$pdriver
000094591 951__ $$a2021-09-02-09:42:31
000094591 980__ $$aARTICLE