000060409 001__ 60409
000060409 005__ 20200221144306.0
000060409 0247_ $$2doi$$a10.1016/j.enconman.2016.01.057
000060409 0248_ $$2sideral$$a93649
000060409 037__ $$aART-2016-93649
000060409 041__ $$aeng
000060409 100__ $$0(orcid)0000-0002-1490-6423$$aDufo-López, R.$$uUniversidad de Zaragoza
000060409 245__ $$aOptimisation of energy supply at off-grid healthcare facilities using Monte Carlo simulation
000060409 260__ $$c2016
000060409 5060_ $$aAccess copy available to the general public$$fUnrestricted
000060409 5203_ $$aIn this paper, we present a methodology for the optimisation of off-grid hybrid systems (photovoltaic-diesel-battery systems). A stochastic approach is developed by means of Monte Carlo simulation to consider the uncertainties of irradiation and load. The optimisation is economic; that is, we look for a system with a lower net present cost including installation, replacement of the components, operation and maintenance, etc. The most important variable that must be estimated is the batteries lifespan, which depends on the operating conditions (charge/discharge cycles, corrosion, state of charge, etc.). Previous works used classical methods for the estimation of batteries lifespan, which can be too optimistic in many cases, obtaining a net present cost of the system much lower than in reality. In this work, we include an advanced weighted Ah-throughput model for the lead-acid batteries, which is much more realistic. The optimisation methodology presented in this paper is applied in the optimisation of the electrical supply for an off-grid hospital located in Kalonge (Democratic Republic of the Congo). At the moment, the power supply relies on a diesel generator; batteries are used in order to ensure the basic supply of energy when the generator is unavailable (night hours). The optimisation includes the possibility of adding solar photovoltaic (PV) panels to improve the supply of electrical energy. The results show that optimal design could achieve a 28% reduction in the levelised cost of energy and a 54% reduction in the diesel fuel used in the generator, thereby reducing pollution. Furthermore, we discuss possible improvements to the telecommunications of the hospital.
000060409 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000060409 590__ $$a5.589$$b2016
000060409 591__ $$aENERGY & FUELS$$b10 / 92 = 0.109$$c2016$$dQ1$$eT1
000060409 591__ $$aTHERMODYNAMICS$$b2 / 58 = 0.034$$c2016$$dQ1$$eT1
000060409 591__ $$aMECHANICS$$b4 / 133 = 0.03$$c2016$$dQ1$$eT1
000060409 592__ $$a2.232$$b2016
000060409 593__ $$aEnergy Engineering and Power Technology$$c2016$$dQ1
000060409 593__ $$aRenewable Energy, Sustainability and the Environment$$c2016$$dQ1
000060409 593__ $$aNuclear Energy and Engineering$$c2016$$dQ1
000060409 593__ $$aFuel Technology$$c2016$$dQ1
000060409 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000060409 700__ $$aPérez-Cebollada, E.
000060409 700__ $$0(orcid)0000-0003-2813-1240$$aBernal-Agustín, J.L.$$uUniversidad de Zaragoza
000060409 700__ $$0(orcid)0000-0002-2887-2105$$aMartínez-Ruiz, I.$$uUniversidad de Zaragoza
000060409 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000060409 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000060409 773__ $$g113 (2016), 321-330$$pEnergy convers. manag.$$tEnergy Conversion and Management$$x0196-8904
000060409 8564_ $$s1526178$$uhttps://zaguan.unizar.es/record/60409/files/texto_completo.pdf$$yPostprint
000060409 8564_ $$s86339$$uhttps://zaguan.unizar.es/record/60409/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000060409 909CO $$ooai:zaguan.unizar.es:60409$$particulos$$pdriver
000060409 951__ $$a2020-02-21-13:35:02
000060409 980__ $$aARTICLE