Resumen: This paper shows, for the rst time, the optimisation of the electrical supply in o -grid systems by means of hybrid renewable systems (photovoltaic + wind + battery + fossil fuel) including thermoelectric generator (which source of heat is the exhaust gas of a stove used for cooking or heating).
The objective is to minimise the net present cost. An advanced battery model and the accurate calculation of the net present cost (including all the costs during the system lifetime) are considered in the optimisation of this kind of systems. The standard simpli ed model of the thermoelectric generator is used, as more complex models cannot be used in an optimisation framework, where hundreds or thousands of di erent cases must be simulated (each combination of components must be simulated at least during one year, in 1-min steps). The optimization is carried out e ciently by means of genetic algorithms.
The method has been applied in the optimisation of two cases of low consumption o -grid households (Cambodia and Norway). Thermoelectric generator (costing €8/W) is part of the optimal solution in the case of Norway. In Cambodia, to be part of the optimal system, acquisition cost of the thermoelectric generator should be reduced by 25%. Idioma: Inglés DOI: 10.1016/j.enconman.2019.06.057 Año: 2019 Publicado en: ENERGY CONVERSION AND MANAGEMENT 196 (2019), 1051-1067 ISSN: 0196-8904 Factor impacto JCR: 8.208 (2019) Categ. JCR: ENERGY & FUELS rank: 11 / 112 = 0.098 (2019) - Q1 - T1 Categ. JCR: THERMODYNAMICS rank: 2 / 61 = 0.033 (2019) - Q1 - T1 Categ. JCR: MECHANICS rank: 3 / 136 = 0.022 (2019) - Q1 - T1 Factor impacto SCIMAGO: 2.924 - Energy Engineering and Power Technology (Q1) - Renewable Energy, Sustainability and the Environment (Q1) - Nuclear Energy and Engineering (Q1) - Fuel Technology (Q1)