RT Journal Article
T1 A methodology for designing electrification programs for remote areas
A1 León Caballero, Javier
A1 Martín Campo, Francisco Javier
A1 Ortuño Sánchez, María Teresa
A1 Vitoriano Villanueva, Begoña
A1 Carrasco, Luis Miguel
A1 Narvarte, Luis
AB One of the UN Sustainable Development Goals is the supply of sustainable energy even where no electrical grid is available. The photovoltaic rural electrification programs are the most common systems implemented in remote areas, especially in developing countries. These programs include the systems installation and their maintenance for a given period. Installation costs and even spare parts costs over time are usually well estimated. However, design and cost estimation of the maintenance systems is a difficult task, whose wrong management has often resulted in the failure of these electrification programs. In this work, a methodology for designing maintenance systemsand estimating costs is presented. The methodology includes a mixed integer linear programming model and a rule based expert system. The mathematical programming model allows obtaining the optimal size and accurate cost estimation of a maintenance system, based on precise information about the installed systems. This model is calibrated and validated with real running programs and will be used to get an enlarged data set of simulated cases if needed. The rule based expert system is obtained from the data set applying classification and regression methods with general information about the region and program to be run. It can be used for designing programs or for companies making decisions about being involved in a program to be developed. The methodology has been applied to real Morocco programs.
PB Springer
SN 1435-246X
YR 2019
FD 2019-09-21
LK https://hdl.handle.net/20.500.14352/12454
UL https://hdl.handle.net/20.500.14352/12454
LA eng
NO León, J., Martín-Campo, F.J., Ortuño, M.T., Vitoriano, B., Carrasco, L.M., Narvarte, L.: A methodology for designing electrification programs for remote areas. Cent Eur J Oper Res. 28, 1265-1290 (2020). https://doi.org/10.1007/s10100-019-00649-6
NO European Commission
NO Ministerio de Economía, Comercio y Empresa (España)
NO Comunidad de Madrid
NO Universidad Complutense de Madrid/Banco de Santander
NO Banco de Santander
DS Docta Complutense
RD 9 may 2025