Determination of the Optimal Size of Photovoltaic Systems by Using Multi-Criteria Decision-Making Methods
Metadatos
Mostrar el registro completo del ítemAutor
Guerrero-Liquet, Guido C.; Oviedo-Casado, Santiago; Sánchez-Lozano, J. M.; García-Cascales, María Socorro; Prior, Javier; Urbina, AntonioEditorial
MDPI
Materia
Solar electricity Photovoltaic systems Distributed generation (DG) Multi-criteria decision making (MCDM) Analytic network process (ANP) Technique for order of preference by similarity to ideal solution (TOPSIS)
Fecha
2018-12-05Referencia bibliográfica
Guerrero-Liquet, G.C. [et al.]. Determination of the Optimal Size of Photovoltaic Systems by Using Multi-Criteria Decision-Making Methods. Sustainability 2018, 10, 4594.
Patrocinador
This research was done thanks to the financial support from MINECO (SPAIN), including FEDER funds: FIS2015-69512-R and ENE2016-79282-C5-5-R, and from Fundación Séneca (Murcia, Spain) Project No. 19882/GERM/15 and projects TIN2014-55024-P from MINECO (SPAIN) P11-TIC-8001 and TIN2017-86647-P from Junta de Andalucía (including FEDER funds) and project FIS2015-69512-R from MINECO (SPAIN) and a doctoral scholarship from MESCYT (Dominican Republic) with the contract No. BIM-434-2017, respectively.Resumen
The diverse socio-economic and environmental impacts related to the setup of a new
photovoltaic installation must be weighed carefully in order to reach the best possible solution.
Among the different photovoltaic systems, there are several classification criteria, depending on
the technology, application, and size of the modules that define them. The size (installed nominal
capacity) stands out as an impartial and critical measure in the decision-making process. In this article,
we use a multi-criteria decision-making method to analyze the responses of five experts to a detailed
questionnaire in which several different criteria are correlated with various photovoltaic installation
sizes. The limitation associated with a low number of experts is addressed with a robustness and
sensitivity analysis. With this study, we seek first to apply and demonstrate the feasibility of a
methodology that combines technical information with multi-criteria decision-making methods.
Second, we obtain a clear result that increases the benefits of a forthcoming photovoltaic installation
of modules in distributed generation, adding up to one GW total peak power in standard conditions.
We observe a consistent result in which smaller photovoltaic modules provide the ideal solution,
as this format maximizes the socio-economic benefits of any installation. If a decision has to be
taken about the type of photovoltaic plant to be installed, the conclusion is clear: given a certain
size, small, easily scalable installations are the best solution for stakeholders, the inhabitants, and
the environment.