Version 1
: Received: 16 September 2021 / Approved: 17 September 2021 / Online: 17 September 2021 (12:29:01 CEST)
How to cite:
Rodríguez-Martínez, Á.; Rodríguez-Monroy, C. Economic Modelling for Self-consumption of Roof-Top Photovoltaic Systems in Spain. Preprints2021, 2021090313. https://doi.org/10.20944/preprints202109.0313.v1
Rodríguez-Martínez, Á.; Rodríguez-Monroy, C. Economic Modelling for Self-consumption of Roof-Top Photovoltaic Systems in Spain. Preprints 2021, 2021090313. https://doi.org/10.20944/preprints202109.0313.v1
Rodríguez-Martínez, Á.; Rodríguez-Monroy, C. Economic Modelling for Self-consumption of Roof-Top Photovoltaic Systems in Spain. Preprints2021, 2021090313. https://doi.org/10.20944/preprints202109.0313.v1
APA Style
Rodríguez-Martínez, Á., & Rodríguez-Monroy, C. (2021). Economic Modelling for Self-consumption of Roof-Top Photovoltaic Systems in Spain. Preprints. https://doi.org/10.20944/preprints202109.0313.v1
Chicago/Turabian Style
Rodríguez-Martínez, Á. and Carlos Rodríguez-Monroy. 2021 "Economic Modelling for Self-consumption of Roof-Top Photovoltaic Systems in Spain" Preprints. https://doi.org/10.20944/preprints202109.0313.v1
Abstract
This article has been developed to assess the economic feasibility of a roof-top photovoltaic installation of industrial self-consumption. Numerical models that enable an interested person to obtain the main expected parameters will be generated. To do this, a calculation methodology will be generated through which the reader, knowing the location of the facility and dimensions of the roof, will be able to calculate the maximum installable power, the main parameters related to production, the cost of the installation, and the LCOE of the plant. The use of actual costs will be facilitated in case they are known, but it will remain possible to apply the costs of the major equipment (modules, inverter, and structure) considered throughout the article. This developed calculation methodology will also allow a quick comparison of the forecasts of production, CAPEX, and LCOE of plants designed with different inclinations and different types of modules. Consequently, it will be especially useful for decision-making before developing the plant's basic engineering. Moreover, the calculations used for modeling the LCOE will be analyzed in depth. This analysis will allow evaluating how the different technical variables affect the profitability of a photovoltaic installation, such as the selected tilt, the location, the module's technology, or the available area.
Keywords
sustainability; solar energy; photovoltaic energy; renewable energy; self-consumption; rooftop pv
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
