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Pre-feasibility of wind and solar systems for residential self-sufficiency in four urban locations of Colombia: Implication of new incentives included in Law 1715

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  • León-Vargas, Fabian
  • García-Jaramillo, Maira
  • Krejci, Edwing

Abstract

This paper analyses the implications of incentives included in Law 1715 for the pre-feasibility of a small-scale wind system and a solar photovoltaic (PV) system for energy self-sufficiency of an average household in four urban locations of Colombia. A meteorological station was implemented at the Universidad Antonio Nariño to obtain measurements including global solar radiation, wind speed and wind direction. For the wind system, a 3.5 kW small-scale wind turbine was considered, while for the solar PV system design, an average household consumption of 200 kW-hours per month and adverse effects from the PV cell temperature were taken into account.

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  • León-Vargas, Fabian & García-Jaramillo, Maira & Krejci, Edwing, 2019. "Pre-feasibility of wind and solar systems for residential self-sufficiency in four urban locations of Colombia: Implication of new incentives included in Law 1715," Renewable Energy, Elsevier, vol. 130(C), pages 1082-1091.
    • Handle: RePEc:eee:renene:v:130:y:2019:i:c:p:1082-1091
    DOI: 10.1016/j.renene.2018.06.087
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    Cited by:

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    4. Oscar Danilo Montoya & Luis Fernando Grisales-Noreña & Alberto-Jesus Perea-Moreno, 2021. "Optimal Investments in PV Sources for Grid-Connected Distribution Networks: An Application of the Discrete–Continuous Genetic Algorithm," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
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    6. Roselli, C. & Diglio, G. & Sasso, M. & Tariello, F., 2019. "A novel energy index to assess the impact of a solar PV-based ground source heat pump on the power grid," Renewable Energy, Elsevier, vol. 143(C), pages 488-500.
    7. Carlo Roselli & Maurizio Sasso & Francesco Tariello, 2020. "A Wind Electric-Driven Combined Heating, Cooling, and Electricity System for an Office Building in Two Italian Cities," Energies, MDPI, vol. 13(4), pages 1-25, February.
    8. Zhang, Chen & Li, Zhixin & Jiang, Haihua & Luo, Yongqiang & Xu, Shen, 2021. "Deep learning method for evaluating photovoltaic potential of urban land-use: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 283(C).

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