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Linking Energy Transition to Income Generation for Vulnerable Populations in Brazil: A Win-Win Strategy

Author

Listed:
  • Wesly Jean

    (Energy and Environment Laboratory, Mechanical Engineering Department, University of Brasilia, Brasilia 70910-900, Brazil)

  • Marcel Bursztyn

    (Center for Sustainable Development, University of Brasilia, Brasilia 70910-900, Brazil)

  • Nelson Bernal

    (Center for Sustainable Development, University of Brasilia, Brasilia 70910-900, Brazil)

  • Antonio C. P. Brasil Junior

    (Energy and Environment Laboratory, Mechanical Engineering Department, University of Brasilia, Brasilia 70910-900, Brazil)

  • Gabriela Litre

    (Center for Sustainable Development, University of Brasilia, Brasilia 70910-900, Brazil)

  • Daniela Nogueira

    (Center for Sustainable Development, University of Brasilia, Brasilia 70910-900, Brazil)

Abstract

This article presents the modeling of a solar photovoltaic system connected to the grid in rural low-income communities living in the semiarid region of Brazil. The model is based on the premise that enough electrical energy will be generated locally to meet the household demand for electricity and to produce a surplus that can be sold on the grid. The main idea is that the sun, usually associated with severe droughts in the Brazilian semiarid region, can be transformed into social income while fostering energy autonomy. To model the system, the computational tools Photovoltaic Software (PVSyst7.3.1) and System Advisor Model (SAM) were used. Several configurations (cases) of systems were analyzed and associated with the evaluation of three commercial electricity scenarios, considering the local electricity rate (USD/kWh). A case study was conducted in the rural settlement of Jacaré-Curituba in the Brazilian semiarid region, where different estimated sale prices for the energy surplus were compared with traditional monthly cash transfers to poor families from the social welfare program “ Bolsa Família ”. The results indicate the viability of this model as an income alternative for low-income communities.

Suggested Citation

  • Wesly Jean & Marcel Bursztyn & Nelson Bernal & Antonio C. P. Brasil Junior & Gabriela Litre & Daniela Nogueira, 2024. "Linking Energy Transition to Income Generation for Vulnerable Populations in Brazil: A Win-Win Strategy," Sustainability, MDPI, vol. 16(17), pages 1-18, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7527-:d:1467843
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    References listed on IDEAS

    as
    1. Lupangu, C. & Bansal, R.C., 2017. "A review of technical issues on the development of solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 950-965.
    2. Schuetze, Benjamin & Hussein, Hussam, 2023. "The geopolitical economy of an undermined energy transition: The case of Jordan," Energy Policy, Elsevier, vol. 180(C).
    3. Mohammad Al-Saidi & Nisreen Lahham, 2019. "Solar energy farming as a development innovation for vulnerable water basins," Development in Practice, Taylor & Francis Journals, vol. 29(5), pages 619-634, July.
    4. Butera, Federico Maria & Caputo, Paola & Adhikari, Rajendra Singh & Mele, Renata, 2019. "Energy access in informal settlements. Results of a wide on site survey in Rio De Janeiro," Energy Policy, Elsevier, vol. 134(C).
    5. Collier, Samuel H.C. & House, Jo I. & Connor, Peter M. & Harris, Richard, 2023. "Distributed local energy: Assessing the determinants of domestic-scale solar photovoltaic uptake at the local level across England and Wales," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
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