IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5635-d879610.html
   My bibliography  Save this article

Sustainability Analysis and Scenarios in Groundwater Pumping Systems: A Case Study for Tenerife Island to 2030

Author

Listed:
  • Daniella Rodríguez-Urrego

    (Departamento de Ingeniería Industrial, Escuela Superior de Ingeniería y Tecnología, Universidad de La Laguna (ULL), Camino San Francisco de Paula S/N, 38206 La Laguna, Santa Cruz de Tenerife, Spain)

  • Leonardo Rodríguez-Urrego

    (INDEVOS Research Group, Universidad EAN, Carrera 11 78-47, Bogotá 110221, Colombia)

  • Benjamín González-Díaz

    (Departamento de Ingeniería Industrial, Escuela Superior de Ingeniería y Tecnología, Universidad de La Laguna (ULL), Camino San Francisco de Paula S/N, 38206 La Laguna, Santa Cruz de Tenerife, Spain)

  • Ricardo Guerrero-Lemus

    (Departamento de Física, Universidad de La Laguna (ULL), Avenida Astrofísico Francisco Sánchez S/N, 38206 La Laguna, Santa Cruz de Tenerife, Spain)

Abstract

Groundwater pumping systems using photovoltaic (PV) energy are increasingly being implemented around the world and, to a greater extent, in rural and electrically isolated areas. Over time, the cost of these systems has decreased, providing greater accessibility to freshwater in areas far from urban centers and power grids. This paper proposes a novel sustainability analysis of the groundwater pumping systems in Tenerife Island as an example of a medium-size isolated system, analyzing the current status and the business-as-usual projection to 2030, considering the water reservoirs available and the final use of water. The 2030 projection focused on the PV deployment, evaluation of the levelized cost of electricity ( LCOE ), and the availability of the groundwater resource. HOMER software was used to analyze the LCOE , and ArcGIS software was used for the visual modeling of water resources. As a result, the average LCOE for a purely PV installation supplying electricity to a pumping system in Tenerife is 0.2430 €/kWh, but the location and characteristic of each pumping system directly affect the performance and costs, mostly due to the solar availability.

Suggested Citation

  • Daniella Rodríguez-Urrego & Leonardo Rodríguez-Urrego & Benjamín González-Díaz & Ricardo Guerrero-Lemus, 2022. "Sustainability Analysis and Scenarios in Groundwater Pumping Systems: A Case Study for Tenerife Island to 2030," Energies, MDPI, vol. 15(15), pages 1-19, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5635-:d:879610
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5635/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/15/5635/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pérez, Juan C. & González, Albano & Díaz, Juan P. & Expósito, Francisco J. & Felipe, Jonatan, 2019. "Climate change impact on future photovoltaic resource potential in an orographically complex archipelago, the Canary Islands," Renewable Energy, Elsevier, vol. 133(C), pages 749-759.
    2. Cirés, E. & Marcos, J. & de la Parra, I. & García, M. & Marroyo, L., 2019. "The potential of forecasting in reducing the LCOE in PV plants under ramp-rate restrictions," Energy, Elsevier, vol. 188(C).
    3. Gupta, Eshita, 2019. "The impact of solar water pumps on energy-water-food nexus: Evidence from Rajasthan, India," Energy Policy, Elsevier, vol. 129(C), pages 598-609.
    4. Closas, Alvar & Rap, Edwin, 2017. "Solar-based groundwater pumping for irrigation: Sustainability, policies, and limitations," Energy Policy, Elsevier, vol. 104(C), pages 33-37.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kafle, Kashi & Balasubramanya, Soumya & Stifel, David, 2022. "Solar-powered irrigation in Nepal: Adoption and consequences for fossil fuel use," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322256, Agricultural and Applied Economics Association.
    2. Claudia Gutiérrez & Alba de la Vara & Juan Jesús González-Alemán & Miguel Ángel Gaertner, 2021. "Impact of Climate Change on Wind and Photovoltaic Energy Resources in the Canary Islands and Adjacent Regions," Sustainability, MDPI, vol. 13(8), pages 1-32, April.
    3. Mohammed Wazed, Saeed & Hughes, Ben Richard & O’Connor, Dominic & Kaiser Calautit, John, 2018. "A review of sustainable solar irrigation systems for Sub-Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1206-1225.
    4. Rubio-Aliaga, Alvaro & García-Cascales, M. Socorro & Sánchez-Lozano, Juan Miguel & Molina-Garcia, Angel, 2021. "MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example," Renewable Energy, Elsevier, vol. 163(C), pages 213-224.
    5. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    6. Miguel Ángel Pardo & Héctor Fernández & Antonio Jodar-Abellan, 2020. "Converting a Water Pressurized Network in a Small Town into a Solar Power Water System," Energies, MDPI, vol. 13(15), pages 1-26, August.
    7. Gonzalez-Moreno, A. & Marcos, J. & de la Parra, I. & Marroyo, L., 2022. "A PV ramp-rate control strategy to extend battery lifespan using forecasting," Applied Energy, Elsevier, vol. 323(C).
    8. Elham Alzain & Shaha Al-Otaibi & Theyazn H. H. Aldhyani & Ali Saleh Alshebami & Mohammed Amin Almaiah & Mukti E. Jadhav, 2023. "Revolutionizing Solar Power Production with Artificial Intelligence: A Sustainable Predictive Model," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    9. Tazi, Nacef & Safaei, Fatemeh & Hnaien, Faicel, 2022. "Assessment of the levelized cost of energy using a stochastic model," Energy, Elsevier, vol. 238(PB).
    10. Rahman, Syed Mahbubur & Mori, Akihisa & Rahman, Syed Mustafizur, 2022. "How does climate adaptation co-benefits help scale-up solar-powered irrigation? A case of the Barind Tract, Bangladesh," Renewable Energy, Elsevier, vol. 182(C), pages 1039-1048.
    11. Elshurafa, Amro M. & Alatawi, Hatem & Hasanov, Fakhri J. & Algahtani, Goblan J. & Felder, Frank A., 2022. "Cost, emission, and macroeconomic implications of diesel displacement in the Saudi agricultural sector: Options and policy insights," Energy Policy, Elsevier, vol. 168(C).
    12. Stéphanie LEYRONAS & Aurélien Dumont (COSTEA), & Olivier Petit (CLERSÉ, université d’Artois), & Quentin Ballin (AFD),, 2021. "Agir en commun pour un usage durable de l’eau agricole," Working Paper 02545eec-73a8-41ac-a8da-e, Agence française de développement.
    13. Ghanim, Marrwa S. & Farhan, Ammar A., 2023. "Projected patterns of climate change impact on photovoltaic energy potential: A case study of Iraq," Renewable Energy, Elsevier, vol. 204(C), pages 338-346.
    14. Zia R. Tahir & Ammara Kanwal & Muhammad Asim & M. Bilal & Muhammad Abdullah & Sabeena Saleem & M. A. Mujtaba & Ibham Veza & Mohamed Mousa & M. A. Kalam, 2022. "Effect of Temperature and Wind Speed on Efficiency of Five Photovoltaic Module Technologies for Different Climatic Zones," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    15. Lappalainen, Kari & Wang, Guang C. & Kleissl, Jan, 2020. "Estimation of the largest expected photovoltaic power ramp rates," Applied Energy, Elsevier, vol. 278(C).
    16. Liu, Zhengguang & Guo, Zhiling & Song, Chenchen & Du, Ying & Chen, Qi & Chen, Yuntian & Zhang, Haoran, 2023. "Business model comparison of slum-based PV to realize low-cost and flexible power generation in city-level," Applied Energy, Elsevier, vol. 344(C).
    17. Aditi Mukherji, 2022. "Sustainable Groundwater Management in India Needs a Water‐Energy‐Food Nexus Approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 394-410, March.
    18. Nihit Goyal, 2021. "Limited Demand or Unreliable Supply? A Bibliometric Review and Computational Text Analysis of Research on Energy Policy in India," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    19. Chen, Xiaoyang & Du, Yang & Lim, Enggee & Wen, Huiqing & Yan, Ke & Kirtley, James, 2020. "Power ramp-rates of utility-scale PV systems under passing clouds: Module-level emulation with cloud shadow modeling," Applied Energy, Elsevier, vol. 268(C).
    20. Suomalainen, Kiti & Wen, Le & Sheng, Mingyue Selena & Sharp, Basil, 2022. "Climate change impact on the cost of decarbonisation in a hydro-based power system," Energy, Elsevier, vol. 246(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5635-:d:879610. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.