IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p1-d1008527.html
   My bibliography  Save this article

Photovoltaic Electrification and Water Pumping Using the Concepts of Water Shortage Probability and Loss of Power Supply Probability: A Case Study

Author

Listed:
  • Misagh Irandoostshahrestani

    (Industrial Research Group in Technologies of Energy and Energy Efficiency (t3e), École de Technologie Supérieure (ÉTS), University of Quebec, Montreal, QC H3C 1K3, Canada)

  • Daniel R. Rousse

    (Industrial Research Group in Technologies of Energy and Energy Efficiency (t3e), École de Technologie Supérieure (ÉTS), University of Quebec, Montreal, QC H3C 1K3, Canada)

Abstract

In this paper, a techno-economic investigation of a small-scale solar water pumping system combined with power generation is conducted numerically. Irrigation and power production for a typical small-size citrus farm located in southern Iran is simulated. The system consists of monocrystalline photovoltaic panels (CS3K-305MS, 305 W), absorbent glass material batteries (8A31DT-DEKA, 104 Wh), inverters (SMA Sunny Boy 2.0, 2000 W), and a pumping storage system. The key concepts of water shortage probability (WSP) and loss of power supply probability (LPSP) are used in conjunction with users’ tolerances and sizing of the system. A genuine MATLAB code was developed and validated before the simulations. A specific electricity consumption pattern for a rural home and a variable irrigation water profile were considered. The main objective of the study is to size a system that provides both electricity for domestic use of a home as well as the energy required for running the irrigation pumps with respect to investment cost, LCOE, WSP, and LPSP. The main findings of the research are that LPSP and WSP threshold tolerances can have a preponderant effect on the cost and sizing of the system. Interestingly, results reveal that there is a minimum variation of the capital expenditure (CAPEX) versus the number of PV panels. For the optimal configuration, the study indicates that shifting from an LPSP of 0% to 3% (or about ten days of potential yearly shortage) makes the LCOE drop by about 55%, while the WSP decreases by about 36%.

Suggested Citation

  • Misagh Irandoostshahrestani & Daniel R. Rousse, 2022. "Photovoltaic Electrification and Water Pumping Using the Concepts of Water Shortage Probability and Loss of Power Supply Probability: A Case Study," Energies, MDPI, vol. 16(1), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:1-:d:1008527
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/1/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/1/1/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Parvaresh Rizi, Atefeh & Ashrafzadeh, Afshin & Ramezani, Azita, 2019. "A financial comparative study of solar and regular irrigation pumps: Case studies in eastern and southern Iran," Renewable Energy, Elsevier, vol. 138(C), pages 1096-1103.
    2. Besarati, Saeb M. & Padilla, Ricardo Vasquez & Goswami, D. Yogi & Stefanakos, Elias, 2013. "The potential of harnessing solar radiation in Iran: Generating solar maps and viability study of PV power plants," Renewable Energy, Elsevier, vol. 53(C), pages 193-199.
    3. Numbi, B.P. & Malinga, S.J., 2017. "Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa," Applied Energy, Elsevier, vol. 186(P1), pages 28-45.
    4. Ibrahim, Ibrahim Anwar & Khatib, Tamer & Mohamed, Azah, 2017. "Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models," Energy, Elsevier, vol. 126(C), pages 392-403.
    5. Muhammad Saydal Khan & Ali Tahir & Imtiaz Alam & Sohail Razzaq & Muhammad Usman & Wajahat Ullah Khan Tareen & Nauman Anwar Baig & Salman Atif & Mehwish Riaz, 2021. "Assessment of Solar Photovoltaic Water Pumping of WASA Tube Wells for Irrigation in Quetta Valley Aquifer," Energies, MDPI, vol. 14(20), pages 1-14, October.
    6. Komiyama, Ryoichi & Fujii, Yasumasa, 2014. "Assessment of massive integration of photovoltaic system considering rechargeable battery in Japan with high time-resolution optimal power generation mix model," Energy Policy, Elsevier, vol. 66(C), pages 73-89.
    7. Komiyama, Ryoichi & Fujii, Yasumasa, 2015. "Long-term scenario analysis of nuclear energy and variable renewables in Japan's power generation mix considering flexible power resources," Energy Policy, Elsevier, vol. 83(C), pages 169-184.
    8. Li, Yanxue & Gao, Weijun & Ruan, Yingjun & Ushifusa, Yoshiaki, 2018. "The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan," Energy, Elsevier, vol. 164(C), pages 811-821.
    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. Gyanwali, Khem & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Representing hydropower in the dynamic power sector model and assessing clean energy deployment in the power generation mix of Nepal," Energy, Elsevier, vol. 202(C).
    2. Yanxue Li & Weijun Gao & Yingjun Ruan & Yoshiaki Ushifusa, 2018. "Grid Load Shifting and Performance Assessments of Residential Efficient Energy Technologies, a Case Study in Japan," Sustainability, MDPI, vol. 10(7), pages 1-19, June.
    3. Li, Yanxue & Gao, Weijun & Ruan, Yingjun & Ushifusa, Yoshiaki, 2018. "The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan," Energy, Elsevier, vol. 164(C), pages 811-821.
    4. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
    5. Komiyama, Ryoichi & Fujii, Yasumasa, 2017. "Assessment of post-Fukushima renewable energy policy in Japan's nation-wide power grid," Energy Policy, Elsevier, vol. 101(C), pages 594-611.
    6. Li, Yanxue & Gao, Weijun & Ruan, Yingjun, 2018. "Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan," Renewable Energy, Elsevier, vol. 127(C), pages 514-523.
    7. Otsuki, Takashi & Mohd Isa, Aishah Binti & Samuelson, Ralph D., 2016. "Electric power grid interconnections in Northeast Asia: A quantitative analysis of opportunities and challenges," Energy Policy, Elsevier, vol. 89(C), pages 311-329.
    8. Mariz B. Arias & Sungwoo Bae, 2020. "Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System," Energies, MDPI, vol. 13(9), pages 1-14, April.
    9. Zhang, Yusheng & Ma, Chao & Yang, Yang & Pang, Xiulan & Lian, Jijian & Wang, Xin, 2022. "Capacity configuration and economic evaluation of a power system integrating hydropower, solar, and wind," Energy, Elsevier, vol. 259(C).
    10. Tamer Khatib & Dhiaa Halboot Muhsen, 2020. "Optimal Sizing of Standalone Photovoltaic System Using Improved Performance Model and Optimization Algorithm," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    11. Mostafa Rezaei & Ali Mostafaeipour & Mojtaba Qolipour & Hamid-Reza Arabnia, 2018. "Hydrogen production using wind energy from sea water: A case study on Southern and Northern coasts of Iran," Energy & Environment, , vol. 29(3), pages 333-357, May.
    12. Hossein Heirani & Naser Bagheri Moghaddam & Sina Labbafi & Seyedali Sina, 2022. "A Business Model for Developing Distributed Photovoltaic Systems in Iran," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    13. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    14. Shinichi Taniguchi, 2020. "Examining the causality structures of electricity interchange and variable renewable energy: a comparison between Japan and Denmark," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 159-191, February.
    15. Alberto-Jesus Perea-Moreno & Quetzalcoatl Hernandez-Escobedo & Javier Garrido & Joel Donaldo Verdugo-Diaz, 2018. "Stand-Alone Photovoltaic System Assessment in Warmer Urban Areas in Mexico," Energies, MDPI, vol. 11(2), pages 1-13, January.
    16. Noorollahi, Younes & Ghenaatpisheh Senani, Ali & Fadaei, Ahmad & Simaee, Mobina & Moltames, Rahim, 2022. "A framework for GIS-based site selection and technical potential evaluation of PV solar farm using Fuzzy-Boolean logic and AHP multi-criteria decision-making approach," Renewable Energy, Elsevier, vol. 186(C), pages 89-104.
    17. Chen, Xiaoyuan & Jiang, Shan & Chen, Yu & Lei, Yi & Zhang, Donghui & Zhang, Mingshun & Gou, Huayu & Shen, Boyang, 2022. "A 10 MW class data center with ultra-dense high-efficiency energy distribution: Design and economic evaluation of superconducting DC busbar networks," Energy, Elsevier, vol. 250(C).
    18. Alberto Bocca & Luca Bergamasco & Matteo Fasano & Lorenzo Bottaccioli & Eliodoro Chiavazzo & Alberto Macii & Pietro Asinari, 2018. "Multiple-Regression Method for Fast Estimation of Solar Irradiation and Photovoltaic Energy Potentials over Europe and Africa," Energies, MDPI, vol. 11(12), pages 1-17, December.
    19. Shabbir, Noman & Usman, Muhammad & Jawad, Muhammad & Zafar, Muhammad H. & Iqbal, Muhammad N. & Kütt, Lauri, 2020. "Economic analysis and impact on national grid by domestic photovoltaic system installations in Pakistan," Renewable Energy, Elsevier, vol. 153(C), pages 509-521.
    20. Sarhan, Ameen & Hizam, Hashim & Mariun, Norman & Ya'acob, M.E., 2019. "An improved numerical optimization algorithm for sizing and configuration of standalone photo-voltaic system components in Yemen," Renewable Energy, Elsevier, vol. 134(C), pages 1434-1446.

    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:16:y:2022:i:1:p:1-:d:1008527. 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.