IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p6011-d1111990.html
   My bibliography  Save this article

Design and Development of a Symbiotic Agrivoltaic System for the Coexistence of Sustainable Solar Electricity Generation and Agriculture

Author

Listed:
  • Chung-Feng Jeffrey Kuo

    (Department of Materials Science and Engineering, National Taiwan University of Science and Engineering, Taipei 10617, Taiwan)

  • Te-Li Su

    (Yunlin Branch, Taiwan Textile Research Institute, Yunlin County 64057, Taiwan)

  • Chao-Yang Huang

    (Green Energy & Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310401, Taiwan)

  • Han-Chang Liu

    (Green Energy & Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310401, Taiwan)

  • Jagadish Barman

    (Department of Materials Science and Engineering, National Taiwan University of Science and Engineering, Taipei 10617, Taiwan)

  • Indira Kar

    (Department of Materials Science and Engineering, National Taiwan University of Science and Engineering, Taipei 10617, Taiwan)

Abstract

The symbiotic photovoltaic (PV) electrofarming system introduced in this study is developed for the PV setup in an agriculture farming land. The study discusses the effect of different PV system design conditions influenced by annual sunhours on agricultural farm land. The aim is to increase the sunhours on the PV panel for optimized electricity generation. Therefore, this study combines the Taguchi method with Grey Relational Analysis (GRA) to optimize the two quality characteristics of the symbiotic electrofarming PV system with the best design parameter combination. The selected multiple quality characteristics are PV power generation and sunhours on farm land. The control factors include location, upright column height, module tilt angle, and PV panel width. First, the Taguchi method is used to populate a L9(3 4 ) orthogonal array with the settings of the experimental plan. After the experimental results are obtained, signal-to-noise ratios are calculated, factor response tables and response graphs are drawn up, and analysis of variance is performed to obtain those significant factors which have great impact on the quality characteristics. The experiments show that the parameters which effects power generation are: location, upright column height, module tilt angle, and PV panel width. The ranking of the degree of influence of the control factors on the quality characteristics is location > PV panel width > module tilt angle > upright column height. By controlling these factors, the quality characteristics of the system can be effectively estimated. The results for PV power generation and sunhours on farm land both fall within the 95% CI (confidence interval), which shows that they are reliable and reproducible. The optimal design parameter realized in this research obtains a power generation of 26,497 kWh and a sunshine time of 1963 h. The finding showed that it can help to build a sustainable PV system combined with agriculture cultivation.

Suggested Citation

  • Chung-Feng Jeffrey Kuo & Te-Li Su & Chao-Yang Huang & Han-Chang Liu & Jagadish Barman & Indira Kar, 2023. "Design and Development of a Symbiotic Agrivoltaic System for the Coexistence of Sustainable Solar Electricity Generation and Agriculture," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6011-:d:1111990
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/6011/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/7/6011/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Changsheng & Wang, Haiyu & Miao, Hong & Ye, Bin, 2017. "The economic and social performance of integrated photovoltaic and agricultural greenhouses systems: Case study in China," Applied Energy, Elsevier, vol. 190(C), pages 204-212.
    2. Nonhebel, Sanderine, 2005. "Renewable energy and food supply: will there be enough land?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(2), pages 191-201, April.
    3. Dinesh, Harshavardhan & Pearce, Joshua M., 2016. "The potential of agrivoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 299-308.
    4. Elahi, Ehsan & Khalid, Zainab & Tauni, Muhammad Zubair & Zhang, Hongxia & Lirong, Xing, 2022. "Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan," Technovation, Elsevier, vol. 117(C).
    5. Valle, B. & Simonneau, T. & Sourd, F. & Pechier, P. & Hamard, P. & Frisson, T. & Ryckewaert, M. & Christophe, A., 2017. "Increasing the total productivity of a land by combining mobile photovoltaic panels and food crops," Applied Energy, Elsevier, vol. 206(C), pages 1495-1507.
    6. Bae, Sangmu & Nam, Yujin, 2022. "Feasibility analysis for an integrated system using photovoltaic-thermal and ground source heat pump based on real-scale experiment," Renewable Energy, Elsevier, vol. 185(C), pages 1152-1166.
    7. Cossu, Marco & Murgia, Lelia & Ledda, Luigi & Deligios, Paola A. & Sirigu, Antonella & Chessa, Francesco & Pazzona, Antonio, 2014. "Solar radiation distribution inside a greenhouse with south-oriented photovoltaic roofs and effects on crop productivity," Applied Energy, Elsevier, vol. 133(C), pages 89-100.
    8. Qoaider, Louy & Steinbrecht, Dieter, 2010. "Photovoltaic systems: A cost competitive option to supply energy to off-grid agricultural communities in arid regions," Applied Energy, Elsevier, vol. 87(2), pages 427-435, February.
    9. Trommsdorff, Max & Kang, Jinsuk & Reise, Christian & Schindele, Stephan & Bopp, Georg & Ehmann, Andrea & Weselek, Axel & Högy, Petra & Obergfell, Tabea, 2021. "Combining food and energy production: Design of an agrivoltaic system applied in arable and vegetable farming in Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    10. Agostini, A. & Colauzzi, M. & Amaducci, S., 2021. "Innovative agrivoltaic systems to produce sustainable energy: An economic and environmental assessment," Applied Energy, Elsevier, vol. 281(C).
    11. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    12. Tiwari, G.N. & Mishra, R.K. & Solanki, S.C., 2011. "Photovoltaic modules and their applications: A review on thermal modelling," Applied Energy, Elsevier, vol. 88(7), pages 2287-2304, July.
    13. Elahi, Ehsan & Khalid, Zainab, 2022. "Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms," Applied Energy, Elsevier, vol. 326(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dong-Kai Liu & Chien-Chun Hsieh & Ting-Wei Liao & Chung-Feng Jeffrey Kuo, 2023. "The Use of the Taguchi Method with Grey Relational Analysis for Nanofluid-Phase Change-Optimized Parameter Design at a Rooftop Solar Photovoltaic Thermal Composite Module for Small Households," Sustainability, MDPI, vol. 15(20), pages 1-25, October.

    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. Mohd Ashraf Zainol Abidin & Muhammad Nasiruddin Mahyuddin & Muhammad Ammirrul Atiqi Mohd Zainuri, 2021. "Solar Photovoltaic Architecture and Agronomic Management in Agrivoltaic System: A Review," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
    2. Mamun, Mohammad Abdullah Al & Dargusch, Paul & Wadley, David & Zulkarnain, Noor Azwa & Aziz, Ammar Abdul, 2022. "A review of research on agrivoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    3. Carlos Toledo & Alessandra Scognamiglio, 2021. "Agrivoltaic Systems Design and Assessment: A Critical Review, and a Descriptive Model towards a Sustainable Landscape Vision (Three-Dimensional Agrivoltaic Patterns)," Sustainability, MDPI, vol. 13(12), pages 1-38, June.
    4. Amaducci, Stefano & Yin, Xinyou & Colauzzi, Michele, 2018. "Agrivoltaic systems to optimise land use for electric energy production," Applied Energy, Elsevier, vol. 220(C), pages 545-561.
    5. Raúl Aroca-Delgado & José Pérez-Alonso & Ángel Jesús Callejón-Ferre & Borja Velázquez-Martí, 2018. "Compatibility between Crops and Solar Panels: An Overview from Shading Systems," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    6. Fernández, Eduardo F. & Villar-Fernández, Antonio & Montes-Romero, Jesús & Ruiz-Torres, Laura & Rodrigo, Pedro M. & Manzaneda, Antonio J. & Almonacid, Florencia, 2022. "Global energy assessment of the potential of photovoltaics for greenhouse farming," Applied Energy, Elsevier, vol. 309(C).
    7. Joshua M. Pearce, 2022. "Agrivoltaics in Ontario Canada: Promise and Policy," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    8. Casares de la Torre, F.J. & Varo, Marta & López-Luque, R. & Ramírez-Faz, J. & Fernández-Ahumada, L.M., 2022. "Design and analysis of a tracking / backtracking strategy for PV plants with horizontal trackers after their conversion to agrivoltaic plants," Renewable Energy, Elsevier, vol. 187(C), pages 537-550.
    9. Cossu, Marco & Cossu, Andrea & Deligios, Paola A. & Ledda, Luigi & Li, Zhi & Fatnassi, Hicham & Poncet, Christine & Yano, Akira, 2018. "Assessment and comparison of the solar radiation distribution inside the main commercial photovoltaic greenhouse types in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 822-834.
    10. Jing, Rui & He, Yang & He, Jijiang & Liu, Yang & Yang, Shoubing, 2022. "Global sensitivity based prioritizing the parametric uncertainties in economic analysis when co-locating photovoltaic with agriculture and aquaculture in China," Renewable Energy, Elsevier, vol. 194(C), pages 1048-1059.
    11. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Sijm, Jos & Faaij, André, 2022. "Detailed spatial analysis of renewables’ potential and heat: A study of Groningen Province in the northern Netherlands," Applied Energy, Elsevier, vol. 318(C).
    12. Gorjian, Shiva & Bousi, Erion & Özdemir, Özal Emre & Trommsdorff, Max & Kumar, Nallapaneni Manoj & Anand, Abhishek & Kant, Karunesh & Chopra, Shauhrat S., 2022. "Progress and challenges of crop production and electricity generation in agrivoltaic systems using semi-transparent photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    13. Gorjian, Shiva & Jalili Jamshidian, Farid & Gorjian, Alireza & Faridi, Hamideh & Vafaei, Mohammad & Zhang, Fangxin & Liu, Wen & Elia Campana, Pietro, 2023. "Technological advancements and research prospects of innovative concentrating agrivoltaics," Applied Energy, Elsevier, vol. 337(C).
    14. Dinesh, Harshavardhan & Pearce, Joshua M., 2016. "The potential of agrivoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 299-308.
    15. Al Mamun, Mohammad Abdullah & Garba, Ismail Ibrahim & Campbell, Shane & Dargusch, Paul & deVoil, Peter & Aziz, Ammar Abdul, 2023. "Biomass production of a sub-tropical grass under different photovoltaic installations using different grazing strategies," Agricultural Systems, Elsevier, vol. 208(C).
    16. Pringle, Adam M. & Handler, R.M. & Pearce, J.M., 2017. "Aquavoltaics: Synergies for dual use of water area for solar photovoltaic electricity generation and aquaculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 572-584.
    17. Sojib Ahmed, M. & Rezwan Khan, M. & Haque, Anisul & Ryyan Khan, M., 2022. "Agrivoltaics analysis in a techno-economic framework: Understanding why agrivoltaics on rice will always be profitable," Applied Energy, Elsevier, vol. 323(C).
    18. Poonia, Surendra & Jat, N.K. & Santra, Priyabrata & Singh, A.K. & Jain, Dilip & Meena, H.M., 2022. "Techno-economic evaluation of different agri-voltaic designs for the hot arid ecosystem India," Renewable Energy, Elsevier, vol. 184(C), pages 149-163.
    19. Barkat Rabbi & Zhong-Hua Chen & Subbu Sethuvenkatraman, 2019. "Protected Cropping in Warm Climates: A Review of Humidity Control and Cooling Methods," Energies, MDPI, vol. 12(14), pages 1-24, July.
    20. Agir, Seven & Derin-Gure, Pinar & Senturk, Bilge, 2023. "Farmers’ perspectives on challenges and opportunities of agrivoltaics in Turkiye: An institutional perspective," Renewable Energy, Elsevier, vol. 212(C), pages 35-49.

    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:jsusta:v:15:y:2023:i:7:p:6011-:d:1111990. 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.