IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v372y2024ics0306261924011395.html
   My bibliography  Save this article

The indoor agriculture industry: A promising player in demand response services

Author

Listed:
  • Penuela, Javier
  • Ben, Cécile
  • Boldyrev, Stepan
  • Gentzbittel, Laurent
  • Ouerdane, Henni

Abstract

Demand response (DR) programs currently cover about 2% of the average annual global demand, which is far from contributing to the International Energy Agency’s “Net Zero by 2050” roadmap’s 20% target. While aggregation of many small flexible loads such as individual households can help reaching this target, increasing the participation of industries that are major electricity consumers is certainly a way forward. The indoor agriculture sector currently experiences a significant growth to partake in the sustainable production of high-quality food world-wide. As energy-related costs, up to 40% of the total expenses, may preclude full maturity of this industry, DR participation can result in a win-win situation. Indeed, the agriculture system must transform and become a sustainable source of food for an increasing number of people worldwide under the constraints of preservation of soils and water, carbon footprint, and energy efficiency. We considered the case of the Russian Federation where indoor farming is burgeoning and already represents a load of several thousand megawatts. To show the viability of the indoor farming industry participation in implicit and explicit DR programs, we built a physical model of a vertical farm inside a phytotron with complete control of environmental parameters including ambient temperature, relative humidity, CO2 concentration, and photosynthetic photon flux density. This phytotron was used as a model greenhouse. We grew different varieties of leafy plants under simulated DR conditions and control conditions on the same setup. Our results show that the indoor farming dedicated to greens can participate in DR without adversely affecting plant production and that this presents two significant economic advantages: first, on the industry side, savings ranging from 15.34% up to 23.03% of the complementary lighting energy cost; next, an increase of up to 62% of the latest reported capacity participating in the current Russian DR program.

Suggested Citation

  • Penuela, Javier & Ben, Cécile & Boldyrev, Stepan & Gentzbittel, Laurent & Ouerdane, Henni, 2024. "The indoor agriculture industry: A promising player in demand response services," Applied Energy, Elsevier, vol. 372(C).
    • Handle: RePEc:eee:appene:v:372:y:2024:i:c:s0306261924011395
    DOI: 10.1016/j.apenergy.2024.123756
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924011395
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123756?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ma, Yujia & Liu, Jinfu & Zhu, Linhai & Li, Qi & Guo, Yaqiong & Liu, Huanpeng & Yu, Daren, 2022. "Multi-objective performance optimization and control for gas turbine Part-load operation Energy-saving and NOx emission reduction," Applied Energy, Elsevier, vol. 320(C).
    2. Bogdanov, Dmitrii & Toktarova, Alla & Breyer, Christian, 2019. "Transition towards 100% renewable power and heat supply for energy intensive economies and severe continental climate conditions: Case for Kazakhstan," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Alexander N. Alekseev & Svetlana V. Lobova & Aleksei V. Bogoviz & Yulia V. Ragulina, 2019. "Digitalization of the Russian Energy Sector: State-of-the-art and Potential for Future Research," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 274-280.
    4. Arabzadeh, Vahid & Miettinen, Panu & Kotilainen, Titta & Herranen, Pasi & Karakoc, Alp & Kummu, Matti & Rautkari, Lauri, 2023. "Urban vertical farming with a large wind power share and optimised electricity costs," Applied Energy, Elsevier, vol. 331(C).
    5. Good, Nicholas, 2019. "Using behavioural economic theory in modelling of demand response," Applied Energy, Elsevier, vol. 239(C), pages 107-116.
    6. Luchnikov, I. & Métivier, D. & Ouerdane, H. & Chertkov, M., 2021. "Super-relaxation of space–time-quantized ensemble of energy loads to curtail their synchronization after demand response perturbation," Applied Energy, Elsevier, vol. 285(C).
    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. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Wadim Strielkowski & Anna Sherstobitova & Patrik Rovny & Tatiana Evteeva, 2021. "Increasing Energy Efficiency and Modernization of Energy Systems in Russia: A Review," Energies, MDPI, vol. 14(11), pages 1-19, May.
    3. Lynch, Muireann Á. & Nolan, Sheila & Devine, Mel T. & O’Malley, Mark, 2019. "The impacts of demand response participation in capacity markets," Applied Energy, Elsevier, vol. 250(C), pages 444-451.
    4. Raman, Gururaghav & Zhao, Bo & Peng, Jimmy Chih-Hsien & Weidlich, Matthias, 2022. "Adaptive incentive-based demand response with distributed non-compliance assessment," Applied Energy, Elsevier, vol. 326(C).
    5. Qi Huang & Aihua Jiang & Yu Zeng & Jianan Xu, 2022. "Community Flexible Load Dispatching Model Based on Herd Mentality," Energies, MDPI, vol. 15(13), pages 1-18, June.
    6. Ma, Kai & Zhang, Rencai & Yang, Jie & Song, Debao, 2023. "Collaborative optimization scheduling of integrated energy system considering user dissatisfaction," Energy, Elsevier, vol. 274(C).
    7. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
    8. Bhagwan, N. & Evans, M., 2023. "A review of industry 4.0 technologies used in the production of energy in China, Germany, and South Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    9. Lin, Jin & Dong, Jun & Liu, Dongran & Zhang, Yaoyu & Ma, Tongtao, 2022. "From peak shedding to low-carbon transitions: Customer psychological factors in demand response," Energy, Elsevier, vol. 238(PA).
    10. Mina Masoomi & Mostafa Panahi & Reza Samadi, 2022. "Demand side management for electricity in Iran: cost and emission analysis using LEAP modeling framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5667-5693, April.
    11. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    12. Yang, Tianyu & Guo, Qinglai & Xu, Luo & Sun, Hongbin, 2021. "Dynamic pricing for integrated energy-traffic systems from a cyber-physical-human perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    13. Ahmed, Mostafa Shaban & Raihan, Sheikh Arif & Balasingam, Balakumar, 2020. "A scaling approach for improved state of charge representation in rechargeable batteries," Applied Energy, Elsevier, vol. 267(C).
    14. Wu, Xin & Yao, Lijuan & Pi, Tanxin & Liu, Yuhang & Li, Xiang & Gong, Gangjun, 2023. "Virtual-real interaction control of hybrid load system for low-carbon energy services," Applied Energy, Elsevier, vol. 330(PB).
    15. Spandagos, Constantine & Yarime, Masaru & Baark, Erik & Ng, Tze Ling, 2020. "“Triple Target” policy framework to influence household energy behavior: Satisfy, strengthen, include," Applied Energy, Elsevier, vol. 269(C).
    16. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N., 2022. "Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    17. Jacobson, Mark Z., 2021. "The cost of grid stability with 100 % clean, renewable energy for all purposes when countries are isolated versus interconnected," Renewable Energy, Elsevier, vol. 179(C), pages 1065-1075.
    18. Li, Zhenghui & Yao, Shunchun & Chen, Da & Li, Longqian & Lu, Zhimin & Liu, Wen & Yu, Zhuliang, 2024. "Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization," Energy, Elsevier, vol. 306(C).
    19. Todd, Annika & Cappers, Peter & Spurlock, C. Anna & Jin, Ling, 2019. "Spillover as a cause of bias in baseline evaluation methods for demand response programs," Applied Energy, Elsevier, vol. 250(C), pages 344-357.
    20. Laha, Priyanka & Chakraborty, Basab, 2021. "Cost optimal combinations of storage technologies for maximizing renewable integration in Indian power system by 2040: Multi-region approach," Renewable Energy, Elsevier, vol. 179(C), pages 233-247.

    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:eee:appene:v:372:y:2024:i:c:s0306261924011395. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.