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Urban vertical farming with a large wind power share and optimised electricity costs

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  • Arabzadeh, Vahid
  • Miettinen, Panu
  • Kotilainen, Titta
  • Herranen, Pasi
  • Karakoc, Alp
  • Kummu, Matti
  • Rautkari, Lauri

Abstract

Producing food in an environmentally sustainable way for the growing human population is a challenge to the global food system. Vertical farm (VF) as a part of the solution portfolio is attracting interest since it uses less water, pesticides, and land which are scarce in many parts of the globe. Despite these positive factors, the energy demand for vertical farms is high, and farms often remain separate and excluded from cities where most of the population lives. City-level energy system solutions exist to empower energy efficiency and increase the share of variable renewable energy sources, but their potential has not yet been estimated for an urban energy system that includes large vertical farms. Accordingly, in this study, we simulate an urban energy system that practices vertical farming with large-scale variable renewable energies and flexibility measures. For the first part of the study, we modelled a vertical farm's energy system with demand response control to maximize electricity cost savings. To evaluate the potential of demand response, the analysis is carried out for different crops (lettuce, wheat, and soybean), and different electricity price profiles. The result of demand response control can be a reduction of 5% to 30% in electricity consumption costs. Further, sensitivity analyses highlight the effect of electricity price variations and photoperiod on demand response outcomes. In the second part, the operation of an urban energy system (Helsinki, Finland) with vertical farms was analysed through two different scenarios. These scenarios represent the emission-free Helsinki energy system in 2050 with large-scale wind power implementation. As VFs can use electricity outside the peak demand hours, the inclusion of VF with the right energy system configuration can improve the power consumption within the system by up to 19%. Further, we show that connection to the exogenous power market is important to support vertical farming in the future energy systems. In this study, key points in the integration of VF in urban energy systems are highlighted, including the role of exogenous power markets, the potential for increasing local energy consumption with large wind power, and the importance of crop selection in reducing VF's energy costs through demand response. In a city-level solution with a high wind power share, we thus recommend including a vertical farm side by strong sectoral coupling as part of the future design to maximise local consumption.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:331:y:2023:i:c:s0306261922016737
    DOI: 10.1016/j.apenergy.2022.120416
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    References listed on IDEAS

    as
    1. Zeng, Bo & Wu, Geng & Wang, Jianhui & Zhang, Jianhua & Zeng, Ming, 2017. "Impact of behavior-driven demand response on supply adequacy in smart distribution systems," Applied Energy, Elsevier, vol. 202(C), pages 125-137.
    2. Cai, Hanmin & You, Shi & Wu, Jianzhong, 2020. "Agent-based distributed demand response in district heating systems," Applied Energy, Elsevier, vol. 262(C).
    3. Miguel Amado & Francesca Poggi & António Ribeiro Amado & Sílvia Breu, 2018. "E-City Web Platform: A Tool for Energy Efficiency at Urban Level," Energies, MDPI, vol. 11(7), pages 1-14, July.
    4. Mier, Mathias & Weissbart, Christoph, 2020. "Power markets in transition: Decarbonization, energy efficiency, and short-term demand response," Energy Economics, Elsevier, vol. 86(C).
    5. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    6. Liuping Hu & Hongyi Li & Zujun Ou, 2019. "Constructing optimal four-level designs via Gray map code," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(5), pages 573-587, July.
    7. Vahid Arabzadeh & Peter D. Lund, 2020. "Effect of Heat Demand on Integration of Urban Large-Scale Renewable Schemes—Case of Helsinki City (60 °N)," Energies, MDPI, vol. 13(9), pages 1-17, May.
    8. Jägemann, Cosima & Fürsch, Michaela & Hagspiel, Simeon & Nagl, Stephan, 2013. "Decarbonizing Europe's power sector by 2050 — Analyzing the economic implications of alternative decarbonization pathways," Energy Economics, Elsevier, vol. 40(C), pages 622-636.
    9. Graamans, Luuk & Baeza, Esteban & van den Dobbelsteen, Andy & Tsafaras, Ilias & Stanghellini, Cecilia, 2018. "Plant factories versus greenhouses: Comparison of resource use efficiency," Agricultural Systems, Elsevier, vol. 160(C), pages 31-43.
    10. Yun, Lingxiang & Li, Lin & Ma, Shuaiyin, 2022. "Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment," Applied Energy, Elsevier, vol. 310(C).
    11. Hannele Holttinen, 2012. "Wind integration: experience, issues, and challenges," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 1(3), pages 243-255, November.
    12. Mikkola, Jani & Lund, Peter D., 2016. "Modeling flexibility and optimal use of existing power plants with large-scale variable renewable power schemes," Energy, Elsevier, vol. 112(C), pages 364-375.
    13. Fang, Tingting & Lahdelma, Risto, 2016. "Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system," Applied Energy, Elsevier, vol. 179(C), pages 544-552.
    14. Lee, Eun-Ju & Yun, Jin Ho, 2019. "Moral incompetency under time constraint," Journal of Business Research, Elsevier, vol. 99(C), pages 438-445.
    15. Flavian Lihwa & Christopher J. Johnstone & Matthew A.M. Thomas & Brooke Krause, 2019. "Remoteness as a gendered construct," Development in Practice, Taylor & Francis Journals, vol. 29(4), pages 501-513, May.
    16. Radini, Serena & Marinelli, Enrico & Akyol, Çağrı & Eusebi, Anna Laura & Vasilaki, Vasileia & Mancini, Adriano & Frontoni, Emanuele & Bischetti, Gian Battista & Gandolfi, Claudio & Katsou, Evina & Fat, 2021. "Urban water-energy-food-climate nexus in integrated wastewater and reuse systems: Cyber-physical framework and innovations," Applied Energy, Elsevier, vol. 298(C).
    17. Alizadeh, M.I. & Parsa Moghaddam, M. & Amjady, N. & Siano, P. & Sheikh-El-Eslami, M.K., 2016. "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1186-1193.
    18. Long, Yin & Yoshida, Yoshikuni, 2018. "Quantifying city-scale emission responsibility based on input-output analysis – Insight from Tokyo, Japan," Applied Energy, Elsevier, vol. 218(C), pages 349-360.
    19. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    20. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    21. Sannamari Pilpola & Vahid Arabzadeh & Jani Mikkola & Peter D. Lund, 2019. "Analyzing National and Local Pathways to Carbon-Neutrality from Technology, Emissions, and Resilience Perspectives—Case of Finland," Energies, MDPI, vol. 12(5), pages 1-22, March.
    22. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    23. Lorenzi, Guido & Silva, Carlos Augusto Santos, 2016. "Comparing demand response and battery storage to optimize self-consumption in PV systems," Applied Energy, Elsevier, vol. 180(C), pages 524-535.
    24. Parrish, Bryony & Heptonstall, Phil & Gross, Rob & Sovacool, Benjamin K., 2020. "A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response," Energy Policy, Elsevier, vol. 138(C).
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