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Hierarchical optimization for the energy management of a greenhouse integrated with grid-tied photovoltaic–battery systems

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  • Lin, Dong
  • Dong, Yun
  • Ren, Zhiling
  • Zhang, Lijun
  • Fan, Yuling

Abstract

This study addresses the challenges of high energy consumption and environmental concerns in traditional greenhouse operations by exploring an integrated greenhouse with grid-tied photovoltaic (PV)-battery systems. A two-layer hierarchical optimization framework is proposed for effective energy management. In the upper layer, greenhouse operations are optimized with the Energy Consumption Minimization (ECM) strategy and the Energy Cost Minimization (ECoM) strategy, ensuring suitable climate conditions while reducing energy use and costs. In the lower layer, the scheduling of the hybrid energy system is optimized with the Self-consumption Maximization (SCM) strategy and the Total Cost Minimization (TCM) strategy, aiming to maximize the self-consumption of PV power and minimize total costs, including energy costs, battery aging costs, and carbon emission costs, while meeting the greenhouse’s electricity demand. A sensitivity analysis is conducted to investigate the impact of electricity prices, feed-in tariffs, battery capacity, and PV array area on hybrid energy system scheduling. Results reveal that the ECoM strategy reduces costs by 6.98% compared to the ECM strategy, and the TCM strategy reduces total costs by 43.50% compared to the SCM strategy. Battery capacity and PV array area are found to have a more significant influence on total costs than electricity prices and feed-in tariffs. This study can offer crucial insights for realizing cost-effective and environmentally friendly greenhouse operations, contributing to the advancement of sustainable agriculture.

Suggested Citation

  • Lin, Dong & Dong, Yun & Ren, Zhiling & Zhang, Lijun & Fan, Yuling, 2024. "Hierarchical optimization for the energy management of a greenhouse integrated with grid-tied photovoltaic–battery systems," Applied Energy, Elsevier, vol. 374(C).
    • Handle: RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013898
    DOI: 10.1016/j.apenergy.2024.124006
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    1. Singh, Devesh & Basu, Chandrajit & Meinhardt-Wollweber, Merve & Roth, Bernhard, 2015. "LEDs for energy efficient greenhouse lighting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 139-147.
    2. Tsafaras, I. & Campen, J.B. & Stanghellini, C. & de Zwart, H.F. & Voogt, W. & Scheffers, K. & Harbi, A. Al & Assaf, K. Al, 2021. "Intelligent greenhouse design decreases water use for evaporative cooling in arid regions," Agricultural Water Management, Elsevier, vol. 250(C).
    3. Koo, Choongwan & Si, Ke & Li, Wenzhuo & Lee, JeeHee, 2022. "Integrated approach to evaluating the impact of feed-in tariffs on the life cycle economic performance of photovoltaic systems in China: A case study of educational facilities," Energy, Elsevier, vol. 254(PB).
    4. Ouammi, Ahmed, 2021. "Model predictive control for optimal energy management of connected cluster of microgrids with net zero energy multi-greenhouses," Energy, Elsevier, vol. 234(C).
    5. Mulleriyawage, U.G.K. & Shen, W.X., 2020. "Optimally sizing of battery energy storage capacity by operational optimization of residential PV-Battery systems: An Australian household case study," Renewable Energy, Elsevier, vol. 160(C), pages 852-864.
    6. Arndt, Channing & Davies, Rob & Gabriel, Sherwin & Harris, Laurence & Makrelov, Konstantin & Robinson, Sherman & Levy, Stephanie & Simbanegavi, Witness & van Seventer, Dirk & Anderson, Lillian, 2020. "Covid-19 lockdowns, income distribution, and food security: an analysis for South Africa," LSE Research Online Documents on Economics 105814, London School of Economics and Political Science, LSE Library.
    7. Lawrence, A., 2020. "Energy decentralization in South Africa: Why past failure points to future success," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    8. van Beveren, P.J.M. & Bontsema, J. & van Straten, G. & van Henten, E.J., 2015. "Optimal control of greenhouse climate using minimal energy and grower defined bounds," Applied Energy, Elsevier, vol. 159(C), pages 509-519.
    9. Liu, Xingan & Wu, Xiaoyang & Xia, Tianyang & Fan, Zilong & Shi, Wenbin & Li, Yiming & Li, Tianlai, 2022. "New insights of designing thermal insulation and heat storage of Chinese solar greenhouse in high latitudes and cold regions," Energy, Elsevier, vol. 242(C).
    10. Katzin, David & Marcelis, Leo F.M. & van Mourik, Simon, 2021. "Energy savings in greenhouses by transition from high-pressure sodium to LED lighting," Applied Energy, Elsevier, vol. 281(C).
    11. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Net-zero energy management and optimization of commercial building sectors with hybrid renewable energy systems integrated with energy storage of pumped hydro and hydrogen taxis," Applied Energy, Elsevier, vol. 321(C).
    12. Van Beveren, P.J.M. & Bontsema, J. & Van Straten, G. & Van Henten, E.J., 2015. "Minimal heating and cooling in a modern rose greenhouse," Applied Energy, Elsevier, vol. 137(C), pages 97-109.
    13. Lin, Dong & Zhang, Lijun & Xia, Xiaohua, 2021. "Model predictive control of a Venlo-type greenhouse system considering electrical energy, water and carbon dioxide consumption," Applied Energy, Elsevier, vol. 298(C).
    14. Samour, Ahmed & Moyo, Delani & Tursoy, Turgut, 2022. "Renewable energy, banking sector development, and carbon dioxide emissions nexus: A path toward sustainable development in South Africa," Renewable Energy, Elsevier, vol. 193(C), pages 1032-1040.
    15. Hu, Guoqing & You, Fengqi, 2022. "Renewable energy-powered semi-closed greenhouse for sustainable crop production using model predictive control and machine learning for energy management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    16. Ge, Quanwu & Ke, Zhixin & Liu, Yutong & Chai, Fu & Yang, Wenhua & Zhang, Zhili & Wang, Yang, 2023. "Low-carbon strategy of demand-based regulating heating and lighting for the heterogeneous environment in beijing Venlo-type greenhouse," Energy, Elsevier, vol. 267(C).
    17. Costantino, Andrea & Comba, Lorenzo & Sicardi, Giacomo & Bariani, Mauro & Fabrizio, Enrico, 2021. "Energy performance and climate control in mechanically ventilated greenhouses: A dynamic modelling-based assessment and investigation," Applied Energy, Elsevier, vol. 288(C).
    18. Liu, Zhengguang & Wang, Wene & Chen, Yuntian & Wang, Lili & Guo, Zhiling & Yang, Xiaohu & Yan, Jinyue, 2023. "Solar harvest: Enhancing carbon sequestration and energy efficiency in solar greenhouses with PVT and GSHP systems," Renewable Energy, Elsevier, vol. 211(C), pages 112-125.
    19. Golzar, Farzin & Heeren, Niko & Hellweg, Stefanie & Roshandel, Ramin, 2018. "A novel integrated framework to evaluate greenhouse energy demand and crop yield production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 487-501.
    20. Wu, Yaling & Liu, Zhongbing & Liu, Jiangyang & Xiao, Hui & Liu, Ruimiao & Zhang, Ling, 2022. "Optimal battery capacity of grid-connected PV-battery systems considering battery degradation," Renewable Energy, Elsevier, vol. 181(C), pages 10-23.
    21. Achour, Yasmine & Ouammi, Ahmed & Zejli, Driss, 2021. "Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    22. Aliyu, Abubakar Kabir & Modu, Babangida & Tan, Chee Wei, 2018. "A review of renewable energy development in Africa: A focus in South Africa, Egypt and Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2502-2518.
    23. Zou, Bin & Peng, Jinqing & Li, Sihui & Li, Yi & Yan, Jinyue & Yang, Hongxing, 2022. "Comparative study of the dynamic programming-based and rule-based operation strategies for grid-connected PV-battery systems of office buildings," Applied Energy, Elsevier, vol. 305(C).
    24. Noah Kaufman & Alexander R. Barron & Wojciech Krawczyk & Peter Marsters & Haewon McJeon, 2020. "A near-term to net zero alternative to the social cost of carbon for setting carbon prices," Nature Climate Change, Nature, vol. 10(11), pages 1010-1014, November.
    25. Adebayo, Tomiwa Sunday & Awosusi, Abraham Ayobamiji & Bekun, Festus Victor & Altuntaş, Mehmet, 2021. "Coal energy consumption beat renewable energy consumption in South Africa: Developing policy framework for sustainable development," Renewable Energy, Elsevier, vol. 175(C), pages 1012-1024.
    26. Ouazzani Chahidi, Laila & Fossa, Marco & Priarone, Antonella & Mechaqrane, Abdellah, 2021. "Energy saving strategies in sustainable greenhouse cultivation in the mediterranean climate – A case study," Applied Energy, Elsevier, vol. 282(PA).
    27. Mahmood, Farhat & Govindan, Rajesh & Bermak, Amine & Yang, David & Al-Ansari, Tareq, 2023. "Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment," Applied Energy, Elsevier, vol. 343(C).
    28. Chen, Wei-Han & Mattson, Neil S. & You, Fengqi, 2022. "Intelligent control and energy optimization in controlled environment agriculture via nonlinear model predictive control of semi-closed greenhouse," Applied Energy, Elsevier, vol. 320(C).
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