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Innovation in Vertical Farming: A Model-Based Energy Assessment and Performance Comparison of Adaptive Versus Standard Systems

Author

Listed:
  • Antonio De Donno

    (Department of Mechanical, Energy, Management and Transport Engineering (DIME), Polytechnic School, University of Genoa, Via all’Opera Pia 15/A, 16145 Genoa, Italy)

  • Luca Antonio Tagliafico

    (Department of Mechanical, Energy, Management and Transport Engineering (DIME), Polytechnic School, University of Genoa, Via all’Opera Pia 15/A, 16145 Genoa, Italy)

  • Patrizia Bagnerini

    (Department of Mechanical, Energy, Management and Transport Engineering (DIME), Polytechnic School, University of Genoa, Via all’Opera Pia 15/A, 16145 Genoa, Italy)

Abstract

According to United Nations projections, the global population is expected to reach 9.7 billion by 2050, with 70% residing in urban areas, while arable land availability continues to decline. Vertical farming (VF) offers a promising pathway for sustainable urban food production by utilizing vertical space and controlled environments. Among emerging approaches, the adaptive vertical farm (AVF) introduces movable shelving systems that adjust to plant growth stages, allowing a higher number of cultivation shelves to be accommodated within the same rack height. In this study, we developed a computational model to quantify and compare the energy consumption of AVF and conventional VF systems under industrial-scale conditions. The reference scenario considered 272 multilevel racks, each hosting 8 shelves in the VF and 15 shelves in the AVF, with Lactuca sativa as the test crop. Energy consumption for thermohygrometric control and lighting was estimated under different sowing schedules, with crop growth dynamics simulated using scheduling algorithms. Plant heat loads were calculated through the Penman–Monteith model, enabling a robust estimation of evapotranspiration and its impact on indoor climate control. Simulation results show that the AVF achieves an average 22% reduction in specific energy consumption for climate control compared to the VF, independently of sowing strategies. Moreover, the AVF nearly doubles the number of cultivation shelves within the same footprint, increasing the cultivable surface area by over 400% compared to traditional flat indoor systems. This work provides the first quantitative assessment of AVF energy performance, demonstrating its potential to simultaneously improve land-use efficiency and reduce energy intensity, thereby supporting the sustainable integration of vertical farming in urban food systems.

Suggested Citation

  • Antonio De Donno & Luca Antonio Tagliafico & Patrizia Bagnerini, 2025. "Innovation in Vertical Farming: A Model-Based Energy Assessment and Performance Comparison of Adaptive Versus Standard Systems," Sustainability, MDPI, vol. 17(18), pages 1-27, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8319-:d:1751024
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    References listed on IDEAS

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    1. Jiarui Liu & Azusa Oita & Kentaro Hayashi & Kazuyo Matsubae, 2022. "Sustainability of Vertical Farming in Comparison with Conventional Farming: A Case Study in Miyagi Prefecture, Japan, on Nitrogen and Phosphorus Footprint," Sustainability, MDPI, vol. 14(2), pages 1-18, January.
    2. 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).
    3. Okochi, Godwine Swere & Yao, Ye, 2016. "A review of recent developments and technological advancements of variable-air-volume (VAV) air-conditioning systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 784-817.
    4. Cossu, Marco & Tiloca, Maria Teresa & Cossu, Andrea & Deligios, Paola A. & Pala, Tore & Ledda, Luigi, 2023. "Increasing the agricultural sustainability of closed agrivoltaic systems with the integration of vertical farming: A case study on baby-leaf lettuce," Applied Energy, Elsevier, vol. 344(C).
    5. Jost Buscher & Julija Bakunowitsch & Kathrin Specht, 2023. "Transformative Potential of Vertical Farming—An Urban Planning Investigation Using Multi-Level Perspective," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    6. KC Shasteen & Murat Kacira, 2023. "Predictive Modeling and Computer Vision-Based Decision Support to Optimize Resource Use in Vertical Farms," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    7. Diana H. Wall & Uffe N. Nielsen & Johan Six, 2015. "Soil biodiversity and human health," Nature, Nature, vol. 528(7580), pages 69-76, December.
    8. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    9. Constantinos A. Balaras & Elena G. Dascalaki & Ioanna Psarra & Tomasz Cholewa, 2022. "Primary Energy Factors for Electricity Production in Europe," Energies, MDPI, vol. 16(1), pages 1-21, December.
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