IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i3p1331-d1048014.html
   My bibliography  Save this article

Energy Modeling and Techno-Economic Feasibility Analysis of Greenhouses for Tomato Cultivation Utilizing the Waste Heat of Cryptocurrency Miners

Author

Listed:
  • Nima Asgari

    (Department of Electrical & Computer Engineering, Western University, London, ON N6A 5B9, Canada)

  • Matthew T. McDonald

    (Ivey Business School, Western University, London, ON N6A 5B9, Canada)

  • Joshua M. Pearce

    (Department of Electrical & Computer Engineering, Western University, London, ON N6A 5B9, Canada
    Ivey Business School, Western University, London, ON N6A 5B9, Canada)

Abstract

Greenhouses extend growing seasons in upper latitudes to provide fresh, healthy food. Costs associated with carbon-emission-intensive natural gas heating, however, limit greenhouse applications and scaling. One approach to reducing greenhouse heating costs is electrification by using waste heat from cryptocurrency miners. To probe this potential, a new quasi-steady state thermal model is developed to simulate the thermal interaction between a greenhouse and the environment, thereby estimating the heating and cooling demands of the greenhouse. A cryptocurrency mining system was experimentally evaluated for heating potential. Using these experimental values, the new thermal model was applied to the waste heat of the three cryptocurrency mining systems (1, 50, and 408 miners) for optimally sized greenhouses in six locations in Canada and the U.S.: Alberta, Ontario, Quebec, California, Texas, and New York. A comprehensive parametric study was then used to analyze the effect of various parameters (air exchange rate, planting area, lighting allowance factor, and photoperiod) on the thermal demands and optimal sizing of greenhouses. Using waste heat from cryptocurrency mining was found to be economically profitable to offset natural gas heating depending on the utility rates and Bitcoin value in a wide range of scenarios.

Suggested Citation

  • Nima Asgari & Matthew T. McDonald & Joshua M. Pearce, 2023. "Energy Modeling and Techno-Economic Feasibility Analysis of Greenhouses for Tomato Cultivation Utilizing the Waste Heat of Cryptocurrency Miners," Energies, MDPI, vol. 16(3), pages 1-42, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1331-:d:1048014
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/3/1331/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/3/1331/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Iddio, E. & Wang, L. & Thomas, Y. & McMorrow, G. & Denzer, A., 2020. "Energy efficient operation and modeling for greenhouses: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    2. 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.
    3. Chinese, Damiana & Meneghetti, Antonella & Nardin, Gioacchino, 2005. "Waste-to-energy based greenhouse heating: exploring viability conditions through optimisation models," Renewable Energy, Elsevier, vol. 30(10), pages 1573-1586.
    4. Min Gyung Yu & Yujin Nam, 2016. "Feasibility Assessment of Using Power Plant Waste Heat in Large Scale Horticulture Facility Energy Supply Systems," Energies, MDPI, vol. 9(2), pages 1-16, February.
    5. Singh, R.D. & Tiwari, G.N., 2010. "Energy conservation in the greenhouse system: A steady state analysis," Energy, Elsevier, vol. 35(6), pages 2367-2373.
    6. Shuyao Dong & Md Shamim Ahamed & Chengwei Ma & Huiqing Guo, 2021. "A Time-Dependent Model for Predicting Thermal Environment of Mono-Slope Solar Greenhouses in Cold Regions," Energies, MDPI, vol. 14(18), pages 1-19, September.
    7. 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.
    8. El-Bashir, S.M. & Al-Harbi, F.F. & Elburaih, H. & Al-Faifi, F. & Yahia, I.S., 2016. "Red photoluminescent PMMA nanohybrid films for modifying the spectral distribution of solar radiation inside greenhouses," Renewable Energy, Elsevier, vol. 85(C), pages 928-938.
    9. Little, Adrienne B. & Garimella, Srinivas, 2011. "Comparative assessment of alternative cycles for waste heat recovery and upgrade," Energy, Elsevier, vol. 36(7), pages 4492-4504.
    10. Joshua M. Pearce, 2022. "Agrivoltaics in Ontario Canada: Promise and Policy," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    11. James Bambara & Andreas K. Athienitis, 2018. "Energy and Economic Analysis for Greenhouse Ground Insulation Design," Energies, MDPI, vol. 11(11), pages 1-15, November.
    12. Luo, Yang & Andresen, John & Clarke, Henry & Rajendra, Matthew & Maroto-Valer, Mercedes, 2019. "A decision support system for waste heat recovery and energy efficiency improvement in data centres," Applied Energy, Elsevier, vol. 250(C), pages 1217-1224.
    13. Tataraki, Kalliopi G. & Kavvadias, Konstantinos C. & Maroulis, Zacharias B., 2019. "Combined cooling heating and power systems in greenhouses. Grassroots and retrofit design," Energy, Elsevier, vol. 189(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. 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).
    2. Parajuli, Samvid & Narayan Bhattarai, Tek & Gorjian, Shiva & Vithanage, Meththika & Raj Paudel, Shukra, 2023. "Assessment of potential renewable energy alternatives for a typical greenhouse aquaponics in Himalayan Region of Nepal," Applied Energy, Elsevier, vol. 344(C).
    3. 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).
    4. Uzair Jamil & Joshua M. Pearce, 2022. "Energy Policy for Agrivoltaics in Alberta Canada," Energies, MDPI, vol. 16(1), pages 1-31, December.
    5. Farfan, Javier & Lohrmann, Alena & Breyer, Christian, 2019. "Integration of greenhouse agriculture to the energy infrastructure as an alimentary solution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 368-377.
    6. 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).
    7. Luo, X.J. & Oyedele, Lukumon O. & Ajayi, Anuoluwapo O. & Akinade, Olugbenga O. & Owolabi, Hakeem A. & Ahmed, Ashraf, 2020. "Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    8. Ghasemi Mobtaker, Hassan & Ajabshirchi, Yahya & Ranjbar, Seyed Faramarz & Matloobi, Mansour, 2016. "Solar energy conservation in greenhouse: Thermal analysis and experimental validation," Renewable Energy, Elsevier, vol. 96(PA), pages 509-519.
    9. La Notte, Luca & Giordano, Lorena & Calabrò, Emanuele & Bedini, Roberto & Colla, Giuseppe & Puglisi, Giovanni & Reale, Andrea, 2020. "Hybrid and organic photovoltaics for greenhouse applications," Applied Energy, Elsevier, vol. 278(C).
    10. Xue, Xiaodi & Guo, Cong & Du, Xiaoze & Yang, Lijun & Yang, Yongping, 2015. "Thermodynamic analysis and optimization of a two-stage organic Rankine cycle for liquefied natural gas cryogenic exergy recovery," Energy, Elsevier, vol. 83(C), pages 778-787.
    11. Icaro Yuri Pereira Dias & Lira Luz Benites Lazaro & Virginia Grace Barros, 2023. "Water–Energy–Food Security Nexus—Estimating Future Water Demand Scenarios Based on Nexus Thinking: The Watershed as a Territory," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    12. Satanphol, K. & Pridasawas, W. & Suphanit, B., 2017. "A study on optimal composition of zeotropic working fluid in an Organic Rankine Cycle (ORC) for low grade heat recovery," Energy, Elsevier, vol. 123(C), pages 326-339.
    13. Yang, Sheng & Yang, Siyu & Wang, Yifan & Qian, Yu, 2017. "Low grade waste heat recovery with a novel cascade absorption heat transformer," Energy, Elsevier, vol. 130(C), pages 461-472.
    14. Wang, E.H. & Zhang, H.G. & Zhao, Y. & Fan, B.Y. & Wu, Y.T. & Mu, Q.H., 2012. "Performance analysis of a novel system combining a dual loop organic Rankine cycle (ORC) with a gasoline engine," Energy, Elsevier, vol. 43(1), pages 385-395.
    15. Wu, Wei & Wang, Baolong & Shi, Wenxing & Li, Xianting, 2014. "Absorption heating technologies: A review and perspective," Applied Energy, Elsevier, vol. 130(C), pages 51-71.
    16. Liu, Chao & He, Chao & Gao, Hong & Xie, Hui & Li, Yourong & Wu, Shuangying & Xu, Jinliang, 2013. "The environmental impact of organic Rankine cycle for waste heat recovery through life-cycle assessment," Energy, Elsevier, vol. 56(C), pages 144-154.
    17. Rojas-Hernandez, Rocío Estefanía & Rubio-Marcos, Fernando & Rodriguez, Miguel Ángel & Fernandez, José Francisco, 2018. "Long lasting phosphors: SrAl2O4:Eu, Dy as the most studied material," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2759-2770.
    18. Roy, J.P. & Misra, Ashok, 2012. "Parametric optimization and performance analysis of a regenerative Organic Rankine Cycle using R-123 for waste heat recovery," Energy, Elsevier, vol. 39(1), pages 227-235.
    19. Piotr Kowalski & Paweł Szałański & Wojciech Cepiński, 2021. "Waste Heat Recovery by Air-to-Water Heat Pump from Exhausted Ventilating Air for Heating of Multi-Family Residential Buildings," Energies, MDPI, vol. 14(23), pages 1-17, November.
    20. Privat, Romain & Qian, Jun-Wei & Alonso, Dominique & Jaubert, Jean-Noël, 2013. "Quest for an efficient binary working mixture for an absorption-demixing heat transformer," Energy, Elsevier, vol. 55(C), pages 594-609.

    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:jeners:v:16:y:2023:i:3:p:1331-:d:1048014. 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.