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Cogeneration Economics for Greenhouses in Europe

Author

Listed:
  • Kalliopi Tataraki

    (Laboratory of Process Analysis and Design, National Technical University of Athens, 15780 Athens, Greece)

  • Eugenia Giannini

    (Laboratory of Process Analysis and Design, National Technical University of Athens, 15780 Athens, Greece)

  • Konstantinos Kavvadias

    (Laboratory of Process Analysis and Design, National Technical University of Athens, 15780 Athens, Greece)

  • Zacharias Maroulis

    (Laboratory of Process Analysis and Design, National Technical University of Athens, 15780 Athens, Greece)

Abstract

Cogeneration is a cost-effective technology, and modern greenhouses are considered one of the best applications for it due to their energy intensity. Taking into account that in such cases the production cost is significantly affected by the cost of energy, the potential of combined heat and power (CHP) has already been examined and proved in practice in some European countries, with the Netherlands being the most representative example. In this study, a comparative investigation of the greenhouse energy cost in all European countries is presented through the use of a combined cooling heat and power (CCHP) system. Using actual historical data spanning a decade, a total overview of the European level is given regarding greenhouse thermal requirements and CCHP energy costs for the cultivation of products with an accepted temperature cultivation range 20 ± 5 °C. By consulting (a) the available daily historical meteorological data for the 2008–2018 period, (b) the recorded actual electricity and natural gas prices for the 2008–2018 period, and (c) the technical characteristics of the CCHP system, the annual heating and cooling requirements of greenhouses are determined for all EU countries. Assuming a cogeneration unit with an internal combustion engine (ICE) as a prime mover, as well as a single-effect absorption chiller for the production of useful cooling, the unitary cost of energy is estimated along with the annual cost for heating and cooling per unit cultivation area. Using this methodology, the economic efficiency of cogeneration in greenhouses is assessed for the selected 10-year period, allowing the identification of the countries that benefit the most from this technology. The results indicate that the spark ratio (e.g., the electricity to natural gas price ratio) is the most crucial parameter for greenhouse costs. For countries where the ratio is larger than 3, greenhouses can even result in an extra cashflow instead of energy expenditures. The most favorable conditions for cogeneration use were found in Italy and the United Kingdom with an average spark ratio more than 4, resulting in an annual total cost of heating energy close to −7 €/m 2 per year. On the other hand, cogeneration proved not to be a cost-efficient system in Sweden and Finland as a result of significantly high greenhouse energy requirements.

Suggested Citation

  • Kalliopi Tataraki & Eugenia Giannini & Konstantinos Kavvadias & Zacharias Maroulis, 2020. "Cogeneration Economics for Greenhouses in Europe," Energies, MDPI, vol. 13(13), pages 1-27, July.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3373-:d:379038
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    References listed on IDEAS

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    Cited by:

    1. Chiara Bersani & Marco Fossa & Antonella Priarone & Roberto Sacile & Enrico Zero, 2021. "Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse," Energies, MDPI, vol. 14(11), pages 1-21, June.
    2. Eugenia Giannini, 2022. "Cogeneration Economics," Energies, MDPI, vol. 15(14), pages 1-4, July.
    3. Urbano, Eva M. & Martinez-Viol, Victor & Kampouropoulos, Konstantinos & Romeral, Luis, 2022. "Risk assessment of energy investment in the industrial framework – Uncertainty and Sensitivity Analysis for energy design and operation optimisation," Energy, Elsevier, vol. 239(PA).
    4. Liting Zhang & Weijun Gao & Yongwen Yang & Fanyue Qian, 2020. "Impacts of Investment Cost, Energy Prices and Carbon Tax on Promoting the Combined Cooling, Heating and Power (CCHP) System of an Amusement Park Resort in Shanghai," Energies, MDPI, vol. 13(16), pages 1-22, August.
    5. Anna-Maria N. Dimitropoulou & Vasileios Z. Maroulis & Eugenia N. Giannini, 2023. "A Simple and Effective Model for Predicting the Thermal Energy Requirements of Greenhouses in Europe," Energies, MDPI, vol. 16(19), pages 1-27, September.

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