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An exploration of shared heat storage systems in the greenhouse horticulture industry

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  • de Ridder, Fjo
  • van Roy, Jeroen
  • de Schutter, Bert
  • Mazairac, Wiet

Abstract

This paper presents a study of a shared heat storage (SHS) system that's integrated with the horticulture industry. In the present day, many greenhouses in Northwestern Europe are equipped with combined heat and power plants (CHPs) and gas boilers to complete three main needs, i.e., heat, power for lighting and carbon dioxide as a fertilizer. The redundant electric power can eventually be sold on the electricity market. However, these three main needs do not allow much flexibility to profit, for example, from opportunities on the energy spot market. Recently, large SHS devices have become commercially available. The present study was conducted to examine their impact on acclimatization costs and carbon dioxide emissions. A real-world case study, comprising data from nine greenhouses and 21 CHPs, was used. The novelty of this research is that it quantifies the impact of SHS on operational costs in the horticulture industry. Accordingly, the simulation was based on an optimal control problem that was cast as a linear programming problem. In brief, the heating costs can be reduced by 0.5 €/m2/y to 6.12 €/m2/y if an SHS system is installed. Moreover, a sensitivity analysis was performed, and (i) the cost reduction with respect to insulation was examined. This seems not to be a critical parameter. Under current circumstances, the storage device is mainly used for relatively short periods (up to 50 days); therefore, (ii) the size of storage was optimized. The optimal size of the storage was around 550 m³/hectare or 50 000 m³ for this case study; (iii) carbon capture techniques were found to have a modest impact on the operational costs (−3 c€/m2/y), while (iv) the most critical parameter was the gas price. The main finding is that SHS systems are already efficient under current market conditions.

Suggested Citation

  • de Ridder, Fjo & van Roy, Jeroen & de Schutter, Bert & Mazairac, Wiet, 2021. "An exploration of shared heat storage systems in the greenhouse horticulture industry," Energy, Elsevier, vol. 235(C).
  • Handle: RePEc:eee:energy:v:235:y:2021:i:c:s036054422101673x
    DOI: 10.1016/j.energy.2021.121425
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    References listed on IDEAS

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    1. Khan, K. H. & Rasul, M. G. & Khan, M. M. K., 2004. "Energy conservation in buildings: cogeneration and cogeneration coupled with thermal energy storage," Applied Energy, Elsevier, vol. 77(1), pages 15-34, January.
    2. Haeseldonckx, Dries & Peeters, Leen & Helsen, Lieve & D'haeseleer, William, 2007. "The impact of thermal storage on the operational behaviour of residential CHP facilities and the overall CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1227-1243, August.
    3. Pinel, Patrice & Cruickshank, Cynthia A. & Beausoleil-Morrison, Ian & Wills, Adam, 2011. "A review of available methods for seasonal storage of solar thermal energy in residential applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3341-3359, September.
    4. Christidis, Andreas & Koch, Christoph & Pottel, Lothar & Tsatsaronis, George, 2012. "The contribution of heat storage to the profitable operation of combined heat and power plants in liberalized electricity markets," Energy, Elsevier, vol. 41(1), pages 75-82.
    5. Lago, Jesus & De Ridder, Fjo & Mazairac, Wiet & De Schutter, Bart, 2019. "A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy," Applied Energy, Elsevier, vol. 248(C), pages 640-655.
    6. Moreton, O.R. & Rowley, P.N., 2012. "The feasibility of biomass CHP as an energy and CO2 source for commercial glasshouses," Applied Energy, Elsevier, vol. 96(C), pages 339-346.
    7. Gijs J. H. de Goeijen & Gerard J. M. Smit & Johann L. Hurink, 2017. "Improving an Integer Linear Programming Model of an Ecovat Buffer by Adding Long-Term Planning," Energies, MDPI, vol. 10(12), pages 1-18, December.
    8. Suryanarayana, Gowri & Lago, Jesus & Geysen, Davy & Aleksiejuk, Piotr & Johansson, Christian, 2018. "Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods," Energy, Elsevier, vol. 157(C), pages 141-149.
    9. Binod Prasad Koirala & Ellen van Oost & Henny van der Windt, 2020. "Innovation Dynamics of Socio-Technical Alignment in Community Energy Storage: The Cases of DrTen and Ecovat," Energies, MDPI, vol. 13(11), pages 1-22, June.
    10. Lago, Jesus & De Ridder, Fjo & De Schutter, Bart, 2018. "Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms," Applied Energy, Elsevier, vol. 221(C), pages 386-405.
    11. Gijs J. H. De Goeijen & Gerard J. M. Smit & Johann L. Hurink, 2016. "An Integer Linear Programming Model for an Ecovat Buffer," Energies, MDPI, vol. 9(8), pages 1-21, July.
    12. Rolfsman, Björn, 2004. "Combined heat-and-power plants and district heating in a deregulated electricity market," Applied Energy, Elsevier, vol. 78(1), pages 37-52, May.
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