IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v235y2021ics036054422101673x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422101673X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121425?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bouadila, Salwa & Baddadi, Sara & Skouri, Safa & Ayed, Rabeb, 2022. "Assessing heating and cooling needs of hydroponic sheltered system in mediterranean climate: A case study sustainable fodder production," Energy, Elsevier, vol. 261(PB).
    2. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Minimizing mission cost for production system with unreliable storage," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    3. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Unrepairable system with single production unit and n failure-prone identical parallel storage units," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Wang, XiaoLong & Sun, GuoChen & Zhang, LinHua & Lei, WenJun & Zhang, WenKe & Li, HaoYi & Zhang, ChunYue & Guo, JingChenxi, 2023. "Application of green energy in smart rural passive heating: A case study of indoor temperature self-regulating greenhouse of winter in Jinan, China," Energy, Elsevier, vol. 278(C).
    5. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Optimizing the maximum filling level of perfect storage in system with imperfect production unit," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    6. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Unrepairable system with consecutively used imperfect storage units," Reliability Engineering and System Safety, Elsevier, vol. 225(C).

    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. Arteconi, A. & Hewitt, N.J. & Polonara, F., 2012. "State of the art of thermal storage for demand-side management," Applied Energy, Elsevier, vol. 93(C), pages 371-389.
    2. Streckiene, Giedre & Martinaitis, Vytautas & Andersen, Anders N. & Katz, Jonas, 2009. "Feasibility of CHP-plants with thermal stores in the German spot market," Applied Energy, Elsevier, vol. 86(11), pages 2308-2316, November.
    3. Zhong, Wei & Huang, Wei & Lin, Xiaojie & Li, Zhongbo & Zhou, Yi, 2020. "Research on data-driven identification and prediction of heat response time of urban centralized heating system," Energy, Elsevier, vol. 212(C).
    4. Villasmil, Willy & Fischer, Ludger J. & Worlitschek, Jörg, 2019. "A review and evaluation of thermal insulation materials and methods for thermal energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 71-84.
    5. Lago, Jesus & Poplavskaya, Ksenia & Suryanarayana, Gowri & De Schutter, Bart, 2021. "A market framework for grid balancing support through imbalances trading," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    6. Mongibello, Luigi & Bianco, Nicola & Caliano, Martina & Graditi, Giorgio, 2016. "Comparison between two different operation strategies for a heat-driven residential natural gas-fired CHP system: Heat dumping vs. load partialization," Applied Energy, Elsevier, vol. 184(C), pages 55-67.
    7. Chesi, Andrea & Ferrara, Giovanni & Ferrari, Lorenzo & Magnani, Sandro & Tarani, Fabio, 2013. "Influence of the heat storage size on the plant performance in a Smart User case study," Applied Energy, Elsevier, vol. 112(C), pages 1454-1465.
    8. Lund, H. & Siupsinskas, G. & Martinaitis, V., 2005. "Implementation strategy for small CHP-plants in a competitive market: the case of Lithuania," Applied Energy, Elsevier, vol. 82(3), pages 214-227, November.
    9. Rech, Sergio & Toffolo, Andrea & Lazzaretto, Andrea, 2012. "TSO-STO: A two-step approach to the optimal operation of heat storage systems with variable temperature tanks," Energy, Elsevier, vol. 45(1), pages 366-374.
    10. Barbieri, Enrico Saverio & Melino, Francesco & Morini, Mirko, 2012. "Influence of the thermal energy storage on the profitability of micro-CHP systems for residential building applications," Applied Energy, Elsevier, vol. 97(C), pages 714-722.
    11. Cui, Mianshan, 2022. "District heating load prediction algorithm based on bidirectional long short-term memory network model," Energy, Elsevier, vol. 254(PA).
    12. Hwang, Jun Kwon & Yun, Geun Young & Lee, Sukho & Seo, Hyeongjoon & Santamouris, Mat, 2020. "Using deep learning approaches with variable selection process to predict the energy performance of a heating and cooling system," Renewable Energy, Elsevier, vol. 149(C), pages 1227-1245.
    13. Fragaki, Aikaterini & Andersen, Anders N. & Toke, David, 2008. "Exploration of economical sizing of gas engine and thermal store for combined heat and power plants in the UK," Energy, Elsevier, vol. 33(11), pages 1659-1670.
    14. Daniela Guericke & Ignacio Blanco & Juan M. Morales & Henrik Madsen, 2020. "A two-phase stochastic programming approach to biomass supply planning for combined heat and power plants," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 863-900, December.
    15. Kumbartzky, Nadine & Schacht, Matthias & Schulz, Katrin & Werners, Brigitte, 2017. "Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market," European Journal of Operational Research, Elsevier, vol. 261(1), pages 390-404.
    16. Campos Celador, A. & Erkoreka, A. & Martin Escudero, K. & Sala, J.M., 2011. "Feasibility of small-scale gas engine-based residential cogeneration in Spain," Energy Policy, Elsevier, vol. 39(6), pages 3813-3821, June.
    17. 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.
    18. González-Pino, I. & Pérez-Iribarren, E. & Campos-Celador, A. & Terés-Zubiaga, J., 2020. "Analysis of the integration of micro-cogeneration units in space heating and domestic hot water plants," Energy, Elsevier, vol. 200(C).
    19. Poplavskaya, Ksenia & Lago, Jesus & de Vries, Laurens, 2020. "Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets," Applied Energy, Elsevier, vol. 270(C).
    20. Ruan, Yingjun & Liu, Qingrong & Li, Zhengwei & Wu, Jiazheng, 2016. "Optimization and analysis of Building Combined Cooling, Heating and Power (BCHP) plants with chilled ice thermal storage system," Applied Energy, Elsevier, vol. 179(C), pages 738-754.

    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:eee:energy:v:235:y:2021:i:c:s036054422101673x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.