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A comparative investigation of various greenhouse heating options using exergy analysis method

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  • Hepbasli, Arif

Abstract

This study deals with modeling and analyzing the performance of greenhouses from the power plant through the heating system to the greenhouse envelope using exergy analysis method, the so-called low exergy or LowEx approach, which has been and still being successfully used in sustainable buildings design, for the first time to the best of the author’s knowledge. For the heating applications, three options are studied with (i) a solar assisted vertical ground-source heat pump greenhouse heating system, (ii) a wood biomass boiler, and (iii) a natural gas boiler, which are driven by renewable and non-renewable energy sources. In this regard, two various greenhouses, the so-called small greenhouse and large greenhouse, considered have heat load rates of 4.15kW and 7.5MW with net floor areas of 11.5m2 and 7.5ha, respectively. The overall exergy efficiency values for Cases 1–3 (solar assisted vertical ground-source heat pump, natural gas boiler and wood biomass boiler) of the small greenhouse system decrease from 3.33% to 0.83%, 11.5% to 2.90% and 3.15% to 0.79% at varying reference state temperatures of 0 to 15°C while those for Cases 1 and 2 (wood biomass and natural gas boilers) of the large greenhouse system decrease from 2.74% to 0.11% and 4.75% to 0.18% at varying reference state temperatures of −10% to 15°C. The energetic renewability ratio values for Cases 1 and 3 of the small greenhouse as well as Case 1 of the large greenhouse are obtained to be 0.28, 0.69 and 0.39, while the corresponding exergetic renewability ratio values are found to be 0.02, 0.64 and 0.29, respectively.

Suggested Citation

  • Hepbasli, Arif, 2011. "A comparative investigation of various greenhouse heating options using exergy analysis method," Applied Energy, Elsevier, vol. 88(12), pages 4411-4423.
  • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:4411-4423
    DOI: 10.1016/j.apenergy.2011.05.022
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    6. Bouadila, Salwa & Kooli, Sami & Skouri, Safa & Lazaar, Mariem & Farhat, Abdelhamid, 2014. "Improvement of the greenhouse climate using a solar air heater with latent storage energy," Energy, Elsevier, vol. 64(C), pages 663-672.
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    8. 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).
    9. Ahn, Jonghoon & Cho, Soolyeon & Chung, Dae Hun, 2017. "Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands," Applied Energy, Elsevier, vol. 190(C), pages 222-231.
    10. Pérez-Alonso, J. & Pérez-García, M. & Pasamontes-Romera, M. & Callejón-Ferre, A.J., 2012. "Performance analysis and neural modelling of a greenhouse integrated photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4675-4685.
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