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Analysis of Greenhouse Gas Emissions and Energy Consumption Depending on the Material and Construction Solutions and the Energy Carrier Used—A Case Study

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  • Grzegorz Nawalany

    (Department of Rural Building, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059 Krakow, Poland)

  • Paweł Sokołowski

    (Department of Rural Building, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059 Krakow, Poland)

  • Tomasz Jakubowski

    (Department of Machine Operation, Ergonomics and Production Processes, Faculty of Production and Power Engineering, University of Agriculture in Krakow, 30-059 Krakow, Poland)

  • Atilgan Atilgan

    (Department of Biosystems Engineering, Faculty of Engineering, Alanya Alaaddin Keykubat University, 07425 Alanya, Turkey)

Abstract

The article presents the results of research on the impact of material and construction solutions on energy demand and greenhouse gas emissions. Field research was conducted in an existing free-standing greenhouse located in southern Poland. The research period covered the entire calendar year. The measurement data were used in the next step to validate the computational model using the numerical method of elementary balances. The data distribution was also analyzed in terms of basic statistics. The validated and verified model was used in the further part of the analysis to conduct computer simulations for three variants, differing in terms of material and construction solutions. The variants included: no foundation insulation, extruded polystyrene (XPS) insulation and the use of single-chamber polycarbonate panels with thermal insulation of the foundations. The obtained results showed a high agreement between theoretical and real data (85–89% for the coefficient of determination (R 2 ) and 84–88% for the GOF method). In the case of variant 1, which in terms of material and construction solutions corresponded to the actual construction of the greenhouse, it was found that the annual energy demand for heating purposes amounted to 153,234 kWh/year. In variant 2, in which additional thermal insulation relative to the zero state was used, the energy demand for heating purposes was lower and amounted to 147,704 kWh/year. The lowest heat load was characteristic of variant 3, in which 116,294 kWh/year was required to cover heating needs. The variant with polycarbonate and foundation insulation brought energy savings of 24% and a reduction of CO 2 emissions by 24%. In addition, replacing fuel from hard coal with natural gas brought significant benefits, reducing pollutant emissions by 51%. The paper is a new approach to the use of the mentioned numerical method for the assessment of gaseous pollutant emissions in this type of building based on numerical simulations of energy consumption.

Suggested Citation

  • Grzegorz Nawalany & Paweł Sokołowski & Tomasz Jakubowski & Atilgan Atilgan, 2024. "Analysis of Greenhouse Gas Emissions and Energy Consumption Depending on the Material and Construction Solutions and the Energy Carrier Used—A Case Study," Energies, MDPI, vol. 17(24), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6460-:d:1549785
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    References listed on IDEAS

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    1. Robaina-Alves, Margarita & Moutinho, Victor, 2014. "Decomposition of energy-related GHG emissions in agriculture over 1995–2008 for European countries," Applied Energy, Elsevier, vol. 114(C), pages 949-957.
    2. Sachs, Julia & Moya, Diego & Giarola, Sara & Hawkes, Adam, 2019. "Clustered spatially and temporally resolved global heat and cooling energy demand in the residential sector," Applied Energy, Elsevier, vol. 250(C), pages 48-62.
    3. Matthias Pazold & Jan Radon & Matthias Kersken & Hartwig Künzel & Florian Antretter & Herbert Sinnesbichler, 2023. "Development and Verification of Novel Building Integrated Thermal Storage System Models," Energies, MDPI, vol. 16(6), pages 1-21, March.
    4. Moomaw, William R, 1996. "Industrial emissions of greenhouse gases," Energy Policy, Elsevier, vol. 24(10-11), pages 951-968.
    5. 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).
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