Modelling of energy use and greenhouse gas emissions from a quick service restaurant
Conference paper
Eid, E., Foster, A., Alvarez, G., Campbell, R. and Evans, J. (2024). Modelling of energy use and greenhouse gas emissions from a quick service restaurant. 2024 8th IIR International Conference on Sustainability and the Cold Chain. Tokyo, Japan 09 Jun - 11 Jul 2024 International Institute of Refrigeration. https://doi.org/10.18462/iir.iccc2024.1008
Authors | Eid, E., Foster, A., Alvarez, G., Campbell, R. and Evans, J. |
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Type | Conference paper |
Abstract | Efficient refrigeration and cooking equipment and other innovating technologies in the food service sector need to be considered to reduce energy use and greenhouse gas emissions. In quick service restaurants (QSRs), there is a strong interaction between the structure, internal machinery, customers, and the store HVAC system. The impact of these interactions was modelled using EnergyPlus in a UK-based QSR, validating results against other research studies. It explored the effects of applying carbon saving technologies and predicted climate change impacts and grid conversion factors from 2020 to 2050. Findings revealed that among the individual technologies applied, enhanced efficiency of 20% in refrigeration and kitchen equipment gave the most favourable outcome, contributing to a 15.6% reduction in carbon emissions. Results also showed that combining technologies could achieve 39.7% savings in carbon emissions while predicted changes in electrical carbon factors could potentially yield 98.5% reduction in carbon emissions between 2020 and 2050. |
Keywords | Refrigeration, Food service, Mathematical model, EnergyPlus, Energy use, Greenhouse gas emissions |
Year | 2024 |
Publisher | International Institute of Refrigeration |
Digital Object Identifier (DOI) | https://doi.org/10.18462/iir.iccc2024.1008 |
Web address (URL) | https://biz.knt.co.jp/tour/2024/iccc2024/index.html |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
10 Jun 2024 | |
Publication process dates | |
Accepted | Mar 2024 |
Deposited | 30 Jul 2024 |
https://openresearch.lsbu.ac.uk/item/97q37
Restricted files
Accepted author manuscript
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