Modelling of Automated Store Energy Consumption

Konrad Gac, Grzegorz Góra, Maciej Petko, Joanna Iwaniec (), Adam Martowicz and Artur Kowalski
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Konrad Gac: Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
Grzegorz Góra: Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
Maciej Petko: Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
Joanna Iwaniec: Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
Adam Martowicz: Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
Artur Kowalski: Delfin SP. Z O. O. SP.K., ul. Oświęcimska 52, 32-651 Nowa Wies, Poland

Energies, 2023, vol. 16, issue 24, 1-23

Abstract: Over the last decade, a constantly growing trend of the popularization of self-service automated stores has been observed. Vending machines have been expanded into fully automated stores, the offer of which is comparable to small, conventional stores. One of the basic reasons for the popularization of modern automated stores is the reduction in a store’s energy consumption while ensuring a comparable range of products offered. The research into possibilities of reducing greenhouse gases emission is important in terms of the environment and climate protection. The research presented in the paper concerns the development of a model for determining electricity consumption, operating costs and CO 2 emission of an automated store designed and developed by Delfin company. In the developed model, the potential location of the store, prevailing climatic conditions and expected product sales are taken into account. Estimated energy demand for the store is the information of key importance for the potential investors and the manufacturer of the automated store. It is worth emphasizing that the average annual electrical energy consumption evaluated for a grocery store of an area of 70 m 2 amounted to approximately 38.4 MWh, while for an automated store of an area of 9 m 2 and a comparable product range, the electricity consumption was approximately 10.1 MWh, i.e., 74% smaller.

Keywords: automated store; modelling of energy consumption; environment and climate protection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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