Modelling of Automated Store Energy Consumption

被引:0
|
作者
Gac, Konrad [1 ]
Gora, Grzegorz [1 ]
Petko, Maciej [1 ]
Iwaniec, Joanna [1 ]
Martowicz, Adam [1 ]
Kowalski, Artur [2 ]
Olabi, Abdul-Ghani
机构
[1] AGH Univ Krakow, Fac Mech Engn & Robot, Dept Robot & Mechatron, Al A Mickiewicza 30, PL-30059 Krakow, Poland
[2] Delfin SP ZOO SPK, ul Oswiecimska 52, PL-32651 Nowa Wies, Poland
关键词
automated store; modelling of energy consumption; environment and climate protection; PREDICTION; REGRESSION; REDUCTION;
D O I
10.3390/en16247969
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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 CO2 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 m2 amounted to approximately 38.4 MWh, while for an automated store of an area of 9 m2 and a comparable product range, the electricity consumption was approximately 10.1 MWh, i.e., 74% smaller.
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页数:23
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