Specific energy consumption values for various refrigerated food cold stores

Evans, Judith; Foster, A; Huet, J M; Reinholdt, Lars; Fikiin, Kostadin; Zilio, Claudio; Houška, Milan; Landfeld, A.; Bond, C; Scheurs, M; Sambeeck, T. W. M. Van

doi:10.1016/j.enbuild.2013.11.075

Cited by 93 publications

(31 citation statements)

References 2 publications

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“…The energy consumption in the cold chain would also be further reduced by adopting the more advanced refrigeration and preservation technologies [37][38][39].…”

Section: Discussionmentioning

confidence: 99%

Energy Conservation Potential Assessment Method for Table Grapes Supply Chain

Xiao

Zhang

et al. 2018

Sustainability

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Abstract:Energy consumption is one of the most crucial issues in the table grapes supply chain. However, the potential for energy conservation assessment is still limited because of the complexity of the process. The aim of this paper is to propose an energy conservation potential assessment method in order to increase energy consumption transparency and help managers take appropriate energy conservation measures to reduce the energy consumption in the table grapes supply chain. The conservation potential assessment in three kinds of the supply chain modes (the normal chain, the cold insulation chain and the cold chain), were realized by integrating the actual energy consumption investigated with the unified energy consumption per unit energy factor that represents the energy consumption throughout the entire product lifecycle. According to the comprehensive analysis of the energy consumption compared with the energy conservation potential in actual supply chain of table grapes, the proposed energy conservation potential assessment method could provide a unified method for evaluating the energy conservation potential in different supply chain mode of table grapes. The energy conversation potential in cold insulation chain, which was about 0.985, was the highest and that in cold chain, which was about 0.935, was the smallest. However, the cold chain was still the optimal supply chain for the table grapes because of the characteristics of the longest storage shelf life and the lowest quality decay, and the cold chain energy consumption would be further reduced by adopting the more advanced refrigeration and preservation technologies. The proposed energy conservation potential assessment method could be extended for other supply chain applications to evaluate their own energy conservation potential, and thus, reduce their energy consumption.

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“…The energy consumption in the cold chain would also be further reduced by adopting the more advanced refrigeration and preservation technologies [37][38][39].…”

Section: Discussionmentioning

confidence: 99%

Energy Conservation Potential Assessment Method for Table Grapes Supply Chain

Xiao

Zhang

et al. 2018

Sustainability

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show abstract

“…According to statistics, the current gross amount of cold stores is 118 million m 3 in the US [1], 60-70 million m 3 in Europe [2] and 160 million m 3 in China. However, the rapid expansion of the cold stores also brings some energy consumption problems.…”

Section: Introductionmentioning

confidence: 99%

Effects of injection pressure on diesel sprays in constant injection mass condition

Lou

et al. 2017

Applied Thermal Engineering

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“…This was chosen as a typical chill store from a benchmarking survey of cold stores around the world (Evans et al 2014). A comparison was made of the transmission load when the walls were in shade (no solar effect).…”

Section: Effect Of Ambient Conditionsmentioning

confidence: 99%

“…The heat load through the door opening, Q do , was calculated using the sensible and latent heat exchange caused by mass flow of air during door opening and through the seals when the door was closed (15). The additional sensible heat of water vapour was ignored, as the specific moisture content is generally less than 1%.…”

Section: Hra Elmentioning

confidence: 99%

Reducing energy consumption in cold stores using a freely available mathematical model

Foster

Reinholdt

Brown

et al. 2016

Sustainable Cities and Society

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The ICE-E model is a user-friendly tool that allows cold store operators to predict the energy consumption of their stores as heat loads vary due to changes in ambient conditions and store usage patterns. Weather data and construction and usage details are used to predict heat load and refrigeration COP on an hourly basis over a whole year. The model was validated against the industry standard CoolPack model and the features of the models were compared. The ICE-E model is better suited to non-technical cold store users who may not know details such as U-values, air change rates, respiration rates, condensing and evaporating temperatures, and it has additional features such as the ability to change efficiencies of lights and fans. It can help users to identify which cold store features and operating parameters have the greatest impact on energy consumption, and assess the scope for measures aimed at reducing it.

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Specific energy consumption values for various refrigerated food cold stores

Cited by 93 publications

References 2 publications

Energy Conservation Potential Assessment Method for Table Grapes Supply Chain

Energy Conservation Potential Assessment Method for Table Grapes Supply Chain

Effects of injection pressure on diesel sprays in constant injection mass condition

Reducing energy consumption in cold stores using a freely available mathematical model

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