Refrigeration Control Algorithm for Managing Supermarket’s Overall Peak Power Demand

Glavan, Miha; Gradišar, Dejan; Humar, Iztok; Vrančić, Damir

doi:10.1109/tcst.2018.2853739

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…Moreover, equipment is monitored by means of an application named "CM DASHBOARD". In [19], the authors justify that controlling the power consumption of a commercial refrigeration system results in reduction of overall peak demand and in turn reduces the energy cost. Temporary adjustments in refrigeration system energy demand can be performed by the implemented control approach considering the temperature limits of stored items and air.…”

Section: Energy Reduction Methodsmentioning

confidence: 99%

Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review

Nasir¹,

Bukhari

Raza³

et al. 2021

Mathematical Problems in Engineering

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The concept of smart grid was introduced a decade ago. Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy supply and demand and reduce the peak to average ratio (PAR), thus resulting in energy and economic efficiency ultimately. The application of DSM programs is lucrative for both utility and consumers. Utilities can implement DSM programs to improve the system power quality, power reliability, system efficiency, and energy efficiency, while consumers can experience energy savings, reduction in peak demand, and improvement of system load profile, and they can also maximize usage of renewable energy resources (RERs). In this paper, some of the strategies of DSM including peak shaving and load scheduling are highlighted. Furthermore, the implementation of numerous optimization techniques on DSM is reviewed.

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Section: Energy Reduction Methodsmentioning

confidence: 99%

Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review

Nasir¹,

Bukhari

Raza³

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The daily generating energy of a photovoltaic power station affects the power consumption of the local area [1][2][3], while the photovoltaic power generation has a relationship with environmental factors, such as sunshine duration, temperature, etc. Thus, the prediction of the generating energy helps the local power grid system to improve foreseeability and to create a proper generating schedule [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Improved Generating Energy Prediction Method Based on Bi-LSTM and Attention Mechanism

Zhang

et al. 2022

Electronics

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The energy generated by a photovoltaic power station is affected by environmental factors, and the prediction of the generating energy would be helpful for power grid scheduling. Recently, many power generation prediction models (PGPM) based on machine learning have been proposed, but few existing methods use the attention mechanism to improve the prediction accuracy of generating energy. In the paper, a PGPM based on the Bi-LSTM model and attention mechanism was proposed. Firstly, the environmental factors with respect to the generating energy were selected through the Pearson coefficient, and then the principle and implementation of the proposed PGPM were detailed. Finally, the performance of the proposed PGPM was evaluated through an actual data set collected from a photovoltaic power station in Suzhou, China. The experimental results showed that the prediction error of proposed PGPM was only 8.6 kWh, and the fitting accuracy was more than 0.99, which is better than existing methods.

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“…From 23% to as much as 80% of a supermarket's total consumption is a result of refrigeration needs [5,6]. Hence, refrigeration has a large potential for optimization, resulting in economic and energy savings [7,8]. The energy consumption of refrigerators can be reduced by the placement of doors on open display cases.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Power Usage of Anti-Sweat Heaters in Glass-Door Refrigerators According to the Dew Point

et al. 2022

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Putting glass doors on the display cases of refrigerators is one of the most efficient ways to reduce the energy consumption of supermarkets. However, the glass fogs up when opening the door because of the difference in air temperature inside and outside of the refrigerator, thereby obscuring the view. To defog the glass, anti-sweat heaters (ASHs) are used. In this paper, the power usage of ASHs according to changes in the dew point (DP) inside a supermarket were evaluated for two types of ASH, i.e., the door-frame ASH and the glass ASH. The evaluation was based on measurements of the condensation on the glass doors of vertical display cases, used for the preservation of frozen foodstuffs. A mathematical model of the correlation between the ASH’s power usage and the DP was developed and used for predicting the long-term energy savings. The savings were calculated based on the measured DPs inside the supermarket, which were extrapolated over a longer time period based on their correlation with the outside DPs. Regulating the door-frame ASH according to the DP resulted in an 84.6% reduction in energy consumption and a 90.1% reduction in the case of the glass ASH, compared to the current state. The correlation between the DPs inside and outside the supermarket served as a basis for the proposed implementation of the power usage regulation of the ASH according to the DP.

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Refrigeration Control Algorithm for Managing Supermarket’s Overall Peak Power Demand

Cited by 10 publications

References 15 publications

Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review

Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review

An Improved Generating Energy Prediction Method Based on Bi-LSTM and Attention Mechanism

Optimizing the Power Usage of Anti-Sweat Heaters in Glass-Door Refrigerators According to the Dew Point

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