Thermodynamic analysis of a 200 MWh electricity storage system based on high temperature thermal energy storage

Attonaty, Kévin; Stouffs, Pascal; Pouvreau, Jérôme; Oriol, Jean; Deydier, Alexandre

doi:10.1016/j.energy.2019.01.153

Cited by 19 publications

(10 citation statements)

References 33 publications

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“…However, during the discharge phase, the pressure difference between the HT and the LT reservoir is used to entrain the expander (the turbine work is higher than the compressor energy use). It should be noted that the combination of an electrical heater and gas cycle has also been considered, but with rather low round-trip efficiencies (40-50%) [18].…”

Section: Braytonmentioning

confidence: 99%

“…In this case, heaters and coolers may be used to adjust machine outlet conditions. In this way, the heat generated by irreversibilities is discharged to the environment, and the storage may operate in a cyclic behaviour [18].…”

Section: Braytonmentioning

confidence: 99%

“…The definition in Eq. 8 may be used directly to calculate ε rt from the heat pump and heat engine thermodynamic cycles, as in [18,20], among others. However, it could be interesting to relate ε rt to heat pump and heat engine common performance indicators, such as COP hp and η he .…”

Section: Performance Indicatorsmentioning

confidence: 99%

See 2 more Smart Citations

Carnot battery technology: A state-of-the-art review

Dumont

Frate

Pillai

et al. 2020

Journal of Energy Storage

190

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Section: Braytonmentioning

confidence: 99%

Section: Braytonmentioning

confidence: 99%

See 1 more Smart Citation

Carnot battery technology: A state-of-the-art review

Dumont

Frate

Pillai

et al. 2020

Journal of Energy Storage

190

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“…Five hours were chosen for the duration of charging and discharging as this is a typical wind farm production time [39].…”

Section: Cycle Layout For Discharging the (Hot) Storagementioning

confidence: 99%

Preliminary prospects of a Carnot-battery based on a supercritical CO2 Brayton cycle

Rindt¹,

Hrdlička²,

Novotny³

2021

Preprint

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As part of the change towards a higher deployment of renewable energy sources, which naturally deliver energy intermittently, the need for energy storage systems is increasing. For compensation of disturbance in power production due to inter-day to seasonal weather changes, long-term energy storage is required. In the spectrum of storage systems, one out of a few geographically independent possibilities is the storage of electricity in heat, so-called Carnot-Batteries. This paper presents a Pumped Thermal Energy Storage (PTES) system based on a recuperated supercritical CO2 Brayton cycle. The modelled system provides a round-trip efficiency of 38.9%.

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“…In the heat exchanger, according to the conservation of energy, the thermal energy released Q a by the inlet hot air is equal to the thermal energy absorbed Q w by the outlet circulating water. Therefore, the relationship between the inlet hot air temperature and the outlet circulating water temperature is given in (10) [25].…”

Section: Heat Transfermentioning

confidence: 99%

Electricity Consumption Prediction of Solid Electric Thermal Storage with a Cyber–Physical Approach

Yang

Wang

et al. 2019

Energies

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This paper proposes a cyber-physical approach to enhance the prediction accuracy of electricity consumption of solid electric thermal storage (SETS) system, which integrates a physical model and a data-based cyber model. In the cyber-physical model, the prediction error of the physical model is used as an input of the cyber model to further calibrate the prediction error. Firstly, customers' behavior characteristics are extracted by the integration of K-means and one-versus-one support vector machine. Secondly, based on the behavior characteristics and ambient temperature, the physical model is developed to predict daily electricity consumption. Finally, the error levels of physical model are classified, together with the temperature and prediction values of the physical model, are selected as the inputs of the cyber model using the back propagation (BP) neural network to calibrate the results of the physical model. The effectiveness of the proposed cyber-physical model (CPM) is verified by a 1 MW SETS system. The simulation results show that, compared with the physical model (PM) and cyber model (CM), the maximum relative errors (MRE) with the CPM are reduced to 25.4% and 4.8%, respectively.Energies 2019, 12, 4744 2 of 18 forced-air electric furnaces is built to predict the thermal energy storage, which is an early application of SETS [5]. This work does not take into account the effect of continuously changing the ambient temperature on thermal energy storage. A PM is integrated into the TRNSYS calculation tool to evaluate the optimal thermal energy storage of forced-air electric furnaces with changing ambient temperature [6]. Therefore, it is necessary to improve the basis of the existing methods, and enhance the prediction accuracy. However, the customers' behavior characteristics of SETS are not considered in the above-mentioned PMs, which is very important to improve the accuracy of prediction.In [7], a sparse continuous conditional random fields method was proposed to predict electric load with the identification of behavior. The data from advanced metering infrastructure is used to understand the power consumption patterns to improve the load forecasting accuracy in [8].The prediction accuracy would be significantly enhanced with the consideration of behavior. However, the working mode of SETS are completely different from those of conventional electric loads [9]. SETS is charged by the off-peak electricity, and its thermal energy is released all-day. During the off-peak hours, usually from 21:00 to 6:00, the heating elements quickly heat the dense bricks to a high temperature owning to its cheaper electricity prices. During the peak period from 6:00 to 21:00, the heating elements are switched off, and SETS continues to release its thermal energy to warm the rooms. Many behavior characteristics of SETS directly affect the heat load demand, such as all-day continuous work (e.g., convenience store), and holiday and non-holiday period (e.g., star hotel), which need to be considered. The conventional models o...

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Thermodynamic analysis of a 200 MWh electricity storage system based on high temperature thermal energy storage

Cited by 19 publications

References 33 publications

Carnot battery technology: A state-of-the-art review

Carnot battery technology: A state-of-the-art review

Preliminary prospects of a Carnot-battery based on a supercritical CO2 Brayton cycle

Electricity Consumption Prediction of Solid Electric Thermal Storage with a Cyber–Physical Approach

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Thermodynamic analysis of a 200 MWh electricity storage system based on high temperature thermal energy storage

Cited by 19 publications

References 33 publications

Carnot battery technology: A state-of-the-art review

Carnot battery technology: A state-of-the-art review

Preliminary prospects of a Carnot-battery based on a supercritical CO2 Brayton cycle

Electricity Consumption Prediction of Solid Electric Thermal Storage with a Cyber–Physical Approach

Contact Info

Product

Resources

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Thermodynamic analysis of a 200 MWh electricity storage system based on high temperature thermal energy storage