Numerical investigations of long-term thermal performance of a large water pit heat storage

Xie, Zichan; Xiang, Yutong; Wang, Dengjia; Kusyy, Oleg; Kong, Weiqiang; Furbo, Simon; Fan, Jianhua

doi:10.1016/j.solener.2021.06.027

Cited by 28 publications

(2 citation statements)

References 35 publications

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“…The lower costs for central units are caused by decreasing specific investments with increasing dimensions [2]. Control strategy [16] Validation [17] Efficiency [18] PTES structure optimization [19] Model development [17] [20] COMSOL Not available PTES Validation [21] PTES structure optimization [22] Stratification model [21] [23]…”

Section: State-of-the-artmentioning

confidence: 99%

Utilizing Historical Operating Data to Increase Accuracy for Optimal Seasonal Storage Integration and Planning

Sporleder

Rath

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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Policies reasoned by global climate change and increasing commodity prices due to the international energy crisis force district heating providers to transform their assets. Pit thermal energy storage combined with solar energy can improve this transformation process. Optimal energy planning of district heating systems is often achieved by applying a linear programming model due to its fast computing. Unfortunately, depicting those systems in linear programming requires complexity reduction. We introduce a method capable of designing and operating the system with the complexity increase of considering the top and bottom temperatures of the pit thermal energy storage in linear programming. Firstly, we extract and clean data from existing sites and simulations of seasonal storages. Secondly, we develop a polynomial regression model based on the extracted data to predict the top and bottom temperatures. Lastly, we develop a mixed-integer linear programming model using the predictions and compare it to existing sites. The model uses solar thermal energy, a pit thermal energy storage, and other units to meet the demand of a district heating system. The polynomial regression results show an accuracy of up to 92 % with only a few features to base the prediction. The optimization model can design the storage and depict the correlation between decreasing specific costs and thermal losses due to an increasing volume. The control strategy of the heat pump requires further improvement.

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Section: State-of-the-artmentioning

confidence: 99%

Utilizing Historical Operating Data to Increase Accuracy for Optimal Seasonal Storage Integration and Planning

Sporleder

Rath

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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“…Renaldi et al [19] used calculations in TRNSYS for techno-economic analysis of a solar thermal system with seasonal heat storage in the UK. TRNSYS can also be used to simulate the operation of systems with different types of heat stores, such as BTES [20][21][22], TTES [23,24], ATES [25] and PTES [26].…”

Section: Introductionmentioning

confidence: 99%

Solar Heating for Pit Thermal Energy Storage – Comparison of Solar Thermal and Photovoltaic Systems in TRNSYS 18

Słomczyńska¹,

Mirek²,

Panowski³

2022

Adv. Sci. Technol. Res. J.

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Solar collectors and photovoltaic panels are devices widely used for heating water for both heating and domestic purposes. Due to the variable nature of solar radiation, it is advisable to include in solar energy-based systems thermal storages that accumulate energy at times of overproduction and discharge it at times of demand. In this paper, we present the results of simulation research to compare the possibility of two different charging systems for a 24000 m 3 seasonal pit thermal energy storage. The first uses electricity generated by photovoltaic panels and converted to heat in an electrode boiler to charge the heat store. The second is utilising a solar collector for this purpose. Based on the simulation calculations carried out in TRNSYS 18, it can be concluded that, from an investment perspective, a system based on solar collectors is more cost-effective. In addition, the installation takes up less space compared to a photovoltaic panel farm.

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The impact of large-scale thermal energy storage in the energy system

Sifnaios,

Sneum,

Jensen

et al. 2023

Applied Energy

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Numerical investigations of long-term thermal performance of a large water pit heat storage

Cited by 28 publications

References 35 publications

Utilizing Historical Operating Data to Increase Accuracy for Optimal Seasonal Storage Integration and Planning

Utilizing Historical Operating Data to Increase Accuracy for Optimal Seasonal Storage Integration and Planning

Solar Heating for Pit Thermal Energy Storage – Comparison of Solar Thermal and Photovoltaic Systems in TRNSYS 18

The impact of large-scale thermal energy storage in the energy system

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