A study of novel high performance and energy dense zeolite composite materials for domestic interseasonal thermochemical energy storage

Mahon, Daniel; Claudio, Gianfranco; Eames, Philip C.

doi:10.1016/j.egypro.2019.01.763

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…(2009b), the authors also experienced that magnesium sulfate is unable to uptake water above 50 °C unless very high relative humidity is applied (~80% R.H). Magnesium sulfate has also been widely studied in composite salt in the matrix with numerous matrices to solve the agglomeration and stability issues (Whiting et al, 2014;Casey et al, 2014;Hongois et al, 2014;Posern et al, 2015;Xu et al, 2017;Sutton et al, 2018a;Xu et al, 2018;Wang et al, 2019a;Calabrese et al, 2019;Mahon et al, 2019;Miao et al, 2021).…”

Section: Magnesium Sulfatementioning

confidence: 99%

Water sorption-based thermochemical storage materials: A review from material candidates to manufacturing routes

Palacios¹,

Navarro²,

Barreneche³

et al. 2022

Front. Therm. Eng.

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A comprehensive and updated review is provided in this article, with a focus on water sorption-based thermochemical storage (WSTCS) materials, covering materials and their manufacturing routes. The state of the art of 22 most relevant salt hydrates is classified into seven groups (bromides, sulphates, carbonates, chlorides, nitrates, hydroxides, and sulphides) and studied as candidates. This is followed by a discussion on TCS material manufacturing, covering both conventional (shaping, pelletizing, etc.) and more advanced routes (e.g., extrusion, 3D printing, encapsulation, etc.). Finally, concluding remarks are presented, including limitations and future potentials for TCS research.

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Section: Magnesium Sulfatementioning

confidence: 99%

Water sorption-based thermochemical storage materials: A review from material candidates to manufacturing routes

Palacios¹,

Navarro²,

Barreneche³

et al. 2022

Front. Therm. Eng.

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“…Furthermore, the porous properties of the carrier increase the surface area of the composite adsorbent-these materials enhance the heat and mass transfer efficiency with increasing surface area [33]. Commonly used porous matrix (CSPM) include silica gel [34,35], zeolite [36,37] and expanded graphite [38]. Zeolites are porous materials with good water absorption capacity and the ability to function at high temperatures, thus forming excellent matrices for composite materials [39].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of LiCl/LiBr-Zeolite Composite Adsorbent for Thermochemical Heat Storage

Chen

et al. 2022

Buildings

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Adsorption-based thermochemical heat storage is a promising long-term energy storage technology that can be used for seasonal space heating, which has received significant amount of efforts on the research and development. In this paper, the heat storage capacity of composite adsorbents made by LiCl + LiBr salt and 3A zeolite was investigated. The basic characteristics of composite material groups were experimentally tested, and it was found that the adsorption composite with 15 wt% salt solution had excellent adsorption rate and adsorption capacity, which was considered as the optimal composite material. Furthermore, the heat storage density of the composite material could be as high as 585.3 J/g, which was 30.9% higher than that of pure zeolite. Using 3 kg of the composite material, the adsorption heat storage experiment was carried out using a lab-scale reactor. The effects of air velocity and relative humidity on the adsorption performance were investigated. It was found that a flow rate of 15 m3/h and a relative humidity of 70% led to the most released adsorption heat from the composite material, and 74.3% of energy discharge efficiency. Furthermore, an adsorption heat storage system and a residential model were built in the TRNSYS software to evaluate the building heating effect of such heat storage system. It is found that the ambient temperature will affect the heating effect of the adsorption heat storage system. The coefficient of performance (COP) of this model is as high as 6.67. Compared with the gas boiler heating system, the adsorption heat storage energy can replace part of the gas consumption to achieve energy savings.

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“…Renewable energy deployment is often applied in conjunction with Thermal Energy Storage (TES) to balance the energy between production and demand, e.g., storing summer heat for winter heating. Chemical and sorption TES have been identified as promising technologies to solve the seasonal mismatch of solar energy storage [1] offering high energy densities around 600 kW • h • m −3 and 200 kW • h • m −3 , respectively, [2]. Despite their high energy densities, chemical and sorption TES suffer from their low technology readiness level (typically two to three), which justifies the intensive research on this topic that has occurred in the last ten years [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Chemical and sorption TES have been identified as promising technologies to solve the seasonal mismatch of solar energy storage [1] offering high energy densities around 600 kW • h • m −3 and 200 kW • h • m −3 , respectively, [2]. Despite their high energy densities, chemical and sorption TES suffer from their low technology readiness level (typically two to three), which justifies the intensive research on this topic that has occurred in the last ten years [1][2][3][4][5][6][7][8]. The main scientific bottlenecks are in the improvement of the heat and mass transfer in the TES during hydration and to provide a better integration of the TES within the system to increase the overall efficiency.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Simulation of Energetic Performance for Sorption Thermal Energy Storage Reactors

et al. 2021

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Sorption thermal heat storage is a promising solution to improve the development of renewable energies and to promote a rational use of energy both for industry and households. These systems store thermal energy through physico-chemical sorption/desorption reactions that are also termed hydration/dehydration. Their introduction to the market requires to assess their energy performances, usually analysed by numerical simulation of the overall system. To address this, physical models are commonly developed and used. However, simulation based on such models are time-consuming which does not allow their use for yearly simulations. Artificial neural network (ANN)-based models, which are known for their computational efficiency, may overcome this issue. Therefore, the main objective of this study is to investigate the use of an ANN model to simulate a sorption heat storage system, instead of using a physical model. The neural network is trained using experimental results in order to evaluate this approach on actual systems. By using a recurrent neural network (RNN) and the Deep Learning Toolbox in MATLAB, a good accuracy is reached, and the predicted results are close to the experimental results. The root mean squared error for the prediction of the temperature difference during the thermal energy storage process is less than 3K for both hydration and dehydration, the maximal temperature difference being, respectively, about 90K and 40K.

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A study of novel high performance and energy dense zeolite composite materials for domestic interseasonal thermochemical energy storage

Cited by 11 publications

References 11 publications

Water sorption-based thermochemical storage materials: A review from material candidates to manufacturing routes

Water sorption-based thermochemical storage materials: A review from material candidates to manufacturing routes

Experimental Study of LiCl/LiBr-Zeolite Composite Adsorbent for Thermochemical Heat Storage

Artificial Neural Network Simulation of Energetic Performance for Sorption Thermal Energy Storage Reactors

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