Investigation of thermal energy storage system based on mining by-products for the recovery of Moroccan mining industrial waste heat

El Kouihen, Fadila; Filali Baba, Yousra; AitOusaleh, Hanane; Elharrak, Abdechafik; Elalami, Khadija; Bennouna, Elghali; Faik, Abdessamad

doi:10.1016/j.applthermaleng.2023.120708

Cited by 15 publications

(2 citation statements)

References 23 publications

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“…Various types of models have been developed to investigate different aspects of THS. In the recent literature, software tools employed for numerical studies on THS include Ansys CFX [8], Ansys Fluent [27,46,47], Aspen Hysys [144], COMSOL [79], COMSOL Multiphysics [49,70,127], TRNSYS [42,147], NEST [19], EBSILON [72], and Star-CCM+ [47].…”

Section: Optimization Of Thermocline Heat Storage System Numerical Modelmentioning

confidence: 99%

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New Advances in Materials, Applications, and Design Optimization of Thermocline Heat Storage: Comprehensive Review

Zhang,

Guo,

Zhu

et al. 2024

Energies

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To achieve sustainable development goals and meet the demand for clean and efficient energy utilization, it is imperative to advance the penetration of renewable energy in various sectors. Energy storage systems can mitigate the intermittent issues of renewable energy and enhance the efficiency and economic viability of existing energy facilities. Among various energy storage technologies, thermocline heat storage (THS) has garnered widespread attention from researchers due to its stability and economic advantages. Currently, there are only a few review articles focusing on THS, and there is a gap in the literature regarding the optimization design of THS systems. Therefore, this paper provides a comprehensive review of the recent research progress in THS, elucidating its principles, thermal storage materials, applications, and optimization designs. The novelty of this work lies in the detailed classification and analysis of various optimization designs for THS, including tank shape, aspect ratio, inlet/outlet configuration, thermal energy storage materials arrangement, operating strategies, and numerical model optimization approaches. The limitations of existing research are also identified, and future perspectives are proposed, aiming to provide recommendations for THS research and contribute to the development and promotion of THS technology.

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Section: Optimization Of Thermocline Heat Storage System Numerical Modelmentioning

confidence: 99%

“…El Kouihen et al systematically studied the potential application of a mining byproduct (Porcellanite) as a TESM for recovering waste heat in mining operations [72]. They conducted comprehensive experimental characterizations, including chemical and structural composition, thermophysical properties, mechanical behavior, and durability testing.…”

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confidence: 99%

New Advances in Materials, Applications, and Design Optimization of Thermocline Heat Storage: Comprehensive Review

Zhang,

Guo,

Zhu

et al. 2024

Energies

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Numerical analysis of demolition waste‐based thermal energy storage system for concentrated solar power plants

Koçak,

Paksoy

2024

Energy Storage

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Thermal energy storage (TES) is an enabling system that provides uninterrupted energy from concentrated solar power (CSP) plants. Packed‐bed TES systems have great opportunity to significantly enhance the cost‐effectiveness, efficiency, and sustainability of CSP plants by employing an affordable and sustainable packing material. The objective of this study is to design a demolition waste‐based packed bed TES system with a maximum storage capacity of 40 kWh, specifically tailored to store heat within the temperature range of 290°C to 565°C using solar salt as heat transfer fluid (HTF), thereby making it suitable for integration into CSP plants. Performance and thermal behavior of demolition waste‐based packed‐bed TES system was assessed through numerical analysis. The results demonstrate that a high discharging efficiency of 76.0% was achieved when the HTF flow rate was set at 100 kgh−1. However, it is important to note that at lower HTF flow rate, heat loss increases, leading to a decrease in discharging efficiency to 70%. The experiment also revealed a uniform thermal gradient within the packed‐bed TES system, up to a fluid flow rate of 300 kgh−1. It is worth mentioning that lower flow rates can further improve the stratification effect; however, they may also result in increased heat loss and reduced storage capacity. Based on these findings, an optimal flow rate range of 100 to 200 kgh−1 is recommended to achieve the best performance for the packed‐bed TES system.

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Power prediction and packed bed heat storage control for marine diesel engine waste heat recovery

Ouyang,

Pan,

Tan

et al. 2024

Applied Energy

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Investigation of thermal energy storage system based on mining by-products for the recovery of Moroccan mining industrial waste heat

Cited by 15 publications

References 23 publications

New Advances in Materials, Applications, and Design Optimization of Thermocline Heat Storage: Comprehensive Review

New Advances in Materials, Applications, and Design Optimization of Thermocline Heat Storage: Comprehensive Review

Numerical analysis of demolition waste‐based thermal energy storage system for concentrated solar power plants

Power prediction and packed bed heat storage control for marine diesel engine waste heat recovery

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