Highly Efficient Thermal Energy Storage Using a Hybrid Hypercrosslinked Polymer**

Liu, Changhui; Zhang, Jiahao; Liu, Jian; Tan, Zengyi; Cao, Yuqi; Li, Xia; Rao, Zhonghao

doi:10.1002/ange.202103186

Cited by 12 publications

(7 citation statements)

References 61 publications

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“…Due to the significant increase in global energy demand, traditional energy is facing great challenges such as a lack of resources and environmental pollution (Kumari and Toshniwal, 2021), finding new energy substitutes and improving energy conversion efficiency are the important work of researchers at present (Liu et al, 2021a). Making full use of solar energy is of great significance in reducing fossil energy consumption (Liu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Ultra-short-term PV power prediction using optimal ELM and improved variational mode decomposition

Wang

Lin

2023

Front. Energy Res.

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The development of photovoltaic (PV) power forecast technology that is accurate is of utmost importance for ensuring the reliability and cost-effective functioning of the power system. However, meteorological factors make solar energy have strong intermittent and random fluctuation characteristics, which brings challenges to photovoltaic power prediction. This work proposes, a new ultra-short-term PV power prediction technology using an improved sparrow search algorithm (ISSA) to optimize the key parameters of variational mode decomposition (VMD) and extreme learning machine (ELM). ISSA’s global search capability is enhanced by levy flight and logical chaotic mapping to search the optimal number of decomposition and penalty factor of VMD, and VMD adaptively decomposes PV power into sub-sequences with different center frequencies. Then ISSA is used to optimize the initial weight and threshold of ELM to improve the prediction performance of ELM, the optimized ELM predicts each subsequence and reconstructs the prediction results of each component to obtain the final result. Furthermore, isolated forest (IF) and Spearman correlation coefficient (SCC) are respectively used in the data preprocessing stage to eliminate outliers in the original data and determine appropriate input features. The prediction results using the actual data of solar power plants show that the proposed model can effectively mine the key information in the historical data to make more accurate predictions, and has good robustness to various weather conditions.

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Section: Introductionmentioning

confidence: 99%

Ultra-short-term PV power prediction using optimal ELM and improved variational mode decomposition

Wang

Lin

2023

Front. Energy Res.

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“…Aerogels have attracted increasing interest from academia and industry over the past 20 years. With the dramatically increased thermal energy storage demand in recent years, aerogels have been considered promising alternatives to efficiently encapsulate PCMs and rationalize phase transformation behavior. − The marriage of versatile aerogels and PCMs is a milestone in pioneering advanced multifunctional composite PCMs.…”

Section: Introductionmentioning

confidence: 99%

Aerogels Meet Phase Change Materials: Fundamentals, Advances, and Beyond

et al. 2022

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Benefiting from the inherent properties of ultralight weight, ultrahigh porosity, ultrahigh specific surface area, adjustable thermal/electrical conductivities, and mechanical flexibility, aerogels are considered ideal supporting alternatives to efficiently encapsulate phase change materials (PCMs) and rationalize phase transformation behaviors. The marriage of versatile aerogels and PCMs is a milestone in pioneering advanced multifunctional composite PCMs. Emerging aerogel-based composite PCMs with high energy storage density are accepted as a cutting-edge thermal energy storage (TES) concept, enabling advanced functionality of PCMs. Considering the lack of a timely and comprehensive review on aerogel-based composite PCMs, herein, we systematically retrospect the state-of-the-art advances of versatile aerogels for high-performance and multifunctional composite PCMs, with particular emphasis on advanced multiple functions, such as acoustic−thermal and solar−thermal−electricity energy conversion strategies, mechanical flexibility, flame retardancy, shape memory, intelligent grippers, and thermal infrared stealth. Emphasis is also given to the versatile roles of different aerogels in composite PCMs and the relationships between their architectures and thermophysical properties. This review also showcases the discovery of an interdisciplinary research field combining aerogels and 3D printing technology, which will contribute to pioneering cutting-edge PCMs. This review aims to arouse wider research interests among interdisciplinary fields and provide insightful guidance for the rational design of advanced multifunctional aerogel-based composite PCMs, thus facilitating the significant breakthroughs in both fundamental research and commercial applications.

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“…In response to the above critical issue, recently, an efficient solution based on solid-liquid phase change materials (PCMs) has been proposed which can regulate the temperature passively by utilizing large phase transition enthalpy of PCMs during the reversible crystalline-amorphous process ( Hyun et al., 2014 ; Liu et al., 2021a ; Velasco et al., 2021 ). Although PCMs can perform effective thermal regulation in various scenarios by absorbing and releasing thermal energy in the form of latent heat during the phase transition process, liquid PCMs are easy to flow, which restricts their widespread applications ( Amaral et al., 2017 ; Chen et al., 2020g ; Dai et al., 2021 ; Liu et al., 2021c ; Saffari et al., 2017 ).…”

Section: Introductionmentioning

confidence: 99%