Principles of solar energy storage

Dimitriev, Oleg P.; Yoshida, Tsukasa; Sun, He

doi:10.1002/est2.96

Cited by 20 publications

(18 citation statements)

References 79 publications

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“…Energy storage, along with other energy difficulties such as energy resource development, energy conversion, and energy conservation, is one of the most globally critical energy strategies [14]. Energy storage helps close the gap between supply and demand [22].…”

Section: Different Means Of Storagementioning

confidence: 99%

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Electrochemical Cells and Storage Technologies to Increase Renewable Energy Share in Cold Climate Conditions—A Critical Assessment

2022

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The energy efficiency of a renewable energy system is inextricably linked to the energy storage technologies used in conjunction with it. The most extensively utilized energy storage technology for all purposes is electrochemical storage batteries, which have grown more popular over time because of their extended life, high working voltage, and low self-discharge rate. However, these batteries cannot withstand the very low temperatures encountered in cold regions, even with these very promising technical characteristics. The cold northern temperatures affect the batteries’ electromotive force and thus decrease their storage capacity. In addition, they affect the conductivity of the electrolyte and the kinetics of electrochemical reactions, thus influencing the capacity and speed of electrons in the electrolyte. In this article, which is intended as a literature review, we first describe the technical characteristics of charge–discharge rate of different electrochemical storage techniques and their variations with temperature. Then, new approaches used to adapt these electrochemical storage techniques to cold climates are presented. We also conduct a comparative study between the different electrochemical storage techniques regarding their performance in the harsh climatic conditions of the Canadian North.

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Section: Different Means Of Storagementioning

confidence: 99%

“…The efficiency of green energy plants is thus effected by the efficiency of energy storage that could make them more competitive than traditional fossil energy technologies [13,14]. Indeed, energy storage in northern areas, subject to cold climates, remains problematic.…”

Section: Introductionmentioning

confidence: 99%

Electrochemical Cells and Storage Technologies to Increase Renewable Energy Share in Cold Climate Conditions—A Critical Assessment

2022

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“…More details about the photosynthetic microbial fuel cells and their integration with the conventional technology of the microbial fuel cell can be found in [154][155][156][157][158][159]. The photosynthesis can also be used for energy storage, as described in [160][161][162][163][164][165].…”

Section: Environmental Science Applicationsmentioning

confidence: 99%

Analysis of Photosynthetic Systems and Their Applications with Mathematical and Computational Models

2020

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In biological and life science applications, photosynthesis is an important process that involves the absorption and transformation of sunlight into chemical energy. During the photosynthesis process, the light photons are captured by the green chlorophyll pigments in their photosynthetic antennae and further funneled to the reaction center. One of the most important light harvesting complexes that are highly important in the study of photosynthesis is the membrane-attached Fenna–Matthews–Olson (FMO) complex found in the green sulfur bacteria. In this review, we discuss the mathematical formulations and computational modeling of some of the light harvesting complexes including FMO. The most recent research developments in the photosynthetic light harvesting complexes are thoroughly discussed. The theoretical background related to the spectral density, quantum coherence and density functional theory has been elaborated. Furthermore, details about the transfer and excitation of energy in different sites of the FMO complex along with other vital photosynthetic light harvesting complexes have also been provided. Finally, we conclude this review by providing the current and potential applications in environmental science, energy, health and medicine, where such mathematical and computational studies of the photosynthesis and the light harvesting complexes can be readily integrated.

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“…Energy storage systems are one of the promising technologies that can mitigate the fluctuation problem of renewable energy sources. 2 Cavern-based compressed air energy storage (CAES) technology is a type of energy storage that stores surplus energy of the grid in the form of high pressure compressed air in a cavern. It has been shown that this technology is a relatively large-scale energy storage type with high reliability, long service life, low construction cost, acceptable performance, and an environmental friendly one.…”

Section: Introductionmentioning

confidence: 99%

“…However, the intermittent nature and instability of renewable energy sources pose a significant challenge to large‐scale application of them. Energy storage systems are one of the promising technologies that can mitigate the fluctuation problem of renewable energy sources 2 . Cavern‐based compressed air energy storage (CAES) technology is a type of energy storage that stores surplus energy of the grid in the form of high pressure compressed air in a cavern.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a cavern‐based compressed air energy storage facility with an efficient adaptive genetic algorithm

et al. 2020

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Due to the dynamic interactions of the components of cavern-based compressed air energy storage plants, optimizing this system is challenging and a small change in the design parameters, such mass flow rate, compression ratio, expansion ratio can significantly alter the efficiency of the entire system. An adaptive genetic algorithm has been invoked to overcome this challenge, with system efficiency and exergy efficiency as the objective functions. The proposed method provides more flexibility to the optimization process; instead of using fixed rates for the mutation percentage, it is adjusted individually based on the feedback from both the intensity of a component's distributions in the design space and the relative objective function of that component in comparison to other components. The method is utilized for the efficiency optimization of an 80 MW plant with 9 of freedom. For performing the optimization process an automatic coupling between HYSYS and MATLAB was used. The proposed search algorithm discovered a significantly wider range of data by increasing the chance of design parameters relocation with efficient shifting of the searching domain. Outcomes indicated the merit of the algorithm by 6.4% increase in the efficiency of the plant as well as notably decreasing the number of objective function evaluations.

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Principles of solar energy storage

Cited by 20 publications

References 79 publications

Electrochemical Cells and Storage Technologies to Increase Renewable Energy Share in Cold Climate Conditions—A Critical Assessment

Electrochemical Cells and Storage Technologies to Increase Renewable Energy Share in Cold Climate Conditions—A Critical Assessment

Analysis of Photosynthetic Systems and Their Applications with Mathematical and Computational Models

Optimization of a cavern‐based compressed air energy storage facility with an efficient adaptive genetic algorithm

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