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Academic Journal of Energy, 2022, 3(4); doi: 10.38007/RE.2022.030404.

System Integration and Method for High-Efficiency Utilization of Solar Energy and Biomass Energy Thermochemically Based on Deep Learning


Manoen Kautish

Corresponding Author:
Manoen Kautish

Universiti Teknologi MARA, Malaysia


As the excessive use of traditional energy has led to environmental pollution and energy crisis, solar energy, as a clean and renewable energy, has been widely used all over the world because of its renewability, non-polluting and widespread distribution focus on. Solar energy is an important energy source that can effectively replace traditional energy, but due to high volatility and other reasons, it needs to be combined with a heat storage system to achieve sustainable and stable applications. The purpose of this paper is to analyze the thermochemical complementary characteristics of solar energy and biomass energy based on deep learning based on the integration of systems and methods for efficient utilization of solar energy and biomass energy. The basic physical properties such as the calorific value of the biomass samples were determined by the rice straw and corn straw.


Deep Learning, Solar Energy and Biomass Energy, Thermochemical Complementary Utilization, System Integration and Methods

Cite This Paper

Manoen Kautish. System Integration and Method for High-Efficiency Utilization of Solar Energy and Biomass Energy Thermochemically Based on Deep Learning. Academic Journal of Energy (2022), Vol. 3, Issue 4: 33-41. https://doi.org/10.38007/RE.2022.030404.


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