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<p>The search for sustainable energy solutions has become urgent against the current energy crisis and increasing environmental pollution. Biomass energy conversion and utilization technology, a clean and renewable energy source, constantly evolves, particularly in biomass power generation technology. This technology can effectively reduce greenhouse gas emissions and dependence on fossil fuels. Biomass conversion and utilization techniques include combustion, gasification, and biochemical methods that generate different energy forms, including heat, electricity, and fuel. Developing these technologies provides strong technical support for optimizing energy structures and protecting the environment. The article explores the application of biopower technology in intelligent energy management of electricity and improves its efficiency. The efficiency of biopower technology and its influencing factors were investigated using the Data Envelopment Analysis (DEA) model and Tobit regression analysis. A study was conducted on ten biopower energy companies. The energy management efficiency score of 1 was present in six of these companies, suggesting a relatively high operational efficiency level. Company C has a super-efficiency value of 2.654, indicating its outstanding energy management efficiency. Factors such as human resource input, total investment, and annual production costs significantly affect energy management efficiency. By optimizing resource allocation and improving management efficiency, biopower technology can be applied more effectively to intelligent energy management, thus promoting sustainable development.</p>
</abstract>

The search for sustainable energy solutions has become urgent against the current energy crisis and increasing environmental pollution. Biomass energy conversion and utilization technology, a clean and renewable energy source, constantly evolves, particularly in biomass power generation technology. This technology can effectively reduce greenhouse gas emissions and dependence on fossil fuels. Biomass conversion and utilization techniques include combustion, gasification, and biochemical methods that generate different energy forms, including heat, electricity, and fuel. Developing these technologies provides strong technical support for optimizing energy structures and protecting the environment. The article explores the application of biopower technology in intelligent energy management of electricity and improves its efficiency. The efficiency of biopower technology and its influencing factors were investigated using the Data Envelopment Analysis (DEA) model and Tobit regression analysis. A study was conducted on ten biopower energy companies. The energy management efficiency score of 1 was present in six of these companies, suggesting a relatively high operational efficiency level. Company C has a super-efficiency value of 2.654, indicating its outstanding energy management efficiency. Factors such as human resource input, total investment, and annual production costs significantly affect energy management efficiency. By optimizing resource allocation and improving management efficiency, biopower technology can be applied more effectively to intelligent energy management, thus promoting sustainable development.

Smart Energy Management Construction of Electric Power with Application of Bioelectricity Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The search for sustainable energy solutions has become urgent against the current energy crisis and increasing environmental pollution. Biomass energy...

Smart Energy Management Construction of Electric Power with Application of Bioelectricity Technology

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 19. Apr. 2024

Akzeptiert: 26. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0857

Schlüsselwörter
Biopower technology, Intelligent energy management, Data envelopment analysis (DEA), Management efficiency

© 2024 Yangbo Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Smart Energy Management Construction of Electric Power with Application of Bioelectricity Technology

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 19. Apr. 2024

Akzeptiert: 26. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0857

SchlüsselwörterBiopower technology, Intelligent energy management, Data envelopment analysis (DEA), Management efficiency

© 2024 Yangbo Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Biopower technology, Intelligent energy management, Data envelopment analysis (DEA), Management efficiency