Energy-economy-environment nexus in China: The role of renewable energies toward carbon neutrality

Raihan, Asif; Mainul Bari, A.B.M.

doi:10.1016/j.igd.2024.100139

Cited by 35 publications

(2 citation statements)

References 124 publications

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“…This optimization process led to a 10.8% improvement in the goodness of fit of the optimized model compared to the initial model. (2) The study utilized the data model to analyze the AGC variable load process, revealing several important findings. Specifically, it was observed that the generation power response rate during load rising process was slightly higher than during load reduction process.…”

Section: Discussionmentioning

confidence: 99%

“…The adoption of the "peak carbon and carbon neutral" objective during the 75th session of the United Nations General Assembly and subsequent reaffirmations at the World Summit on Climate Ambition have established a global commitment to reducing carbon emissions [1]. Projections indicate that by 2030 there will be a minimum 65 percent reduction in global carbon dioxide emissions per unit of GDP compared to 2005 levels, with non-fossil fuels comprising at least 25 percent of primary energy consumption [2]. This transition will involve wind, solar, and other emerging energy sources contributing to a total installed capacity of 1.2 billion kilowatts worldwide [3].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Load Command for a Coal-Fired Power Unit via Particle Swarm Optimization–Long Short-Term Memory Model

Hao,

Yang,

Chen

et al. 2024

Energies

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This study addresses the challenges faced by coal-fired power plants in adapting to energy fluctuations following the integration of renewable energy sources into the power grid. The flexible operation of thermal power plants has become a focal point in academic research. A numerical model of a coal-fired power plant was developed in this study using the Long Short-Term Memory (LSTM) algorithm and the Particle Swarm Optimization (PSO) algorithm based on actual operation data analysis. The combined PSO-LSTM approach improved the accuracy of the model by optimizing parameters. Validation of the model was performed using a Dymola physical simulation model, demonstrating that the PSO-LSTM coupled numerical model accurately simulates coal-fired power plant operations with a goodness of fit reaching 0.998. Overall system performance for comprehensively evaluating the rate and accuracy of unit operation is proposed. Furthermore, the model’s capability to simulate the load variation process of automatic generation control (AGC) under different load command groups was assessed, aiding in optimizing the best load command group. Optimization experiments show that the performance index of output power is optimal within the experimental range when the set load starts and stops are the same and the power of load command γ = 1.8. Specifically, the 50–75% Turbine Heat Acceptance (THA) load rise process enhanced the overall system performance index by 55.1%, while the 75–50% THA load fall process improved the overall system performance index by 54.2%. These findings highlight the effectiveness of the PSO-LSTM approach in optimizing thermal power plant operations and enhancing system performance under varying load conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of the Load Command for a Coal-Fired Power Unit via Particle Swarm Optimization–Long Short-Term Memory Model

Hao,

Yang,

Chen

et al. 2024

Energies

View full text Add to dashboard Cite

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CSR from different perspectives: The global ESG indexes updated

Jiang,

Feng,

Wang

et al. 2024

Corp Soc Responsibility Env

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The prevailing environmental, social and governance (ESG) framework is currently based on micro‐ESG indicators. Research on national ESG is often limited to theory building and policy analysis. Based on previous scholars, this paper constructs a national ESG index framework consisting of 39 indices and updates the national ESG indices for 121 countries worldwide from 1990 to 2021 using the entropy weight method, aiming to provide a set of instrumental indices that capture the status and evolution of national ESG performance. The research findings are as follows: First, the Gini coefficient shows that the gap between national ESG performance has gradually widened over time. Second, the kernel density distribution suggests that global ESG performance is on the rise. High‐income countries are placing greater emphasis on ESG growth. Third, the results of the Markov transformation matrix suggest that there is a “club convergence” in ESG performance across countries.

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Exploring the link between inflation, tourism, trade, foreign direct investment, and renewable energy consumption: evidence from novel wavelet quantile correlation approach

Durani,

Anwar,

Sharif

et al. 2024

Clean Techn Environ Policy

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Energy-economy-environment nexus in China: The role of renewable energies toward carbon neutrality

Cited by 35 publications

References 124 publications

Optimization of the Load Command for a Coal-Fired Power Unit via Particle Swarm Optimization–Long Short-Term Memory Model

Optimization of the Load Command for a Coal-Fired Power Unit via Particle Swarm Optimization–Long Short-Term Memory Model

CSR from different perspectives: The global ESG indexes updated

Exploring the link between inflation, tourism, trade, foreign direct investment, and renewable energy consumption: evidence from novel wavelet quantile correlation approach

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