Dataset of CO2 geological storage potential and injection rate capacity in China based on fine grid technology DOI Creative Commons
Jing‐Li Fan, Xiaojuan Xiang, Yue Yao

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 16, 2025

Language: Английский

Challenges, technology drivers and the role of power boilers in rapidly decarbonizing energy systems DOI
Sylwester Kalisz, Francesco Miccio, Giorgio Besagni

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125416 - 125416

Published: Jan. 1, 2025

Language: Английский

Citations

0

China's provincial renewable energy electricity consumption allocations for 2030: A study using the Zero-Sum Gains Data Envelope Analysis model DOI Open Access

Lingling Mu,

Jianping Wang,

Yidan Gu

et al.

Energy and Climate Change, Journal Year: 2025, Volume and Issue: unknown, P. 100182 - 100182

Published: Feb. 1, 2025

Language: Английский

Citations

0

Exploration of Dual-Carbon Target Pathways Based on Machine Learning Stacking Model and Policy Simulation—A Case Study in Northeast China DOI Creative Commons
Xuezhi Ren,

Jianya Zhao,

Shu Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 844 - 844

Published: April 12, 2025

Northeast China, a traditional heavy industrial base, faces significant carbon emissions challenges. This study analyzes the drivers of in 35 cities from 2000–2022, utilizing machine-learning approach based on stacking model. A model, integrating random forest and eXtreme Gradient Boosting (XGBoost) as base learners support vector machine (SVM) meta-model, outperformed individual algorithms, achieving coefficient determination (R2) 0.82. Compared to methods, model significantly improves prediction accuracy stability by combining strengths multiple algorithms. The Shapley additive explanations (SHAP) analysis identified key drivers: total energy consumption, urbanization rate, electricity population positively influenced emissions, while sulfur dioxide (SO2) smoke dust average temperature, humidity showed negative correlations. Notably, green coverage exhibited complex, slightly positive relationship with emissions. Monte Carlo simulations three scenarios (Baseline Scenario (BS), Aggressive De-coal (ADS), Climate Resilience (CRS)) projected peak 2030 under ADS, lowest fluctuation (standard deviation 5) largest reduction (17.5–24.6%). Baseline indicated around 2039–2040. These findings suggest important role de-coalization. Targeted policy recommendations emphasize accelerating transition, promoting low-carbon transformation, fostering urbanization, enhancing sequestration China’s sustainable development achievement dual-carbon goals.

Language: Английский

Citations

0

The riddle of the sands: C02 emissions reduction and California's renewables portfolio DOI Creative Commons
G. Cornelis van Kooten

Applied Energy, Journal Year: 2025, Volume and Issue: 384, P. 125475 - 125475

Published: Feb. 4, 2025

Language: Английский

Citations

0

Dataset of CO2 geological storage potential and injection rate capacity in China based on fine grid technology DOI Creative Commons
Jing‐Li Fan, Xiaojuan Xiang, Yue Yao

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 16, 2025

Language: Английский

Citations

0