Rural Renewable Energy Resources Assessment and Electricity Development Scenario Simulation Based on the LEAP Model

Hai Bo Jiang, Haoshuai Jia, Yong Qiao, Wenzhi Liu, Yijun Miao, Wuhao Wen, Ruonan Li, Chang Wen · 2025 · Energies

Summary. This study assesses renewable energy resources in rural Chinese pilot cities using CNN technology, engineering software, and statistical methods. Researchers found substantial solar (15.63 GW), wind (458.3 MW), and biomass potential. They optimized hybrid power systems combining renewables with coal and modeled electricity scenarios to 2030. Results show that pure renewable energy scenarios dramatically reduce emissions and pollutants, with carbon dioxide peaking in 2024 under carbon capture scenarios.

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Jiang, H. B., Jia, H., Qiao, Y., Liu, W., Miao, Y., Wen, W., Li, R., & Wen, C.. (2025). Rural Renewable Energy Resources Assessment and Electricity Development Scenario Simulation Based on the LEAP Model. Energies. https://doi.org/10.3390/en18143724

@article{jiang-2025-rural-renewable-energy-resources-assessment,
  title   = {Rural Renewable Energy Resources Assessment and Electricity Development Scenario Simulation Based on the LEAP Model},
  author  = {Hai Bo Jiang and Haoshuai Jia and Yong Qiao and Wenzhi Liu and Yijun Miao and Wuhao Wen and Ruonan Li and Chang Wen},
  journal = {Energies},
  year    = {2025},
  doi     = {10.3390/en18143724},
  url     = {https://doi.org/10.3390/en18143724}
}

TY  - JOUR
TI  - Rural Renewable Energy Resources Assessment and Electricity Development Scenario Simulation Based on the LEAP Model
AU  - Hai Bo Jiang
AU  - Haoshuai Jia
AU  - Yong Qiao
AU  - Wenzhi Liu
AU  - Yijun Miao
AU  - Wuhao Wen
AU  - Ruonan Li
AU  - Chang Wen
JO  - Energies
PY  - 2025
DO  - 10.3390/en18143724
UR  - https://doi.org/10.3390/en18143724
ER  -

Details

DOI: 10.3390/en18143724
Countries: China
Regions: Asia
Categories: energy, climate-and-environment, general-innovation
Added: 2026-08-01