太阳风
碳纤维
环境科学
天体生物学
风力发电
环境经济学
环境资源管理
气象学
遥感
计算机科学
工程类
地理
电气工程
物理
经济
量子力学
复合数
磁场
算法
作者
Yao Xiao,Caixia Yang,Tao Chen,Ma Lei,Supannika Wattana,Buncha Wattana
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2025-02-25
卷期号:18 (5): 1135-1135
被引量:4
摘要
Jiangxi Province relies heavily on thermal power and energy imports but is rich in natural resources, particularly lithium. This study explores strategies for advancing wind–solar–storage systems to help Jiangxi transition to a low-carbon energy structure. Using LEAP and NEMO models, four scenarios are examined: the reference (REF) scenario, new energy storage policy scenario (NPS), high wind–solar power capacity scenario (HWSS), and comprehensive optimization scenario (COS). Key findings show that the COS and HWSS offer significant advantages over the REF scenario and NPS in terms of energy storage efficiency, carbon emission reduction, and cost savings. By 2035, under the COS, wind and solar power share rises to 48%, reducing coal use by 5.9 million tons and electricity imports by 40.0 TWh compared to the REF scenario. Battery storage utilization increases by 1499.8 GWh, nearly four times that of the REF scenario. This scenario also cuts CO2 emissions by 16.8% and lowers cumulative social costs by 5.19 billion USD, delivering optimal economic efficiency. The study also identifies challenges such as high investment costs, underdeveloped business models, and low resource utilization, and recommends setting higher targets, implementing flexible solutions, promoting market reforms, and increasing R&D efforts, among other measures.
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