کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5106135 | 1481254 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties
ترجمه فارسی عنوان
هزینه ها و پتانسیل های صرفه جویی در انرژی در صنایع برق زغال سنگ چین: یک رویکرد پایین به بالا با توجه به عدم اطمینان قیمت
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
Energy conservation technologies in the coal-fired power sector are important solutions for the environmental pollution and climate change issues. However, a unified framework for estimating their costs and potentials is still needed due to the wide technology choices, especially considering their economic feasibility under fuel and carbon price uncertainties. Therefore, this study has employed a bottom-up approach to analyze the costs and potentials of 32 key technologies' new promotions during the 13th Five-Year Plan period (2016-2020), which combines the conservation supply curve (CSC) approach and break-even analysis. Findings show that (1) these 32 technologies have a total coal conservation potential of 275.77 Mt with a cost of 238.82 billion yuan, and their break-even coal price is 866 yuan/ton. (2) steam-water circulation system has the largest energy conservation potential in the coal-fired power industry. (3) considering the co-benefits will facilitate these technologies' promotions, because their break-even coal prices will decrease by 2.35 yuan/ton when the carbon prices increase by 1 yuan/ton. (4) discount rates have the largest impacts on the technologies' cost-effectiveness, while the future generation level affect their energy conservation potentials most.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Policy - Volume 104, May 2017, Pages 23-32
Journal: Energy Policy - Volume 104, May 2017, Pages 23-32
نویسندگان
Hao Chen, Jia-Ning Kang, Hua Liao, Bao-Jun Tang, Yi-Ming Wei,