کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5480887 | 1522093 | 2017 | 35 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Regional optimization of new straw power plants with greenhouse gas emissions reduction goals: A comparison of different logistics modes
ترجمه فارسی عنوان
بهینه سازی منطقه ای از نیروگاه های جدید کاه با اهداف کاهش انتشار گازهای گلخانه ای: مقایسه مقادیر مختلف تدارکات
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Appropriate planning according to regional conditions is crucial to achieve sustainable bioenergy management. Literatures have highlighted the importance of optimization targets, restrictions and logistics design on the performance of bioenergy systems and regional bioenergy planning. This paper optimizes straw power plant layouts (both in terms of location and scale) in Jiangsu Province to minimize the logistics costs while meeting greenhouse gas (GHG) emissions reduction goals. Results show that the logistics mode has important effects on the optimal scale and logistics costs but a minimal influence on the site selection, based on the comparison of two typical logistics modes in the study area, namely, the RPM and the SCM. In the RPM, the optimal logistics cost is 14.38 USD/Mg, which is 49.6% greater than that in the SCM. Moreover, the optimal location and production scale at each site are very sensitive to changes in GHG emissions reduction goals. Changes in GHG emissions reduction goals can significantly affect the logistics costs and straw supply, which may increase the operation risk of straw power generation plants. We suggest that the logistics mode and the GHG emissions reduction goals should be carefully designed when constructing new bioenergy plants, and technological innovation with respect to harvest and compression machinery before transportation should be promoted to improve economic performance and reduce GHG emissions throughout the entire system without changing the locations of existing plants.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 161, 10 September 2017, Pages 871-880
Journal: Journal of Cleaner Production - Volume 161, 10 September 2017, Pages 871-880
نویسندگان
Beibei Liu, Qiaoran Wu, Feng Wang,