کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5480838 | 1522093 | 2017 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identifying optimal clean-production pattern for energy systems under uncertainty through introducing carbon emission trading and green certificate schemes
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Identifying optimal clean-production pattern for energy systems under uncertainty through introducing carbon emission trading and green certificate schemes Identifying optimal clean-production pattern for energy systems under uncertainty through introducing carbon emission trading and green certificate schemes](/preview/png/5480838.png)
چکیده انگلیسی
In this study, a two-stage type-2 fuzzy stochastic programming (TTSP) method is developed for supporting clean production of energy systems with carbon and pollutant mitigation under uncertainty. TTSP can handle multiple uncertainties expressed as type-2 fuzzy sets, random variables and interval values; it can also provide an effective linkage between the pre-regulated energy and environmental policies as well as the associated economic implication. The TTSP method is then applied to planning energy system of Shanghai through introducing carbon emission trading (CET) and green certificate (GC) schemes. The solutions obtained can help generate energy-supply and electricity-generation schemes under different carbon trading ratios and various development plans of renewable energy. Results reveal that (i) the city's future energy structure would transit to the clean-production pattern on the basis of CET and GC policies; (ii) replacing fossil fuels with renewable energy sources (i.e. wind and photovoltaic power) can effectively facilitate reducing the emissions of pollutants (e.g., SO2, NOx and PM) and greenhouse gas (e.g., CO2). The results can help decision makers adjust energy and electricity supply, make appropriate mitigation plan, as well as gain insight into the relationship between mitigation schemes and optimal clean-production pattern.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 161, 10 September 2017, Pages 299-316
Journal: Journal of Cleaner Production - Volume 161, 10 September 2017, Pages 299-316
نویسندگان
C. Suo, Y.P. Li, S.W. Jin, J. Liu, Y.F. Li, R.F. Feng,