دورية أكاديمية

Economic analysis of large-scale rooftop photovoltaics considering carbon trading market

التفاصيل البيبلوغرافية
العنوان: Economic analysis of large-scale rooftop photovoltaics considering carbon trading market
المؤلفون: ZHOU Peng, ZHU Xiaotong, WU Jun, SONG Xiaojian, ZHANG Man, LI Bing
المصدر: 电力工程技术, Vol 42, Iss 6, Pp 83-90 (2023)
بيانات النشر: Editorial Department of Electric Power Engineering Technology, 2023.
سنة النشر: 2023
مصطلحات موضوعية: rooftop photovoltaic, carbon trading market, chinese emission allowance (cea), chinese certified emission reduction (ccer), differential threshold filtering method, grey prediction, Applications of electric power, TK4001-4102
الوصف: Due to the large-scale development of rooftop photovoltaics and the continuous improvement of the national carbon trading market, the carbon credits generated by rooftop photovoltaics power generation can obtain additional income through carbon allocation offset or participation in carbon trading market. Firstly, the path and methods of participating in the carbon trading market for rooftop photovoltaic projects are studied, focusing on how large-scale rooftop photovoltaic projects participate in the carbon trading market and the degree of impact on the project's economy. Secondly, the life-cycle economic model of rooftop photovoltaic with carbon trading income is established based on the power generation model. Thirdly, in order to quantitatively analyze the income of carbon trading, an improved grey prediction GM(1, 1) model based on the differential threshold filtering method is proposed to predict the future carbon price. Finally, an example of large-scale rooftop photovoltaic is analyzed. The results show that large-scale rooftop photovoltaic considering participation in the carbon trading market has a relatively significant economic improvement.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Chinese
تدمد: 2096-3203
Relation: https://www.epet-info.com/dlgcjsen/article/abstract/220725058; https://doaj.org/toc/2096-3203
DOI: 10.12158/j.2096-3203.2023.06.009
URL الوصول: https://doaj.org/article/d3f528efde074bbd979e6de7127c5610
رقم الأكسشن: edsdoj.3f528efde074bbd979e6de7127c5610
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20963203
DOI:10.12158/j.2096-3203.2023.06.009