Construction of Energy Conservation and Emission Reduction Evaluation Index System in Coal-Fired Power Plants and its Application

التفاصيل البيبلوغرافية
العنوان: Construction of Energy Conservation and Emission Reduction Evaluation Index System in Coal-Fired Power Plants and its Application
المؤلفون: Jin Meng Li, Qing Xin Fan, Wei Qiu
المصدر: Advanced Materials Research. :1875-1878
بيانات النشر: Trans Tech Publications, Ltd., 2014.
سنة النشر: 2014
مصطلحات موضوعية: Engineering, Index (economics), Power station, Index system, business.industry, General Engineering, Environmental engineering, Analytic hierarchy process, Agricultural engineering, complex mixtures, Power (physics), Reduction (complexity), Energy conservation, Cleaner production, business
الوصف: According to the analysis of coal-fired power plants, the article built the evaluation index system of coal-fired power plants energy conservation and emission reduction. Based on analytic hierarchy process (AHP), we determined the weight of each evaluation index. By using the calculation of rating scores in cleaner production, we set up a model of energy conservation and emission reduction for coal-fired power plants. On the basis of the results, the level of coal-fired power plants energy conservation and emission reduction was divided into five levels: excellent, good, medium, pass and fail. Taking a coal-power plant in Heilongjiang Province as an example, we drew a conclusion that the score of energy conservation and emission reduction in the coal-power plant was 89.52 which represents the good level. According to the evaluation result, we proposed corresponding suggestions. The results provide decision-makers with ideas and methods for energy conservation and emission reduction evaluation in the coal-fired power plant.
تدمد: 1662-8985
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d914c9b2fe5269e42d93392433c96274
https://doi.org/10.4028/www.scientific.net/amr.962-965.1875
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........d914c9b2fe5269e42d93392433c96274
قاعدة البيانات: OpenAIRE