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Green thermal power dispatching based on environmental information during the energy transition period
- Source :
- Journal of Cleaner Production. 320:128843
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- With the global trend of clean and low-carbon energy transformation, China has put forward the 30·60 double carbon target. However, traditional energy still need to play a supporting role in the energy transition period. The purpose of this study is to optimize the dispatching order of thermal power resource, when clean renewable energy is given priority and fully dispatching, but still can not meet the energy demand of the whole society. Different from the traditional economic dispatching, the green thermal power dispatching evaluation mechanism proposed in this paper is oriented by cleanliness, supplemented by economy and reliability. This paper set up green power dispatching evaluation model through the comprehensive use of the Analytic Hierarchy Process, Entropy Weight Method and Grey Relation Analysis. And emergy method was used to solve the problem of environmental information quantification and evaluation. Finally, we established a set of green comprehensive energy efficiency evaluation system with 16 indicators. The results showed that the dispatch sequence has changed significantly under the new mechanism, which confirmed that the model has good effect and practical value for optimizing the cleaning dispatching of thermal power.
- Subjects :
- Renewable Energy, Sustainability and the Environment
business.industry
Computer science
Strategy and Management
Analytic hierarchy process
Thermal power station
Building and Construction
Energy transition
Industrial and Manufacturing Engineering
Renewable energy
Reliability engineering
Emergy
Resource (project management)
Energy transformation
business
General Environmental Science
Efficient energy use
Subjects
Details
- ISSN :
- 09596526
- Volume :
- 320
- Database :
- OpenAIRE
- Journal :
- Journal of Cleaner Production
- Accession number :
- edsair.doi...........23f28bf653ebcdeaea99aba434bbefb8