Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province
With the rapid development of China's economy, carbon emissions are increasing and environmental damage is becoming more and more serious. It is of great practical significance and practical value to study the evolution trend of regional energy supply from the perspective of low carbon developm...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2020-02-01
|
| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201811093 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850053139941556224 |
|---|---|
| author | Fan WEN Jun LIU Dongxiao NIU Ze SUN Yi LIANG Yao XIAO |
| author_facet | Fan WEN Jun LIU Dongxiao NIU Ze SUN Yi LIANG Yao XIAO |
| author_sort | Fan WEN |
| collection | DOAJ |
| description | With the rapid development of China's economy, carbon emissions are increasing and environmental damage is becoming more and more serious. It is of great practical significance and practical value to study the evolution trend of regional energy supply from the perspective of low carbon development. Therefore, Zhejiang Province is used as an example to set three scenarios: routine development scenario, policy development scenario, and technology development scenario for the primary energy supply trend of coal, oil and natural gas. Based on the scenario prediction of low-carbon energy supply in Zhejiang Province by multivariate linear regression models, it can be concluded that low-carbon development will affect the structure of regional energy supply, which is conducive to the planning of primary energy supply in the region. |
| format | Article |
| id | doaj-art-40d368c5549d4eaf8c5d2f2f8952850a |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2020-02-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-40d368c5549d4eaf8c5d2f2f8952850a2025-08-20T02:52:37ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492020-02-01532202810.11930/j.issn.1004-9649.201811093zgdl-52-12-wenfanScenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang ProvinceFan WEN0Jun LIU1Dongxiao NIU2Ze SUN3Yi LIANG4Yao XIAO5Economic and Technological Research Institute, State Grid Zhejiang Electric Power Co. Ltd., Hangzhou 310008, ChinaEconomic and Technological Research Institute, State Grid Zhejiang Electric Power Co. Ltd., Hangzhou 310008, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaState Grid Liaoyang Electric Power Company, Liaoyang 111000, ChinaWith the rapid development of China's economy, carbon emissions are increasing and environmental damage is becoming more and more serious. It is of great practical significance and practical value to study the evolution trend of regional energy supply from the perspective of low carbon development. Therefore, Zhejiang Province is used as an example to set three scenarios: routine development scenario, policy development scenario, and technology development scenario for the primary energy supply trend of coal, oil and natural gas. Based on the scenario prediction of low-carbon energy supply in Zhejiang Province by multivariate linear regression models, it can be concluded that low-carbon development will affect the structure of regional energy supply, which is conducive to the planning of primary energy supply in the region.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201811093low carbon backgroundenergy supplyscenario forecastmultivariate linear regression |
| spellingShingle | Fan WEN Jun LIU Dongxiao NIU Ze SUN Yi LIANG Yao XIAO Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province Zhongguo dianli low carbon background energy supply scenario forecast multivariate linear regression |
| title | Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province |
| title_full | Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province |
| title_fullStr | Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province |
| title_full_unstemmed | Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province |
| title_short | Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province |
| title_sort | scenario prediction of provincial primary energy supply under low carbon background a case study of zhejiang province |
| topic | low carbon background energy supply scenario forecast multivariate linear regression |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201811093 |
| work_keys_str_mv | AT fanwen scenariopredictionofprovincialprimaryenergysupplyunderlowcarbonbackgroundacasestudyofzhejiangprovince AT junliu scenariopredictionofprovincialprimaryenergysupplyunderlowcarbonbackgroundacasestudyofzhejiangprovince AT dongxiaoniu scenariopredictionofprovincialprimaryenergysupplyunderlowcarbonbackgroundacasestudyofzhejiangprovince AT zesun scenariopredictionofprovincialprimaryenergysupplyunderlowcarbonbackgroundacasestudyofzhejiangprovince AT yiliang scenariopredictionofprovincialprimaryenergysupplyunderlowcarbonbackgroundacasestudyofzhejiangprovince AT yaoxiao scenariopredictionofprovincialprimaryenergysupplyunderlowcarbonbackgroundacasestudyofzhejiangprovince |