An Integrated Assessment of China’s Wind Energy Potential
Computable general equilibrium (CGE) models seeking to evaluate the impacts of electricity policy face difficulties incorporating detail on the variable nature of renewable energy resources. To improve the accuracy of modeling renewable energy and climate policies, detailed scientific and engineerin...
| Main Authors: | , , , , |
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| Format: | Technical Report |
| Language: | en_US |
| Published: |
MIT Joint Program on the Science and Policy of Global Change
2014
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| Online Access: | http://hdl.handle.net/1721.1/88605 |
| _version_ | 1811069305931956224 |
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| author | Zhang, D. Davidson, M. Gunturu, B. Zhang, X. Karplus, V.J. |
| author_facet | Zhang, D. Davidson, M. Gunturu, B. Zhang, X. Karplus, V.J. |
| author_sort | Zhang, D. |
| collection | MIT |
| description | Computable general equilibrium (CGE) models seeking to evaluate the impacts of electricity policy face difficulties incorporating detail on the variable nature of renewable energy resources. To improve the accuracy of modeling renewable energy and climate policies, detailed scientific and engineering data are used to inform the parameterization of wind electricity in a new regional CGE model of China. Wind power density (WPD) in China is constructed using boundary layer flux data from the Modern Era Retrospective-analysis for Research and Applications (MERRA) dataset with a 0.5° latitude by 0.67° longitude spatial resolution. Wind resource data are used to generate production cost functions for wind at the provincial level for both onshore and offshore, incorporating technological parameters and geographical constraints. By using these updated wind production cost data to parameterize the wind electricity option in a CGE model, an illustrative policy analysis of the current feed-in tariff (FIT) for onshore wind electricity is performed. Assuming a generous penetration rate, no grid integration cost and no interprovincial interconnection, we find that the economic potential of wind exceeds China’s 2020 wind target by a large margin. Our analysis shows how wind electricity resource can be differentiated based on location and quality in a CGE model and then applied to analyze climate and energy policies. |
| first_indexed | 2024-09-23T08:09:00Z |
| format | Technical Report |
| id | mit-1721.1/88605 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:09:00Z |
| publishDate | 2014 |
| publisher | MIT Joint Program on the Science and Policy of Global Change |
| record_format | dspace |
| spelling | mit-1721.1/886052019-04-09T16:56:09Z An Integrated Assessment of China’s Wind Energy Potential Zhang, D. Davidson, M. Gunturu, B. Zhang, X. Karplus, V.J. Computable general equilibrium (CGE) models seeking to evaluate the impacts of electricity policy face difficulties incorporating detail on the variable nature of renewable energy resources. To improve the accuracy of modeling renewable energy and climate policies, detailed scientific and engineering data are used to inform the parameterization of wind electricity in a new regional CGE model of China. Wind power density (WPD) in China is constructed using boundary layer flux data from the Modern Era Retrospective-analysis for Research and Applications (MERRA) dataset with a 0.5° latitude by 0.67° longitude spatial resolution. Wind resource data are used to generate production cost functions for wind at the provincial level for both onshore and offshore, incorporating technological parameters and geographical constraints. By using these updated wind production cost data to parameterize the wind electricity option in a CGE model, an illustrative policy analysis of the current feed-in tariff (FIT) for onshore wind electricity is performed. Assuming a generous penetration rate, no grid integration cost and no interprovincial interconnection, we find that the economic potential of wind exceeds China’s 2020 wind target by a large margin. Our analysis shows how wind electricity resource can be differentiated based on location and quality in a CGE model and then applied to analyze climate and energy policies. The authors thank Eni S.p.A., ICF International, Shell International Limited, and the French Development Agency (AFD), founding sponsors of the China Energy and Climate Project. We are also thankful for support provided by the Ministry of Science and Technology of China, the National Development and Reform Commission, and R io Tinto China. We further gratefully acknowledge the financial support for this work provided by the MIT Joint Program on the Science and Policy of Global Change through a consortium of industrial sponsors and Federal grants. This work is also supported b y the DOE Integrated Assessment Grant (DE - FG02 - 94ER61937) 2014-08-07T20:55:01Z 2014-08-07T20:55:01Z 2014-04 Technical Report http://hdl.handle.net/1721.1/88605 Report 261 en_US MIT Joint Program Report Series;;Report 261 application/pdf MIT Joint Program on the Science and Policy of Global Change |
| spellingShingle | Zhang, D. Davidson, M. Gunturu, B. Zhang, X. Karplus, V.J. An Integrated Assessment of China’s Wind Energy Potential |
| title | An Integrated Assessment of China’s Wind Energy Potential |
| title_full | An Integrated Assessment of China’s Wind Energy Potential |
| title_fullStr | An Integrated Assessment of China’s Wind Energy Potential |
| title_full_unstemmed | An Integrated Assessment of China’s Wind Energy Potential |
| title_short | An Integrated Assessment of China’s Wind Energy Potential |
| title_sort | integrated assessment of china s wind energy potential |
| url | http://hdl.handle.net/1721.1/88605 |
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