Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
Art der Begutachtung: | Peer review (Publikation) |
Titel: | Can carbon pricing support onshore wind power development in China? : an assessment based on a large sample project dataset |
Autor/-in: | Tu, Qiang Betz, Regina Mo, Jianlei Fan, Ying Liu, Yu |
DOI: | 10.1016/j.jclepro.2018.06.292 |
Erschienen in: | Journal of Cleaner Production |
Band(Heft): | 198 |
Seite(n): | 24 |
Seiten bis: | 36 |
Erscheinungsdatum: | 2018 |
Verlag / Hrsg. Institution: | Elsevier |
ISSN: | 0959-6526 |
Sprache: | Englisch |
Schlagwörter: | Carbon pricing; China; Feed-in tariff; Levelized cost of electricity; Wind power |
Fachgebiet (DDC): | 333: Bodenwirtschaft und Ressourcen |
Zusammenfassung: | There is much discussion about whether the rapid expansion of onshore wind power in China is sustainable, given the decrease in feed-in tariffs (FIT). It is unclear whether the recently launched nationwide carbon pricing system, which will include 1700 power companies, can compensate for decreasing FITs and possibly provide new incentives for wind power developments. This paper investigates the ability of carbon pricing policies to compensate for declining FITs in support of onshore wind power investment in China. First, we constructed a dataset of 2059 onshore wind power projects from China’s thirty provinces between 2006 and 2015 to estimate the levelized costs of electricity (LCOE). This dataset was used to assess the profitability of each wind project for different carbon prices, varying levels of FITs, curtailment rate, and discount rate. Our findings suggest that the carbon price can compensate partially for the revenue loss caused by declining FITs as well as improving the profitability of projects. However, current carbon prices in China’s carbon emission trading pilots are not sufficiently high to compensate for the revenue losses, especially under the grid parity scenario. Consequently, without FITs, the sustainable development of onshore wind power in China is uncertain. A sensitivity analysis of the effect of the carbon pricing policy demonstrates that in the case of higher investment risk and more serious curtailment, the effect of carbon pricing policy on promoting the wind power investment seems to be more significant. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/13967 |
Volltext Version: | Publizierte Version |
Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
Departement: | School of Management and Law |
Organisationseinheit: | Zentrum für Energie und Umwelt (CEE) |
Enthalten in den Sammlungen: | Publikationen School of Management and Law |
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Tu, Q., Betz, R., Mo, J., Fan, Y., & Liu, Y. (2018). Can carbon pricing support onshore wind power development in China? : an assessment based on a large sample project dataset. Journal of Cleaner Production, 198, 24–36. https://doi.org/10.1016/j.jclepro.2018.06.292
Tu, Q. et al. (2018) ‘Can carbon pricing support onshore wind power development in China? : an assessment based on a large sample project dataset’, Journal of Cleaner Production, 198, pp. 24–36. Available at: https://doi.org/10.1016/j.jclepro.2018.06.292.
Q. Tu, R. Betz, J. Mo, Y. Fan, and Y. Liu, “Can carbon pricing support onshore wind power development in China? : an assessment based on a large sample project dataset,” Journal of Cleaner Production, vol. 198, pp. 24–36, 2018, doi: 10.1016/j.jclepro.2018.06.292.
TU, Qiang, Regina BETZ, Jianlei MO, Ying FAN und Yu LIU, 2018. Can carbon pricing support onshore wind power development in China? : an assessment based on a large sample project dataset. Journal of Cleaner Production. 2018. Bd. 198, S. 24–36. DOI 10.1016/j.jclepro.2018.06.292
Tu, Qiang, Regina Betz, Jianlei Mo, Ying Fan, and Yu Liu. 2018. “Can Carbon Pricing Support Onshore Wind Power Development in China? : An Assessment Based on a Large Sample Project Dataset.” Journal of Cleaner Production 198: 24–36. https://doi.org/10.1016/j.jclepro.2018.06.292.
Tu, Qiang, et al. “Can Carbon Pricing Support Onshore Wind Power Development in China? : An Assessment Based on a Large Sample Project Dataset.” Journal of Cleaner Production, vol. 198, 2018, pp. 24–36, https://doi.org/10.1016/j.jclepro.2018.06.292.
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