Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China
Abstract
:1. Introduction
1.1. Motivation of the Paper
1.2. Literature Survey
1.3. Contributions of the Paper
1.4. Organization of the Paper
2. Methodology
2.1. Research Framework of the Paper
2.2. Wind Power Industry Value Chain Model Construction
2.3. Diamond Model
3. Comprehensive Analysis Using Diamond Model
3.1. Factor Condition
3.1.1. Energy Structure Adjustment
3.1.2. Resource Potential
3.2. Demand Condition
3.2.1. Increasing Demand for Wind Power
3.2.2. Serious Wind Energy Rejection
3.3. Related and Support Departments
3.4. Firm Strategy, Structure and Rivalry
3.5. Government and Opportunity
3.5.1. Price Policy
3.5.2. Non-Price Policy
3.6. Technology
3.6.1. Energy Storage
3.6.2. Constructions of UHV Grids
4. Discussion
4.1. Comparison Discussion
- (1)
- Factor condition. Wind power in Japan is restricted by two natural factors. For onshore, geographical distribution of wind resources is quite uneven across Japan, since wind energy resources are concentrated in the Hokkaido, Tohoku, and Kyushu EPCO regions, while the demand centers are located somewhere else [81]; this challenge remains the same with resource distribution in China. For offshore, Japan owns rich offshore wind resources, but more than 1600 GW potential wind energy is located in ocean with depths greater than 100 m. China is also enhancing offshore wind power development with support from the government and wind turbine companies.
- (2)
- Demand condition. Although wind power in China and Japan both confront the difficulty of grid-connection and transmission, Chinese generated wind power has increased from 5.5 TWh in 2006 to 286.1 TWh in 2017, but Japanese generated wind power increased only from 2.7 TWh in 2006 to 5.7 TWh in 2017, an extremely low rate. Moreover, one significant bottleneck of demand conditions in Japan is the social acceptance issue, which means that wind projects are not supported by local communities, because past projects in the early stage brought no benefits but created noise and landscape disturbance [81]. Nevertheless, both the Chinese and Japanese governments are applying certain regulations and policies to improve the demand conditions of domestic wind power.
- (3)
- Related and support departments. In contrast to China’s booming wind turbine manufacturing industry, the wind power domestic market in Japan is small, because of immature market attractiveness and scale. Over the years, the Japanese power generation supply chain from resource acquisition to power generation to transmission and distribution has been monopolized by utilities [82] who show little interest in wind power projects with high construction costs, and intermittence and transmission problems. Moreover, the corresponding supportive policies of national government have not yielded the expected effects and response. In contrast, the support departments in China effectively respond to national policy, which improves the development process.
- (4)
- Firm strategies, structures and rivalries. Compared with wind power, nuclear power develops fast and occupies a key position in the Japanese energy structure. After the Great East Earthquake, Tsunami, and Fukushima Nuclear Plant disaster, Japan has started to pay more attention to wind power. The grid access problem is jointly faced by the Chinese and Japanese wind industries, and measures to handle intermittence and transmission issues are being explored at the same time. Offshore wind power is also popular in both Japan and China, and floating wind power technology has been developed in recent years with more attention in Japan. Japan has excellent performance in ES industry development. Japan’s NGK is the world’s first and only company to successfully commercialize sodium-sulfur batteries; its products account for the majority of the world’s chemical energy storage market. In this regard, China also shows strong interest in the ES industry.
- (5)
- Government and opportunity. Compared with China’s price and non-price policies, and large-scale financial support, Japan pays less attention to wind power. Japan has published a series of supportive policies, including the Sunshine Program, the Moonlight Program, the new Sunshine Program, and the Feed-In Tariff mechanism. But the budget for wind power in these policies was far smaller than that of solar or geothermal. The fifth Energy Basic Plan issued by the Ministry of Economy, Trade, and Industry in July 2018 reflects Japanese determination for renewable energy development, in which wind power might play a key role.
- (6)
- Technology. China has a considerable number of wind turbine manufactures, and the installed capacity leads the world; however, China lacks the corresponding technical innovation and necessary patents, which is a high value-adding sector in the value chain. As the primary researcher of renewable energy, Japan owns a bunch of independent innovations and patents. As for new technical projects, such as offshore floating wind power, Japan also conducts numerous studies. The Japanese government has supported the development of ES technologies, and has obtained fine achievements. China should also increase the R&D strength of wind power and related technologies.
4.2. Measurement Discussion
- (1)
- Encourage a diversified business model. The power system in China is dominated by the State and China Southern Power Grids, of which wind power occupies a small proportion in the energy consumption structure. To increase the value creation and innovation effect of the whole value chain, we should keep our eyes on an overall level. As part of the high value-adding section, a diversified business model should be adopted. According to Opinions about Further Deepening the Reform of Electric Power System ([2015] No. 9), issued by the State Council, a diversified business model including integrating renewable power with traditional power, cross-regional energy complementarity, power system optimization, and heat supply using renewable energy would be adopted. Wind power development and operations would be open to social capital with public-private partnerships (PPPs). End users can participate in wind power system operations as the investors and promotes of wind power grid connections and industrial development.
- (2)
- Enhance R&D and independent innovation abilities. As another part of the high value-adding section, improvements in R&D and independent innovation abilities will effectively increase the value creation and innovation effects of the overall value chain of wind power. Challenges such as shortages of suitable and national technical codes for wind power integration, quality problem of wind power equipment, reliance on key design techniques of European and American companies, and an imperfect certification system for wind turbines require core technology R&D and improvements in the capacity of independent innovation. China should apply Big data, 3D printing, and other intelligent manufacturing technologies in promoting the performance and intelligence levels of the wind power industry, break though design and manufacturing technology for 10 MW level, high-capacity wind turbines and key components, and encourage the application of innovative technology to improve quality and reduce operation costs.
- (3)
- Professional cultivation. The shortage of wind power professional talent is one of the main factors hindering the value adding effect of the wind power industry in China. At present, only 16 universities in China have established Bachelor’s degrees in wind power engineering, and talent cultivation in Chinese universities takes at least 4 years; as such, professionals are in short supply. The Thirteen Five-Year Plan for Wind Power Development ([2016] No. 314) laid out a plan to increase the employment scale of the wind power industry to 0.8 million people, with 0.3 million newly-added employees by 2020 [63]. This plan challenges the current talent situation, and raises nationwide professional cultivation needs. China should train qualified professionals by cooperation with the state, society, universities, research institutions, and enterprises.
- (4)
- Effectively reduce wind rejection rate. To avoid resource waste and value loss, electricity generated with wind power should be consumed in surrounding regions with diversified utilization forms, namely “elimination on the spot”, and allocated with cross-region and cross-province transmission lines to increase the proportion of wind power in the energy consumption structure. Meanwhile, off-grid wind power can be effectively stored with ES equipment and consumed in diversified ways [30].
- (5)
- Government support. Whether or not the government can make a difference in the policy incentives and the legal environment design of wind power development is a crucial question. At the top stage of the value creation and innovation of the wind power industry value chain, the government should provide suggestions on how to use market leverage and how to design, establish, and guide market-oriented institutions, mechanisms, policies and measures, laws and regulations, and supervision through “visible hands”. The wind power rejection phenomenon should be improved by related development plans and financial & economic incentives; additionally, ES technologies should be further promoted to help grid connection of wind power and reduce the corresponding influence on the grid, and power generation and selling firms and power market development and operation should be encouraged and supported, demand side response technologies and regulations for increasing wind power consumption should be promoted and determined. None of these can be accomplished without government support.
5. Conclusions
- (1)
- The Chinese wind power industry develops fast in installed capacity scale and turbine and components manufacturing, but the high value-adding sectors require attention.
- (2)
- A novel value chain model covering both low and high value-adding sectors was conducted.
- (3)
- For the comprehensive analysis with the diamond model: (i) a factor condition analysis showed that China was experiencing domestic energy structure adjustment and would increase the proportion of wind power in its energy consumption structure. (ii) China had increasing demand for wind power, and the consumption goal was guaranteed by the government; however, serious wind rejection brought about the need for value chain integration. (iii) Except for power generation and transmission subjects, increment power distribution subjects, ES subjects, and power selling subjects with promising value efficiency have undergone simultaneous rapid development. (iv) As for firm strategies, structures, and rivalries, more liberalized market modes were able to stimulate the value chain. (v) Government support laid robust foundation for value chain development. (vi) As a high value-adding sector, ES technology and the UHV grid had significant performance in China.
- (4)
- A comparitive analysis of the value chains in Japan and China was presented; the results showed that wind power in China developed fast, while Japan had a relatively slow development rate. However, Japan excelled in innovative technologies and patents. In addition, measures were suggested to help increase value creation and the innovation effect of the wind power value chain.
Author Contributions
Acknowledgments
Conflicts of Interest
References
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Papers | Objects | Methods/Contents |
---|---|---|
[11] | Wind power industry chain in China | Wind power supply chain; technology chain; description of value chain. |
[16] | Large scale wind power integration | Challenges of large-scale wind power integration in China; policies analysis. |
[48] | Wind power generation and electricity price | Relationship between wind power generation and electricity price behavior in Germany |
[13] | Industrial performance analysis | Status quo; development process of wind power feed-in tariff; performance analysis. |
[49] | Wind power prediction | Hybrid model (LSSVM-GSA); prediction; simulation. |
[50] | Wind power forecasting | Prediction intervals (PIs) to capture the uncertainty associated with wind power generation. |
[51] | Wind speed description and power density in northern Spain | Wind speed analysis; wind power density; wind resources and wind turbine application. |
[52] | Wind power; economic rational; environment issues | Economic rational, environment impacts and cost issues of wind power. |
Category | Area | Benchmark Price (Unit: yuan/kWh) | |||
---|---|---|---|---|---|
2009–2014 | 2015 | 2016–2017 | 2018 | ||
I | Inner Mongolia except Chifeng, Tongliao, Xing’an League and Hulun Buir; Urumqi, Ili, Karamay, Shihezi of Xinjiang | 0.51 | 0.49 | 0.47 | 0.40 |
II | Zhangjiakou and Chengde of Hebei Province; Chifeng, Tongliao, Xing’an League and Hulun Buir of Inner Mongolia; Jiayuguan and Jiuquan of Gansu province; Yunnan Province | 0.54 | 0.52 | 0.50 | 0.45 |
III | Baicheng and Songyuan of Jilin Province; Jixi, Shuangyashan, Qitaihe, Suihua, Yichun and Daxinganling area of Jilin province; Gansu Province except Jiayuguan and Jiuquan; Xinjiang except Urumqi, Ili, Karamay and Shihezi; Ningxia | 0.58 | 0.56 | 0.54 | 0.49 |
IV | Other areas in China | 0.61 | 0.61 | 0.60 | 0.57 |
Macro Level Policies | Year | Key Points |
---|---|---|
Medium and Long-term Development Plan of Renewable Energy | 2007 | Cumulative installed capacity of wind power should reach 30 million kW by 2020 |
Renewable Energy Law Amendment | 2010 | Full amount indemnificatory acquisition system of renewable power generation |
Thirteen Five-year Plan of National Strategic Emerging Industry Development | 2016 | Promoting high quality wind power development and utilization; Building technical test and industrial supervision public service platform of wind power |
Thirteen Five-year Plan of Wind Power | 2016 | By the end of 2020, 0.21 billion kW of cumulative installed capacity and 420 billion kWh of annual power generation of wind power |
Management Approach of Full Amount Indemnificatory Acquisition of Renewable Energy | 2016 | Identity the definition, main body of responsibility, scope of protection and compensation methods |
Thirteen Five-year Plan of Renewable Energy | 2016 | By the end of 2020, establish equal platform competition situation between power prices of wind power and local coal-fired power and implement wind/solar hybrid power generation demonstration base |
Suggestion on Energy Work 2017 | 2017 | Optimize wind power construction distribution and lean on Middle East and South areas, restrict new on-grid projects in areas with high wind rejection, and fasten R&D of offshore wind power |
Implementation Plan of Solving Water/Wind/Solar Power Rejection Problems | 2017 | Update renewable energy rejection situation in relative areas by 2017 and effectively solve renewable energy rejection problems across the country by 2020 |
Opinions on Deepening the Reform of the Price Mechanism | 2017 | Promote price mechanism of renewable power and keep on-grid price of wind power consistent with that of coal-fired power generation |
Interim Measures for Development and Construction of Decentralized Wind Power Projects | 2018 | Accelerate the development and improve the management process and working mechanism of decentralized wind power |
Financial & Tax Incentives | Year | Key Points |
---|---|---|
Notice on Favorable Corporate Income Tax List of Public Infrastructure Projects (2008) | 2008 | Tax exemption in first three years and tax halving in second three years of wind power firms |
Notice on the Taxation of the Comprehensive Utilization of Resources and Other Value-additional | 2008 | Refund 50% of value-added tax imposed by power generated with wind power |
Provisional Measures for Energy Saving and Emission Reduction Funds in the Central State-owned Capital Operation Budget | 2011 | Income tax exemption for finance less than 20% of actual investment obtained of offshore wind power projects |
Notice on Value-adding Taxation of Wind Power | 2015 | Refund 50% of value-added tax imposed by power products of taxpayer using wind power generated by itself |
No | Projects | Types | Start Time | Operation Time | Crossing Provinces |
---|---|---|---|---|---|
1 | Southeast Shanxi-Nanyang-Jingmen | 1000 kV AC | 2006 | 2009 | Shanxi-Henan-Hubei |
2 | South Anhui-North Zhejiang-Shanghai | 1000 kV AC | 2011 | 2013 | Anhui-Zhejiang-Jiangsu-Shanghai |
3 | North Zhejiang-Fuzhou | 1000 kV AC | 2013 | 2014 | Zhejiang-Fujian |
4 | South Anhui-Nanjing-Shanghai | 1000 kV AC | 2014 | 2016 | Anhui-Jiangsu-Shanghai |
5 | Ximeng-Shangdong | 1000 kV AC | 2014 | 2016 | Inner Mongolia-Hebei-Tianjin-Shandong |
6 | West Inner Mongolia-Shandong | 1000 kV AC | 2015 | 2016 | Inner Mongolia-Shanxi-Hebei-Tianjin |
7 | Xiangjiaba-Shanghai | 800 kV DC | 2007 | 2010 | Sichuan-Chongqing-Hebei-Hunan-Anhui-Zhejiang-Jiangsu-Shanghai |
8 | Jinping-south Jiangsu | 800 kV DC | 2009 | 2012 | Sichuan-Yunnan-Chongqing-Hunan-Hubei-Zhejiang-Anhui-Jiangsu |
9 | South Hami-Zhengzhou | 800 kV DC | 2012 | 2014 | Xinjiang-Gansu-Ningxia-Shaanxi-Shanxi-Zhejiang |
10 | Xiluodu-Jinhua | 800 kV DC | 2012 | 2014 | Sichuan-Guizhou-Hunan-Jiangxi-Zhejiang |
11 | East Ningxia-Zhejiang | 800 kV DC | 2014 | 2016 | Ningxia-Shaanxi-Shanxi-Henan-Anhui-Zhejiang |
12 | Hengyu-Huaifang | 1000 kV AC | 2015 | 2017 | Shaanxi-Shanxi-Hebei-Shandong |
13 | Jiuquan-Hunan | 800 kV DC | 2015 | 2017 | Gansu-Shanxi-Chongqing-Hubei-Hunan |
14 | North Shanxi-Jiangsu | 800 kV DC | 2015 | 2017 | Shanxi-Hebei-Henan-Shandong-Anhui-Jiangsu |
15 | Shanghaimiao-Shandong | 800 kV DC | 2015 | 2017 | Inner Mongolia-Shaanxi-Shanxi-Hebei-Henan-Shandong |
16 | Ximeng-Taizhou | 800 kV DC | 2015 | 2017 | Inner Mongolia-Hebei-Tianjin-Shandong-Jiangsu |
17 | Zhalute-Qingzhou | 800 kV DC | 2016 | 2017 | Inner Mongolia-Hebei-Tianjin-Shandong |
18 | Ximeng-Shengli | 1000 kV AC | 2016 | 2017 | Inner Mongolia-Beijing-Shandong |
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Liu, J.; Wei, Q.; Dai, Q.; Liang, C. Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China. Appl. Sci. 2018, 8, 1900. https://doi.org/10.3390/app8101900
Liu J, Wei Q, Dai Q, Liang C. Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China. Applied Sciences. 2018; 8(10):1900. https://doi.org/10.3390/app8101900
Chicago/Turabian StyleLiu, Jicheng, Qiushuang Wei, Qiongjie Dai, and Chunyan Liang. 2018. "Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China" Applied Sciences 8, no. 10: 1900. https://doi.org/10.3390/app8101900
APA StyleLiu, J., Wei, Q., Dai, Q., & Liang, C. (2018). Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China. Applied Sciences, 8(10), 1900. https://doi.org/10.3390/app8101900