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China Power System Transformation

Power system transformation pathways for China to 2035

Power system transformation pathways for China to 2035

This chapter describes a state-of-the-art modelling exercise conducted by the International Energy Agency (IEA), analysing different pathways for the power system of the People’s Republic of China (“China”). The analysis relies on two core energy system transformation scenarios for China, which were recently conducted for the IEA World Energy Outlook (WEO) 2018 – the New Policies Scenario (NPS) and the Sustainable Development Scenario (SDS) (IEA, 2018a). These present the long-term IEA view on the evolution of the global energy system – including China – under different conditions. Using the WEO 2018 results for national installed generation capacity and demand, the Chinese power system is then simulated in unprecedented operational detail under the NPS and SDS for the year 2035.45

The power sector modelling exercise provides insight into various operational, economic and policy-related aspects of a future Chinese power system. It is primarily employed to quantify the annual economic and operational benefits in the year 2035 of various options to optimise the utilisation of the power system and increase its flexibility: 1) introducing economic dispatch, 2) enhancing regional trade, and (3) unlocking innovative sources of power system flexibility.

The chapter first summarises particularly important aspects of China’s various power system pathways. In a second step, it explains the options that are explored in the power sector modelling exercise. The third section presents modelling results for different cases based on the NPS and SDS.

General trends in China’s power system evolution

For many years the dominant narrative on China has emphasised the extraordinary pace of the country’s development and its success in lifting hundreds of millions of its citizens out of poverty, including energy poverty. Rapid expansion of the electricity sector in China was a crucial driver for this, making it the world’s largest electricity consumer in terms of total national consumption (Figure 26) (IEA, 2018a).

The previously high growth in demand implied the prioritisation of securing sufficient investment. However, as the country has become more prosperous, the Chinese government has increasingly come to focus on the economic and environmental costs of this growth. Indeed, new priorities include improving local air quality, addressing the long-term issues of economic structural transition and also dealing with the systemic threat of climate change.

45 Hourly production cost modelling is employed using the PLEXOS® modelling tool to capture a sufficient level of detail for the Chinese power generation fleet, electricity demand, market rules and interregional transmission network.

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IEA. All rights reserved

China Power System Transformation Power system transformation pathways for China to 2035

Figure 26.

 

Energy access, electricity consumption and generation capacity, China, 1990–2016

%

 

 

Electricity access

 

GW

 

 

 

Electricity generation capacity and consumption

 

 

 

 

 

kWh p e r cap ita

 

100

 

 

 

 

 

 

 

 

 

2 000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

5 000

 

Ele ctricity

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

90

 

 

 

 

 

 

 

 

 

1 800

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

4 500

 

acce ss

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

80

 

 

 

 

 

 

 

 

 

1 600

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

4 000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

70

 

 

 

 

 

 

 

 

 

1 400

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

3 500

 

Ge ne ratio n

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

60

 

 

 

 

 

 

 

 

 

1 200

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

3 000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

cap acity

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

50

 

 

 

 

 

 

 

 

 

1 000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2 500

 

(le ft axis)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

40

 

 

 

 

 

 

 

 

 

800

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2 000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

30

 

 

 

 

 

 

 

 

 

600

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1 500

 

Pe r-cap ita

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

20

 

 

 

 

 

 

 

 

 

400

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1 000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

10

 

 

 

 

 

 

 

 

 

200

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

500

 

co nsumption

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(rig ht axis)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

0

 

 

 

 

2002

2005

2008

2011

0

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

0

 

 

1990

1993

1996

1999

2014

 

1990

1992

1994

1996

1998

2000

2002

2004

2006

2008

2010

2012

 

2014

2016

 

 

 

Notes: GW = gigawatt; kWh = kilowatt hour.

Sources: The World Bank (2018), World Bank Open Data, https://data.worldbank.org/; United Nations (2019), UNData, http://data.un.org/.

China’s power system has experienced rapid expansion over previous decades.

As a result, clean energy, and especially variable renewable energy (VRE), has seen large and rapid expansion. However, this expansion, combined with a very large coal fleet and more modest rates of growth in power demand, has highlighted limitations in the flexibility of China’s power system. Although profound achievements have been made in the ongoing Document No. 9 round of reform (see Chapter 2 and IEA [2018b]) as well as in reducing VRE curtailment, a deeper transformation towards a cleaner and fully efficient system has yet to be realised and still requires focus.

Achieving a “Beautiful China”

The transformation of China’s power system depends on the outcome of a number of transitions that are underway, supported by policies aimed at achieving a more sustainable development model for future prosperity. The “Beautiful China” initiative is among the most important guiding principles for this transformation. To support the overarching goal of a “Beautiful China”, the government is implementing domestic policies addressing regional development and environmental protection.

The “Beautiful China” initiative was proposed at the 19th National Congress in October 2017 as the general blueprint for China’s future development (Xi, 2017). The initiative aims to address what the government sees as China’s main development challenge: the contradiction between unbalanced development and the people’s ever-growing need for a better life. Targets have been articulated for two main years. First, by 2035 the target is to generally realise modernisation, i.e. a more advanced economy, while increasing equality in urban–rural development and in regional development levels, alongside a much better environment and the “ecological civilisation”. Second, by 2050 the target is essentially to achieve widescale modernisation in all respects, notably economics and trade, science and technology, military and defence, culture and governance.

Following the general policy framework, the economy is starting to orientate away from a reliance on export-driven, heavy industrial sectors towards domestic consumption, higher

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China Power System Transformation

Power system transformation pathways for China to 2035

value-added manufacturing and services, which affects regional power consumption. In parallel, more stringent environmental policies have been promulgated to reduce air pollutants and greenhouse gas emissions. The policies include curbing overcapacity in heavily polluting, carbon-intensive industries by closing down the oldest and least-efficient factories. More environmentally friendly electricity sources are expected to see a dramatic increase in capacity. These policies have been considered and included in the modelling exercises presented in this chapter, in particular the regional shift in industrial consumption (more detail can be found in Annex A).

Key variables for system transformation

China is shaping its future power system by continuously focusing on energy efficiency, adopting renewable energy, containing construction of new coal-fired plants and taking steps towards substantially reducing its coal utilisation in the long term. In addition, the desired shift in industrial structure away from heavy industry and towards knowledge-intensive industries and services is anticipated to reduce the energy intensity of China’s economy.

In 2017 China’s total installed power generation capacity increased by 127 GW. Two-thirds of this growth came from renewables, including rapid growth in wind and solar photovoltaic (PV) (see Figure 27). However, due to the limited flexibility of the power system – a combination of operational, economic and technical factors – China had to curtail over 100 terawatt hours (TWh) of power generated from VRE.

Figure 27.

Capacity and generation of wind and solar PV

 

 

 

 

 

 

 

 

 

 

350

GW

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

500

TWh

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

300

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

450

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

400

 

 

 

 

 

 

 

 

 

 

 

250

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

350

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

200

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

300

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

250

 

 

 

 

 

 

 

 

 

 

 

150

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

200

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

100

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

150

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

50

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

100

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

50

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

0

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2010

2011

2012

2013

2014

2015

2016

2017

02010

2011

2012

2013

2014

2015

2016

2017

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Wind

 

 

 

 

 

 

 

PV

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Source: IEA (2018c), Renewables 2018.

Significant increases in wind and solar PV capacity have been achieved in China over the past seven years, and this trend is expected to continue.

In 2015 China launched its Document No. 9 reform programme, which has already achieved substantive progress in improving VRE integration and system efficiency. For example, transmission and distribution tariffs have been published; double-digit percentages of electricity are being traded through energy trading institutions; final customer tariffs are being defined according to the market for large customers; and the first spot market pilots are being implemented (for details see IEA [2018b]).

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China Power System Transformation

Power system transformation pathways for China to 2035

However, a systemic transformation has yet to be realised, with several crucial issues in need of a good solution. Chapter 2 of this report has given an overview of the basic characteristics of the current Chinese power system and highlighted the objectives of the Document No. 9 round of reform. Chapters 3 and 4 of this report have provided an international perspective on establishing a market-based power system with the application of upgraded system planning and operation and power trading, in the context of global trends in power system evolution and future potential flexibility sources. Simultaneously considering the context of China’s power system, international experiences and global trends, three major variables could be crucial for determining the speed and extent to which China can transform its power system:

Dispatch order: the “fair dispatch” methodology has long been adopted together with benchmark pricing to secure power generation investment (see Chapter 2 for a detailed explanation of fair dispatch). However, this dispatching order inherently creates inflexibility, which has become apparent as VRE capacity has increased rapidly. Transitioning to economic dispatch, which is a cost-optimised order of dispatch based on short-run marginal costs of each technology (subject to relevant system constraints), will be necessary to meet the target of both a clean and economically efficient power system in the future.

Interregional trading: due to its large geographical area and climatic diversity, China has a diverse endowment of generation resources and demand patterns. Integration of the power system at a regional level could therefore offer important benefits. As an extension of this, investigating the potential of interregional trading would be an important activity – not only to understand how to unleash the potential of existing and committed interconnectors, but also to examine the necessity of investing in new interconnectors in the future to accommodate demand growth and power sector transformation.

Demand-side response (DSR), storage and efficient end-use electrification: in a future power system with a high share of VRE, system flexibility is a crucial issue to consider. These flexibility options could provide a large amount of flexibility that is complementary to a supply side that is dominated by VRE. Storage options include thermal, electrochemical (batteries) and pumped storage hydropower (PSH), while efficient end-use electrification includes electric vehicles (EVs) and water and space heating.

Given that there is no single pathway for the future of China’s power system, this report uses a scenario-based approach to highlight the key policy choices, consequences and contingencies that lie ahead, and to illustrate how the course of the power system in China might be affected by making changes to the crucial variables described above. This approach is underpinned by system-wide modelling that covers all fuels, technologies and regions. As explained in the next section, the main scenarios are based on the IEA WEO 2018.

Different power system pathways

This section introduces the pathways which underpin the power sector modelling exercise. The national-level features of the scenarios are based on the IEA WEO 2018. WEO is the IEA flagship publication, widely recognised as one of the most authoritative sources for global energy projections and analysis. It presents mediumto long-term energy market projections and extensive statistics, analysis and advice for both governments and the energy business. Previous editions of the WEO specifically focused on China’s energy sector (IEA, 2017) and the future of the global energy sector given the increasingly important role of electricity (IEA, 2018a). Box 24 describes key findings from WEO related to China’s power sector and global electrification.

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