China's economy will 'decarbonise' as coal use falls

Significance Signs of falling coal use, despite concern over major revisions to baseline data, suggest China has established a structural shift towards power sector decarbonisation that fits well with its broader industrial and economic strategy. Impacts Major coal exporters cannot count on China as a source of coal demand growth. China is likely to be left with significant stranded coal-fired plant assets. Low-carbon energy technologies will reduce China's growing dependence on imported energy commodities.

Author(s):  
Kathleen Araújo

Nuclear energy is one of the most significant sources of low carbon energy in use in the power sector today. In 2013, nuclear energy represented roughly 11% of the global electricity supply, with growth projected to occur in China, India, and Russia (International Atomic Energy Agency [IAEA], n.d.a; NEA, n.d.). As a stable source of electricity, nuclear energy can be a stand-alone, base-load form of electricity or complement more variable forms of low carbon energy, like wind and solar power. Among the energy technologies considered here, nuclear energy is complex not only for the science behind it, but also for its societal, environmental, and economic dimensions.This chapter explores the rapid rise of French nuclear energy in the civilian power sector. It considers what a national energy strategy looks like under conditions of high concern about energy supply security when limited domestic energy resources appear to exist. The case reveals that centralized planning with complex and equally centralized technology can be quite conducive to rapid change. However, continued public acceptance, especially for nuclear energy, matters in the durability of such a pathway. France is a traditional and currently global leader in nuclear energy, ranking the highest among countries for its share of domestic electricity derived from nuclear power at 76% of total electricity in 2015 (IAEA, n.d.b). France is highly ranked for the size of its nuclear reactor fleet and amount of nuclear generation, second only to the United States. In 2016, this nation of 67 million people and economy of $2.7 trillion had 58 nuclear power reactors (CIA, n.d.; IAEA, n.d.b). Due to the level of nuclear energy in its power mix, France has some of the lowest carbon emissions per person for electricity (IEA, 2016a). France is also one of the largest net exporters of electricity in Europe, with 61.7 TWh exported (Réseau de Transport d’électricité [RTE], 2016), producing roughly $3.3 billion in annual revenue (World Nuclear Association [WNA], n.d). This European country has the largest reprocessing capacity for spent fuel, with roughly 17% of its electricity powered from recycled fuel (WNA, n.d.).


Significance This will have significant impact on the greening of the power sector and for new technologies dependent on affordable electricity including electric vehicles and the production of bioenergy and hydrogen. Yet in some cases, progress depends on a breakthrough in carbon capture and storage (CCS). Impacts Renewable energy sectors look likely to emerge from COVID-19 impacts stronger than before. Long-term natural gas demand is at risk if CCS development is delayed or unrealised. Electrification technologies, boosted by cheaper power, may receive enhanced regulatory support.


Author(s):  
Jonas Sonnenschein

Rapid decarbonization requires additional research, development, and demonstration of low-carbon energy technologies. Various financing instruments are in place to support this development. They are frequently assessed through indicator-based evaluations. There is no standard set of indicators for this purpose. This study looks at the Nordic countries, which are leading countries with respect to eco-innovation. Different indicators to assess financing instruments are analysed with respect to their acceptance, the ease of monitoring, and their robustness. None of the indicators emerges as clearly superior from the analysis. Indicator choice is subject to trade-offs and leaves room for steering evaluation results in a desired direction. The study concludes by discussing potential policy implications of biases in indicator-based evaluation.


2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Vanesa Castán Broto ◽  
Daphne Mah ◽  
Fangzhu Zhang ◽  
Ping Huang ◽  
Kevin Lo ◽  
...  

Abstract This paper develops an integrated framework to study the socio-spatial and temporal dimensions of urban energy transitions to investigate the development and spread of solar energy technologies in urban China. A comparative analysis of three case studies of solar energy transitions in the cities of Foshan (in Guangdong), Rizhao (in Shandong), and Wuxi (in Jiangsu) demonstrates the framework’s applicability. The results map each city’s trajectory towards low carbon energy. Transitions result from dynamic interactions among central and local governments, solar manufacturers, solar installers, and residents. Alongside industrial strategies, locally-specific factors have a determining influence on the eventual outcomes.


Energy ◽  
2017 ◽  
Vol 120 ◽  
pp. 397-416 ◽  
Author(s):  
Jesús Lizana ◽  
Carlos Ortiz ◽  
Víctor M. Soltero ◽  
Ricardo Chacartegui

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Brighid Moran Jay ◽  
David Howard ◽  
Nick Hughes ◽  
Jeanette Whitaker ◽  
Gabrial Anandarajah

Low carbon energy technologies are not deployed in a social vacuum; there are a variety of complex ways in which people understand and engage with these technologies and the changing energy system overall. However, the role of the public’s socio-environmental sensitivities to low carbon energy technologies and their responses to energy deployments does not receive much serious attention in planning decarbonisation pathways to 2050. Resistance to certain resources and technologies based on particular socio-environmental sensitivities would alter the portfolio of options available which could shape how the energy system achieves decarbonisation (the decarbonisation pathway) as well as affecting the cost and achievability of decarbonisation. Thus, this paper presents a series of three modelled scenarios which illustrate the way that a variety of socio-environmental sensitivities could impact the development of the energy system and the decarbonisation pathway. The scenarios represent risk aversion (DREAD) which avoids deployment of potentially unsafe large-scale technology, local protectionism (NIMBY) that constrains systems to their existing spatial footprint, and environmental awareness (ECO) where protection of natural resources is paramount. Very different solutions for all three sets of constraints are identified; some seem slightly implausible (DREAD) and all show increased cost (especially in ECO).


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