European electricity sector decarbonization under different levels of foresight

Gerbaulet, Clemens; Hirschhausen, Christian von; Kemfert, Claudia; Lorenz, Casimir; Oei, Pao-Yu

doi:10.1016/j.renene.2019.02.099

Cited by 106 publications

(46 citation statements)

References 40 publications

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“…In general, the results show that the largest number of greenhouse gases and air pollutants in 2017 were emitted by these three countries in which total mineral production [30] was the largest. In addition, coal is one of the basic raw materials mined in both Germany and Poland [31][32][33]. A much smaller share of this raw material occurs in UK, where it accounted for only 1.5% of the total mineral production in 2017 [75].…”

Section: Analysis Of Similarities Between the Eu Countries In Terms Omentioning

confidence: 99%

“…However, in Europe, a decrease in this extraction has been observed ( Figure 1) [30]. This is mainly due to the decarbonization of the energy sector, which results in a decrease in coal production [31][32][33][34]. These changes in the volume of extraction of raw materials on individual continents can be noted in the diagram presented in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…The adopted assumptions and actions to reduce greenhouse gas and air pollutant emissions are reported to bring noticeable effects. They are mainly caused by the decarbonization of the EU countries and the closure of coal mines [31,32].…”

Section: Introductionmentioning

confidence: 99%

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The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

Brodny

Tutak

2020

Energies

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The European Union (EU) is considered one of the most economically developed regions worldwide. It was driven by the mining industry for several decades. Despite certain changes in this area, a number of mineral and energy resources are still being mined in the EU. Nevertheless, mining activities are accompanied by many unfavorable phenomena, especially for the environment, such as greenhouse gas and air pollutant emissions. The great diversity of the EU countries in terms of the size of the "mining and quarrying" sector means that both the volume and structure of these emissions in individual countries varies. In order to assess the current state of affairs, research was conducted to look at the structure and volume of these emissions in individual EU countries. The aim of the study was to divide these countries into homogenous groups by structure and volume of studied emissions. In order to reflect both the specificity and diversity of the EU countries, this division was based on the seven most important gases (CO 2 , CH 4 , N 2 O, NH 3 , NMVOC, CO, NO x ) and two types of particulate matter (PM 2.5, PM 10) emitted into the atmosphere from the sector in question. The volume of studied emissions was also compared to the number of inhabitants of each EU country and the gross value added (GVA) by the mining and quarrying sector. This approach enabled a new and broader view on the issue of gas and air pollutant emissions associated with mining activities. The artificial Kohonen's neural networks were used for the analysis. The developed method, the analyses and the results constitute a new approach to studying such emissions in the EU. Research that looks only at the emission of harmful substances into the environment in relation to their absolute values fail to fully reflect the complexity of this problem in individual EU countries. The presented approach and the results should broaden the knowledge in the field of harmful substance emissions from the mining and quarrying sector, which should be utilized in the process of implementing the new European climate strategy referred to as "The European Green Deal".

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Section: Analysis Of Similarities Between the Eu Countries In Terms Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

Brodny

Tutak

2020

Energies

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“…Brown et al [17] use a spatially and temporally resolved sector-coupled model of Europe (PyPSA-EUR-SEC-30) to assess the impact of either expanded cross-border transmission capacities or sector coupling in a 95% carbon dioxide reduction scenario. Gerbaulet et al [18] develop decarbonization scenarios of the European electricity sector. Schlachtberger et al [19] develop cost optimal scenarios of the European electricity system with special respect to weather data, cost parameters and policy constraints.…”

Section: Introductionmentioning

confidence: 99%

Potential for Optimization in European Power Plant Fleet Operation

et al. 2020

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Energy policy makers need information about the greenhouse gas reduction potential that could be realized by changes to the operation of the currently existing European power plant fleet to enable short-term actions. Possible measures could reduce the climate impact of the European electricity system and, additionally, be realized quickly as new investments are avoided. In this paper, the Calliope based energy system model Stella of the European electricity system is presented and used for the first time, with the goal to quantify cost and CO 2 emissions optimal operation strategies of the existing European power plant fleet. By applying the model to six scenarios the results show that the greenhouse gas emissions of the European power plant fleet could be reduced by more than 50% with little additional costs compared to today’s power generation mix. It is shown that historic power plant operation follows only economic considerations while not fully covering its climate impact. The results demonstrate to policy makers the scale of reduction potential that could be achieved by short-term actions.

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“…Nilsson et al [6] proposed an interdisciplinary framework to evaluate demand response based on price and environmental signals. Gerbaulet et al [7] proved that the integration of storage and DSM, as well as other mechanisms, could lead to a decarbonization of the entire energy sector by 2050. This is also supported by Child [8], considering also the integration of flexibility services and interconnections.…”

Section: Introductionmentioning

confidence: 99%

The Potential Role of Flexibility During Peak Hours on Greenhouse Gas Emissions: A Life Cycle Assessment of Five Targeted National Electricity Grid Mixes

et al. 2019

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On the path towards the decarbonization of the electricity supply, flexibility and demand response have become key factors to enhance the integration of distributed energy resources, shifting the consumption from peak hours to off-peak hours, optimizing the grid usage and maximizing the share of renewables. Despite the technical viability of flexible services, the reduction of greenhouse gas emissions has not been proven. Traditionally, emissions are calculated on a yearly average timescale, not providing any information about peak hours’ environmental impact. Furthermore, peak-hours’ environmental impacts are not always greater than on the base load, depending on the resources used for those time periods. This paper formulates a general methodology to assess the potential environmental impact of peak-hourly generation profiles, through attributional life cycle assessment. This methodology was applied to five different countries under the INVADE H2020 Project. Evaluation results demonstrate that countries like Spain and Bulgaria could benefit from implementing demand response activities considering environmental aspects, enhancing potential greenhouse gas reductions by up to 21% in peak hours.

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European electricity sector decarbonization under different levels of foresight

Cited by 106 publications

References 40 publications

The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union

Potential for Optimization in European Power Plant Fleet Operation

The Potential Role of Flexibility During Peak Hours on Greenhouse Gas Emissions: A Life Cycle Assessment of Five Targeted National Electricity Grid Mixes

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