Carbon dioxide emission from the Turkish electricity sector and its mitigation options

Ari, İzzet; Köksal, Merih Aydınalp

doi:10.1016/j.enpol.2011.07.012

Cited by 54 publications

(11 citation statements)

References 3 publications

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“…The transformation of the electric power sector towards a more sustainable form of energy production based on renewable energies is a key measure to fight climate change and resource depletion (Ari and Koksal, 2011;IPCC, 2007). Accordingly, the German federal government strives to produce 80% of the country's' electricity from renewable energy sources until 2050 (BMWI and BMU, 2010).…”

Section: Introductionmentioning

confidence: 99%

Business model innovation for sustainable energy: German utilities and renewable energy

2013

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The electric power sector stands at the beginning of a fundamental transformation process towards a more sustainable production based on renewable energies. Consequently, electric utilities as incumbent actors face a massive challenge to find new ways of creating, delivering, and capturing value from renewable energy technologies. This study investigates utilities' business models for renewable energies by analyzing two generic business models based on a series of in-depth interviews with German utility managers. It is found that utilities have developed viable business models for large scale utility-side renewable energy generation and invest huge sums in this field. At the same time, utilities lack adequate business models to commercialize small scale customer-side renewable energy technologies. By combining the business model concept with innovation theory a new perspective on the energy transition is suggested and applied. Furthermore, practical recommendations for utility mangers are provided how to create and capture more value in the energy transition.

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Section: Introductionmentioning

confidence: 99%

Business model innovation for sustainable energy: German utilities and renewable energy

2013

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“…The potential for carbon emissions reduction in the power industry was analyzed through a comparison of different scenarios, and the costs of key measures were quantified. Ari and Koksal [34] studied the carbon emissions from Turkey's electricity production and developed four scenarios based on different fuel mixtures. The results from these scenarios show that if the proportion of fossil energy inputs is reduced, carbon emissions from electricity production will be significantly reduced.…”

Section: Literature Reviewmentioning

confidence: 99%

Influencing Factors and Scenario Forecasts of Carbon Emissions of the Chinese Power Industry: Based on a Generalized Divisia Index Model and Monte Carlo Simulation

Zhu

Shang

et al. 2018

Energies

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The power industry is the industry with the most direct uses of fossil fuels in China and is one of China’s main carbon industries. A comprehensive and accurate analysis of the impacts of carbon emissions by the power industry can reveal the potential for carbon emissions reductions in the power industry to achieve China’s emissions reduction targets. The main contribution of this paper is the use of a Generalized Divisia Index Model for the first time to factorize the change of carbon emissions in China’s power industry from 2000 to 2015, and gives full consideration to the influence of the economy, population, and energy consumption on the carbon emissions. At the same time, the Monte Carlo method is first used to predict the carbon emissions of the power industry from 2017 to 2030 under three different scenarios. The results show that the output scale is the most important factor leading to an increase in carbon emissions in China’s power industry from 2000 to 2015, followed by the energy consumption scale and population size. Energy intensity levels have always promoted carbon emissions reduction in the power industry, where energy intensity and carbon intensity effects of energy consumption have great potential to mitigate carbon levels. By setting the main factors affecting carbon emissions in the future three scenarios, this paper predicts the carbon emissions of China’s power industry from 2017 to 2030. Under the baseline scenario, the maximum probability range of the potential annual growth rate of carbon emissions by the power industry in China from 2017 to 2030 is 1.9–2.2%. Under the low carbon scenario and technological breakthrough scenario, carbon emissions in China’s power industry continue to decline from 2017 to 2030. The maximum probability range of the potential annual drop rate are measured at 1.6–2.1% and 1.9–2.4%, respectively. The results of this study show that China’s power industry still has great potential to reduce carbon emissions. In the future, the development of carbon emissions reduction in the power industry should focus on the innovation and development of energy saving and emissions reduction technology on the premise of further optimizing the energy structure and adhering to the low-carbon road.

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“…During the calculation of CO 2 emission from electricity generation, IPCC Tier-1 methodology and emission factor, created for Turkey, are used [3]. Each scenario has different CO 2 emission pathways.…”

Section: Projections For Co 2 Emissions From Electricity Generationmentioning

confidence: 99%

The role of feed-in tariffs in emission mitigation: Turkish case

Ari

Sarı

2015

Renewable and Sustainable Energy Reviews

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Carbon dioxide emission from the Turkish electricity sector and its mitigation options

Cited by 54 publications

References 3 publications

Business model innovation for sustainable energy: German utilities and renewable energy

Business model innovation for sustainable energy: German utilities and renewable energy

Influencing Factors and Scenario Forecasts of Carbon Emissions of the Chinese Power Industry: Based on a Generalized Divisia Index Model and Monte Carlo Simulation

The role of feed-in tariffs in emission mitigation: Turkish case

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