A study on carbon cap and trade effect to cost of electricity in accordance with the Merit Order of 300-400 MW coal power plants

Abstract Electricity is the basis of national development in a country. Power plants in Indonesia produces up to 283.8 TWh and are dominated by coal power plants which increase the amount of the greenhouse gases (GHG). In order to prevent more environmental problems, Indonesia ratified Paris Agreement by publishing the roadmap of Nationally Determined Contribution (NDC) that committed in reducing 29% of GHG emissions in 2030, which 11% of them are from the energy sector contributions. This research focuses on the implementation of the carbon cap and trade (CAT) between coal power plants having 300-400 MW capacity, which can affect their cost of electricity (Rp/kWh). It is well known that cap and trade (CAT) is a method used for reducing the mitigation cost of emission reduction in an effective way. From this research, it is found that the highest rise of incremental cost belongs to the 300 MW power plant in scenario 9 and the increase is from Rp.431.00/kWh to Rp.462.77/kWh, or approximately 7.37%. This research also shows that the most optimal carbon price is in the range of Rp. 130,165 to Rp.130,183 because the rank of the 330 MW and 400 MW power plant in merit order changes over in this condition. In the future, this research can be used as a comparison with the higher coal power plant capacity, so that an alternative way is obtained to determine the more optimal merit order.

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The Effect of the Carbon Tax Value on the Optimal Parameters and Characteristics of Coal Power Plants

Environmental and Climate Technologies ◽

10.2478/rtuect-2020-0089 ◽

2020 ◽

Vol 24 (3) ◽

pp. 104-111

Author(s):

Alexander Kler ◽

Pavel Zharkov ◽

Yulia Potanina ◽

Andrey Marinchenko ◽

Nikolai Epishkin

Keyword(s):

Power Plant ◽

Power Plants ◽

Carbon Tax ◽

Environmental Indicators ◽

Steam Boiler ◽

Optimal Parameters ◽

Specific Investment ◽

Investment Optimization ◽

Coal Power Plants ◽

Coal Power

AbstractThe paper investigates the effect of the carbon tax on the optimal parameters and indicators of two coal power plants: a steam turbine power unit with coal dust burning in a steam boiler and an internal gasification combined cycle power plant. Sufficiently detailed mathematical models have been developed for the considered plants that are focused on calculating the flow rates of working fluids and coolants and thermodynamic parameters at all points of the flowcharts, as well as the structural characteristics of the plant elements. The problems of optimizing the parameters of these plants related to the problems of nonlinear mathematical programming are formulated. As an efficiency criterion, the price of electricity is used at given value of the internal rate of return on investment. Optimization calculations were carried out with a carbon tax in the range from 0 $/t to 140 $/t in increments of 20 $/t. It is shown that with an increase in the charge for emissions, the optimal efficiency of the plants increases, as well as the specific investment. Specific CO2 emissions are reduced. Throughout the entire range of carbon tax values, IGCC power plant has the best economic and environmental indicators.

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The Impact of Electricity Market and Environmental Regulation on Carbon Capture & Storage (CCS) Development in China

Green Finance and Sustainability ◽

10.4018/978-1-60960-531-5.ch024 ◽

2011 ◽

pp. 463-471

Author(s):

Zhao Ang

Keyword(s):

Environmental Regulation ◽

Electricity Market ◽

Carbon Capture ◽

Power Plants ◽

Carbon Price ◽

Intellectual Property Right ◽

Chinese Government ◽

Coal Power Plants ◽

Coal Power ◽

The Impact

Carbon Capture & Storage (CCS) has been regarded as a significant mitigation strategy to tackle global warming although the uncertainties of carbon price and CCS technology exist. Given that China is the biggest coal consumer and around four fifths of its electricity comes from coal power plants, many think CCS has to plays a central role in cutting the carbon emission of China’s coal power fleet. Most existing researches on CCS development in China emphasize the importance of sufficient funding, technological access, and market readiness, but put little light on the role of environmental regulation and electricity market establishment. This chapter examines the impact of Chinese electricity market establishment and environmental regulatory institution on CCS. This chapter argues that Chinese government should protect Intellectual Property Right (IPR), liberalize electricity market, and enforce environmental regulation in order to harvest CCS benefits successfully.

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Residents’ Cognition and Behavior Related to Eco-Environmental Risks from the Development of Large Coal Power Plants: A Case Study in Xilinhot, Inner Mongolia

Sustainability ◽

10.3390/su13147813 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7813

Author(s):

Yan Ma ◽

Zhiguo Cao ◽

Shuyi Li ◽

Bowen Lv ◽

...

Keyword(s):

Power Plant ◽

Power Plants ◽

Field Research ◽

Environmental Risks ◽

Adaptive Behaviors ◽

Coal Power Plant ◽

Coal Power Plants ◽

Coal Power ◽

Questionnaire Surveys ◽

And Behavior

The development of large coal power plants is often accompanied by environmental pollution, thereby influencing the lives of the surrounding residents, resulting in a “not-in-my-backyard” effect and associated social injustice. To mitigate these influences, we conducted field research and questionnaire surveys with individuals living in areas around the Xilinhot coal power plant to explore their cognitive and behavioral psychological changes in response to the environmental risks of the coal power plant and the factors influencing such changes. A “cognition-perception-behavior” model was constructed for residents coping with the ecological environment influenced by the development of the coal power plant. Cognition of eco-environmental risks had a significant effect on the perception of eco-environmental risks which, in turn, significantly promoted the adoption of adaptive behaviors. Residents had a strong cognition and perception of eco-environmental risks but an extremely low likelihood of adopting relevant adaptive behaviors. Thus, affective responses can increase the residents’ cognition and perception of eco-environmental risks, and the communication of risk information can help them evaluate eco-environmental risks rationally.

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Experimental study applied to the lime hydration process, in a thermoelectric coal power plant unit

10.21203/rs.3.rs-66834/v1 ◽

2020 ◽

Author(s):

Rodrigo Saraiva Dantas ◽

Maria Alejandra Liendo ◽

Vera Lucia Duarte Ferreira ◽

Rodrigo Bortoluzzi

Keyword(s):

Power Plant ◽

Power Plants ◽

Hydrated Lime ◽

Hydration Process ◽

Maximum Temperature ◽

Main Process ◽

Coal Power Plants ◽

Coal Power ◽

The Impact

Abstract Coal Power Plants need to control SO 2 emissions to the atmosphere from the boiler flue gases, in order to reach standards according to guidelines determined by the Conselho Nacional de Meio Ambiente - CONAMA. For this purpose hydrated lime is used, which is, in fact, produced from lime at the power plant. Hydrated lime is injected into the equipment called desulphuriser that operates capturing the sulfur dioxide from the boiler flue gas. Due to the importance of this process, the present work aimed to evaluate several points that involve: the production of hydrated lime from lime, the analysis of the quality of lime received, the study of the hydration process. Moreover it was evaluated the impact of the temperature of reaction through to the hydration efficiency according to the methodology and routine proposed. In addition, complementary analysis were carried out on the characterization of lime and hydrated lime and the correlation between the main process parameters measured and recorded in lime hydration control system. In relation to the results of hydration efficiency, it was possible to observe its increase when the maximum temperature of the reaction stage was lower, reaching results up to 85%.

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Bottom Ash of the Largest Kuzbass Coal Power Plants: Secondary Use Possibility

E3S Web of Conferences ◽

10.1051/e3sconf/202131502012 ◽

2021 ◽

Vol 315 ◽

pp. 02012

Author(s):

Aleksey Kargin ◽

Nikolay Mashkin

Keyword(s):

Power Plant ◽

Power Plants ◽

Building Materials ◽

Activity Index ◽

Bottom Ash ◽

Raw Material ◽

Coal Power Plant ◽

Secondary Use ◽

Coal Power Plants ◽

Coal Power

Kemerovo district coal power plant, Tom-Usinskaya district coal power plant and Belovo district coal power plant are the largest coal power plants in Kuzbass and during the combustion of coal they generate annually about 1600 tons of coal ash which consists of fly ash and bottom ash. Almost all the generated ash is disposed into ash dumps except a small quantity of fly ash (3.5%) that is effectively utilized. Therefore, secondary use of the bottom ash can be a sustainable solution for reducing its by-products and overcoming the scarcity of raw materials required for construction work. Therefore, the main aim of this research was to determine the chemical composition and granulometric properties of bottom ash to find out the possibility of using it as raw material for the building materials production. A series of laboratory experiments were conducted to determine basicity index, activity index, average grain density, bulk density, true density and grain size distribution. The experimental results reveal that the particle size of ash is predominantly sand-sized while containing some silt-sized and rubble-sized fractions as well. The studied bottom ash has a low basicity and activity index, respectively, does not have independent hydraulic activity. Thus, bottom ash of the largest Kuzbass coal power plants can be used as raw material for the building materials production.

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