Reducing CO2 Emissions of a Coal-Fired Power Plant via Accelerated Weathering of Limestone: Carbon Capture Efficiency and Environmental Safety

This paper assesses the relative economic and jobs benefits of retrofitting an 847 MW USA coal power plant with carbon capture, utilization, and storage (CCUS) technology compared to replacing the plant with renewable (RE) energy and battery storage. The research had two major objectives: 1) Estimate the relative environmental, economic, and jobs impacts of CCUS retrofit of the coal plant compared to its replacement by the RE scenario; 2) develop metrics that can be used to compare the jobs impacts of coal fueled power plants to those of renewable energy. The hypotheses tested are: 1) The RE option will reduce CO2 emissions more than the CCUS option. We reject this hypothesis: We found that the CCUS option will reduce CO2 emissions more than the RE option. 2) The RE option will generate greater economic benefits than the CCUS option. We reject this hypothesis: We found that the CCUS option will create greater economic and jobs benefits than the RE option. 3) The RE option will create more jobs per MW than the CCUS option. We reject this hypothesis: We found that the CCUS option will create more jobs per MW more than the RE option. We discuss the implications of these findings.

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Process simulation of a dual-stage Selexol process for 95% carbon capture efficiency at an integrated gasification combined cycle power plant

International Journal of Greenhouse Gas Control ◽

10.1016/j.ijggc.2015.04.015 ◽

2015 ◽

Vol 39 ◽

pp. 17-26 ◽

Cited By ~ 35

Author(s):

Zoe Kapetaki ◽

Pietro Brandani ◽

Stefano Brandani ◽

Hyungwoong Ahn

Keyword(s):

Power Plant ◽

Process Simulation ◽

Carbon Capture ◽

Combined Cycle ◽

Capture Efficiency ◽

Integrated Gasification Combined Cycle ◽

Combined Cycle Power Plant ◽

Dual Stage ◽

Integrated Gasification

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Analysis of CO2 Emissions in the Whole Production Process of Coal-Fired Power Plant

Sustainability ◽

10.3390/su131911084 ◽

2021 ◽

Vol 13 (19) ◽

pp. 11084

Author(s):

Han Wang ◽

Zhenghui Fu ◽

Shulan Wang ◽

Wenjie Zhang

Keyword(s):

Power Plant ◽

Production Process ◽

Co2 Emissions ◽

Carbon Capture ◽

Power Plants ◽

Desirability Function ◽

Pollutant Removal ◽

Energy Structure ◽

Lp Model ◽

The Government

The linear programming (LP) model has been used to identify a cost-effective strategy for reducing CO2 emissions in power plants considering coal washing, pollutant removal, and carbon capture processes, thus CO2 emissions in different production processes can be obtained. The direct emissions (combustion emissions and desulfurization emissions) and indirect emissions (pollutant removal, coal washing, and carbon capture) of CO2 were all considered in the LP model. Three planning periods were set with different CO2 emission control desirability to simulate CO2 emissions of the different reduction requirements. The results can reflect the CO2 emissions across the whole production process of a coal-fired power plant overall. The simulation results showed that for a coal-fired power plant containing two 1000 MW ultra super-critical sets, when the desirability was 0.9, the CO2 total emissions were 2.15, 1.84, and 1.59 million tons for the three planning periods. The research results suggest that the methodology of LP combined with fuzzy desirability function is applicable to represent the whole production process of industry sectors such as coal-fired power plants. The government policy makers could predict CO2 emissions by this method and use the results as a reference to conduct effective industrial and energy structure adjustment.

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Advanced Ultra-Supercritical Coal-Fired Power Plant with Post-Combustion Carbon Capture: Analysis of Electricity Penalty and CO2 Emission Reduction

Sustainability ◽

10.3390/su13020801 ◽

2021 ◽

Vol 13 (2) ◽

pp. 801

Author(s):

Branimir Tramošljika ◽

Paolo Blecich ◽

Igor Bonefačić ◽

Vladimir Glažar

Keyword(s):

Power Plant ◽

Co2 Emissions ◽

Carbon Capture ◽

Removal Rate ◽

Carbon Capture And Storage ◽

Total Efficiency ◽

Co2 Removal ◽

Efficiency Gain ◽

Co2 Emission Reduction ◽

Efficiency Loss

This article presents the performance analysis of a 700 MW future planned advanced ultra-supercritical (A-USC) coal-fired power plant fitted with post-combustion carbon capture and storage (CCS) technology. The reference A-USC unit without CCS achieves a net efficiency of 47.6% with CO2 emissions of 700 kgCO2/MWh. Relatively to subcritical units, the net efficiency of the A-USC is 8%-pts higher while CO2 emissions are 16.5% lower. For a CO2 removal rate of 90%, the net efficiency of the CCS integrated A-USC unit is 36.8%. The resulting net efficiency loss is 10.8%-pts and the electricity output penalty is 362.3 kWhel/tCO2 for present state CCS technology. The study continues with the assessment of interface quantities between the capture unit and the steam cycle affecting the performance of the A-USC. Improved CO2 absorbents could alleviate the net efficiency loss by 2–3%-pts, and enhanced CO2 compression strategies and advanced heat integration could further reduce the efficiency loss by 0.5–1.2%-pts and 0.4–0.6%-pts, respectively. The total efficiency gain from CCS technology upgrades is estimated at 3.6%-pts, thus bringing down the net efficiency loss to 7.2%-pts and the electricity output penalty to 241.7 kWhel/tCO2.

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Performance of an Integrated Mild/Partial Gasification Combined (IMPGC) Cycle With Carbon Capture in Comparison With Other Power Systems

Volume 6: Energy ◽

10.1115/imece2019-10279 ◽

2019 ◽

Author(s):

Henry A. Long ◽

Ting Wang

Keyword(s):

Power Plant ◽

Natural Gas ◽

Co2 Emissions ◽

Carbon Capture ◽

Rankine Cycle ◽

High Energy ◽

Combined Cycle ◽

Percentage Points ◽

Partial Gasification ◽

Better Than

Abstract With rising concerns about potential CO2 emissions and the effects of which on climate change and ocean acidification, it becomes necessary to consider developing newer and cleaner power plant technologies, including carbon capture. A conceptual clean coal technology called the Integrated Mild/Partial Gasification Combined (IMPGC) cycle implemented with a post-combustion carbon capture process is introduced in this paper. The IMPGC cycle employs mild gasification to preserve the high energy volatile matters within the coal and partial gasification to supplement the steam bottom cycle with a purely char-fired PC plant boiler. The performance of this newly conceptualized model is compared to those of other types of power plants, including natural gas combined cycle (NGCC), integrated gasification combined cycle (IGCC), and pulverized coal (PC) Rankine cycle plants under the condition that all plants utilize carbon capture in some form so as to achieve the same overall CO2 emissions as a high-performing NGCC plant. The results show that, while natural gas is still the top-performing power plant, IMPGC with carbon capture has the highest performance of all coal plants studied (∼39.7%), able to achieve the same CO2 emissions as natural gas, but with the same efficiency as a top-of-the-line subcritical Rankine cycle plant without carbon capture. This is about 2.5 percentage points better than an IGCC plant with carbon capture, ∼8 percentage points better than an ultra-supercritical Rankine cycle plant with carbon capture, and over 9 points better than a subcritical plant with carbon capture. This high performance is achieved through the use of a warm gas cleanup process based on the technology developed by RTI with the support of the U.S. Department of Energy.

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Environmental safety aspects of the new solid radioactive waste management and storage facility at the Ignalina Nuclear Power Plant

Kerntechnik ◽

10.3139/124.110174 ◽

2011 ◽

Vol 76 (5) ◽

pp. 315-323 ◽

Cited By ~ 1

Author(s):

V. Ragaisis ◽

P. Poskas ◽

V. Simonis ◽

J. E. Adomaitis

Keyword(s):

Power Plant ◽

Nuclear Power Plant ◽

Radioactive Waste ◽

Waste Management ◽

Nuclear Power ◽

Environmental Safety ◽

Storage Facility ◽

Safety Aspects ◽

Solid Radioactive Waste ◽

And Storage

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Analysis of gas turbine combined heat and power system for carbon capture installation of coal-fired power plant

Energy ◽

10.1016/j.energy.2012.04.055 ◽

2012 ◽

Vol 45 (1) ◽

pp. 125-133 ◽

Cited By ~ 5

Author(s):

Tadeusz Chmielniak ◽

Sebastian Lepszy ◽

Katarzyna Wójcik

Keyword(s):

Power Plant ◽

Power System ◽

Gas Turbine ◽

Carbon Capture ◽

Combined Heat And Power

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Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories

Atmosphere ◽

10.3390/atmos12070811 ◽

2021 ◽

Vol 12 (7) ◽

pp. 811

Author(s):

Yaqin Hu ◽

Yusheng Shi

Keyword(s):

Power Plant ◽

Co2 Emissions ◽

Atmospheric Carbon Dioxide ◽

Power Plants ◽

Large Scale ◽

Global Climate ◽

Gaussian Model ◽

Point Sources ◽

Emission Inventories ◽

Bottom Up

The concentration of atmospheric carbon dioxide (CO2) has increased rapidly worldwide, aggravating the global greenhouse effect, and coal-fired power plants are one of the biggest contributors of greenhouse gas emissions in China. However, efficient methods that can quantify CO2 emissions from individual coal-fired power plants with high accuracy are needed. In this study, we estimated the CO2 emissions of large-scale coal-fired power plants using Orbiting Carbon Observatory-2 (OCO-2) satellite data based on remote sensing inversions and bottom-up methods. First, we mapped the distribution of coal-fired power plants, displaying the total installed capacity, and identified two appropriate targets, the Waigaoqiao and Qinbei power plants in Shanghai and Henan, respectively. Then, an improved Gaussian plume model method was applied for CO2 emission estimations, with input parameters including the geographic coordinates of point sources, wind vectors from the atmospheric reanalysis of the global climate, and OCO-2 observations. The application of the Gaussian model was improved by using wind data with higher temporal and spatial resolutions, employing the physically based unit conversion method, and interpolating OCO-2 observations into different resolutions. Consequently, CO2 emissions were estimated to be 23.06 ± 2.82 (95% CI) Mt/yr using the Gaussian model and 16.28 Mt/yr using the bottom-up method for the Waigaoqiao Power Plant, and 14.58 ± 3.37 (95% CI) and 14.08 Mt/yr for the Qinbei Power Plant, respectively. These estimates were compared with three standard databases for validation: the Carbon Monitoring for Action database, the China coal-fired Power Plant Emissions Database, and the Carbon Brief database. The comparison found that previous emission inventories spanning different time frames might have overestimated the CO2 emissions of one of two Chinese power plants on the two days that the measurements were made. Our study contributes to quantifying CO2 emissions from point sources and helps in advancing satellite-based monitoring techniques of emission sources in the future; this helps in reducing errors due to human intervention in bottom-up statistical methods.

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