Setting requirements to carbon intensity of thermal power plants

The article proposes and substantiates benchmarks of specific greenhouse gas emissions as targets to turn to more advanced and environmentally friendly production mode while reducing carbon intensity of the thermal power industry. Restrictive and stimulating levels of CO 2 emissions for thermal power plants were determined based on industry benchmarking results for different types of fuels and power stations, taking into account the actual condition of the operational equipment. Three approaches to determining carbon intensity benchmarks are considered: per ton of oil equivalent burnt (t CO 2 -eq /t), per unit of generated electric energy (t CO 2 -eq /MWh), and per unit of generated thermal energy (t CO 2 -eq /Gcal). The study demonstrates that setting restrictive benchmarks for the use of coal in the thermal power industry would not contribute to a significant reduction of greenhouse gas emissions and slow down Best Available Techniques implementation on pulverized coal-fired thermal power plants. Therefore, the authors propose to establish carbon intensity targets taking into account both the economic and technological status of the energy sector. Additionally, the paper proposes restrictive and stimulating benchmarks for carbon intensity in electricity generation at thermal power plants to promote further reductions in greenhouse gas emissions.

Authors

Institutions

Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202562303009
Citations
1
Primary Topic
Environmental Policies and Emissions
Type
article
Field-Weighted Citation Impact
0.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Setting requirements to carbon intensity of thermal power plants

M.V. Dobrokhotova, P. V. Roslyakov, К.А. Щелчков, О. Е. Кондратьева et al.
1 citations
E3S Web of Conferences
Environmental Policies and Emissions
0.50
article

Setting requirements to carbon intensity of thermal power plants

M.V. Dobrokhotova, P. V. Roslyakov, К.А. Щелчков, О. Е. Кондратьева, Tatiana Guseva
article en
1 citations

Abstract

The article proposes and substantiates benchmarks of specific greenhouse gas emissions as targets to turn to more advanced and environmentally friendly production mode while reducing carbon intensity of the thermal power industry. Restrictive and stimulating levels of CO 2 emissions for thermal power plants were determined based on industry benchmarking results for different types of fuels and power stations, taking into account the actual condition of the operational equipment. Three approaches to determining carbon intensity benchmarks are considered: per ton of oil equivalent burnt (t CO 2 -eq /t), per unit of generated electric energy (t CO 2 -eq /MWh), and per unit of generated thermal energy (t CO 2 -eq /Gcal). The study demonstrates that setting restrictive benchmarks for the use of coal in the thermal power industry would not contribute to a significant reduction of greenhouse gas emissions and slow down Best Available Techniques implementation on pulverized coal-fired thermal power plants. Therefore, the authors propose to establish carbon intensity targets taking into account both the economic and technological status of the energy sector. Additionally, the paper proposes restrictive and stimulating benchmarks for carbon intensity in electricity generation at thermal power plants to promote further reductions in greenhouse gas emissions.

E3S Web of ConferencesVol. 623
Moscow Power Engineering Institute (RU), Moscow State Industrial University (RU)
Openalex Percentile: Top 42%
Environmental Policies and Emissions
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.