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Over one-third of energy is generated from coal consumption in Taiwan. In order to estimate the health impact assessment attributable to PM concentrations emitted from coal consumption in Taiwan. We applied a Gaussian trajectory transfer-coefficient model to obtain county-wide PM exposures from coal consumption, which includes coal-fired power plants and combined heat and power plants. Next, we calculated the mortality burden attributable to PM emitted by coal consumption using the comparative risk assessment framework developed by the Global Burden of Disease study. Based on county-level data, the average PM emissions from coal-fired plants in Taiwan was estimated at 2.03 ± 1.29 (range: 0.32-5.64) μg/m. With PM increments greater than 0.1 μg/m, there were as many as 16 counties and 66 air quality monitoring stations affected by coal-fired plants and 6 counties and 18 monitoring stations affected by combined heat and power plants. The maximum distances affected by coal-fired and combined heat and power plants were 272 km and 157 km, respectively. Our findings show that more counties were affected by coal-fired plants than by combined heat and power plants with significant increments of PM emissions. We estimated that 359.6 (95% CI: 334.8-384.9) annual adult deaths and 124.4 (95% CI: 116.4-132.3) annual premature deaths were attributable to PM emitted by coal-fired plants in Taiwan. Even in six counties without power plants, there were 75.8 (95% CI: 60.1-91.5) deaths and 25.8 (95%CI: 20.7-30.9) premature deaths annually attributable to PM emitted from neighboring coal-fired plants. This study presents a precise and effective integrated approach for assessing air pollution and the health impacts of coal-fired and combined heat and power plants.
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http://dx.doi.org/10.3390/ijerph19031599 | DOI Listing |
Environ Monit Assess
September 2025
Department of Environment and Life Science, KSKV Kachchh University, Bhuj, Gujarat, 370 001, India.
India's energy demand increased by 7.3% in 2023 compared to 2022 (5.6%), primarily met by coal-based thermal power plants (TPPs) that contribute significantly to greenhouse gas emissions.
View Article and Find Full Text PDFWaste Manag
September 2025
Shanghai Engineering Research Center of Solid Waste Treatment and Resource Recovery, School of Environmental Science & Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address:
As one of the major sources of greenhouse gas (GHG) emissions, the municipal solid waste (MSW) management system was regarded as a key contributor to the construction of a low-carbon society. Understanding the evolution of waste treatment facilities and the corresponding GHG emissions was essential for assessing the low-carbon competitiveness of local communities. In this study, facility-level data were used to estimate GHG emissions from the waste management system in the Yangtze River Delta (YRD) and analyze their temporal and spatial variations.
View Article and Find Full Text PDFSci Total Environ
September 2025
Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering, "Giulio Natta" - Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
The outdoor storage of wood chips, used in biomass thermal power plants, may lead to different diffuse gaseous emissions. These emissions can contain different molecules, often with a non-negligible odour potential. Despite this need, these solid area sources are particularly complex to be characterised, due to their very high heterogeneity determined by a complex phenomenon of self-heating.
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September 2025
Fukushima Renewable Energy Institute, National Institute of Advanced Industrial Science and Technology (AIST), Fukushima, 9630298, Koriyama, Japan.
The increasing adoption of the Internet of Things (IoT) in energy systems has brought significant advancements but also heightened cyber security risks. Virtual Power Plants (VPPs), which aggregate distributed renewable energy resources into a single entity for participation in energy markets, are particularly vulnerable to cyber-attacks due to their reliance on modern information and communication technologies. Cyber-attacks targeting devices, networks, or specific goals can compromise system integrity.
View Article and Find Full Text PDFPLoS One
September 2025
School of Chemical Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Coal blending in thermal power plants is a complex multi-objective challenge involving economic, operational and environmental considerations. This study presents a Q-learning-enhanced NSGA-II (QLNSGA-II) algorithm that integrates the adaptive policy optimization of Q-learning with the elitist selection of NSGA-II to dynamically adjust crossover and mutation rates based on real-time performance metrics. A physics-based objective function takes into account the thermodynamics of ash fusion and the kinetics of pollutant emission, ensuring compliance with combustion efficiency and NOx limits.
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