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Emissions from the potential installation of distributed energy resources (DER) in the place of current utility-scale power generators have been introduced into an emissions inventory of the northeastern United States. A methodology for predicting future market penetration of DER that considers economics and emission factors was used to estimate the most likely implementation of DER. The methodology results in spatially and temporally resolved emission profiles of criteria pollutants that are subsequently introduced into a detailed atmospheric chemistry and transport model of the region. The DER technology determined by the methodology includes 62% reciprocating engines, 34% gas turbines, and 4% fuel cells and other emerging technologies. The introduction of DER leads to retirement of 2625 MW of existing power plants for which emissions are removed from the inventory. The air quality model predicts maximum differences in air pollutant concentrations that are located downwind from the central power plants that were removed from the domain. Maximum decreases in hourly peak ozone concentrations due to DER use are 10 ppb and are located over the state of New Jersey. Maximum decreases in 24-hr average fine particulate matter (PM2.5) concentrations reach 3 microg/m3 and are located off the coast of New Jersey and New York. The main contribution to decreased PM2.5 is the reduction of sulfate levels due to significant reductions in direct emissions of sulfur oxides (SO(x)) from the DER compared with the central power plants removed. The scenario presented here represents an accelerated DER penetration case with aggressive emission reductions due to removal of highly emitting power plants. Such scenario provides an upper bound for air quality benefits of DER implementation scenarios.
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http://dx.doi.org/10.3155/1047-3289.58.7.902 | DOI Listing |
Sci Rep
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.
View Article and Find Full Text PDFEnviron Res
September 2025
Shandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Binzhou Shandong, 256603, China.
Agricultural nonpoint source pollution (NPSP) is a serious environmental problem globally. Soil nitrogen (N) loss can cause eutrophication. Soil microorganisms are the key factor influencing soil N.
View Article and Find Full Text PDFJ Colloid Interface Sci
September 2025
State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Hubei, Wuhan, 430074, China.
Commercial V-W/TiO catalysts are extensively applied for NO emission control in coal-fired power plants. However, their limited operating temperature range and low active site utilisation significantly restrict NO removal efficiency, particularly during boiler load fluctuations. This study introduces atomically dispersed Ce-V/TiO catalysts synthesised using a dual-site coordination strategy, enhancing active site dispersion.
View Article and Find Full Text PDFJ Environ Radioact
September 2025
Institute of Radiation Emergency Medicine, Hirosaki University, 66-1 Hon-cho, Aomori, 036-8564, Japan.
The radiological accidents that occurred at the Chernobyl and Fukushima Daiichi nuclear power plants resulted in the release of a substantial amount of radioactive material into the environment, requiring evacuation of residents. Evacuations caused involuntary abandonment of many pets, and both feral dogs and cats can still be found in exclusion zones of Chernobyl and Fukushima, likely offspring of pets left behind. Animal welfare groups have provided care for these forsaken animals, oftentimes rescuing them and subsequently facilitating their adoption, or in some cases reuniting them with their original owners.
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