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63rd IEEE Conference on Decision and control, CDC 2024

作者： Guan, Yuxiang Salizzoni, Giulio Kamgarpour, Maryam Summers, Tyler H. University of Texas at Dallas Control Optimization and Networks Lab United States Systems Control and Multi-Agent Optimization Research Lab Epfl Switzerland

ISBN: (纸本)9798350316339

We present a policy iteration algorithm for the infinite-horizon N -player general-sum deterministic linear quadratic dynamic games and compare it to policy gradient methods. We demonstrate that the proposed policy iteration algorithm is distinct from the Gauss-Newton policy gradient method in the N -player game setting, in contrast to the single-player setting where under suitable choice of step size they are equivalent. We illustrate in numerical experiments that the convergence rate of the proposed policy iteration algorithm significantly surpasses that of the Gauss-Newton policy gradient method and other policy gradient variations. Furthermore, our numerical results indicate that, compared to policy gradient methods, the convergence performance of the proposed policy iteration algorithm is less sensitive to the initial policy and changes in the number of players. © 2024 IEEE.

关键词： Numerical methods

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A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games

A Policy Iteration Algorithm for N-player General-Sum Linear...

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IEEE Conference on Decision and control

作者： Yuxiang Guan Giulio Salizzoni Maryam Kamgarpour Tyler H. Summers Control Optimization and Networks Lab University of Texas at Dallas Systems Control and Multi-Agent Optimization Research Lab EPFL

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

关键词： Gradient methods Heuristic algorithms Games Nash equilibrium Convergence

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A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games

arXiv

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arXiv 2024年

作者： Guan, Yuxiang Salizzoni, Giulio Kamgarpour, Maryam Summers, Tyler H. The Control Optimization and Networks Lab University of Texas at Dallas United States The Systems Control and Multi-Agent Optimization Research Lab EPFL Switzerland

We present a policy iteration algorithm for the infinite-horizon N-player general-sum deterministic linear quadratic dynamic games and compare it to policy gradient methods. We demonstrate that the proposed policy iteration algorithm is distinct from the Gauss-Newton policy gradient method in the N-player game setting, in contrast to the single-player setting where under suitable choice of step size they are equivalent. We illustrate in numerical experiments that the convergence rate of the proposed policy iteration algorithm significantly surpasses that of the Gauss-Newton policy gradient method and other policy gradient variations. Furthermore, our numerical results indicate that, compared to policy gradient methods, the convergence performance of the proposed policy iteration algorithm is less sensitive to the initial policy and changes in the number of players. Copyright © 2024, The Authors. All rights reserved.

关键词： Consensus algorithm

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A critical review on the technique and mechanism of microwave-based denitrification in flue gas

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Journal of Environmental Sciences 2022年第10期34卷 144-157页

作者： Bo Yuan Zhen Qian Zili Zhangc Le Fu Shihang Pan Runlong Hao Yi Zhao Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and EngineeringNorth China Electric Power UniversityBaoding 071003China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Fujian Special Equipment Inspection and Research Institute FuzhouFujian 350008China

Microwave radiation has received extensive attention due to its significant thermal and nonthermal effects, and the development of MW-based denitrification in flue gas has become one of the most promising methods to avoid the defects of ammonia escape, high temperature and cost in traditional SCR. This review introduces the thermal and non-thermal effects of microwaves and divides MW-based denitrification methods into MW reduction and oxidation denitrification, systematically summarizes these denitrification methods, including MW discharge reduction, MW-induced catalytic reduction using active carbon, molecular sieves, metal oxides(transition metals, perovskites, etc.), MW-induced oxidation denitrification with and without additional oxidant, and discusses their removal pathway and mechanism. Finally, several research prospects and directions regarding the development of microwave-based denitrification methods are provided.

关键词： Microwave Denitrification Reduction Oxidation Radical

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Unintended side effect of the coal-to-gas policy in North China Plain: Migration of the sources and health risks of ambient PAHs

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Science of the Total Environment 2025年 958卷 178050页

作者： Li, Zhiyong Liu, Chen Ren, Zhuangzhuang Liu, Jinming Ma, Xiaohua Ning, Zhi Meng, Jianwei Liu, Aiqin Ma, Huichun Wang, Lei Chen, Lan Wang, Hao Kong, Shaofei Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Hebei Key Lab of Mineral Resources and Ecological Environment Monitoring Hebei Research Center for Geoanalysis Baoding071051 China Department of Atmospheric Sciences School of Environmental Sciences China University of Geosciences Wuhan430074 China

Ongoing coal-to-gas (CTG) largely cut down both coal consumption and associated PM2.5. However, a knowledge gap still existed in CTG impacts on the other energy and organic pollutant emissions. Coupling on-site investigation with statistical yearbooks, we provided a more realistic energy evolutions before (BCTG), during (DCTG), and after (ACTG) the CTG for Hebei Province. Together, we examined the impacts of CTG derived energy conversion on PM2.5-bound PAHs at urban (UA)/suburban rural (SRA)/remote rural (RRA) sites in winter 2022. As expected, the consumptions of coal and natural gas (NG) far decreased and increased from BCTG to ACTG, respectively. Accidentally, biomass usage rose by 60.7%, and rural CTG acted as a main driver. Specially, SRA's NG-shortage and coal-stove demolition should be the main inducements, and RRA's coal-sale ban was another trigger in the early stage of CTG. ∑18PAHs and ∑8TPAHs stand for the sum of 18 PAHs and 8 toxic PAHs, respectively. ∑18PAHs (ng/m3) presented as SRA (81.8) > RRA (46.4) > UA (19.4). Biomass burning (BB) and NG combustion (NGC) contributed most to∑18PAHs of 31.0% and 23.1% at SRA, resulting in the highest ∑18PAHs, ∑18PAHs/PM2.5, and ∑8TPAHs/PM2.5, and incremental lifetime cancer risk values. Also, NGC has become the second largest contributor at UA. Variations in both diagnostic ratios and source-depend isomers further proved the prominence of NGC related PAHs at UA vs. SRA. Notably, RRA was least affected by the CTG, coal combustion (CC, 40.4%) and BB (32.6%) still occupied the top positions. In short, CTG gave rise to an upsurge in biomass usage, and the incremental PAHs emissions from BB vs. NGC. This study underlined that the priorities should be given to rural NG guarantee and subsidy retention, and biomass prohibition for further air quality improvement. © 2024 Elsevier B.V.

关键词： Coal

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Impact of "Coal to Electricity" Policy on Air Quality During Heating Period Over Beijing−Tianjin−Hebei Region in China by Wrf-Chem Model

SSRN

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SSRN 2022年

作者： Zhang, Ruting Chen, Chuanmin Liu, Songtao Wu, Huacheng Zhou, Weiqing Li, Peng Jia, Wenbo Cao, Yue Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China Jibei Electric Power Research Institute State Grid Jibei Electric Power Co. Ltd. North China Electric Power Research Institute Company Limited Beijing100045 China The Key Laboratory of Resources and Environmental Systems Optimization

To improve the quality of the atmospheric environment, the Chinese government has issued guidance on alternative energy and formulated a series of control measures such as "coal to electricity" policy, but impacts of the implementation of "coal to electricity" policy on air quality cannot be accurately quantified. In this study, by conducting basic scenario and emission reduction scenario simulation experiments, we find that the daily PM2.5 decreased by 0.2−5.6 μg/m3 due to the policy while the decreases in PM2.5 concentrations varied from 1−6% in Beijing, Tianjin, Baoding, Shijiazhuang during the heating period. During the heavy pollution process on December 15, 2018, the hourly average concentration of PM2.5 decreased by 1.02−7.53 μg/m3 in most Beijing−Tianjin−Hebei (BTH) region. The implementation of the policy has different degrees of reduction effects on BTH region under various air quality index (AQI) levels, and the policy also affected the AQI level in BTH region. In the heating period, the number of days that AQI level changes in the BTH region accounts for up to 13%. For other pollutants, the average reduction of PM10, CO, SO2 and NO2 concentration over BTH region in December 2018 ranged from 0.42−11.47, 0.01−0.77, 0.39−24.18, 0.76−2.91 μg/m3, respectively. Even if the "coal to electricity" policy replaced part of the residential sector of emission sources, it plays an important role in improving air quality over BTH region. We suggest that policies should be formulated and improved according to the actual situation to further complete energy transformation such as coal substitution. © 2022, The Authors. All rights reserved.

关键词： Coal

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Promoted Generation of Singlet Oxygen by Hollow-Shell Cos/G-C3n4 Catalyst for Sulfonamides Degradation: Pms Oxidation and Electron Transfer

SSRN

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SSRN 2022年

作者： Fang, Zhimo Qi, Juanjuan Xu, Yongyi Liu, Yibo Qi, Tieyue Xing, Lei Dai, Qin Wang, Lidong MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China China Power Hua Chuang Electricity Technology Research Company Ltd Suzhou215123 China

Sulfanilamide (SM), as one representative drug of sulfonamides, was commonly used for the prevention and treatment of bacterial infectious diseases and were extremely difficult to remove. Herein, an efficient catalyst (CoS/CN) for SM degradation was constructed by CoS self-assembling on ultra-thin g-C3N4 nanosheets. The prepared hollow-shell CoS/CN catalyst could completely degrade SM within 10 min with a rate constant (1.959 min−1) through activation of peroxymonosulfate (PMS). Experiments and theoretical calculations illustrated that that S2- acted as an electron donor to promote the generation of Co(II). The addition of g-C3N4 made the CoS/CN composite had higher conductivity and electron transfer ability than CoS, which promoted the decomposition of PMS to produce reactive oxygen species (ROSs). Singlet oxygen (1O3) was proved as the primary ROSs, and SO4•− radicals were generated during the degradation process to improve the low mineralization rate of 1O2-dominated degradation process, which derived from the oxidation process of PMS and electron transfer of g-C3N4. The results revealed the synergistic effect of free radicals and non-free radicals during the oxidation and reduction of PMS, and provided theoretical support for the efficient degradation of refractory organics in wastewater. © 2022, The Authors. All rights reserved.

关键词： Sulfur compounds

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Corrigendum to "Functionalization of carbon nanomaterials by means of phytic acid for uranium enrichment" [Sci. Total Environ. 694 (2019) 133697]

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The Science of the total environment 2020年 719卷 136519页

作者： Lei Li Ran Ma Tao Wen Pengcheng Gu Sai Zhang Maosheng Zheng Xilin Wu Xinjia Zhang Tasawar Hayat Xiangke Wang MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing 102206 PR China. MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing 102206 PR China. Electronic address: twen@***. College of Geography and Environmental Science Zhejiang Normal University Jinhua 321004 PR China. NAAM Research Group Faculty of Science King Abdulaziz University Jeddah 21589 Saudi Arabia. MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing 102206 PR China Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding 071003 PR China.

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