针对燃煤电厂参与调峰负荷波动较大,出口SO_(2)浓度控制效果不佳的问题,建立了一种基于捕鱼优化算法(catch fish optimization algorithm,CFOA)优化融合神经网络的出口SO_(2)浓度预测模型。首先使用互信息算法筛选由机理分析得到的特征...针对燃煤电厂参与调峰负荷波动较大,出口SO_(2)浓度控制效果不佳的问题,建立了一种基于捕鱼优化算法(catch fish optimization algorithm,CFOA)优化融合神经网络的出口SO_(2)浓度预测模型。首先使用互信息算法筛选由机理分析得到的特征变量,并通过逐次变分模态分解对筛选后的辅助变量进行分解重构,保留相关性较大的重构分量作为输入变量。随后采用双向时间卷积网络、双向门控循环单元与多头自注意力机制构建融合神经网络模型,通过CFOA对模型超参数寻优以进一步提高精度。最后使用某660 MW燃煤电厂历史运行数据进行对比实验,实验结果表明,该模型在出口SO_(2)浓度剧烈波动的工况下仍能实现较好的预测效果。同多种模型对比,该模型具有更小的误差和更高的预测精度,体现出其在复杂变化环境中的鲁棒性和可靠性。展开更多
In the background of the low-carbon transformation of the energy structure,the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy sy...In the background of the low-carbon transformation of the energy structure,the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy systems(IES)is becoming increasingly obvious.In this case,to promote the low-carbon operation of IES and renewable energy consumption,and to improve the IES anti-interference ability,this paper proposes an IES scheduling strategy that considers CCS-P2G and concentrating solar power(CSP)station.Firstly,CSP station,gas hydrogen doping mode and variable hydrogen doping ratio mode are applied to IES,and combined with CCS-P2G coupling model,the IES low-carbon economic dispatch model is established.Secondly,the stepped carbon trading mechanism is applied,and the sensitivity analysis of IES carbon trading is carried out.Finally,an IES optimal scheduling strategy based on fuzzy opportunity constraints and an IES risk assessment strategy based on CVaR theory are established.The simulation shows that the gas-hydrogen doping model proposed in this paper reduces the operating cost and carbon emission of IES by 1.32%and 7.17%,and improves the carbon benefit by 5.73%;variable hydrogen doping ratio model reduces the operating cost and carbon emission of IES by 3.75%and 1.70%,respectively;CSP stations reduce 19.64%and 38.52%of the operating costs of IES and 1.03%and 1.80%of the carbon emissions of IES respectively compared to equal-capacity photovoltaic and wind turbines;the baseline price of carbon trading of IES and its rate of change jointly affect the carbon emissions of IES;evaluating the anti-interference capability of IES through trapezoidal fuzzy number and weighting coefficients,enabling IES to guarantee operation at the lowest cost.展开更多
COphotoreduction is an attractive process which allows the storage of solar energy and synthesis of solar fuels. Many different photocatalytic systems have been developed, while the alternative photo-reactors are stil...COphotoreduction is an attractive process which allows the storage of solar energy and synthesis of solar fuels. Many different photocatalytic systems have been developed, while the alternative photo-reactors are still insufficiently investigated. In this work, photoreduction of COwith HO into CHwas investigated in a modified concentrating solar reactor, using TiOand Pt/TiOas the catalysts. The TiOand Pt/TiOsamples were extensively characterized by different techniques including powder X-ray diffraction（XRD）, Nadsorption/desorption and UV–vis absorption. The catalytic performance of the TiOand Pt/TiOsamples in the gas phase was evaluated under unconcentrated and concentrated Xe-lamp light and nature solar light with different concentrating ratios. Various parameters of the reaction system and the catalysts were investigated and optimized to maximize the catalytic performance of COreduction system. Compared with the normal light irradiation, the TiOand Pt/TiOsamples show higher photocatalytic activity（about 6–7 times） for reducing COinto CHunder concentrated Xe-lamp light and nature solar light. In the range of experimental light intensity, it is found that the concentration of the light makes it suitable for the catalytic reaction, and increases the utilization efficiency of the TiOand Pt/TiOsamples while does not decrease the quantum efficiency.展开更多
Sodium-ion batteries(SIBs)are emerging as a promising alternative for large-scale energy storage,particularly in grid applications.Within the array of potential cathode materials,Fe/Mn-based layered oxides are notable...Sodium-ion batteries(SIBs)are emerging as a promising alternative for large-scale energy storage,particularly in grid applications.Within the array of potential cathode materials,Fe/Mn-based layered oxides are notable for their advantageous theoretical specific capacity,economic viability,and environmental sustainability.Nevertheless,the practical application of Fe/Mn-based layered oxides is constrained by their suboptimal cycle performance and rate capability during actual charging and discharging.Ion doping is an effective approach for addressing the aforementioned issues.In this context,we have successfully developed a novel K^(+) and Mg^(2+) codoped P2-Na_(0.7)Fe_(0.5)Mn_(0.5)O_(2) cathode to address these challenges.By doping with 0.05 K^(+) and 0.2 Mg^(2+),the cathode demonstrated excellent cycling stability,retaining 95% of its capacity after 50 cycles at 0.2C,whereas the undoped material retained only 59.7%.Even within a wider voltage range,the co-doped cathode retained 88% of its capacity after 100 cycles at 1C.This work integrated Mg^(2+) to activate oxygen redox reactions in Fe/Mn-based layered cathodes,thereby promoting a reversible hybrid redox process involving both anions and cations.Building on the Mg doping,larger K^(+) ions were introduced into the edge-sharing Na^(+) sites,enhancing the material's cyclic stability and expanding the interplanar distance.The significant improvement of Na^(+) diffusion coefficient by K^(+)/Mg^(2+) co-doping has been further confirmed via the galvanostatic intermittent titration technique(GITT).The study emphasizes the importance of co-doping with different coordination environments in future material design,aiming to achieve high operating voltage and energy density.展开更多
文摘针对燃煤电厂参与调峰负荷波动较大,出口SO_(2)浓度控制效果不佳的问题,建立了一种基于捕鱼优化算法(catch fish optimization algorithm,CFOA)优化融合神经网络的出口SO_(2)浓度预测模型。首先使用互信息算法筛选由机理分析得到的特征变量,并通过逐次变分模态分解对筛选后的辅助变量进行分解重构,保留相关性较大的重构分量作为输入变量。随后采用双向时间卷积网络、双向门控循环单元与多头自注意力机制构建融合神经网络模型,通过CFOA对模型超参数寻优以进一步提高精度。最后使用某660 MW燃煤电厂历史运行数据进行对比实验,实验结果表明,该模型在出口SO_(2)浓度剧烈波动的工况下仍能实现较好的预测效果。同多种模型对比,该模型具有更小的误差和更高的预测精度,体现出其在复杂变化环境中的鲁棒性和可靠性。
基金State Grid Gansu Electric Power Company Science and Technology Program(Grant No.W24FZ2730008)National Natural Science Foundation of China(Grant No.51767017).
文摘In the background of the low-carbon transformation of the energy structure,the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy systems(IES)is becoming increasingly obvious.In this case,to promote the low-carbon operation of IES and renewable energy consumption,and to improve the IES anti-interference ability,this paper proposes an IES scheduling strategy that considers CCS-P2G and concentrating solar power(CSP)station.Firstly,CSP station,gas hydrogen doping mode and variable hydrogen doping ratio mode are applied to IES,and combined with CCS-P2G coupling model,the IES low-carbon economic dispatch model is established.Secondly,the stepped carbon trading mechanism is applied,and the sensitivity analysis of IES carbon trading is carried out.Finally,an IES optimal scheduling strategy based on fuzzy opportunity constraints and an IES risk assessment strategy based on CVaR theory are established.The simulation shows that the gas-hydrogen doping model proposed in this paper reduces the operating cost and carbon emission of IES by 1.32%and 7.17%,and improves the carbon benefit by 5.73%;variable hydrogen doping ratio model reduces the operating cost and carbon emission of IES by 3.75%and 1.70%,respectively;CSP stations reduce 19.64%and 38.52%of the operating costs of IES and 1.03%and 1.80%of the carbon emissions of IES respectively compared to equal-capacity photovoltaic and wind turbines;the baseline price of carbon trading of IES and its rate of change jointly affect the carbon emissions of IES;evaluating the anti-interference capability of IES through trapezoidal fuzzy number and weighting coefficients,enabling IES to guarantee operation at the lowest cost.
文摘COphotoreduction is an attractive process which allows the storage of solar energy and synthesis of solar fuels. Many different photocatalytic systems have been developed, while the alternative photo-reactors are still insufficiently investigated. In this work, photoreduction of COwith HO into CHwas investigated in a modified concentrating solar reactor, using TiOand Pt/TiOas the catalysts. The TiOand Pt/TiOsamples were extensively characterized by different techniques including powder X-ray diffraction（XRD）, Nadsorption/desorption and UV–vis absorption. The catalytic performance of the TiOand Pt/TiOsamples in the gas phase was evaluated under unconcentrated and concentrated Xe-lamp light and nature solar light with different concentrating ratios. Various parameters of the reaction system and the catalysts were investigated and optimized to maximize the catalytic performance of COreduction system. Compared with the normal light irradiation, the TiOand Pt/TiOsamples show higher photocatalytic activity（about 6–7 times） for reducing COinto CHunder concentrated Xe-lamp light and nature solar light. In the range of experimental light intensity, it is found that the concentration of the light makes it suitable for the catalytic reaction, and increases the utilization efficiency of the TiOand Pt/TiOsamples while does not decrease the quantum efficiency.
基金financially supported by the National Natural Science Foundation of China(12175089,12205127,52220105010)the Key Research and Development Program of Yunnan Province(202103AF140006)+3 种基金the Applied Basic Research Programs of Yunnan Provincial Science and Technology Department(202001AW070004,202301AS070051,202301AU070064)Yunnan Industrial Innovative Talents Program for“Xingdian Talent Support Plan”(KKXY202252001)Yunnan Program for Introducing Foreign Talents(202305AO350042)Yunnan Major Scientific and Technological Projects(202202AG050003).
文摘Sodium-ion batteries(SIBs)are emerging as a promising alternative for large-scale energy storage,particularly in grid applications.Within the array of potential cathode materials,Fe/Mn-based layered oxides are notable for their advantageous theoretical specific capacity,economic viability,and environmental sustainability.Nevertheless,the practical application of Fe/Mn-based layered oxides is constrained by their suboptimal cycle performance and rate capability during actual charging and discharging.Ion doping is an effective approach for addressing the aforementioned issues.In this context,we have successfully developed a novel K^(+) and Mg^(2+) codoped P2-Na_(0.7)Fe_(0.5)Mn_(0.5)O_(2) cathode to address these challenges.By doping with 0.05 K^(+) and 0.2 Mg^(2+),the cathode demonstrated excellent cycling stability,retaining 95% of its capacity after 50 cycles at 0.2C,whereas the undoped material retained only 59.7%.Even within a wider voltage range,the co-doped cathode retained 88% of its capacity after 100 cycles at 1C.This work integrated Mg^(2+) to activate oxygen redox reactions in Fe/Mn-based layered cathodes,thereby promoting a reversible hybrid redox process involving both anions and cations.Building on the Mg doping,larger K^(+) ions were introduced into the edge-sharing Na^(+) sites,enhancing the material's cyclic stability and expanding the interplanar distance.The significant improvement of Na^(+) diffusion coefficient by K^(+)/Mg^(2+) co-doping has been further confirmed via the galvanostatic intermittent titration technique(GITT).The study emphasizes the importance of co-doping with different coordination environments in future material design,aiming to achieve high operating voltage and energy density.
