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Ultrafine nano-copper derived from dopamine polymerization&synchronous adsorption achieve electrochemical purification of nitrate to ammonia in complex water environments

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Chinese Chemical Letters 2024年第8期35卷 383-390页

作者： Xue Zhao Mengshan Chen Dan Wang haoran Zhang Guangzhi Hu Yingtang Zhou Faculty of Chemistry and Chemical Engineering Yunnan Normal UniversityKunming 650092China National Engineering Research Center for Marine Aquaculture Marine Science and Technology CollegeZhejiang Ocean UniversityZhoushan 316004China College of Chemistry Nankai University Nankai UniversityTianjing 300071China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental ScienceYunnan UniversityKunming 650504China

Electrochemical-nitrate-reduction-reaction(eNitRR)synthesis of ammonia is an effective way to treat ni-trate wastewater and alleviate the pressure of the Haber-Bosch ammonia production *** to develop effective catalysts to electrochemically reduce nitrate to ammonia and purify sewage under com-plex environmental conditions is the focus of current ***,the dopamine polymerization pro-cess and the[(C_(12)H_(8)N_(2))_(2)Cu]^(2+)complex embedding process were run simultaneously in time and space,and ultrafine Cu nanoparticles(Cu/CN)were effectively loaded on nitrogen-doped carbon after heat *** Cu/CN as the catalyst,the ammonia yield rate and Faradaic efficiency of the electrochemical conversion of NO_(3)^(-)to NH_(3)are highly 8984.0μg h^(−1)mg cat.^(−1)and 95.6%,*** in the face of complex water environments,such as neutral media,acidic media,coexisting ions,and actual nitrate wastewater,nitrate wastewater can be effectively purified to form high value-added *** strat-egy of simultaneous embedding increases the exposure rate of Cu sites,and the support of CN is also beneficial to reduce the energy barrier of ^(∗)NO_(3)*** study rationally designed catalysts that are beneficial to eNitRR,and considered the situation faced by practical applications during the research stage,reducing the performance gap between laboratory exploration and industrial applications.

关键词： Electrochemical nitrate reduction reaction Synthetic ammonia Sewage treatment Nano copper Dopamine

Structure Engineering of Layered Double Hydroxides(LDHs)for Heterogeneous Catalysis

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Chemical Research in Chinese Universities 2024年第4期40卷 590-610页

作者： GAO Zhexi MA haoran WANG Qian LI Dianqing FENG Junting DUAN Xue State Key Laboratory of Chemical Resource Engineering Beijing Engineering Center for Hierarchical CatalystsBeijing University of Chemical TechnologyBeijing100029P.R.China Quzhou Institute for Innovation in Resource Chemical Engineering Quzhou324000P.R.China

Layered double hydroxide(LDH)is regarded as an advanced platform material in catalysis and attracts vast attrition *** a kind of two-dimensional layered material,it exhibits great advantages including cation-tunability in layer,lattice limitation,topological transformation,ion exchange and intercalation *** also can be used as building blocks for composite catalytic *** 100 years,a large number of works have been accomplished and researchers made great progress on investigating the LDH-based catalytic *** this review,we summarize representative achievements and significant progress in recent years,which mainly include constructing high entropy catalytic material,high dispersion/stability and interfacial supported catalytic material,composite catalytic materials and nano-reactor based on ***,through collecting the excellent works,we conclude the future development potential of LDH and provide a perspective.

关键词： Layered double hydroxide(LDH)material Heterogeneous catalysis Structure engineering

Variations of sediment organic phosphorus and organic carbon during the outbreak and decline of algal blooms in Lake Taihu,China

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Journal of Environmental Sciences 2024年第5期139卷 34-45页

作者： Jiehua Wang Xiuling Bai Wenchao Li Pingping Zhang Mengdi Zhang haoran Wang Yingge Bai College of Geography and Environmental Science Henan UniversityKaifeng 475004China Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions(Henan University) Ministry of EducationKaifeng 475004China National Demonstration Center for Environment and Planning Henan UniversityKaifeng 475004China Surrey International Institute Dongbei University of Finance and EconomicsDalian 116000China

In this study,sediment organic phosphorus(OP)and organic carbon(OC)in Lake Taihu,China,as well as their relationships,were analyzed during the outbreak and decline of algal blooms(ABs)over a five-month field *** results showed synchronous temporal changes in the sediment OP and OC contents with the development of *** addition,there was a significant positive correlation between the sediment OP and OC(p<0.01),suggesting simultaneous deposition and consumption during the ABs *** sediment OP and OC contents decreased significantly at the early and last stages of the ABs outbreak and increased at the peak of the ABs outbreak and during the ABs *** temporal variation patterns suggest that the sediment OC and OP contents did not consistently increase during the ABs outbreak,even though algae are an important source of organic matter in *** depletion or enrichment of OC and OP in sediments may also depend on the scale of the ABs *** obtained results revealed significant differences in the sediment OC and OP contents between the months(p<0.05).In addition,OP in the sediments was dominated by orthophosphate diester(phospholipids and DNA-P)and orthophosphate monoester during the ABs outbreak and decline,*** active OC contents and proportions in the sediments in the ABs outbreak were significantly lower than those observed in the ABs decline period,demonstrating the significant impacts of the ABs outbreak and decline on the sediment OC and OP in Lake Taihu.

关键词： Algal blooms Organic phosphorus Organic carbon Sediment ^(31)P NMR Lake Taihu

Gradient-structure-enhanced dielectric energy storage performance of flexible nanocomposites containing controlled preparation of defective TiO_(2) and ferroelectric KNbO_(3) nanosheets

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Nano Research 2024年第5期17卷 4079-4088页

作者： Yan Wang Lili Zhao Ruicong Chen Wenhui Zhao Dengwei Hu haoran Wang Bin Cui Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education Shaanxi Key Laboratory of Physico–Inorganic Chemistry Xi’an Key Laboratory of Functional Supramolecular Structure and MaterialsCollege of Chemistry and Materials ScienceNorthwest UniversityXi’an 710127China School of Information Science and Technology Northwest UniversityXi’an 710127China Engineering Research Center for Titanium Based Functional Materials and Devices in Universities of Shaanxi Province Faculty of Chemistry and Chemical EngineeringBaoji University of Arts and SciencesBaoji 721013China

Next generation power system needs dielectrics with increased dielectric energy ***,the low energy density of dielectrics limits their ***,an asymmetric trilayered nanocomposite,with a transition layer(TL),an insulation layer(IL),and a polarization layer(PL),is designed based on poly(vinylidene fluoride)-polymethyl methacrylate(PVDF-PMMA)matrix using KNbO_(3)(KN)and TiO_(2)(TO)as the *** morphology and defect control of the two-dimensional nano KN and nano TO fillers are realized via a hydrothermal method to increase the composite breakdown strength(E_(b))and the composite energy density(U_(e)).The asymmetric trilayered structure leads to a gradient electric field distribution,and the KN and TO nanosheets block charges transfer along z *** a result,the development path of the electrical trees is greatly curved,and E_(b) is effectively *** the Ue value of the nanocomposites reaches 17.79 J·cm^(-3) at 523 MV·m^(-1).On the basis,the composite Ue is further improved by defect control in TO *** nanocomposite KN/TO/PVDF-PMMA containing TO with less oxygen vacancy concentration(calcined at oxygen atmosphere)acquires a high Ue of 21.61 J·cm^(-3) at 548 MV·m^(-1).This study provides an idea for improving the energy storage performance by combining the design of the composite dielectric structure and the control of nanofillers’defect and morphology.

关键词： asymmetric trilayered structure two-dimensional energy density oxygen vacancies breakdown strength dielectric

Plasmonic quantum dots modulated nano-mineral toward photothermal reduction of CO_(2)coupled with biomass conversion

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Nano Research 2024年第6期17卷 5061-5072页

作者： Guangbiao Cao haoran Xing Haoguan Gui Chao Yao Yinjuan Chen Yongsheng Chen Xiazhang Li National-local Joint Engineering Research Center of Biomass Refining and High-quality Utilization Changzhou UniversityChangzhou 213164China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA 30332-0373USA

Simultaneous conversion of CO_(2)and biomass into value-added chemicals through solar-driven catalysis holds tremendous importance for fostering a sustainable circular ***,plasmonic Bi quantum dots were immobilized on phosphoric acid modified attapulgite(P-ATP)nanorod using an in-situ reduction-deposition method,and were employed for photocatalytic reduction of CO_(2)coupled with oxidation of biomass-derived benzyl *** revealed that Bi atoms successfully integrated into the basal structure of P-ATP,forming chemically coordinated Bi-O-Si bonds that served as efficient transportation channels for *** incorporation of high-density monodispersed Bi quantum dots induced a surface plasmon resonance(SPR)effect,expanding the light absorption range into the near-infrared *** a consequence,the photo-thermal transformation was significantly accelerated,leading to enhanced reaction ***,50%Bi/P-ATP nanocomposite exhibited the highest plasmon-mediated photocatalytic CH4 generation(115.7μmol·g^(−1)·h^(−1))and CO generation(44.9μmol·g^(−1)·h^(−1)),along with remarkable benzaldehyde generation rate of 79.5μmol·g^(−1)·h^(−1)in the photo-redox coupling system under solar light *** hydrogen protons released from the oxidation of benzyl alcohol facilitated the incorporation of more hydrogen protons into CO_(2)to form key CH_(3)O−*** work demonstrates the synergistic solar-driven valorization of CO_(2)and biomass using natural mineral based catalyst.

关键词： photothermal catalysis clay mineral plasmon CO_(2)reduction biomass conversion

计及预测误差时空-条件相依特性的日内光伏出力区间预测方法

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南方电网技术 2023年第2期17卷 128-136页

作者：杨皓然杨茂苏欣现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学) 吉林吉林132012

由于光伏出力预测误差无法避免,区间预测可以更准确地描述光伏的不确定性,从而对电力系统的决策提供指导,而现有研究方法不能够充分地挖掘光伏功率的物理变化过程,因此提出了一种考虑预测误差时空-条件相依特性的日内光伏出力区间预测... 详细信息

由于光伏出力预测误差无法避免,区间预测可以更准确地描述光伏的不确定性,从而对电力系统的决策提供指导,而现有研究方法不能够充分地挖掘光伏功率的物理变化过程,因此提出了一种考虑预测误差时空-条件相依特性的日内光伏出力区间预测框架。首先通过外观相似性更新(appearance similarity update,ASU)模型得到考虑时间相依性的预测误差,再通过长短期记忆(long short-term memory,LSTM)网络模型以及空间相关性的分析得到考虑空间相依性的预测误差,并对预测的出力进行修正,最后依据其误差的条件相依性得到不同置信度下的区间预测。整体框架的效果在新疆光伏电场被验证,其均方根误差能够降低3%以上,同时考虑更新后的预测误差时空-条件相依性的区间预测效果有所提升,验证了所提方法的有效性和可行性。

关键词：光伏出力预测误差时空相依性外观相似性更新误差条件相依性区间预测

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基于人工智能的房地产企业成本管理平台研究

建筑经济 2023年第12期44卷 33-36页

作者：杨浩然北京城建青岛兴华地产有限公司山东青岛266000

房地产企业在开发和运营过程中产生大量而复杂的成本数据,深入挖掘成本数据将为企业成本管理提供高价值的科学决策依据。通过分析人工智能在房地产企业成本管理平台应用的优势,构建基于人工智能的房地产企业成本管理平台,具体阐述其运... 详细信息

房地产企业在开发和运营过程中产生大量而复杂的成本数据,深入挖掘成本数据将为企业成本管理提供高价值的科学决策依据。通过分析人工智能在房地产企业成本管理平台应用的优势,构建基于人工智能的房地产企业成本管理平台,具体阐述其运行机理和主要内容,并提出应用人工智能成本管理平台的保障措施,为房地产企业成本管理智能化提供思路和方法。

关键词：人工智能房地产企业成本管理

不同政策方案下的南京市土地利用碳排放动态模拟

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地域研究与开发 2021年第3期40卷 121-126页

作者：杨皓然吴群南京工业大学法政学院南京211816 南京农业大学不动产研究中心南京210095

通过系统动力学方法,对2000—2035年南京市土地利用碳排放现状及未来政策模拟趋势下的碳排放趋势进行动态模拟。结果表明:当前南京市土地利用碳排放总量保持持续增长趋势,一定的政策干预可以调控碳排放量;调整城镇化水平可以抑制土地利... 详细信息

通过系统动力学方法,对2000—2035年南京市土地利用碳排放现状及未来政策模拟趋势下的碳排放趋势进行动态模拟。结果表明:当前南京市土地利用碳排放总量保持持续增长趋势,一定的政策干预可以调控碳排放量;调整城镇化水平可以抑制土地利用碳排放的增速;减少建设用地占用耕地,调整产业结构和汽车使用量,均可有效控制碳排放量的增长;单纯通过调整环境污染治理投资对调控土地利用碳排放并不显著;多种政策协调控制下的碳减排水平远高于单一政策调整。

关键词：城镇化土地利用碳排放系统动力学政策仿真南京市

Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 13-28页

作者： Tianyun Zhang Jun Zhang Feiyue Wang Peidong Xu Tianlu Gao haoran Zhang Ruiqi Si School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072HubeiChina State Key Laboratory for Management and Control of Complex System Institute of AutomationChinese Academy of SciencesBeijing 100190China

In artificial intelligence(AI)based-complex power system management and control technology,one of the urgent tasks is to evaluate AI intelligence and invent a way of autonomous intelligence ***,there is,currently,nearly no standard technical framework for objective and quantitative intelligence *** this article,based on a parallel system framework,a method is established to objectively and quantitatively assess the intelligence level of an AI agent for active power corrective control of modern power systems,by resorting to human intelligence evaluation *** this basis,this article puts forward an AI self-evolution method based on intelligence assessment through embedding a quantitative intelligence assessment method into automated reinforcement learning(AutoRL)systems.A parallel system based quantitative assessment and self-evolution(PLASE)system for power grid corrective control AI is thereby constructed,taking Bayesian Optimization as the measure of AI evolution to fulfill autonomous evolution of AI under guidance of their intelligence assessment *** results exemplified in the power grid corrective control AI agent show the PLASE system can reliably and quantitatively assess the intelligence level of the power grid corrective control agent,and it could promote evolution of the power grid corrective control agent under guidance of intelligence assessment results,effectively,as well as intuitively improving its intelligence level through selfevolution.

关键词： AI quantitative intelligence assessment and self-evolution automated reinforcement learning Bayesian optimization corrective control parallel system