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2019 4th International Conference on Advances in Energy and Environment Research, ICAEER 2019

作者： Li, Heng-Jie Qiao, Zhen Chen, Wei Zeng, Xian-Qiang Wu, Long College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou Gansu China Key laboratory of Advanced Industrial Process Control in Gansu Province China Lanzhou University of Technology Electrical and Control Engineering National Experimental Teaching Demonstration Center China

In order to solve the problem of high energy consumption of public buildings and optimize and improve energy conservation of public buildings, we built a building energy consumption prediction model based on NAR neural network prediction technology improved by BP neural network algorithm, and the energy consumption value is predicted. The large public buildings as the research object, the key factors to determine the effect of building energy consumption and collect the corresponding data processing, as the input parameters of neural network prediction public buildings energy consumption value, according to the actual situation will eventually NAR prediction of neural network and BP network prediction method and the comparative analysis the measured data. The results show that NAR neural network can predict the energy consumption of public buildings more accurately than BP neural network under different building parameters. © The Authors, published by EDP Sciences, 2019.

关键词： Energy utilization

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Chemical looping based ammonia production--A promising pathway for production of the noncarbon fuel

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Science Bulletin 2022年第20期67卷 2124-2138,M0004页

作者： Qinghua Lai Tianyi Cai Shik Chi Edman Tsang Xia Chen Runping Ye Zhenghe Xu Morris D.Argyle Dong Ding Yongmei Chen Jianji Wang Armistead G.Russell Ye Wu Jian Liu Maohong Fan College of Engineering and Applied Science University of WyomingLaramie WY 82071USA School of Energy and Power Engineering Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Wolfson Catalysis Department of ChemistryUniversity of OxfordOxford Ox13QRUK College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Chemical and Materials Engineering University of AlbertaEdmonton Alberta T6G1H9Canada Department of Chemical Engineering Brigham Young UniversityProvo UT 84602USA Idaho National Laboratory Idaho Falls ID83415USA College of Chemistry Beijing University of Chemical TechnologyBejing 100029China School of Chemistry and Environmental Science Henan Normal UniversityXinxiang 453007China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlanta GA 30332USA MIIT Key Laboratory of Thermal Control of Electronic Equipment School of Power EngineeringNanjing University of Science&TechnologyNanjing 210094China DICP-Surrey Joint Centre for Future Materials Department of Chemical and Process Engineeringand Advanced Technology InstituteUniversity of SurreyGuilford Surrey GU27XH UK

Ammonia, primarily made with Haber-Bosch process developed in 1909 and winning two Nobel prizes, is a promising noncarbon fuel for preventing global warming of 1.5 °C above pre-industrial levels. However,the undesired characteristics of the process, including high carbon footprint, necessitate alternative ammonia synthesis methods, and among them is chemical looping ammonia production(CLAP) that uses nitrogen carrier materials and operates at atmospheric pressure with high product selectivity and energy efficiency. To date, neither a systematic review nor a perspective in nitrogen carriers and CLAP has been reported in the critical area. Thus, this work not only assesses the previous results of CLAP but also provides perspectives towards the future of CLAP. It classifies, characterizes, and holistically analyzes the fundamentally different CLAP pathways and discusses the ways of further improving the CLAP performance with the assistance of plasma technology and artificial intelligence(AI).

关键词： Ammonia synthesis Chemical looping Nitrogen carrier Renewable fuels Energy carrier

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An Early Fault Detection Method of the Induced Draft Fan Based on Long-Short Term Memory Network and Double Warning Thresholds

An Early Fault Detection Method of the Induced Draft Fan Bas...

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Chinese control and Decision Conference, CCDC

作者： Wei Wei You Lv Yizhuo Liu Qing Li Shisen Xu Jun Li School of Control and Computer Engineering North China Electric Power University Beijing P. R. China Key Laboratory of Power Station Energy Transfer Conversion and System North China Electric Power University Beijing P. R. China Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Beijing P. R. China Huaneng Technology Innovation Center Beijing P. R. China Xian Thermal Power Research Institute Company Limited Xian P. R. China

ISBN: (纸本)9781665478977

The induced draft (ID) fan is a significant piece of auxiliary equipment in thermal power plants. An early detection of possible faults in the ID fan may be used for effective predictive maintenance, thereby reducing the overall maintenance cost and improving the reliability and availability of thermal power plants. This paper proposed a genetic algorithm and long-short term memory network (GA-LSTM)-based condition monitoring approach using normal operation data of the ID fan. Furthermore, the LSTM network and the sliding window technique were introduced to construct double thresholds, which contains a dynamic threshold and a static threshold. The GA-LSTM-double thresholds method was applied to a coal-fired power plant to achieve early fault detection and diagnosis. The results demonstrates that the proposed method is capable of detecting minor anomalies in advance.

关键词： Fans Fault detection Neurons Predictive models Indexes Reliability State estimation

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Deep Learning for Unsupervised Anomaly Localization in industrial Images: A Survey

arXiv

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arXiv 2022年

作者： Tao, Xian Gong, Xinyi Zhang, Xin Yan, Shaohua Adak, Chandranath The Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing100190 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Industrial Internet and Big Data China National Light Industry Beijing Technology and Business University Beijing100048 China The Dept. of CSE Indian Institute of Technology Bihar Patna801106 India

Currently, deep learning-based visual inspection has been highly successful with the help of supervised learning methods. However, in real industrial scenarios, the scarcity of defect samples, the cost of annotation, and the lack of a priori knowledge of defects may render supervised-based methods ineffective. In recent years, unsupervised anomaly localization algorithms have become more widely used in industrial inspection tasks. This paper aims to help researchers in this field by comprehensively surveying recent achievements in unsupervised anomaly localization in industrial images using deep learning. The survey reviews more than 120 significant publications covering different aspects of anomaly localization, mainly covering various concepts, challenges, taxonomies, benchmark datasets, and quantitative performance comparisons of the methods reviewed. In reviewing the achievements to date, this paper provides detailed predictions and analysis of several future research directions. This review provides detailed technical information for researchers interested in industrial anomaly localization and who wish to apply it to the localization of anomalies in other fields. Copyright © 2022, The Authors. All rights reserved.

关键词： Defects

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Determination and Prediction of Digestible Energy, Metabolizable Energy, and Standardized Ileal Digestibility of Amino Acids in Barley for Growing Pig

SSRN

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SSRN 2022年

作者： Li, Rui Tian, Mingzhou Feng, Ganyi Hou, Gaifeng Jiang, Xianji Yang, Gang Xiang, Qiang Liu, Xiaojie Long, Cimi Huang, Ruilin Yin, Yulong Key Laboratory of Agro-Ecological Processes in Subtropical Region Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process Hunan Research Center of Livestock and Poultry Sciences South Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology Institute of Subtropical Agriculture Chinese Academy of Sciences Changsha410125 China College of Animal Science and Technology Hunan Co-Innovation Center of Animal Production Safety Hunan Agricultural University Changsha410128 China

Two experiments were performed to determine the digestible energy (DE), metabolizable energy (ME) and standardized ileal digestibility coefficients of amino acids (SIDC AA), and to develop prediction equations for the DE, ME and SIDC AA in barleys for pigs. Exp. 1, twenty-two castrated boars (29.5 ± 1.3 kg) were allotted to a replicated 11 × 3 incomplete Latin square design, including 11 diets and 3 consecutive periods. A corn-soybean meal basal diet and 10 test diets containing 400 g/kg of each barley at expense of corn-soybean meal were prepared, and all diets had constant ratio of corn to soybean meal. Each period include 7 d adaption and 5 d total feces and urine collection. The DE and ME contents were measured by the total collection method. Exp. 2, twenty-two ileal cannulated pigs (30.5 ± 2.1 kg) were used in a duplicated 11 × 3 incomplete Latin square design with 11 diets and three 7-day periods. Titanium dioxide (3 g/kg) was added to all diets as indicator and ieal digesta were collected on d 6 and 7 in each period. Barley was the sole nitrogen source in 10 barley diets and a N-free diet was used to the endogenous nitrogen losses. The results showed the great variations in ether extract (EE), calcium (Ca), crude ash (Ash), acid detergent fiber (ADF) and crude fiber (CF) among barleys. The DE and ME in barley for pigs were 12.26 (11.29-13.58) MJ/kg and 11.87 (10.95-13.15) MJ/kg, respectively. The optimal prediction equations for DE and ME were DE (MJ/kg) = -23.594 + 0.358 crude protein (CP) + 0.043 EE (R2=0.95) and ME (MJ/kg) = 0.338 + DE - 0.139 ADF (R2=0.99), respectively. The SIDC of Lys, Met, Thr, and Trp in barley were 0.77 (0.73-0.81) g/kg, 0.83 (0.80-0.87) g/kg, 0.81 (0.79-0.82) g/kg, and 0.79 (0.76-0.86) g/kg, respectively. The best-fit prediction equations for SIDC of Lys, Met, Thr and Trp in barley fed to pigs were SIDC Lys = 0.721 + 0.002 EE (R2=0.79), SIDC Met = 1.045 - 0.001 total starch (TS, R2=0.69), SIDC Thr = 0.767 + 0.002 ADF - 0.001 CF (R2=

关键词： Amino acids

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Selective Separation of Volatile Fatty Acids, Nitrogen and Phosphorus from Anaerobic Acidogenic Fermentation Via Forward Osmosis Membrane process

SSRN

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SSRN 2022年

作者： Zhu, Xian-Zheng Wang, Long-Fei Pan, Xin-Rong Zhang, Feng Huang, Min-Sheng Li, Wen-Wei Liu, Hou-Qi National and Local Joint Engineering Laboratory for Municipal Sewage Resource Utilization Technology Suzhou University of Science and Technology Suzhou215009 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration School of Ecological and Environmental Sciences East China Normal University Shanghai200062 China Suzhou Advanced Research Institute University of Science and Technology of China Suzhou215123 China

Selective separation and recovery of volatile fatty acids (VFA) and other valuable resources promotes a sustainable wastewater treatment system, but its cost-effective separation approaches are poorly understood. This study investigated the feasibility of applying a forward osmosis (FO) dewatering process for the selective separation of VFA, ammonium and phosphate from anaerobic acidogenic fermentation. Limited VFA rejection of fermentation broth, i.e., less than 20%, was observed under acidic conditions, while the rejection rate was significantly increased to ~90% at neutral pH. The transfer of ammonium across the membranes was remarkably impacted by the feed solution pH. Lower pH (~4) values resulted in higher rejection rates of ammonium (~96%), and the rate gradually declined as pH increased. The rejection of phosphate, which remained higher than 98%, was less sensitive to pH variations. The increase in water flux promoted the rejection of VFA, ammonium and phosphate, and the membrane orientation significantly impacted the transfer of nutrients in the FO process. The active layer facing the feed solution (AL-FS) mode exhibited higher rejection rates of VFA, ammonium and phosphate than the active layer facing the draw solution (AL-DS) mode, which was ascribed to the internal concentration polarization effect. Furthermore, approximately 80% of water could be effectively reduced from a real acidogenic fermentation liquor during the FO process;ammonium and phosphate were 3.72-fold and 4.10-fold concentrated in feed solution, respectively, and VFA was selectively separated in draw solution. The work confirmed the feasibility of utilizing FO processes in separating and enriching VFA, ammonium and phosphate from anaerobic fermentation liquors, providing meaningful information on promoting FO-based processes in treating wastewater. © 2022, The Authors. All rights reserved.

关键词： Nutrients

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Construcing Graphene Conductive Networks in Manganese Vanadate as High-Performance Cathode for Aqueous Zinc-Ion Batteries

SSRN

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SSRN 2022年

作者： Liu, Hongwei Wang, Nengze Hu, Lei Sun, Mengxuan Li, Zhijie Jia, Chunyang State Key Laboratory of Electronic Thin Films and Integrated Devices National Engineering Research Center of Electromagnetic Radiation Control Materials School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu610054 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen518110 China School of Physics University of Electronic Science and Technology of China Chengdu610054 China

Aqueous zinc-ion batteries (AZIBs) have been widely studied for their cheapness, safety, as well as high energy and power density. Electrode material plays a dominant role in the electrochemical properties of zinc-ion batteries. Reduced graphene oxide (rGO) can easily interact with compounds via π-π stacking for high-speed electron transport. In this study, we uniformly loaded the Mn-modified V6O13 material cathode onto the rGO conductive network. It can not only releases the electron conduction process that constrains the performance of the electrode material, but also acts as a uniquely elastic medium to buffer the large volume changes brought about by the MnVO nanobelts during charging and discharging. The results show that MnVO@rGO exhibits excellent energy storage properties with a high capacity of 360.3 mAh g-1 at a current density of 0.2 A g-1 in being used as the cathode material for AZIBs. More significantly, even with a current density expansion of a factor of 100, the MnVO@rGO//Zn battery still has a capacity of 88.9 mAh g-1 and a capacity retention rate of over 100% after 10,000 long cycles. In addition, it has a high energy density of 260.0 Wh kg-1 and a high power density of 9113.7 W kg-1. This study provides an interesting idea for the development of electrode materials for zinc-ion batteries. © 2022, The Authors. All rights reserved.

关键词： Nanobelts

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Recent advancements and challenges in emerging applications of biochar-based catalysts

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Biotechnology Advances 2023年 67卷 108181页

作者： Yuan, Xiangzhou Cao, Yang Li, Jie Patel, Anil Kumar Dong, Cheng-Di Jin, Xin Gu, Cheng Yip, Alex C.K. Tsang, Daniel C.W. Ok, Yong Sik Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control School of Energy and Environment Southeast University Nanjing210096 China Korea Biochar Research Center APRU Sustainable Waste Management Program & Division of Environmental Science and Ecological Engineering Korea University Seoul02841 Korea Republic of Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong CAS Key Laboratory of Urban Pollutant Conversion Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China Institute of Aquatic Science and Technology College of Hydrosphere National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan State Key Laboratory of Pollution Control and Resource Reuse School of Environment Nanjing University Nanjing210023 China Department of Chemical and Process Engineering University of Canterbury Christchurch New Zealand Research Centre for Resources Engineering towards Carbon Neutrality The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

The sustainable utilization of biochar produced from biomass waste could substantially promote the development of carbon neutrality and a circular economy. Due to their cost-effectiveness, multiple functionalities, tailorable porous structure, and thermal stability, biochar-based catalysts play a vital role in sustainable biorefineries and environmental protection, contributing to a positive, planet-level impact. This review provides an overview of emerging synthesis routes for multifunctional biochar-based catalysts. It discusses recent advances in biorefinery and pollutant degradation in air, soil, and water, providing deeper and more comprehensive information of the catalysts, such as physicochemical properties and surface chemistry. The catalytic performance and deactivation mechanisms under different catalytic systems were critically reviewed, providing new insights into developing efficient and practical biochar-based catalysts for large-scale use in various applications. Machine learning (ML)-based predictions and inverse design have addressed the innovation of biochar-based catalysts with high-performance applications, as ML efficiently predicts the properties and performance of biochar, interprets the underlying mechanisms and complicated relationships, and guides biochar synthesis. Finally, environmental benefit and economic feasibility assessments are proposed for science-based guidelines for industries and policymakers. With concerted effort, upgrading biomass waste into high-performance catalysts for biorefinery and environmental protection could reduce environmental pollution, increase energy safety, and achieve sustainable biomass management, all of which are beneficial for attaining several of the United Nations Sustainable Development Goals (UN SDGs) and Environmental, Social and Governance (ESG). © 2023 The Authors

关键词： Biodiversity

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Dietary silymarin ameliorating reproductive and lactation performance of sows via regulating body antioxidant and metabolism

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Digital Chinese Medicine 2022年第3期5卷 286-294页

作者： WEI Liangkai HOU Gaifeng LONG Cimin CHEN Fengming BAI Xinliang LI Rui YIN Yulong Chinese Academy of Sciences Key Laboratory of Agro-ecological Processes in Subtropical Region National Engineering Laboratory for Poultry Breeding Pollution Control and Resource TechnologyKey Laboratory of Animal Nutritional Physiology and Metabolic Process of HunanInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaHunan 410125China Nanning Dabei Agricultural Feed Technology Co. Ltd.NanningGuangxi 530105China Academician Workstation Changsha Medical UniversityChangshaHunan 410219China Inner Mongolia Ever Brilliance Biotechnology Co. Ltd.TongliaoInner Mongolia 028400China

Objective The experiment was conducted to explore the effects of silymarin on reproductive and lactation performance,serum antioxidants,and body metabolism of *** Sixty pregnant sows(85 d,Large×Landrace)with similar genetic background,body condition,and parity were randomly divided into three groups,and each group has 20 individually housed *** sows in the control group(CG)were fed with basal diet,and those in the experimental group A(EGA)and B(EGB)were fed with basal diet containing 250 and 500 mg/kg silymarin,*** experiment lasted 46 days from day 85 of gestation to the end of lactation(weaning on day 17).The milk composition and serum biochemical para-meters were determined by a milk composition analyzer and a blood biochemical analyzer,*** antioxidant indexes and plasma hormone levels were measured using the biochemical *** gas chromatograph was applied to detect the fecal short chain fatty *** Compared with the CG,the total feed intake(TFI)and average daily feed intake(ADFI)were significantly increased(P<0.01),and the urea content in regular milk tended to increase(P=0.095)in the *** serum malondialdehyde(MDA)contents were decreased on day 90 of gestation and the day of farrowing(P<0.01),and the serum contents of total antioxidant capacity(T-AOC)tended to increase on day 17 of lactation(P=0.099)compared with the *** with the CG,the serum triglyceride(TG)concentrations in the EG tended to increase on day 90 of gestation(P=0.062),and the content of serum total protein(TP)and albumin(ALB)reduced on day 17 of lactation(P<0.01).Compared with the CG,plasm D-lactic acid content was decreased(P<0.05),and the plasma prostaglandin(PG)level tended to increase(P=0.088)in the EG on the day of farrowing and day 17 of *** with the CG,fecal isobutyric acid concentration in the EG significantly decreased on the day of farrowing(P<0.05).Conclusion Adding 250-500 mg/kg silymarin to diets from the l

关键词： Silymarin Sow Reproductive and lactation performance Antioxidant Body metabolism

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Printability and properties of PSNZT piezoelectric ceramics fabricated by DLP additive manufacturing

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Ceramics International 2025年

作者： Yu, Mengyuan Fan, Guifen Li, Yingkang Ling, Xile Gong, Feng Liu, Gang Bai, Jiaming Li, Mantian Zhou, Peng Zhang, Dongyang Sun, Lining Hubei Key Laboratory of Plasma Chemistry and Advanced Materials School of Materials Science and Engineering Wuhan Institute of Technology Wuhan430205 China Institute of Intelligent Manufacturing Technology Shenzhen Polytechnic University Shenzhen518055 China MOE Huazhong University of Science and Technology Wuhan430074 China Department of Mechanical and Electronic Engineering College of Mechatronics and Control Engineering Shenzhen University Shenzhen518055 China Shenzhen Blueswin Industrial Co. Ltd Shenzhen518117 China Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen518055 China Institute of Critical Materials for Integrated Circuits Shenzhen Polytechnic University Shenzhen518055 China Robotics and Microsystems Center School of Mechanical and Electric Engineering Soochow University Suzhou215021 China

Achieving the synergy of low viscosity, high printing precision and enhanced curing ability for lead zirconate titanate (PZT) components is a critical issue in the field of digital light processing (DLP). Herein, the effect of calcination temperature on the morphology and grain size of PSNZT [(Pb0.92Sr0.08)(Zr0.533Ti0.443Nb0.024)O3]ceramic powder has been investigated, and a lowest viscosity, higher printing precision and enhanced curing ability of PSNZT ceramic slurry has been achieved, resulting in a high piezoelectric constant (d33 = 379pC/N) and a high dielectric constant (Εr = 1308@100 KHz) via DLP process combined with following sintering densification (1220 °C/3 h). © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Piezoelectric ceramics

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