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Development of Cloud Movement Prediction Method for Solar Photovoltaic System

Journal of Harbin Institute of Technology(New Series) 2022年第1期29卷 64-69页

作者： Fei Lu siaw yaw yoong sia Mallikarachchi Dilshani Center for Advanced Electrical and Electronic Systems(CAEES) Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityKota DamansaraPetaling Jaya 47810Malaysia

Variability of power generation due to the prevalence of cloud cover over solar photovoltaics(PV)power plants is a challenge faced by grid operators and independent system operators(ISOs)in the integration of solar energy into the *** forecasts generated through ground⁃based sky imaging systems are useful for short⁃term cloud motion ***,the cost of sky imaging systems currently available in industries is relatively ***,a ground⁃based camera system utilizing a simple webcam is proposed in this *** proposed method can produce predictions with high levels of *** were generated through video analysis using MATLAB for the computation of cloud motion *** image processing involved in the implementation of the proposed system is based on the detection of cloud regions in the form of a cluster of white pixels within individual frames and tracking their motion through comparison of subsequent *** study describes the techniques and processes used in the development of the proposed method,along with the evaluation of performance through analysis of the *** predictions were carried out over multiple time *** time horizons selected include 5,10,15,20,25,and 30 *** overall results computed showed promising accuracy levels above 94.60%,which makes it adequate for generating reliable forecasts.

关键词： forecast solar photovoltaic cloud cover MATLAB

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Reliability Based Multi-Objective Thermodynamic Cycle Optimisation of Turbofan Engines Using Luus-Jaakola Algorithm

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Energy Engineering 2021年第4期118卷 1057-1068页

作者： Vin Cent Tai Yong Chai Tan Nor Faiza Abd Rahman yaw yoong sia Chan Chin Wang Lip Huat Saw Centre for Modelling and Simulation Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityPetaling JayaSelangor47810Malaysia Mechanical Engineering Department Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityPetaling JayaSelangor47810Malaysia Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul RahmanKajangSelangor43200Malaysia

Aircraft engine design is a complicated process,as it involves huge number of *** design process begins with parametric cycle *** is crucial to determine the optimum values of the cycle parameters that would give a robust design in the early phase of engine development,to shorten the design cycle for cost saving and man-hour *** obtain a robust solution,optimisation program is often being executed more than once,especially in Reliability Based Design Optimisations(RBDO)with Monte-Carlo Simulation(MCS)scheme for complex systems which require thousands to millions of optimisation loops to be *** paper presents a fast heuristic technique to optimise the thermodynamic cycle of two-spool separated flow turbofan engines based on energy and probability of failure criteria based on Luus-Jaakola algorithm(LJ).A computer program called Turbo Jet Engine Optimiser v2.0(TJEO-2.0)has been developed to perform the optimisation *** program is made up of inner and outer loops,where LJ is used in the outer loop to determine the design variables while parametric cycle analysis of the engine is done in the inner loop to determine the engine ***-Hypercube-Sampling(LHS)technique is used to sample the design and model variations for uncertainty *** results show that optimisation without reliability criteria may lead to high probability of failure of more than 11%on *** thrust obtained with uncertainty quantification was about 25%higher than the one without uncertainty quantification,at the expense of less than 3%of fuel *** proposed algorithm can solve the turbofan RBDO problem within 3 min.

关键词： Multi-objective design optimisation reliability based design optimisation turbofan engines luus-jaakola algorithm

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Dynamic phenotypic heterogeneity and the evolution of multiple RNA subtypes in hepatocellular carcinoma:the PLANET study

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National Science Review 2022年第3期9卷 96-109页

作者： Weiwei Zhai Hannah Lai Neslihan Arife Kaya Jianbin Chen Hechuan Yang Bingxin Lu Jia Qi Lim Siming Ma Sin Chi Chew Khi Pin Chua Jacob Josiah Santiago Alvarez Pauline Jieqi Chen Mei Mei Chang Lingyan Wu Brian K.P.Goh Alexander yaw-Fui Chung Chung Yip Chan Peng Chung Cheow Ser Yee Lee Juinn Huar Kam Alfred Wei-Chieh Kow Iyer Shridhar Ganpathi Rawisak Chanwat Jidapa Thammasiri Boon Koon yoong Diana Bee-Lan Ong Vanessa H.de Villa Rouchelle D.Dela Cruz Tracy Jiezhen Loh Wei Keat Wan Zeng Zeng Anders Jacobsen Skanderup Yin Huei Pang Krishnakumar Madhavan Tony Kiat-Hon Lim Glenn Bonney Wei Qiang Leow Valerie Chew Yock Young Dan Wai Leong Tam Han Chong Toh Roger Sik-Yin Foo Pierce Kah-Hoe Chow Genome Institute of Singapore Agency for Science Technology and Research Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences School of Biological Sciences Nanyang Technological University Division of Biosciences Faculty of Life Sciences Division of Surgery and Surgical Oncology National Cancer Centre Department of Hepato-Pancreato-Biliary and Transplant Surgery Singapore General Hospital Division of Hepatobiliary and Pancreatic Surgery Department of Surgery University Surgical Cluster National University Health System Hepato-Pancreato-Biliary Surgery Unit Department of Surgery National Cancer Institute Division of Pathology National Cancer Institute Department of Surgery Faculty of Medicine University of Malaya Department of Surgery and Center for Liver Disease Management and Transplantation The Medical City 13. Department of Laboratories The Medical City Department of Pathology Singapore General Hospital Institute for Infocomm Research ASTAR Department of Pathology National University Health System Translational Immunology Institute (TII) Sing Health Duke-NUS Academic Medical Centre Division of Gastroenterology and Hepatology University Medicine Cluster National University Hospital Department of Biochemistry Yong Loo Lin School of Medicine National University of Singapore Cancer Science Institute of Singapore National University of Singapore Division of Medical Oncology National Cancer Center Singapore Cardiovascular Research Institute National University of Singapore National University Healthcare System Singhealth-Duke-NUS Academic Surgery Program Duke-NUS Graduate Medical School Institute of Molecular and Cell Biology Agency for Science Technology and Research

Intra-tumor heterogeneity(ITH) is a key challenge in cancer treatment, but previous studies have focused mainly on the genomic alterations without exploring phenotypic(transcriptomic and immune)heterogeneity. Using one of the largest prospective surgical cohorts for hepatocellular carcinoma(HCC)with multi-region sampling, we sequenced whole genomes and paired transcriptomes from 67 HCC patients(331 samples). We found that while genomic ITH was rather constant across stages, phenotypic ITH had a very different trajectory and quickly diversified in stage Ⅱ patients. Most strikingly, 30% of patients were found to contain more than one transcriptomic subtype within a single tumor. Such phenotypic ITH was found to be much more informative in predicting patient survival than genomic ITH and explains the poor efficacy of single-target systemic therapies in HCC. Taken together, we not only revealed an unprecedentedly dynamic landscape of phenotypic heterogeneity in HCC, but also highlighted the importance of studying phenotypic evolution across cancer types.

关键词： NADH oxidase H2O2 production oxidative phosphorylation

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