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In search of optimal building behavior models for model predictive control in the context of flexibility

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Building Simulation 2024年第1期17卷 71-91页

作者： Arash Erfani Tohid Jafarinejad Staf Roels dirk Saelens KU Leuven Department of Civil EngineeringBuilding Physics and Sustainable Design SectionKasteelpark Arenberg 40 Bus 24473001 HeverleeBelgium EnergyVille Thor Park 8310Genk 3600Belgium

Model predictive control(MPC)is an advanced control *** has been deployed to harness the energy flexibility of a *** requires a dynamic model of the building to achieve such an ***,developing a suitable predictive model is the main challenge in MPC implementation forflexibility *** studyfocuses on the application of key performance indicators(KPls)to evaluate the suitability of MPC models via feature *** this end,multiple models were developed for two houses.A feature selection method was developed to select an appropriate feature space to train the *** predictive models were then quantified based on one-step ahead prediction error(OSPE),a standard KPI used in multiple studies,and a less-often KPl:multi-step ahead prediction error(MSPE).An MPC workflow was designed where different models can serve as the predictive *** showed that MSPE better demonstrates the performance of predictive models used for flexibility *** revealed that up to 57% of the flexibility potential and 48% of energy use reduction are not exploited if MSPE is not minimized while developing a predictive model.

关键词： building flexibility model predictive control for building building behaviour identification smart home

Sturge–Weber syndrome:an update for the pediatrician

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World Journal of Pediatrics 2024年第5期20卷 435-443页

作者： Emilie Dingenen Damien Segers Hannelore De Maeseneer dirk Van Gysel Ghent University Faculty of Medicine and Health Sciences GhentBelgium Department of Pediatrics O.L.Vrouw Hospital AalstMoorselbaan 1649300AalstBelgium Interdisciplinary Unit of Pediatric Dermatology Vrije Universiteit Brussel(VUB)Universitair Ziekenhuis Brussel(UZ Brussel)BrusselsBelgium

Sturge–Weber syndrome(SWS)is a rare congenital neurocutaneous disorder characterized by the simultaneous presence of both cutaneous and extracutaneous capillary *** usually presents as a facial port-wine birthmark,with a varying presence of leptomeningeal capillary malformations and ocular vascular *** latter may lead to significant neurological and ocular morbidity such as epilepsy and *** is most often caused by a somatic mutation involving the G protein subunit alpha Q or G protein subunit alpha 11 gene causing various alterations in downstream signaling *** specifically conducted a comprehensive review focusing on the current knowledge of clinical practices,the latest pathophysiological insights,and the potential novel therapeutic avenues they *** sources A narrative,non-systematic review of the literature was conducted,combining expert opinion with a balanced review of the available literature.A search of PubMed,Google Scholar and Embase was conducted,using keywords“Sturge–Weber Syndrome”OR“SWS”,“Capillary malformations”,“G protein subunit alpha 11”OR“G protein subunit alpha Q”.Results One of the hallmark features of SWS is the presence of a port-wine birthmark at birth,and forehead involvement is most indicative for *** most common ocular manifestations of SWS are glaucoma and choroidal *** presents in either in infancy(0–3 years of age)or later in *** complications are common in SWS,occurring in about 70%–80%of patients,with seizures being the most common *** significantly impacts the quality of life for patients and their families,and requires a multidisciplinary approach for diagnosis and ***,no disease-modifying therapies exist,and treatment is mostly focused on symptoms or complications as they *** SWS remains a complex and heterogeneous *** research is needed to optimize diagnostic and therapeutic strategies,and to transl

关键词： Capillary malformations G-protein Gq-G11 Port-wine birthmark Neurocutaneous disorder Sturge-Weber syndrome

Highly efficient vanadium redox flow batteries enabled by a trilayer polybenzimidazole membrane assembly

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Carbon Energy 2024年第7期6卷 191-204页

作者： Trung Tuyen Bui Mingyu Shin Mohammad Rahimi Anders Bentien Yongchai Kwon dirk Henkensmeier Hydrogen·Fuel Cell Research Center Korea Institute of Science and Technology(KIST)SeoulRepublic of Korea Department of Chemical and Biomolecular Engineering Seoul National University of Science and TechnologySeoulRepublic of Korea Department of Biological and Chemical Engineering Aarhus UniversityAarhusDenmark KIST School Division of Energy and Environment TechnologyUniversity of Science and TechnologySeoulRepublic of Korea Graduate School of Energy and Environment Korea UniversitySeoulRepublic of Korea

A novel polybenzimidazole(PBI)-based trilayer membrane assembly is developed for application in vanadium redox flow battery(VRFB).The membrane comprises a 1μm thin cross-linked poly[2,2′-(p-oxydiphenylene)−5,5′-bibenzimidazole](OPBI)sandwiched between two 20μm thick porous OPBI membranes(p-OPBI)without further lamination *** trilayer membrane demonstrates exceptional properties,such as high conductivity and low area-specific resistance(ASR)of 51 mS cm−1 and 81mΩcm^(2),*** with vanadium electrolyte increases the ASR of trilayer membrane only to 158mΩcm^(2),while that of Nafion is 193mΩcm^(2).VO^(2+)permeability is 2.73×10^(-9) cm^(2) min^(−1),about 150 times lower than that of Nafion *** addition,the membrane has high mechanical strength and high chemical stability against VO^(2+).In VRFB,the combination of low resistance and low vanadium permeability results in excellent performance,revealing high Coulombic efficiency(>99%),high energy efficiency(EE;90.8%at current density of 80mA cm^(−2)),and long-term *** EE is one of the best reported to date.

关键词： polybenzimidazole porous membrane proton conductivity trilayer VRFBs

Characterization and quantification of multi-field coupling in lithium-ion batteries under mechanical constraints

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Journal of Energy Chemistry 2024年第8期95卷 364-379,I0009页

作者： Xue Cai Caiping Zhang Zeping Chen Linjing Zhang dirk Uwe Sauer Weihan Li National Active Distribution Network Technology Research Center Beijing Jiaotong UniversityBeijing 100044China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityCampus Boulevard 8952074 AachenGermany Center for Ageing Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems(CARL)Campus-Boulevard 8952074 AachenGermany Juelich Aachen Research Alliance JARA-EnergyAachenGermany Helmholtz Institute Münster(HI MS) IEK-12Forschungszentrum JülichGermany

The safety and durability of lithium-ion batteries under mechanical constraints depend significantly on electrochemical,thermal,and mechanical fields in *** and quantifying the multi-field coupling behaviors requires interdisciplinary ***,we design experiments under mechanical constraints and introduce an in-situ analytical framework to clarify the complex interaction mechanisms and coupling degrees among multi-physics *** proposed analytical framework integrates the parameterization of equivalent models,in-situ mechanical analysis,and quantitative assessment of coupling *** results indicate that the significant impact of pressure on impedance at low temperatures results from the diffusion-controlled step,enhancing kinetics when external pressure,like 180 to 240 k Pa at 10℃,is *** diversity in control steps for the electrochemical reaction accounts for the varying impact of pressure on battery performance across different *** thermal expansion rate suggests that the swelling force varies by less than 1.60%per unit of elevated temperature during the lithiation *** introducing a composite metric,we quantify the coupling correlation and intensity between characteristic parameters and physical fields,uncovering the highest coupling degree in electrochemical-thermal *** results underscore the potential of analytical approaches in revealing the mechanisms of interaction among multi-fields,with the goal of enhancing battery performance and advancing battery management.

关键词： Lithium-ion battery Muti-field coupling Mechanical constraints Interaction mechanisms Quantitative analysis

Gene expression,transcription factor binding and histone modification predict leaf adaxial-abaxial polarity related genes

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Horticultural Plant Journal 2024年第4期10卷 971-982页

作者： Wei Sun Zhicheng Zhang Guusje Bonnema Xiaowu Wang Aalt dirk Jan van Dijk State Key Laboratory of Vegetable Biobreeding Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijing 100081China Sino-Dutch Joint Lab of Vegetable Genomics Beijing 100081China Bioinformatics Group Wageningen University and Research6708 PB Wageningenthe Netherlands Plant Breeding Wageningen University and Research6708 PB Wageningenthe Netherlands Biosystems Data Analysis Swammerdam Institute for Life SciencesUniversity of Amsterdam1090 GE Amsterdamthe Netherlands

Leaf adaxial-abaxial(ad-abaxial)polarity is crucial for leaf morphology and function,but the genetic machinery governing this process remains *** uncover critical genes involved in leaf ad-abaxial patterning,we applied a combination of in silico prediction using machine learning(ML)and experimental analysis.A Random Forest model was trained using genes known to influence ad-abaxial polarity as ground *** expression data from various tissues and conditions as well as promoter regulation data derived from transcription factor chromatin immunoprecipitation sequencing(ChIP-seq)was used as input,enabling the prediction of novel ad-abaxial polarity-related genes and additional transcription *** to this,available and newly-obtained transcriptome data enabled us to identify genes differentially expressed across leaf ad-abaxial *** on these analyses,we obtained a set of 111 novel genes which are involved in leaf ad-abaxial *** explore implications for vegetable crop breeding,we examined the conservation of expression patterns between Arabidopsis and Brassica rapa using single-cell *** results demonstrated the utility of our computational approach for predicting candidate genes in crop *** findings expand the understanding of the genetic networks governing leaf ad-abaxial differentiation in agriculturally important vegetables,enhancing comprehension of natural variation impacting leaf morphology and development,with demonstrable breeding applications.

关键词： Machine learning Leaf polarity Arabidopsis thaliana Brassica rapa Transcription factor

Comparison of corona effect prediction criteria on sphere-plane configuration

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High Voltage 2024年第4期9卷 957-969页

作者： Manuel De La Hoz Petrus Jacobus Pieterse Agurtzane Etxegarai Diego Gonzalez Angel Javier Mazon dirk Uhrlandt University of the Basque Country BilbaoSpain University of Rostock RostockGermany Leibniz Institute for Plasma Science and Technology GreifswaldGermany

When designing high-voltage elements,knowing if the corona effect will be present during their life cycle is ***,designers consider several prediction criteria based on physical features related to breakdown discharge principles to predict the corona *** introduced practical set-up consists of a concave cone electrode with a hemispheric tip above a plate to evaluate selected corona prediction *** hemisphere has a fixed diameter of 7 mm,and the electrode separation ranges from 2.5 to 39 *** about the corona mode inception under different voltage sources was extracted using an intensified charge-coupled device camera and a partial discharge *** prediction criteria were connected to a specific corona mode depending on the main discharge structure behind its *** average deviation between these criteria and experimental results was around eight *** assumptions in criteria are also discussed in light of the experimental results.

关键词： effect. electrode effect

Identifying the validity domain of machine learning models in building energy systems

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Energy and AI 2024年第1期15卷 328-341页

作者： Martin Rätz Patrick Henkel Phillip Stoffel Rita Streblow dirk Müller RWTH Aachen University E.ON Energy Research CenterInstitute for Energy Efficient Buildings and Indoor ClimateMathieustraβe 10Aachen52074Germany

The building sector significantly contributes to climate *** improve its carbon footprint,applications like model predictive control and predictive maintenance rely on system ***,the high modeling effort hinders practical *** learning models can significantly reduce this modeling *** ensure a machine learning model’s reliability in all operating states,it is essential to know its validity *** states outside the validity domain might lead to extrapolation,resulting in unpredictable *** paper addresses the challenge of identifying extrapolation in data-driven building energy system models and aims to raise knowledge about *** that,a novel approach is proposed that calibrates novelty detection algorithms towards the machine learning *** novelty detection algorithms are identified through a literature review and a benchmark test with 15 candidates.A subset of five algorithms is then evaluated on building energy ***,on two-dimensional data,displaying the results with a novel visualization *** on more complex multi-dimensional use *** methodology performs well,and the validity domain could be *** visualization allows for a profound analysis and an improved understanding of the fundamental effects behind a machine learning model’s validity domain and the extrapolation regimes.

关键词： Extrapolation detection Validity domain Novelty detection Machine learning Artificial neural network Data-driven model predictive control Building energy systems

A strategy for enhancing luminescence thermometry via Ta^(5+)-triggered K_(0.5)Na_(0.5)NbO_(3):Er^(3+)transparent ceramics

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Journal of Materiomics 2024年第5期10卷 984-994页

作者： Quan Zhang Zetian Yang Mingyuan Wang Yang Liu Shuangying Lei Laihui Luo dirk Poelman Key Laboratory of MEMS of Ministry of Education School of Electrical Science and EngineeringSoutheast UniversityNanjing210096China LumiLab Department of Solid StateSciencesGhent UniversityKrijgslaan 281-S1GhentB-9000Belgium School of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing210094China Department of Microelectronic Science and Engineering Ningbo UniversityNingbo315211China

Luminescence thermometry is a reliable approach for remote thermal sensing,and extensive studies have been devoted to designing a luminescence thermometer with heightened thermal ***,we report a promising luminescence thermometric material,Ta^(5+)-substituted K_(0.5)Na_(0.5)NbO_(3):0.003Er^(3+)transparent ferroelectric *** temperature sensing sensitivity is significantly improved by adjusting the concentration of Ta^(5+)in the ***,utilizing the fluorescence intensity ratio from the 2H_(11/2) and 4S_(3/2) thermally coupled states of Er^(3+)as a detecting signal within the temperature range of 273–543 K,an optimal maximum absolute sensitivity of 0.0058 K–1 and relative sensitivity of 0.0158 K–1 are achieved for K_(0.5)Na_(0.5)NbO_(3):0.65Ta^(5+)/0.003Er^(3+).Simultaneously,as the concentration of Ta5+increase,a unique evolution of structural phase transitions is observed from orthorhombic to tetragonal and then to *** is accompanied by an improvement in luminescence temperature sensing properties,and the best sensitivity is demonstrated in the cubic-phase ***,a huge change in infrared luminescence properties as a function of temperature is found around the structure transition temperature of the *** results indicate a promising potential for achieving highly sensitive thermometry or monitoring phase structure transitions through luminescence thermometry behavior in the K_(0.5)Na_(0.5)NbO_(3) host.

关键词： Transparent ceramics Temperature sensing Phase transition Upconversion emission

An illustrated guide to:Parsimonious multi-scale full-waveform inversion

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Earthquake Science 2024年第6期37卷 574-583页

作者： Andreas Fichtner Solvi Thrastarson dirk-Philip van Herwaarden Sebastian Noe Department of Earth Sciences ETH ZürichZürich 8049Switzerland

Having been a seemingly unreachable ideal for decades,3-D full-waveform inversion applied to massive seismic datasets has become reality in recent *** achieving unprecedented resolution,it has provided new insight into the structure of the Earth,from the upper few metres of soil to the entire *** by these successes,the technology is now being translated to medical ultrasound and non-destructive *** remarkable progress,the computational cost of fullwaveform inversion continues to be a major *** limits the amount of data that can be exploited,and it largely inhibits quantitative and comprehensive uncertainty *** notes complement a presentation on recent developments in full-waveform inversion that are intended to reduce computational cost and assimilate more data,thereby improving tomographic *** suite of strategies includes flexible and user-friendly spectral-element simulations,the design of wavefieldadapted meshes that harness prior information on wavefield geometry,dynamic mini-batch optimisation that naturally takes advantage of data redundancies,and collaborative multi-scale updating to jointly constrain crustal and mantle structure.

关键词： Earth model seismology full-waveform inversion