cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Computer Vision Method for Extracting an Induced Electroluminescence Signal from Photovoltaic Modules in Daylight Conditions Using Drone-Captured Images
Creators: name: Hass, T.K.
name: Spataru, S.V.
name: Santamaria Lancia, A.A.
name: Parikh, H.R.
name: Poulsen, P.B.
name: Dos Reis Benatto, G.A.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1573-1579
description: Electroluminescence (EL) imaging is a powerful technique for evaluating the condition of photovoltaic (PV) modules and individual cells. While drones are a cheap and practical imaging medium, they present a challenge in terms of image stabilization. Flying during daylight hours has the advantage of being safer, cheaper, and camera-focus is easier to maintain. The main drawback is that sunlight introduces sufficient background noise to dominate the EL signal. We present a method for automatically tracking and rectifying a PV module in a stack of EL images captured by drone in daylight, and subsequently rasterizing the EL signal (S/N < 0.1). The method combines feature detection with direct corner alignment, and is applicable to any type of drone-based PV-inspection. To extract the EL signal, a stabilized image stack is analyzed depth-wise. Background noise is calculated and subtracted, and a Fast Fourier Transform (FFT) analysis is performed to form an EL amplitude map of the module. The analysis is validated by examining adjacent frequencies and by comparison with stationary EL. Results show promising image quality that fares well compared to stationary EL.
The Need for an Accuracy Check of Irradiation Sensors for Photovoltaic Power Plants
Creators: name: Mühleisen, W.
name: Neumaier, L.
name: Taverna, F.
name: Makula, M.
name: Streit, B.
name: Graefe, M.
name: Gradwohl, C.
name: Kosel, J.
name: Hirschl, C.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1553-1556
description: Operation and maintenance companies, PV plant owners and scientific PV institutes have the challenge to monitor PV installations correctly. When a changed performance ratio is recognized, it is to clarify whether the installation or the sensor is wrong. To be sure that solar irradiation sensors for photovoltaic applications are accurate, a cross-check is applied for four different application cases in the laboratory and in the field. These examples include comparisons between measurement devices like a pyranometer, silicon solar cell irradiation sensors or a photodiode sensor. In the end, guidelines for reliable measurements in the field are provided.
Percolation of optical excitation mediated by near-field interactions
Creators: name: Naruse, Makoto
name: Kim, Song-Ju
name: Takahashi, Taiki
name: Aono, Masashi
name: Akahane, Kouichi
name: D'Acunto, Mario
name: Hori, Hirokazu
name: Thylen, Lars
name: Katori, Makoto
name: Ohtsu, Motoichi
Publisher: name: arXiv
Year: 2016
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Optical excitation transfer in nanostructured matter has been intensively studied in various material systems for versatile applications. Herein, we discuss the percolation of optical excitations in randomly organized nanostructures caused by optical near-field interactions governed by Yukawa potential in a two-dimensional stochastic model. The model results demonstrate the appearance of two phases of percolation of optical excitation as a function of the localization degree of near-field interaction. Moreover, it indicates sublinear scaling with percolation distance when the light localization is strong. The results provide fundamental insights into optical excitation transfer and will facilitate the design and analysis of nanoscale signal-transfer characteristics.
Assessment of Photovoltaic Power Plants Using Fixed Tilt, Single Axis and Two Axis Tracking Systems
Creators: name: Alves Veríssimo, P.H.
name: Rüther, R.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1557-1562
description: This paper addresses the technical (using performance parameters such as Yield, Performance Ratio and Capacity Factor) and economic (using the Levelised Cost of Energy - LCOE) evaluation of a 2 MW photovoltaic solar power plant to be installed in the municipality of Jaguari-RS, comparing two different technologies of photovoltaic modules (multicrystalline silicon and thin-film cadmium telluride) and three different mounting systems (stationary, single axis tracker and two axes tracker), totalizing six different topologies.
PV System Degradation Rates in the Nordics
Creators: name: Sveen, E.B.
name: Øgaard, M.B.
name: Selj, J.H.
name: Otnes, G.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1563-1566
description: Degradation rate estimates for PV systems are essential in the estimation of the levelized cost of energy (LCOE) and an important factor for the deployment of PV systems. Although degradation is climate dependent, there are few studies on degradation rates in the Nordics. To help address this, we here report on a degradation rate study of a commercial mc-Si PV system in Norway, with the use of statistical methods on operational and environmental measurement-data. We base our work on the existing year-on-year (YOY) approach together with the temperature corrected performance ratio. To address problems with especially noisy data typical for PV system data in Nordic climates, as well as datasets with gaps of missing data, we investigate two variations of the YOY method; one previously published and one developed in this work. The mean module degradation rates are in the range of 0.10-0.19%/year, depending on the statistical method used to obtain the estimate, which are well below the reported median worldwide degradation rate of 0.5-0.6%/year. We find that our modification to the YOY method, which we denote dynamic YOY, give the smallest confidence intervals for our dataset.
A Novel Approach to Distributed Multi-Class SVM
Creators: name: Govada, Aruna
name: Ranjani, Shree
name: Viswanathan, Aditi
name: Sahay, S. K.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Machine Learning (cs.LG)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: With data sizes constantly expanding, and with classical machine learning algorithms that analyze such data requiring larger and larger amounts of computation time and storage space, the need to distribute computation and memory requirements among several computers has become apparent. Although substantial work has been done in developing distributed binary SVM algorithms and multi-class SVM algorithms individually, the field of multi-class distributed SVMs remains largely unexplored. This research proposes a novel algorithm that implements the Support Vector Machine over a multi-class dataset and is efficient in a distributed environment (here, Hadoop). The idea is to divide the dataset into half recursively and thus compute the optimal Support Vector Machine for this half during the training phase, much like a divide and conquer approach. While testing, this structure has been effectively exploited to significantly reduce the prediction time. Our algorithm has shown better computation time during the prediction phase than the traditional sequential SVM methods (One vs. One, One vs. Rest) and out-performs them as the size of the dataset grows. This approach also classifies the data with higher accuracy than the traditional multi-class algorithms.
description: 8 Pages
Quantitative Assessment of the Power Loss of Silicon PV Modules by IR Thermography and Its Practical Application in the Field
Creators: name: Denz, J.
name: Buerhop-Lutz, C.
name: Camus, C.
name: Kruse, I.
name: Pickel, T.
name: Doll, B.
name: Hauch, J.
name: Brabec, C.J.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1542-1547
description: On the road to more photovoltaic (PV) energy production, high-throughput and non-disruptive maintenance routines are needed to ensure a reliable long-term performance of PV plants. Additionally, a method that allows a quantitative assessment of silicon PV module performance solely by measuring cell temperatures via infrared thermography (IR) is more easily applicable in a high-throughput fashion using e.g. unmanned aerial vehicles (UAVs) than measuring each module individually. We introduced a mathematical framework to determine power losses of modules from IR images. The method makes use of the fact that, in a steady state closed system, energy that is not converted into electrical power has to be dissipated as heat. In this contribution, we reduce this method to practice by analysing the electrical performance of four PV modules with temperature anomalies at two different sites, which are equipped with a power monitoring system by the company Sunsniffer for validation. We present an analytical expression for the power-temperature-relationship, and discuss influences of convection and how to correct for them. We find that power predictions often deviate less than 3% from the monitoring data and confirm our theoretical considerations, allowing power loss to be quantified. Cases with larger deviations show that some influences are yet to be better understood and more data is needed.
Embeddings of the "New Massive Gravity"
Creators: name: Dalmazi, D.
name: Mendonça, E. L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Using different types of embeddings of equations of motion we investigate the existence of generalizations of the "New Massive Gravity" (NMG) model with the same particle content (massive gravitons). By using the Weyl symmetry as a guiding principle for the embeddings we show that the Noether gauge embedding approach leads us to a sixth order model in derivatives with either a massive or a massless ghost. If the Weyl symmetry is implemented by means of a Stueckelberg field we obtain a new scalar-tensor model for massive gravitons. It is ghost free and Weyl invariant at linearized level. The model can be nonlinearly completed into a scalar field coupled to the NMG theory. The elimination of the scalar field leads to a nonlocal modification of the NMG. We also prove to all orders in derivatives that there is no local, ghost free embedding of the linearized NMG equations of motion around Minkowski space when written in terms of one symmetric tensor. Regarding that point, NMG differs from the Fierz-Pauli theory, since in later case we can replace the Einstein-Hilbert action by specific $f(R,\Box\, R)$ generalizations and still keep the theory ghost free at linearized level.
Margaret Williamson Hospital Building Plans, Shanghai
Creators: name: :Unav
Publisher: name: University of Victoria Libraries
Year: 2022
Subjects: subject: Women--Health and hygiene
valueUri: http://id.worldcat.org/fast/1176758
subject: Hospitals
valueUri: http://id.worldcat.org/fast/961166
subject: Architects
valueUri: http://id.worldcat.org/fast/813114
subject: Hospital buildings--Design and construction
valueUri: http://id.worldcat.org/fast/1431923
subject: Women's hospitals
valueUri: http://id.worldcat.org/fast/1178754
subject: Hospitals--Planning
valueUri: http://id.worldcat.org/fast/961443
subject: Hospital buildings
valueUri: http://id.worldcat.org/fast/1431866

description: Pamphlet containing building plans by Hudec along with photos and descriptive information about the Margaret Williamson Memorial Hospital for Women and Children, now known as the Red House Hospital or the Obstetrics and Gynecology Hospital of Fudan University. Founded in 1884, it was the first hospital opened in Shanghai exclusively for the care of Chinese women and children.
Integrated Concept for PV Plant Monitoring and Model Based Analytics
Creators: name: Gradwohl, C.
name: Graefe, M.
name: Mühleisen, W.
name: Kienberger, T.
name: Langmayr, F.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1548-1552
description: Photovoltaic (PV) technology allows large scale investments in a renewable power-generating system at competitive levelized cost of energy (LCOE) and low environmental impact. Large scale PV installations operate in a highly competitive market environment where even small performance losses have high impact on profit margins. Therefore, operation at maximum performance is the key for long term profitability. This can be achieved by advanced performance monitoring and failure detection methodologies. Performance losses caused by instant failures or gradual degradations must be prevented by identifying the causes of failures in a quick and reliable manner. The identification of failures and root causes requires an integrated concept for plant monitoring and failure detection, which was realised as part of the Austrian OptPV4.0 research project. In this paper we present an integrated approach on model-based fault detection, diagnosis and prognosis for optimized maintenance activities based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study underperforming strings were detected reliably and possible root causes were identified. Overall, the integrated approach shall contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and shall be applied within the OptPV4.0 research project for monitoring photovoltaic plants.
Can Robotics in PV Plant Maintenance Develop Quickly Enough for the SET Roadmap?
Creators: name: Popescu, F.
name: Wendlandt, S.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1531-1535
description: In this study we address the issue of whether the field of robotics can supply the necessary technology readiness level (TRL) growth necessary to address the EU's Strategic Energy Technology (SET) roadmap targets for maintenance cost reductions in PV plants. The SET is a stakeholder-driven roadmap which shapes EU policy on, among others, PV sector growth, including measurable targets for performance, risk management and cost containment in different categories, including aspects of maintenance such as cost of diagnostics / failure analysis and quality control, lifetime and yield over lifetime. In the European context, with relatively rigid labor markets placing an inherent premium on night-time operations, 24-hour O&M automation is likely to play a leading role in meeting these targets. Moreover, in a global context robots can offer intensive maintenance in inhospitable and remote environments, where robot teams may integrate both multi-modal sensing and repair/cleaning action. We therefore investigate different maintenance needs and related actions, their relative frequency vs. age of installation and TRL levels of robotic solutions for each of these, where applicable, along with a prognosticated timetable of TRL / market penetration increases in each category the SET roadmap over the 5-10 year horizon.
Single-shot 3D motion picture camera with a dense point cloud
Creators: name: Willomitzer, Florian
name: Häusler, Gerd
Publisher: name: arXiv
Year: 2016
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We introduce a method and a 3D-camera for single-shot 3D shape measurement, with unprecedented features: The 3D-camera does not rely on pattern codification and acquires object surfaces at the theoretical limit of the information efficiency: Up to 30% of the available camera pixels display independent (not interpolated) 3D points. The 3D-camera is based on triangulation with two properly positioned cameras and a projected multi-line pattern, in combination with algorithms that solve the ambiguity problem. The projected static line pattern enables 3D-acquisition of fast processes and the take of 3D-motion-pictures. The depth resolution is at its physical limit, defined by electronic noise and speckle noise. The requisite low cost technology is simple.
description: Will be submitted to an appropriate OSA-Journal
Modeling the Landau-Gauge Ghost Propagator in 2, 3 and 4 Space-Time Dimensions
Creators: name: Cucchieri, Attilio
name: Dudal, David
name: Mendes, Tereza
name: Vandersickel, Nele
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present an analytic description of numerical results for the ghost propagator G(p^2) in minimal Landau gauge on the lattice. The data were produced in the SU(2) case using the largest lattice volumes to date, for d = 2, 3 and 4 space-time dimensions. Our proposed form for G(p^2) is derived from the one-loop relation between ghost and gluon propagators, considering a tree-level ghost-gluon vertex and our previously obtained gluon-propagator results \cite{Cucchieri:2011ig}. Although this one-loop expression is not a good description of the data, it leads to a one-parameter fit of our ghost-propagator data with a generally good value of χ^2/dof, comparable to other fitting forms used in the literature. At the same time, we present a simple parametrization of the difference between the lattice data and the one-loop predictions.
description: 21 pages, 16 figures (23 plots), 1 table
Techno-economic assessment of hydrogen production via dimethylether steam reforming and methanol steam reforming
Creators: name: Rahatade, Shardul S.
name: Mali, Nilesh A.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biophysics
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy

description: The present work reports the techno-economic analysis of hydrogen generation using Dimethyl Ether Steam Reforming (DMESR) and Methanol Steam Reforming (MSR) processes. For both processes, steady-state simulation models were developed using Aspen Plus. The two processes are analysed by taking into account the kinetics of the Cu/ZnO/Al2O3 catalyst for MSR and Cu–Ni/γ-Al2O3 catalyst for DMESR in an RPLUG model simulated as a Fixed Bed Reactor (FBR) at a temperature of 250°C and pressure 20 bar. The work dives into heat integration opportunities to reduce the operating cost of the two processes. The article also provides a gist of the approximate cost to produce hydrogen by the two processes by taking into consideration the cost of equipment and utilities involved. It is found that the TAC for DMESR is marginally higher than MSR mainly because of the higher cost of utilities involved. It was also found that NPV for MSR is comparatively higher than DMESR. The article also provides TAC for Selective Methanation of Carbon Monoxide (SMC) for both processes with the purpose of minimising CO.
Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stars
Creators: name: Wang, Xian-Yu
Publisher: name: Zenodo
Year: 2024

description: The stellar obliquity distribution of warm-Jupiter systems is crucial for constraining the dynamical history of Jovian exoplanets, as the warm Jupiters' tidal detachment likely preserves their primordial obliquity. However, the sample size of warm-Jupiter systems with measured stellar obliquities has historically been limited compared to that of hot Jupiters, particularly in hot-star systems. In this work, we present newly obtained sky-projected stellar obliquity measurements for warm-Jupiter systems, TOI-559, TOI-2025, TOI-2031, TOI-2485, TOI-2524, and TOI-3972, derived from the Rossiter-McLaughlin effect, and show that all six systems display alignment with a median measurement uncertainty of 13 degrees. Combining these new measurements with the set of previously reported stellar obliquity measurements, our analysis reveals that single-star warm-Jupiter systems tend to be aligned, even around hot stellar hosts. This alignment exhibits a 3.4-σ deviation from the Teff−λ dependency observed in hot-Jupiter systems, where planets around cool stars tend to be aligned, while those orbiting hot stars show considerable misalignment. The current distribution of spin-orbit measurements for Jovian exoplanets indicates that misalignments are neither universal nor primordial phenomena affecting all types of planets. The absence of misalignments in single-star warm-Jupiter systems further implies that many hot Jupiters, by contrast, have experienced a dynamically violent history.
Statistical Evaluation Approach of PV Plants for O&M
Creators: name: Dimitrievska, V.
name: Mühleisen, W.
name: Pittino, F.
name: Diewald, N.
name: Makula, M.
name: Kosel, J.
name: Hirschl, C.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1536-1541
description: Detecting failures in a PV plant is of vital importance for the productivity and can largely be done by analyzing the data recorded from various sensors. To increase the reliability of such methods, there is a need for an automatized procedure able to identify suspicious PV plants that could be further investigated with other more costly and accurate methods. This motivation has led to the definition of a statistical approach for evaluating the status of the plant through the years that can detect long-term failures in a PV plant. In this paper, the proposed approach is defined, elaborated and qualitatively verified. A set of PV plants were inspected using the proposed method. The results and observations show the potential of the developed method for evaluating PV plants for operation and maintenance purposes.
PV-AIDED: Photovoltaic Artificial Intelligence Defect Identification. Multichannel Encoder-decoder Ensemble Models for Electroluminescence Images of Thin-film Photovoltaic Modules, PEARL TF-PV.
Creators: name: Sovetkin, E.
name: Pieters, B.E.
name: Weber, T.
name: Achterberg, E.J.
name: Weeber, A.
name: Rau, B.
name: Rennhofer, M.
name: Theelen, M.
name: Martin, A.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1520-1527
description: The Solar-Era.net project PEARL TF-PV, [1], aims to reduce the uncertainties in the operation of thin-film solar power plants. To this end, one of the main parts of the project is the gathering of performance data and electroluminescence (EL) images of different types of thin-film solar cells and modules (see abstract of Mirjam Theelen et al, this conference). Detailed, local information on the module performance is obtained using EL imaging, which may provide early warning signs of degradation. A large number of samples (over 6000 modules) are analyzed, ranging from cells and modules produced in the different laboratories of the project partners to industrially produced modules used in power plants. Measurements are performed in laboratories as well as outdoor directly at the power plants location. All gathered data is stored in a database that in turn is used to develop a failure catalogue for thin-film modules that describes typical defects, visible with EL in various technologies, and their influence on the solar modules reliability and lifetime. In this work we present a novel image segmentation approach, aiming to identify commonly occurring defects in thin-film modules. We are building on top of the encoder-decoder neural networks framework, that have established itself as a standard tool in many other image processing applications. We demonstrate our software, PV-AIDED, is capable of fully automatic and fast EL image processing of full-sizes modules. We are able to reliably identify frequently occurring defects in thin-film modules, such as shunts and so called “droplets”. The framework is general and applicable to other types of defects, other types of PV images, as well as other types of PV technology.
Hubungan Antara Beban Kerja Dengan Stres Kerja Guru di Madrasah Tsanawiyah Negeri Karo
Creators: name: Indri Sofia, Candra Wijaya, Fatkhur Rohman
Publisher: name: Zenodo
Year: 2024

description: Penelitian ini bertujuan untuk meng  uji hubungan stres kerja dengan beban kerja guru di Madrasah Tsanawiyah Negeri Karo. Stres kerja sering kali muncul akibat tingginya beban kerja yang harus ditanggung guru, meliputi tanggung jawab mengajar, penyiapan materi, penilaian, dan tugas administratif lainnya. Metode yang digunakan dalam penelitian ini adalah penelitian kuantitatif dengan pendekatan Ex Post Facto dan Survey. Responden penelitian ini adalah seluruh guru yang mengajar di Madrasah Tsanawiyah Negeri Karo.  Temuan penelitian menunjukkan bahwa terdapat hubungan yang cukup antara variabel beban kerja dengan stres kerja guru (Y), dengan koefisien korelasi sebesar 0,600. Koefisien determinasi sebesar 0,360 menunjukkan terdapat hubungan antara beban kerja dengan stres kerja guru sebesar 36% (Y). dengan garis regresi ϶ = 21,023 + 1,448, linier dan prediktif
Spectrum analysis with quantum dynamical systems
Creators: name: Ng, Shilin
name: Ang, Shan Zheng
name: Wheatley, Trevor A.
name: Yonezawa, Hidehiro
name: Furusawa, Akira
name: Huntington, Elanor H.
name: Tsang, Mankei
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Measuring the power spectral density of a stochastic process, such as a stochastic force or magnetic field, is a fundamental task in many sensing applications. Quantum noise is becoming a major limiting factor to such a task in future technology, especially in optomechanics for temperature, stochastic gravitational wave, and decoherence measurements. Motivated by this concern, here we prove a measurement-independent quantum limit to the accuracy of estimating the spectrum parameters of a classical stochastic process coupled to a quantum dynamical system. We demonstrate our results by analyzing the data from a continuous optical phase estimation experiment and showing that the experimental performance with homodyne detection is close to the quantum limit. We further propose a spectral photon counting method that can attain quantum-optimal performance for weak modulation and a coherent-state input, with an error scaling superior to that of homodyne detection at low signal-to-noise ratios.
description: 12 pages, 4 figures
MIGA: Combining laser and matter wave interferometry for mass distribution monitoring and advanced geodesy
Creators: name: Canuel, B.
name: Pelisson, S.
name: Amand, L.
name: Bertoldi, A.
name: Cormier, E.
name: Fang, B.
name: Gaffet, S.
name: Geiger, R.
name: Harms, J.
name: Holleville, D.
name: Landragin, A.
name: Lefèvre, G.
name: Lhermite, J.
name: Mielec, N.
name: Prevedelli, M.
name: Riou, I.
name: Bouyer, P.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Geophysics (physics.geo-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The Matter-Wave laser Interferometer Gravitation Antenna, MIGA, will be a hybrid instrument composed of a network of atom interferometers horizontally aligned and interrogated by the resonant field of an optical cavity. This detector will provide measurements of sub Hertz variations of the gravitational strain tensor. MIGA will bring new methods for geophysics for the characterization of spatial and temporal variations of the local gravity field and will also be a demonstrator for future low frequency Gravitational Wave (GW) detections. MIGA will enable a better understanding of the coupling at low frequency between these different signals. The detector will be installed underground in Rustrel (FR), at the "Laboratoire Souterrain Bas Bruit" (LSBB), a facility with exceptionally low environmental noise and located far away from major sources of anthropogenic disturbances. We give in this paper an overview of the operating mode and status of the instrument before detailing simulations of the gravitational background noise at the MIGA installation site.
description: Proceedings of SPIE Photonics Europe conference, Brussels (Belgium), 3-7 April 2016
PV String Fault Detection by Using the Clustering of Module Operating Points for Large-Scale PV Power Plant
Creators: name: Tanina, K.
name: Ueda, Y.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1528-1530
description: With the increase in large-scale PV power plant, PV system’s fault detection becomes important. In this paper, we propose a new method for detecting fault strings by remote monitoring using module operating points data. This time, the analyzed system has one measured module in each string, and the case there is modules with a substring fault in the string was regarded as the target fault. Moreover, in order to reduce the installation cost of the pyranometer and thermometer, we detected faults without using the irradiance and temperature. We selected the reference module operating point from the measured data and created the simulated fault operating point without using irradiance / temperature correction. Then, clustering was performed using the Euclidean distances from these two points. After that, we calculated the fault detection rate and successfully detected the fault strings in the actual PV power plant.
PV Infrastructure 1993+ and New Test Facilities for Education and Research
Creators: name: Muntwyler, U.
name: Zurflüh, D.
name: Schüpbach, E.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1517-1519
description: In 1989, the worldwide first monetary “feed-in tariff” scheme for electricity from photovoltaics (PV) fed into the grid was invented and introduced in Burgdorf (Switzerland). Ten years before, in the late 1970s, (telecommunication) companies like Hasler AG in the Swiss capital of Bern had already con-ducted pioneering PV research. Here, we illustrate how innovative industry research in the region and pioneering governmental policy has interlinked with electrical engineering education at Bern University of Applied Sciences (BFH) in Burgdorf (Switzerland) since the 1990s.
PV-Module’s Backsheet Compositions Affecting PV-System’s Yield and Degradation
Creators: name: Buerhop-Lutz, C.
name: Pickel, T.
name: Winkler, T.
name: Stroyuk, O.
name: Camus, C.
name: Neswal, M.
name: Heindl, M.
name: Peters, I.M.
name: Hauch, J.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1512-1516
description: This study links chemical analysis of PV-module’s backsheet components with the monitored yield and voltage of PV. WE investigated several PV-systems all with two or more module types and differing backsheet types. We identified three classes of backsheets with respect to their influence on module performance. First, double-fluoropolymers are robust and modules perform constantly well over years. Second, non-fluoropolymers, show approximately linear performance and degradation and third, single-fluoropolymers show drastic performance losses, including inverter shutdowns. Humidity was identified as an important driving factor for the faster ageing process of modules with critical backsheets und isolation issues. A correlation between obvious backsheet defects, e. g. cracks or isolation issues and inverter shut-downs was not found.
Non-uniform force allocation for area preservation in spring network models
Creators: name: Cimrak, Ivan
name: Jancigova, Iveta
Publisher: name: arXiv
Year: 2016
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: In modelling of elastic objects in a flow such as red blood cells, white blood cells, or tumour cells, several elastic moduli are involved. One of them is the area conservation modulus. In this paper, we focus on spring network models and we introduce a new way of modeling the area preservation modulus. We take into account the current shape of the individual triangles and find the proportional allocation of area conservation forces, which would for individual triangles preserve their shapes. The analysis shows that this approach tends to regularize the triangulation. We demonstrate this effect on individual triangles as well as on the complete triangulations.
Experimental Study of the Behaviour of the Global MPP of Partially Shaded PV Strings
Creators: name: Lappalainen, K.
name: Valkealahti, S.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1501-1505
description: Under uniform operating conditions, a photovoltaic (PV) array has only one maximum power point (MPP) and successful MPP tracking is simple to implement. However, under non-uniform operating conditions, such as partial shading, multiple MPPs can exist on the characteristic of the PV array and the global MPP can vary over a wide voltage range. When multiple MPPs exist, conventional MPP tracking algorithms can be trapped to operate at a local MPP instead of the global one, and consequently the energy yield of the array can be considerably reduced. It is essential to know the operational MPP voltage range of the installed PV array in order to adjust the voltage range of the inverter properly. In this article, the behaviour of the global MPP of partially shaded PV strings is studied experimentally based on measured current–voltage curves of two strings consisting of 17 and 6 series-connected PV modules. The results of this study show that the voltage of the global MPP varies over a wide voltage range and changes in the voltage and power of the global MPP can be very fast. The largest measured changes in the GMPP voltage and power during one second were 60% and 32%, respectively.
Braided categories of endomorphisms as invariants for local quantum field theories
Creators: name: Giorgetti, Luca
name: Rehren, Karl-Henning
Publisher: name: arXiv
Year: 2015
Subjects: subject: Operator Algebras (math.OA)
subject: Mathematical Physics (math-ph)
subject: Category Theory (math.CT)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 81Txx, 46Lxx, 18D10

description: We want to establish the "braided action" (defined in the paper) of the DHR category on a universal environment algebra as a complete invariant for completely rational chiral conformal quantum field theories. The environment algebra can either be a single local algebra, or the quasilocal algebra, both of which are model-independent up to isomorphism. The DHR category as an abstract structure is captured by finitely many data (superselection sectors, fusion, and braiding), whereas its braided action encodes the full dynamical information that distinguishes models with isomorphic DHR categories. We show some geometric properties of the "duality pairing" between local algebras and the DHR category which are valid in general (completely rational) chiral CFTs. Under some additional assumptions whose status remains to be settled, the braided action of its DHR category completely classifies a (prime) CFT. The approach does not refer to the vacuum representation, or the knowledge of the vacuum state.
description: 52 pages
Empowering Privacy-Preserving Research: Introducing the vantage6 Framework and GUI
Creators: name: Smits, Djura
name: Baccinelli, Walter
Publisher: name: Zenodo
Year: 2024
Subjects: federated learning
privacy preserving analysis

description: Presentation on the vantage6 UI. This was done as part of a demo presented at the MIE conference 2024.

Answering questions in healthcare often requires combining data from different sources.However, bringing together this data raises serious privacy concerns. Moreover, centralizing the data in one place is often not legally possible due to privacy regulations.Techniques for federated analysis aim to enable researchers to do their analysis without giving them access to the raw data. It allows data-owners to stay in control while stillenabling researchers to perform their studies.vantage6[1][2] is an open-source framework for privacy preserving analysis createdby the Netherlands Comprehensive Cancer Organisation (IKNL).

Conceptually, vantage6 consists of the following parts:• A (central) server that coordinates communication with clients and nodes. Theserver is in charge of processing tasks as well as handling administrative functionssuch as authentication and authorization.• One or more node(s) that have access to data and execute algorithms• Users (i.e. researchers or other applications) that request computations from thenodes via the client• Organizations that are interested in collaborating. Each user belongs to one ofthese organizations.• A Docker registry that functions as a database of algorithmsvantage6 has already been used in various projects.
Fitting Procedure for PV Panel Measured Current-Voltage Characteristics
Creators: name: Kalliojärvi-Viljakainen, H.
name: Lappalainen, K.
name: Valkealahti, S.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1506-1511
description: Current-voltage curve measurements are a potential tool for efficient monitoring and diagnosis of photovoltaic (PV) panels and systems. To determine indicators of aging, degradation and other such phenomena of PV panels, an attractive option is to fit an electrical model of the PV panels to measured data in order to detect changes. However, raw measurement data usually contains measurement noise and other factors that can distort the analysis. The fitting process is challenging for instance, by the fact that the measurement points are unevenly distributed on the current-voltage curve, being mainly clustered on the open-circuit region. This unintentional weight can distort the fit. To address these issues, the present paper introduces a procedure for fitting an electrical model of the PV panels to the measured current-voltage curves so as to alleviate the above problems. The proposed approach is a prerequisite for a reliable diagnosis of the PV system status.
Evaluation of the PV Resource Dataset in Central and North America
Creators: name: Xie, Y.
name: Sengupta, M.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1491-1494
description: A recent effort from the National Renewable Energy Laboratory (NREL) has led to a new radiative transfer model, Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT), to efficiently compute plane-of-array (POA) irradiance. This model has been implemented by the National Solar Radiation Data Base (NSRDB) to provide photovoltaic (PV) resource over Central and North America in both narrowband and broadband wavelengths. This study conducts a comprehensive evaluation of the PV resource dataset using surface-based observations in various climate zones. The results demonstrate that the PV resource has an excellent agreement with the cloudy-sky observations from thermopiles and reference cells.
25-kW Grid-Tie Solar System for the Engineering S-Building at Vaal University of Technology in Vanderbijlpark, South Africa
Creators: name: Bekker, J.
name: Viljoen, M.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1495-1500
description: This paper presents design considerations and results for a grid-tied solar system installed at the electrical engineering building (S-Block) of the Vaal University of Technology in Vanderbijlpark, South Africa. Design considerations include the choice of inverter, solar panels as well as the arrangement and mounting of the solar panels. Results presented illustrate the effect of the solar system for different scenarios, compared to electricity usage from the grid before the installation of the solar system. These results are in the form of load readings taken on completely sunny and cloudy days as well as for summer vs winter conditions. The influence of the solar system and subsequent electricity savings are assessed, and found to be considerable, and completely economically viable.
Mapeamento das pesquisas sobre Ciência Aberta no Brasil: um estudo na Base de Dados em Ciência da Informação
Creators: name: Batista, Andreza Pereira
name: Maia, Francisca Clotilde de Andrade
Publisher: name: Zenodo
Year: 2022

description: Apresentação realizada na sessão Pecha Kucha IV da 13ª Conferência Lusófona de Ciência Aberta, formato híbrido, de 10 a 12 de outubro de 2022.
Searching for the HR 8799 Debris Disk with HST/STIS
Creators: name: Gerard, Benjamin L.
name: Lawler, Samantha M.
name: Marois, Christian
name: Tannock, Megan
name: Matthews, Brenda
name: Venn, Kim
Publisher: name: arXiv
Year: 2016
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We present a new algorithm for space telescope high contrast imaging of close-to-face-on planetary disks called Optimized Spatially Filtered (OSFi) normalization. This algorithm is used on HR 8799 Hubble Space Telescope (HST) coronagraphic archival data, showing an over-luminosity after reference star point spread function (PSF) subtraction that may be from the inner disk and/or planetesimal belt components of this system. The PSF-subtracted radial profiles in two separate epochs from 2011 and 2012 are consistent with one another, and self-subtraction shows no residual in both epochs. We explore a number of possible false-positive scenarios that could explain this residual flux, including telescope breathing, spectral differences between HR 8799 and the reference star, imaging of the known warm inner disk component, OSFi algorithm throughput and consistency with the standard spider normalization HST PSF subtraction technique, and coronagraph misalignment from pointing accuracy. In comparison to another similar STIS dataset, we find that the over-luminosity is likely a result of telescope breathing and spectral difference between HR 8799 and the reference star. Thus, assuming a non-detection, we derive upper limits on the HR 8799 dust belt mass in small grains. In this scenario, we find that the flux of these micron-sized dust grains leaving the system due to radiation pressure is small enough to be consistent with measurements of other debris disk halos.
Towards Optimising the Albedo Measurement
Creators: name: Suarez, S.
name: Fernandez, I.
name: Morgado, D.
name: Navas, G.A.
name: Rivas, J.M.
name: Pérez Abreu, L.E.
name: Alvarez, F.
name: Andrés, A.
name: Silva, H.
name: Rodríguez-Conde, S.
Publisher: name: WIP
Year: 2020
Subjects: PV Systems and Storage – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 37th European Photovoltaic Solar Energy Conference and Exhibition; 1481-1484
description: Albedo estimation can be affected by several factors such as the discrepancy between terrestrial measurements and satellite data, the sensors type and even their distance to the ground. In this paper we report about long-term results found comparing two different albedometer experimental set-ups under similar ground conditions, using cells and pyranometer devices and varying the height. The albedo values obtained by both experimental configurations are strongly correlated for the 1.5 m case. However, the system made up of cells located at a height of 0.5 m has shown highly dispersed values due to effects that will be analyzed in future experiments. In addition, the global horizontal irradiance (GHI) and both on-site and satellite albedo mean values are compared using one-way analysis of variance (ANOVA). Finally, the statistical differences between both the in situ and satellite albedo mean values for some sites are reported.
Bayesian Nonparametric System Reliability using Sets of Priors
Creators: name: Walter, Gero
name: Aslett, Louis J. M.
name: Coolen, Frank P. A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: An imprecise Bayesian nonparametric approach to system reliability with multiple types of components is developed. This allows modelling partial or imperfect prior knowledge on component failure distributions in a flexible way through bounds on the functioning probability. Given component level test data these bounds are propagated to bounds on the posterior predictive distribution for the functioning probability of a new system containing components exchangeable with those used in testing. The method further enables identification of prior-data conflict at the system level based on component level test data. New results on first-order stochastic dominance for the Beta-Binomial distribution make the technique computationally tractable. Our methodological contributions can be immediately used in applications by reliability practitioners as we provide easy to use software tools.