Fachbereich Ingenieurwissenschaften und Kommunikation
Refine
H-BRS Bibliography
- yes (197)
Departments, institutes and facilities
- Fachbereich Ingenieurwissenschaften und Kommunikation (197)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (100)
- Fachbereich Informatik (13)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (13)
- Institute of Visual Computing (IVC) (9)
- Institut für funktionale Gen-Analytik (IFGA) (4)
- Fachbereich Angewandte Naturwissenschaften (3)
- Institut für Medienentwicklung und -analyse (IMEA) (3)
- Verwaltung (3)
- Fachbereich Wirtschaftswissenschaften (2)
Document Type
- Article (197) (remove)
Year of publication
Keywords
- ISM: molecules (6)
- West Africa (4)
- Hydrogen storage (3)
- Lattice Boltzmann Method (3)
- Optimization (3)
- error analysis (3)
- magnetic resonance spectrometers auxiliary equipment (3)
- polyethylene (3)
- pulsars: general (3)
- radiowave spectrometers (3)
- stars: formation (3)
- submillimeter wave microwave (3)
- techniques (3)
- Exchangeable pairs (2)
- Extrusion blow molding (2)
- Force field (2)
- Galaxy: centre (2)
- Global horizontal irradiance (2)
- ISM: kinematics (2)
- Molecular dynamics (2)
- Molecular simulation (2)
- Radio-frequency (2)
- Semi-Lagrangian (2)
- Stein’s method (2)
- Topological reduction (2)
- accelerometer (2)
- bolometers (2)
- crystallization (2)
- double pulse test (2)
- dynamics (2)
- energy meteorology (2)
- instrumentation: spectrographs (2)
- ionic liquids (2)
- local chain orientation (2)
- measurement errors (2)
- mesoscale coarse-graining (2)
- microwave spectra (2)
- modeling of complex systems (2)
- power semiconductors (2)
- quantum cascade lasers (2)
- quantum mechanics (2)
- radio lines: ISM (2)
- relaxation (2)
- sensor phenomena and characterization (2)
- shrinkage (2)
- stars: magnetars (2)
- techniques: spectroscopic (2)
- terahertz spectroscopy (2)
- wide band gap (2)
- 3D printing (1)
- ACPYPE (1)
- AMBER (1)
- ANN controller (1)
- AR (1)
- Access regulation (1)
- Actuator and Sensor Systems (1)
- Adams-Moulton (1)
- Aircraft (1)
- Alkane (1)
- Antibiotics resistance (1)
- Applied sciences (1)
- Approximated Jacobian (1)
- Artificial bulk viscosity (1)
- Atmosphere flow (1)
- Automation (1)
- Automotive (1)
- Automotive Systems (1)
- B-splines (1)
- BDF (1)
- Bachelor-Studiengang (1)
- Basis set (1)
- Bayesian optimization (1)
- Behälterbau (1)
- Bewertungsproblem (1)
- Bildungsmanagement (1)
- Blue light (1)
- Blume–Capel model (1)
- Blume–Emery–Griffith model (1)
- Bond graph models (1)
- CAE metadata structures (1)
- CPACS (1)
- Capacity (1)
- Carbohydrate (1)
- Change-Prozess (1)
- Chaotic Transceiver (1)
- Citizen Journalism (1)
- Compressible (1)
- Compressible flows (1)
- Compressor modeling (1)
- Computational chemistry (1)
- Computational fluid dynamics (1)
- Computational modeling (1)
- Contingency analysis (1)
- Critical temperature (1)
- Critique (1)
- Crystallinity (1)
- Cubature (1)
- Curie–Weiss–Potts models (1)
- Current measurement (1)
- DC electric drives (1)
- DC-cascade (1)
- Differential-algebraic equations (1)
- Draw ratio (1)
- Druckmessung (1)
- Drucksensor (1)
- Educational methods (1)
- Efficiency (1)
- Effiziente Transportalternativen (1)
- Electric mobility (1)
- Elektrofahrrad (1)
- Elektromobilität (1)
- Energy Modeling (1)
- Evaluation (1)
- Evaluation als Kommunikationsanlass (1)
- Extrusionsblasformen (1)
- FM Modulation (1)
- FPGA (1)
- Finite-Elemente-Methode (1)
- First-order phase transition (1)
- Flow direction (1)
- Fluid Dynamics (1)
- Flux coefficient (1)
- Force field parameters (1)
- Forecasting (1)
- Forklifts (1)
- Fourier scatterometry (1)
- Führung (1)
- GERG gas law (1)
- GROW (1)
- Galaxy: center (1)
- Gas transport simulation (1)
- Gauss–Hermite quadrature (1)
- Genetic algorithm (1)
- Geometry (1)
- German students (1)
- Ghana (1)
- Ghanaian health sector (1)
- Glycam06 (1)
- Gordon surface (1)
- Gromacs (1)
- HEB mixer (1)
- HTS (1)
- High-performance computing (1)
- High-resolution displays (1)
- Hochschulentwicklung (1)
- Hochschulgesetz (1)
- Hochschulprofilierung (1)
- Hochspannungsleitung (1)
- Hydraulic components (1)
- Hydrocarbon (1)
- Hydrogen (1)
- Hyperalgesia (1)
- ISM: abundances (1)
- ISM: clouds (1)
- ISM: individual objects: IRAS 16293-2422 (1)
- ISM: individual objects: Orion KL (1)
- ISM: kinematics and dynamics (1)
- Identification and control methods (1)
- Index-1 DAEs (1)
- Informationssystem (1)
- Integrative simulation (1)
- Intervention (1)
- Journalismus (1)
- Julia package Differential Equations (1)
- KID (1)
- KMU (1)
- Kennzahlen (1)
- Kinetic inductance detector (1)
- Kinetic theory (1)
- Kraftfeldanalyse (1)
- LSTM (1)
- Lattice Boltzmann (1)
- Lattice Boltzmann method (1)
- Lattice-Boltzmann methods (1)
- Lehre (1)
- Leistungsberechnung (1)
- Leistungsfähigkeit (1)
- Lerntyp (1)
- Linear viscoelasticity (1)
- Lineare Viskoelastizität (1)
- Long-distance gas network (1)
- Low temperature detectors (1)
- MINT (1)
- MKID (1)
- MP2.5 (1)
- MRT-LBM (1)
- Machine Learning (1)
- Machine learning (1)
- Machine vision (1)
- Maschinenbau (1)
- Master-Studiengang (1)
- Maximal covering location problem (1)
- Mechatronik (1)
- Media Reporting (1)
- Membrane protein (1)
- Meso-scale simulation (1)
- Messergebnis (1)
- Metal hydride storage (1)
- Method of lines (1)
- Metrological applications (1)
- Mexican students (1)
- Mobilitätsforschung (1)
- Model exchange (1)
- Modeling (1)
- Modelling (1)
- Mold temperature (1)
- Molecular modeling (1)
- Molecular rotation (1)
- Molekulardynamik (1)
- Molekulare Simulation (1)
- Monte-Carlo simulation (1)
- Monte-Carlo-Simulation (1)
- Motion Control Systems (1)
- Multi-drug efflux (1)
- Multi-objective (1)
- Multi-stage (1)
- Multiphase flow (1)
- Navier-Stokes equation (1)
- Network simulation (1)
- Neural collision operator (1)
- Neuropathic pain (1)
- Non-zero external field (1)
- Nonbonded scaling factor (1)
- Normung (1)
- Numerical optimization (1)
- Numerical stability (1)
- OFDM-based DCSK (1)
- OFDM-based SR-QCSK (1)
- Object oriented modeling (1)
- Ocean flow (1)
- Off-lattice Boltzmann (1)
- On-Off Keying (1)
- Order conditions (1)
- Order reduction (1)
- Organic compounds and Functional groups (1)
- Orifices (1)
- Orthogonal chaotic vector shift keying (1)
- Orthotropic material behavior (1)
- Outer membrane channel (1)
- P3HT (1)
- PWM converters (1)
- Participatory Journalism (1)
- Peer methods (1)
- Power-to-gas (1)
- Process dependent material parameters (1)
- Projektmanagement (1)
- Prozessleittechnik (1)
- Prozessmanagement (1)
- Prozessmanagementsoftware (1)
- Prozessoptimierung (1)
- Prozessorganisation (1)
- Public Opinion (1)
- Quality diversity (1)
- Qualitätsmanagement (1)
- Qualitätspakt Lehre (1)
- Quantum mechanical methods (1)
- Rapid Prototyping (1)
- Reanalysis (1)
- Receivers (1)
- Regelung (1)
- Restlebensdauer (1)
- Risikomanagement (1)
- Rodas5 (1)
- Rohrleitung (1)
- Rosenbrock methods (1)
- Rosenbrock–Wanner methods (1)
- SARIMA (1)
- SOFIA (GREAT) (1)
- Sahel zone (1)
- Saint-Venant equations (1)
- Satellite (1)
- Schreibberatung (1)
- Schreibdidaktik (1)
- Schwindung (1)
- Second-order phase transition (1)
- Shallow-water equations (1)
- Shan-Chen model (1)
- Simulation (1)
- Simulations (1)
- Single-objective (1)
- Software (1)
- Solar energy (1)
- Spurious velocity (1)
- Statistical Physics (1)
- Storage modulus (1)
- Stratified flow (1)
- Studienreform (1)
- Studierendenzentrierung (1)
- THz astronomy (1)
- Taylor-Green (1)
- Taylor–Green vortex (1)
- Teaching Quality Pact (1)
- Technikakzeptanz (1)
- Thermodynamic data (1)
- Thermodynamische Stoffdaten (1)
- Treatment (1)
- Tricritical point (1)
- Turbulence (1)
- Unified modeling language (1)
- Unstructured grid (1)
- VR (1)
- Verzug (1)
- Visualization (1)
- Voltage measurement (1)
- Volterra-Wiener series (1)
- W methods (1)
- WENO schemes (1)
- WENO-schemes (1)
- WRF-Solar (1)
- Warnsystem (1)
- Wechselwirkung (1)
- advanced applications (1)
- advection-diffusion reaction equations (1)
- aerosol (1)
- airborne (1)
- amino acids (1)
- ansiedad matemática (1)
- ansiedade matemática (1)
- applications (1)
- astrochemistry (1)
- atmospheric aerosol (1)
- atomistic models (1)
- biaxial stretching (1)
- black holes (1)
- boxing (1)
- braking (1)
- change process (1)
- chemical reactions (1)
- circumstellar matter (1)
- classical dance (1)
- complete basis set limit (1)
- complexity analysis (1)
- computer vision (1)
- cryogen-free magnets (1)
- cryogenics (1)
- cultural differences (1)
- data management (1)
- demi-plié (1)
- derivative-free optimization (1)
- design process (1)
- detectors (1)
- diferencias culturales (1)
- diferenças culturais (1)
- differential-algebraic equations (1)
- digital manufacturing (1)
- digital university (1)
- driver assistance system (1)
- driver interface (1)
- education (1)
- electrical bicycle drive unit (1)
- embedded systems (1)
- endoscopy (1)
- energy awareness (1)
- energy efficiency (1)
- energy infrastructures (1)
- energy system analyses (1)
- energy system modeling (1)
- engineering for non-engineers (1)
- estudantes alemães (1)
- estudantes mexicanos (1)
- estudiantes alemanes (1)
- estudiantes mexicanos (1)
- evaluation as a mean to communication (1)
- evolution (1)
- extrusion blow molding (1)
- far-infrared astronomy (1)
- first position (1)
- flow simulation (1)
- force field parameterization (1)
- force fields (1)
- fuel (1)
- fuel cell (1)
- fully superconducting generator (1)
- gas transport networks (1)
- gas-to-power (1)
- globally convergent solvers (1)
- grating reconstruction (1)
- hand speed (1)
- heterodyne (1)
- high accuracy drives (1)
- high information rate (1)
- high resolution spectroscopy (1)
- high-temperature superconductors (1)
- hot carriers (1)
- hydrides (1)
- hydrocarbon (1)
- hydrogen (1)
- hydrogen economies (1)
- hydrogen infrastructures (1)
- impedance of battery (1)
- infrared submillimeter wave microwave (1)
- injection moulding (1)
- instrumentation: detectors (1)
- integrative Simulation (1)
- integrative simulation (1)
- interactions (1)
- interactive computer graphics (1)
- irradiance (1)
- jab (1)
- li-ion battery (1)
- lifelong learning (1)
- line: identification (1)
- line: profiles (1)
- lipid (1)
- load forecasting (1)
- long-wave infrared (1)
- low power (1)
- magnetic energy storage (1)
- magnetic hyperthermia (1)
- magnetic nanoparticles (1)
- mathematical chemistry (1)
- mathematics anxiety (1)
- measurement by laser beam (1)
- medium voltage insulation (1)
- method of lines (1)
- micromobility (1)
- mixed reality (1)
- modeling (1)
- modelling (1)
- models (1)
- molecular data (1)
- molecular dynamics (1)
- molecular processes (1)
- molecular simulations (1)
- mp2 (1)
- multi-body dynamic simulation (1)
- multi-solution optimization (1)
- multidimensional Z-transforms (1)
- multistep (1)
- neural network (1)
- neuromorphic processing (1)
- noise, vibration, and harshness (1)
- non-engineering students (1)
- nonlinear sampled-data systems (1)
- observational data and simulations (1)
- octane (1)
- online communication (1)
- ontology (1)
- optical frequency synthesizers for precision spectroscopy (1)
- organic compounds (1)
- orientation behavior (1)
- orthogonal frequency division multiplexing (1)
- orthotropes prozessabhängiges Materialverhalten (1)
- orthotropic process-dependent material behavior (1)
- pDPP-3T (1)
- pancreatic cancer (1)
- parameter and state estimation (1)
- patterning (1)
- peptides (1)
- performance analysis (1)
- permanent magnet synchronous generator (PMSG) (1)
- photothermal lithography (1)
- photovoltaic (1)
- planets and satellites: atmospheres (1)
- planets and satellites: detection (1)
- planets and satellites: individual: Mars (1)
- plastic manufacturing (1)
- power converter (1)
- power rectifier (1)
- power spectrum (1)
- pre-optimization (1)
- process simulation (1)
- propan-2-ol (1)
- proteins (1)
- pulsars: individual: J1946+3417 (1)
- pulsars: individual: J2004+3429 (1)
- pulsars: individual: SGR J1745-2900 (1)
- pulse width modulation (1)
- punch (1)
- racing (1)
- radiation mechanisms: non-thermal (1)
- radiowave receivers (1)
- replica (1)
- semantic technologies (1)
- semiconducting polymers (1)
- sewage systems (1)
- sewer systems (1)
- sewers (1)
- simulation (1)
- simulation process (1)
- smoothing procedures (1)
- solar power (1)
- sparse grids (1)
- spectral line broadening (1)
- spectrochemical analysis (1)
- splitting approach (1)
- stability (1)
- stars: individual: RXJ1856.5-3754 (1)
- stars: neutron (1)
- state of charge (1)
- structural dynamics (1)
- submillimeter-wave technology (1)
- submillimeter: ISM (1)
- submillimeter: general (1)
- superconducting devices (1)
- surveys (1)
- sway (1)
- synchronous generator (1)
- technological literacy (1)
- temperature control (1)
- temporal discretization (1)
- tensile test (1)
- terahertz wave spectra (1)
- therapy (1)
- thermal imaging (1)
- thermo-mechanical properties (1)
- time integration (1)
- traffic data (1)
- transformation (1)
- transmission phase gratings (1)
- trapezoidal rule (1)
- two-photon polymerization (1)
- uniaxial stretching (1)
- uninterruptible power supplies (1)
- urban planning (1)
- vehicle dynamics (1)
- velocity stabilising systems (1)
- warpage (1)
- water dimer (1)
- wind energy (1)
- wind energy conversion systems (WECS) (1)
- wind nuisance (1)
In this paper, the performance evaluation of Frequency Modulated Chaotic On-Off Keying (FM-COOK) in AWGN, Rayleigh and Rician fading channels is given. The simulation results show that an improvement in BER can be gained by incorporating the FM modulation with COOK for SNR values less than 10dB in AWGN case and less than 6dB for Rayleigh and Rician fading channels.
Trueness and precision of milled and 3D printed root-analogue implants: A comparative in vitro study
(2023)
Pipeline transport is an efficient method for transporting fluids in energy supply and other technical applications. While natural gas is the classical example, the transport of hydrogen is becoming more and more important; both are transmitted under high pressure in a gaseous state. Also relevant is the transport of carbon dioxide, captured in the places of formation, transferred under high pressure in a liquid or supercritical state and pumped into underground reservoirs for storage. The transport of other fluids is also required in technical applications. Meanwhile, the transport equations for different fluids are essentially the same, and the simulation can be performed using the same methods. In this paper, the effect of control elements such as compressors, regulators and flaptraps on the stability of fluid transport simulations is studied. It is shown that modeling of these elements can lead to instabilities, both in stationary and dynamic simulations. Special regularization methods were developed to overcome these problems. Their functionality also for dynamic simulations is demonstrated for a number of numerical experiments.
The general method of topological reduction for the network problems is presented on example of gas transport networks. The method is based on a contraction of series, parallel and tree-like subgraphs for the element equations of quadratic, power law and general monotone dependencies. The method allows to reduce significantly the complexity of the graph and to accelerate the solution procedure for stationary network problems. The method has been tested on a large set of realistic network scenarios. Possible extensions of the method have been described, including triangulated element equations, continuation of the equations at infinity, providing uniqueness of solution, a choice of Newtonian stabilizer for nearly degenerated systems. The method is applicable for various sectors in the field of energetics, including gas networks, water networks, electric networks, as well as for coupling of different sectors.
The temperature of photovoltaic modules is modelled as a dynamic function of ambient temperature, shortwave and longwave irradiance and wind speed, in order to allow for a more accurate characterisation of their efficiency. A simple dynamic thermal model is developed by extending an existing parametric steady-state model using an exponential smoothing kernel to include the effect of the heat capacity of the system. The four parameters of the model are fitted to measured data from three photovoltaic systems in the Allgäu region in Germany using non-linear optimisation. The dynamic model reduces the root-mean-square error between measured and modelled module temperature to 1.58 K on average, compared to 3.03 K for the steady-state model, whereas the maximum instantaneous error is reduced from 20.02 to 6.58 K.
Solar photovoltaic power output is modulated by atmospheric aerosols and clouds and thus contains valuable information on the optical properties of the atmosphere. As a ground-based data source with high spatiotemporal resolution it has great potential to complement other ground-based solar irradiance measurements as well as those of weather models and satellites, thus leading to an improved characterisation of global horizontal irradiance. In this work several algorithms are presented that can retrieve global tilted and horizontal irradiance and atmospheric optical properties from solar photovoltaic data and/or pyranometer measurements. The method is tested on data from two measurement campaigns that took place in the Allgäu region in Germany in autumn 2018 and summer 2019, and the results are compared with local pyranometer measurements as well as satellite and weather model data. Using power data measured at 1 Hz and averaged to 1 min resolution along with a non-linear photovoltaic module temperature model, global horizontal irradiance is extracted with a mean bias error compared to concurrent pyranometer measurements of 5.79 W m−2 (7.35 W m−2) under clear (cloudy) skies, averaged over the two campaigns, whereas for the retrieval using coarser 15 min power data with a linear temperature model the mean bias error is 5.88 and 41.87 W m−2 under clear and cloudy skies, respectively.
During completely overcast periods the cloud optical depth is extracted from photovoltaic power using a lookup table method based on a 1D radiative transfer simulation, and the results are compared to both satellite retrievals and data from the Consortium for Small-scale Modelling (COSMO) weather model. Potential applications of this approach for extracting cloud optical properties are discussed, as well as certain limitations, such as the representation of 3D radiative effects that occur under broken-cloud conditions. In principle this method could provide an unprecedented amount of ground-based data on both irradiance and optical properties of the atmosphere, as long as the required photovoltaic power data are available and properly pre-screened to remove unwanted artefacts in the signal. Possible solutions to this problem are discussed in the context of future work.
Salts and proteins comprise two of the basic molecular components of biological materials. Kosmotropic/chaotropic co-solvation and matching ion water affinities explain basic ionic effects on protein aggregation observed in simple solutions. However, it is unclear how these theories apply to proteins in complex biological environments and what the underlying ionic binding patterns are. Using the positive ion Ca2+ and the negatively charged membrane protein SNAP25, we studied ion effects on protein oligomerization in solution, in native membranes and in molecular dynamics (MD) simulations. We find that concentration-dependent ion-induced protein oligomerization is a fundamental chemico-physical principle applying not only to soluble but also to membrane-anchored proteins in their native environment. Oligomerization is driven by the interaction of Ca2+ ions with the carboxylate groups of aspartate and glutamate. From low up to middle concentrations, salt bridges between Ca2+ ions and two or more protein residues lead to increasingly larger oligomers, while at high concentrations oligomers disperse due to overcharging effects. The insights provide a conceptual framework at the interface of physics, chemistry and biology to explain binding of ions to charged protein surfaces on an atomistic scale, as occurring during protein solubilisation, aggregation and oligomerization both in simple solutions and membrane systems.
Die Norm EN ISO 13849-1 stellt explizite Anforderungen an sicherheitsgerichtete SPS-Software. Wie lassen sich diese im Maschinenbau praxisgerecht umsetzen? Mit dieser Frage hat sich ein von der DGUV gefördertes und an der Hochschule Bonn-Rhein-Sieg durchgeführtes Projekt beschäftigt. Der Beitrag skizziert die Vorgehensweise zur möglichen Umsetzung der normativen Anforderungen. Diese Vorgehensweise ist unabhängig von der verwendeten Sicherheits-SPS und daher allgemein anwendbar. Es wird auf insgesamt 10 dokumentierte Beispiele und einen ausführlichen Forschungsbericht verwiesen, die downloadbar sind.
DeltaV Neural ist eine Softwareapplikation innerhalb des Prozessautomatisierungssystems DeltaV, die es dem Anwender ermöglicht, auf einfache Art und Weise Softsensoren zu konfigurieren. Softsensoren besitzen die Aufgabe, schwer messbare oder nur in großen Zeitabständen ermittelbare Prozessausgangsgrößen mittels einfacher und schneller messbarer Ersatzmessgrößen zu schätzen bzw. vorherzusagen.
Dem RTPM (Real-Time Performance Monitoring) wurde in den letzten Jahren in der Automatisierungstechnik immer mehr Beachtung geschenkt. Drei ausgewählte Aspekte des RPTM werden behandelt: Alarmanalyse, Reglerperformance und Stelleinrichtungen. Die Reduktion von Alarmmeldungen mit Hilfe einer Alarmanalyse wird mit Hilfe von Beispielen aus der Industrie veranschaulicht. Ziel einer Analyse ist die Identifikation von (1) falschen Alarmgrenzen, (2) Reglern, bei denen Störungen im Handbetrieb ausgeregelt werden, (3) Reglern, bei denen Betriebspunktänderungen im Handbetrieb ausgeführt werden, (4) Reglern mit Stellgrößen bei 0% oder 100%, (5) falschen Reglerparametern sowie (6) Fehlern in der Messtechnik, Antrieben, Klappen oder Ventilen. Die industrielle Anwendung der Überwachung der Reglerperformance wird anhand des in das Prozessautomatisierungssystem DeltaV von Emerson Process Management integrierten Softwareproduktes DeltaV Inspect erläutert. DeltaV überwacht und bewertet (1) die Bereichsüberschreitungen der Regelgrößen und der Stellsignale, (2) die Betriebsarten (Hand oder Automatik) und (3) die Regelungsgüte. Die Regelungsgüte wird bei einem konstanten Sollwert und stochastischen Störungen aus dem Unterschied zwischen der tatsächlichen und der theoretisch erreichbaren Varianz des Regelfehlers berechnet. Anstelle einer Korrelations- bzw. Regressionsanalyse wird die theoretisch erreichbare minimale Varianz aus der aktuellen Varianz des Regelfehlers und der Varianz der Abweichung der aufeinander folgenden Regelfehlerabtastwerte berechnet.
Herein we report an update to ACPYPE, a Python3 tool that now properly converts AMBER to GROMACS topologies for force fields that utilize nondefault and nonuniform 1–4 electrostatic and nonbonded scaling factors or negative dihedral force constants. Prior to this work, ACPYPE only converted AMBER topologies that used uniform, default 1–4 scaling factors and positive dihedral force constants. We demonstrate that the updated ACPYPE accurately transfers the GLYCAM06 force field from AMBER to GROMACS topology files, which employs non-uniform 1–4 scaling factors as well as negative dihedral force constants. Validation was performed using β-d-GlcNAc through gas-phase analysis of dihedral energy curves and probability density functions. The updated ACPYPE retains all of its original functionality, but now allows the simulation of complex glycomolecular systems in GROMACS using AMBER-originated force fields. ACPYPE is available for download at https://github.com/alanwilter/acpype.
Ein Projektvertrag bietet den Geschäftspartnern rechtliche Sicherheit. Häufig wird er von Anwälten aufgesetzt. Insbesondere in kleinen und mittelständischen Unternehmen ist es aber auch oft der Projektleiter, der den Vertrag formuliert. Prof. Dr. Uwe Braehmer erklärt, unter welchen Bedingungen man einen Vertrag ohne juristische Beratung erstellen kann und liefert eine Checkliste mit den Regelungen, die ein Vertrag enthalten sollte.
Fallstrick Arbeitsrecht
(2005)
Ghana suffers from frequent power outages, which can be compensated by off-grid energy solutions. Photovoltaic-hybrid systems become more and more important for rural electrification due to their potential to offer a clean and cost-effective energy supply. However, uncertainties related to the prediction of electrical loads and solar irradiance result in inefficient system control and can lead to an unstable electricity supply, which is vital for the high reliability required for applications within the health sector. Model predictive control (MPC) algorithms present a viable option to tackle those uncertainties compared to rule-based methods, but strongly rely on the quality of the forecasts. This study tests and evaluates (a) a seasonal autoregressive integrated moving average (SARIMA) algorithm, (b) an incremental linear regression (ILR) algorithm, (c) a long short-term memory (LSTM) model, and (d) a customized statistical approach for electrical load forecasting on real load data of a Ghanaian health facility, considering initially limited knowledge of load and pattern changes through the implementation of incremental learning. The correlation of the electrical load with exogenous variables was determined to map out possible enhancements within the algorithms. Results show that all algorithms show high accuracies with a median normalized root mean square error (nRMSE) <0.1 and differing robustness towards load-shifting events, gradients, and noise. While the SARIMA algorithm and the linear regression model show extreme error outliers of nRMSE >1, methods via the LSTM model and the customized statistical approaches perform better with a median nRMSE of 0.061 and stable error distribution with a maximum nRMSE of <0.255. The conclusion of this study is a favoring towards the LSTM model and the statistical approach, with regard to MPC applications within photovoltaic-hybrid system solutions in the Ghanaian health sector.
This work proposes a novel approach for probabilistic end-to-end all-sky imager-based nowcasting with horizons of up to 30 min using an ImageNet pre-trained deep neural network. The method involves a two-stage approach. First, a backbone model is trained to estimate the irradiance from all-sky imager (ASI) images. The model is then extended and retrained on image and parameter sequences for forecasting. An open access data set is used for training and evaluation. We investigated the impact of simultaneously considering global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI) on training time and forecast performance as well as the effect of adding parameters describing the irradiance variability proposed in the literature. The backbone model estimates current GHI with an RMSE and MAE of 58.06 and 29.33 W m−2, respectively. When extended for forecasting, the model achieves an overall positive skill score reaching 18.6 % compared to a smart persistence forecast. Minor modifications to the deterministic backbone and forecasting models enables the architecture to output an asymmetrical probability distribution and reduces training time while leading to similar errors for the backbone models. Investigating the impact of variability parameters shows that they reduce training time but have no significant impact on the GHI forecasting performance for both deterministic and probabilistic forecasting while simultaneously forecasting GHI, DNI, and DHI reduces the forecast performance.