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Fuel Cell Renewable Hybrid Power Systems
| Fuel Cell Renewable Hybrid Power Systems |
| Autore | Bizon Nicu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
fuel cell powered vehicle
medium- and heavy-duty trucks component sizing ownership cost optimization hybrid power systems renewable energy sources fuel cell systems required-power-following control fuel economy permanent magnet synchronous generator fault ride-through interval type-2 fuzzy logic system wind energy conversion proton exchange membrane fuel cell hydrogen economy fueling flows control global extremum seeking load following matlab simulink real-time capability dynamic fuel cell model electricity distribution networks optimal capacitor allocation Genetic Algorithm Particle Swarm Optimization Bat Algorithm Whale Algorithm Sperm-Whale Algorithm alternative energy energy efficiency fuel cell hydrogen energy stationary application electrical vehicle AC charging station in mode 3 PLC steam methane reforming steam methanol reforming electrical efficiency exergy efficiency LNG Stirling engine solar concentrator automation system human–machine interface sensors direct methanol fuel cell multi stacks portable power energy management system Internet of Things long-term in-field test |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557599403321 |
Bizon Nicu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Future Advances in Basin Modeling : Suggestions from Current Observations, Analyses, and Simulations
| Future Advances in Basin Modeling : Suggestions from Current Observations, Analyses, and Simulations |
| Autore | Fjeldskaar Willy |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (366 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
normal faulting
sill intrusions transient thermal effects steady state basin modeling volcanic basins salt thermal modeling source rock maturation petroleum system salt structures modeling principles geohistory evolution temperature effects conductivity effects on maturation multiscale/multiphysics basin modeling thermo-hydro-mechanical model isostatic adjustment computer simulations finite element method basin modelling hydro-mechanical coupling passive margins rock failure Glaciations isostasy flexural stress faults hydrocarbon migration magmatic intrusions diagenesis stress porosity permeability stress modeling fracture seismic fracture connectivity fracture mapping passive seismic sedimentary basins fluid flow capillary seals chemical alteration resources chalk compaction water weakening rock-fluid interaction modelling crustal well-core poroperm crustal fluid flow crustal flow channeling critical state physics well-log spectral scaling crustal power law scaling lognormal pink noise crustal fracture seismics crustal fracture imaging hydrogen economy natural hydrogen vents Sao Francisco Basin pulsing gas emission atmospheric pressure tides native hydrogen H2 exploration gas seeps H2 venting radiolysis serpentinization draining faults intra-cratonic basin diurnal hydrogen gas venting earth tides crustal sills hydrocarbon and mineral resources direct inversion method of fault slip analysis paleo tectonic principal stress orientations west-central New Hampshire |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Future Advances in Basin Modeling |
| Record Nr. | UNINA-9910674033803321 |
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Fjeldskaar Willy
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Future Smart Grid Systems
| Future Smart Grid Systems |
| Autore | Short Michael |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (241 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
industry 4.0
digitalization demand response HVAC control dynamic programming nonlinear optimization energy storage regulatory barriers storage policy market regulations SWOT analysis deep neural networks short-term load forecasting renewable energy sustainability island communities demand flexibility energy management optimization hydrogen economy cost analysis life cycle costing methane reforming water electrolysis centralised hydrogen production smart grids (intelligent networks) phasor machine learning binary logistic regression wireless network Sensors decentralized community energy management lithium-ion battery capacity prediction state of health estimation time–frequency image analysis continuous wavelet transform (CWT) two-stage optimization risk-based hybrid demand response uncertainties conditional value at risk improved multi-layer artificial bee colony algorithm interconnected power system cybersecurity FPID controller automatic intrusion mitigation unit Virtual Oscillator Control parameter tuning voltage-mode inverter microgrid |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557604803321 |
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Short Michael
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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