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Geothermal Energy Utilization and Technologies 2020
| Geothermal Energy Utilization and Technologies 2020 |
| Autore | Roselli Carlo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (350 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
2D model
abandoned oil reservoirs air conditioning assessment borehole heat exchanger carbonate geothermal reservoirs centrifugal pump CFD CO2 cyclic dual-loop ORC dynamic simulation earth-to-air economic analysis energy district energy efficiency energy saving entransy loss entropy generation evacuated solar thermal collectors exergy loss fouling resistance geothermal geothermal energy geothermal energy community geothermal power production geothermal resource granite Ground source heat pump groundwater heat pump heat transport heating and cooling network historic building horizontal pipe household hybrid system hybrid renewable polygeneration plant in situ combustion LCOH micro organic Rankine cycle mixture working fluids mobile thermal energy storage (M-TES) Monte Carlo simulation North Jiangsu Basin numerical simulation ORC Organic Rankine Cycle organic Rankine cycle (ORC) oval cross-section parametric study phase change material (PCM) photovoltaic panels physical characteristics plastic heat exchanger plunger pump polygeneration system pressure drop R1234ze renewable energy renewable energy source renewable energy sources Sandtank shell and tube heat exchanger southern Italy sustainable geothermal energy exploitation system generating efficiency temperature utilization rate thermal performances thermal reservoir thermal treatment TRNSYS software water cooling |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557719303321 |
Roselli Carlo
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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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Machine Learning for Energy Systems
| Machine Learning for Energy Systems |
| Autore | Sidorov Denis N |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
abnormal defects
Adaptive Neuro-Fuzzy Inference System artificial intelligence blockchain blockchain technology cast-resin transformers classification classification and regression trees clustering component accident set cyber-physical systems data evolution mechanism decision tree energy internet energy management system energy router energy storage energy systems ensemble empirical mode decomposition extreme learning machine fatigue forecasting harmonic impedance harmonic impedance identification harmonic parameter harmonic responsibility hierarchical clustering high permeability renewable energy hybrid AC/DC power system hybrid interval forecasting industrial mathematics information security insulator fault forecast integrated energy system intelligent control Interfacial tension inverse problems linear regression model linearization load leveling machine learning maintenance monitoring data without phase angle MOPSO algorithm offshore wind farm optimization parameter estimation partial discharge pattern recognition photovoltaic output power forecasting power control power quality QoS index of energy flow relevance vector machine renewable energy source risk assessment rule extraction sample entropy scheduling optimization smart microgrid stochastic optimization time series forecasting traction network transformer oil parameters vacuum tank degasser Volterra equations Volterra models vulnerability wavelet packets wind power: wind speed: T-S fuzzy model: forecasting wind turbine |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557678803321 |
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Sidorov Denis N
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Microbial Fuel Cells 2018 / Jung Rae Kim
| Microbial Fuel Cells 2018 / Jung Rae Kim |
| Autore | Kim Jung Rae |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (84 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
biogenic conversion
power density treatment efficiency microbial fuel cell (MFC) flow rate hydrogen production bioelectrochemical system C1 gas acetate bioelectrochemical reactor TiO2 nanotube environmental engineering lignite dye decolorization electrodialysis Ni–Co alloy dilution rate substrate supply rate carbon monoxide inhibition microbial fuel cell acetosyringone anodic volume microbial electrolysis cell syringaldehyde laccase methane anode distance coal power generation yeast wastewater cathode renewable energy source natural redox mediators |
| ISBN |
9783039215348
3039215345 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674385303321 |
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Kim Jung Rae
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Microgrids
| Microgrids |
| Autore | Guerrero Josep M |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (108 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
active filter
battery storage buck-boost converter chaos synchronization detection combined power generation system communication delay congestion problems coordinated control coordinated control strategy coordinative optimization of energy cost and life current harmonic reduction curtailment datacenter DC architectures DC distribution DC microgrid decision tree demand-side management deterministic optimization devices scheduling direct search method (DSM) distributed energy resource distributed energy resources distributed energy resources (DERs) distributed generation distributed generation (DG) distributed optimization doubly fed induction machine droop control electric energy market electric vehicle electric vehicle (EV) embedded system energy efficiency energy management system energy storage ESS effective rate extension theory flexibility flexible and configurable architecture flexible generation flywheel energy storage (FES) frequency control generic object oriented substation event (GOOSE) communication genetic algorithm grid independence grounding HESS hierarchical control scheme IEC 61850 IEC 61850 Standard inrush current integrated electrical and thermal grids isolated grid load frequency control (LFC) load power sharing maximum electrical efficiency medium-voltage networks mesh configuration micro-grid microgrid microgrid (MG) microgrid stability controller (MSC) microgrid test facility microgrids multi-agent multiresolution multivariable generalized predictive control (MGPC) network planning nonlinear programming operation optimal capacity optimal dispatch optimal power flow optimization particle swarm optimization peak-cut peak-shift photovoltaic feasibility plug and play power distribution power quality power quality disturbances predictive control radial configuration regular EV reliability reliability evaluation renewable renewable energy source renewable sources residential power systems residential users ruleless EV S-transform small-scale standalone microgrid smart grid smart grids smart inverter smoothing wind power solid oxide fuel cell stochastic optimization storage systems technical and economic optimization telecommunication power management total sliding-mode control vehicle information system vehicle-to-grid vehicle-to-grid (V2G) |
| ISBN | 3-03921-869-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372785803321 |
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Guerrero Josep M
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Power Electronics Applications in Renewable Energy Systems
| Power Electronics Applications in Renewable Energy Systems |
| Autore | Jang Gilsoo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
AC-DC matrix converter
battery energy storage system battery energy storage system (BESS) bi-directional converter CAES calculation load combined cooling heating and power computation efficiency control strategy converter for multi-MW wind generator crowd funding DC power flow DC protection DC ripple reduction DC system dynamics deadbeat control DFIG diesel generator discrete space vector modulation distribution generation economic analysis energy operation plan ESS application fault restoration floquet multiplier grid connected system guide vane outlet flow angle hierarchical control hybrid filter hybrid generation system inrush current control isolated microgrid iterative methods low-cost hybrid converter microgeneration microgrid protection model predictive control modular multilevel converter offshore wind energy converter applications optimization parallel configuration of converters phase-locked loop (PLL) photovoltaic poincaré map power systems preliminary design PV diagnosis radial turbine renewable energy renewable energy source rotor loss short-term load forecasting solar energy solid-state circuit breaker SSCB state-of-charge (SOC) equalization synchronization T-type inverter temporary fault ride-through three-level system time series data two-stage forecasting model virtual space vector voltage control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674051303321 |
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Jang Gilsoo
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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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Power System Simulation, Control and Optimization
| Power System Simulation, Control and Optimization |
| Autore | Domínguez-Navarro José Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (242 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
adaptive algorithm
aggregation ampacity ancillary services ANFIS automatic generation control (AGC) chance-constrained optimization cooling system cosimulation method data mining digital elevation model distributed energy resources distributed generation distribution system dynamic deadband dynamic programming economy electric safety energy management system (EMS) fan flexible AC transmission systems flexible loads frequency control generation scheduling Gini coefficient GIS governor response high performance computing (HPC) impartial and open dispatching induction motor interior point method interpolation LU decomposition market clearing metal-air battery mixed integer quadratic programming multi-objective multistrand cable lines OLTC optimization overcurrent protection parallel computation parallelism power distribution network power flow computation power system dynamic performance power system operation power systems probability of contingency receding horizon control renewable energy source safety checking security-constrained optimal power flow sensitivity analysis skin and proximity effects solar radiation modeling state variables stochastic unit commitment subhourly modeling symmetry tabu search transformer controller uninterruptible power supply voltage collapse voltage control voltage regulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557372803321 |
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Domínguez-Navarro José Antonio
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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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