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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 electronic resource (350 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
geothermal power production
abandoned oil reservoirs in situ combustion organic Rankine cycle (ORC) plunger pump centrifugal pump pressure drop temperature utilization rate system generating efficiency carbonate geothermal reservoirs sustainable geothermal energy exploitation southern Italy numerical simulation dual-loop ORC mixture working fluids entropy generation entransy loss exergy loss Ground source heat pump oval cross-section groundwater borehole heat exchanger CFD Sandtank granite physical characteristics cyclic thermal treatment water cooling hybrid renewable polygeneration plant micro organic Rankine cycle evacuated solar thermal collectors photovoltaic panels plastic heat exchanger Organic Rankine Cycle geothermal energy shell and tube heat exchanger fouling resistance mobile thermal energy storage (M-TES) phase change material (PCM) LCOH heat transport renewable energy source household hybrid system dynamic simulation economic analysis TRNSYS software heating and cooling network polygeneration system geothermal energy community ORC energy district heat pump R1234ze CO2 geothermal renewable energy historic building energy saving earth-to-air horizontal pipe 2D model air conditioning renewable energy sources thermal performances energy efficiency parametric study geothermal resource Monte Carlo simulation assessment thermal reservoir North Jiangsu Basin |
| 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 electronic resource (272 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
vacuum tank degasser
rule extraction extreme learning machine classification and regression trees wind power: wind speed: T–S fuzzy model: forecasting linearization machine learning photovoltaic output power forecasting hybrid interval forecasting relevance vector machine sample entropy ensemble empirical mode decomposition high permeability renewable energy blockchain technology energy router QoS index of energy flow MOPSO algorithm scheduling optimization Adaptive Neuro-Fuzzy Inference System insulator fault forecast wavelet packets time series forecasting power quality harmonic parameter harmonic responsibility monitoring data without phase angle parameter estimation blockchain energy internet information security forecasting clustering energy systems classification integrated energy system risk assessment component accident set vulnerability hybrid AC/DC power system stochastic optimization renewable energy source Volterra models wind turbine maintenance fatigue power control offshore wind farm Interfacial tension transformer oil parameters harmonic impedance traction network harmonic impedance identification linear regression model data evolution mechanism cast-resin transformers abnormal defects partial discharge pattern recognition hierarchical clustering decision tree industrial mathematics inverse problems intelligent control artificial intelligence energy management system smart microgrid optimization Volterra equations energy storage load leveling cyber-physical systems |
| 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
| Microbial Fuel Cells 2018 |
| Autore | Kim Jung Rae |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (84 p.) |
| 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 | 3-03921-534-5 |
| 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 electronic resource (108 p.) |
| Soggetto non controllato |
energy management system
buck-boost converter generic object oriented substation event (GOOSE) communication stochastic optimization optimal dispatch decision tree coordinated control optimization congestion problems distributed optimization IEC 61850 Standard distributed energy resources (DERs) technical and economic optimization reliability evaluation power quality disturbances renewable DC microgrid HESS ruleless EV extension theory network planning integrated electrical and thermal grids reliability photovoltaic feasibility flexibility microgrid test facility microgrid multiresolution small-scale standalone microgrid IEC 61850 direct search method (DSM) maximum electrical efficiency load frequency control (LFC) droop control flexible generation grid independence frequency control particle swarm optimization battery storage microgrid stability controller (MSC) doubly fed induction machine coordinative optimization of energy power distribution hierarchical control scheme grounding operation electric energy market nonlinear programming cost and life total sliding-mode control distributed energy resource vehicle information system peak-cut smoothing wind power genetic algorithm medium-voltage networks vehicle-to-grid devices scheduling microgrids energy storage electric vehicle energy efficiency active filter embedded system multivariable generalized predictive control (MGPC) load power sharing flywheel energy storage (FES) renewable sources telecommunication power management micro-grid smart inverter distributed generation storage systems electric vehicle (EV) microgrid (MG) mesh configuration residential users renewable energy source radial configuration S-transform optimal power flow solid oxide fuel cell vehicle-to-grid (V2G) communication delay current harmonic reduction smart grids inrush current flexible and configurable architecture optimal capacity ESS effective rate smart grid multi-agent distributed energy resources regular EV peak-shift datacenter deterministic optimization plug and play chaos synchronization detection residential power systems power quality combined power generation system DC distribution isolated grid coordinated control strategy DC architectures predictive control demand-side management distributed generation (DG) curtailment |
| 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 electronic resource (258 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
isolated microgrid
renewable energy source diesel generator battery energy storage system hierarchical control power systems floquet multiplier poincaré map time series data DFIG renewable energy battery energy storage system (BESS) control strategy modular multilevel converter state-of-charge (SOC) equalization preliminary design optimization rotor loss guide vane outlet flow angle radial turbine CAES deadbeat control discrete space vector modulation computation efficiency model predictive control grid connected system three-level system T-type inverter PV diagnosis ESS application DC power flow DC system dynamics hybrid generation system phase-locked loop (PLL) synchronization hybrid filter low-cost hybrid converter bi-directional converter parallel configuration of converters converter for multi-MW wind generator offshore wind energy converter applications AC-DC matrix converter virtual space vector DC ripple reduction microgeneration solar energy photovoltaic crowd funding solid-state circuit breaker microgrid protection DC protection SSCB short-term load forecasting two-stage forecasting model combined cooling heating and power energy operation plan economic analysis calculation load iterative methods fault restoration distribution generation temporary fault ride-through voltage control inrush current 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 electronic resource (242 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
subhourly modeling
stochastic unit commitment cosimulation method sensitivity analysis power system dynamic performance cooling system dynamic programming metal-air battery receding horizon control state variables uninterruptible power supply power flow computation high performance computing (HPC) parallelism parallel computation LU decomposition security-constrained optimal power flow chance-constrained optimization probability of contingency renewable energy source flexible AC transmission systems tabu search multi-objective power systems impartial and open dispatching economy Gini coefficient generation scheduling mixed integer quadratic programming flexible loads market clearing safety checking interior point method electric safety induction motor fan overcurrent protection aggregation ancillary services distributed energy resources optimization power system operation automatic generation control (AGC) frequency control dynamic deadband energy management system (EMS) governor response voltage collapse voltage control transformer controller adaptive algorithm voltage regulation distribution system power distribution network distributed generation OLTC solar radiation modeling GIS interpolation digital elevation model data mining ANFIS multistrand cable lines ampacity skin and proximity effects symmetry |
| 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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