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Energy Systems Analysis and Modelling towards Decarbonisation
| Energy Systems Analysis and Modelling towards Decarbonisation |
| Autore | Fragkos Panagiotis |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
abatement cost
agent-based modelling BECCS biomass border carbon adjustment burden sharing business models carbon disclosure carbon leakage CCS climate neutrality climate scenarios combined gas-steam cycles cost management COVID-19 D economic analysis economic recovery efficiency effort sharing regulation electric vehicles electricity recharging infrastructure emission emissions trading system endogenous technology progress energy system analysis energy trade equilibrium programming EU climate/energy policy European Union financial performance Fit for 55 fortune 500 GEM-E3-FIT Greek EV mobility 2030 Green Deal greenhouse gas heat exchange in Heat Recovery Steam Generators (HRSG) heterogeneous agents industrial relocation innovation-induced growth integrated assessment modelling integrated energy system investment decisions low carbon electricity system low-carbon R& managerial decisions n/a NEWAGE private investments in infrastructure scheduling smart contract stimulus packages TIMES PanEU unilateral climate policy value factor of wind |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566469003321 |
Fragkos Panagiotis
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integration of Renewables in Power Systems by Multi-Energy System Interaction
| Integration of Renewables in Power Systems by Multi-Energy System Interaction |
| Autore | Bak-Jensen Birgitte |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (358 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
CO2 emissions
combined heat and power system commercial buildings damping torque day-ahead thermal generation scheduling DC grid dissemination distributed energy systems double-layer optimal scheduling dynamic market economic environmental dispatch eigenvalue analysis electric boiler emission abatement strategies energy flexibility energy system analysis enhance total transfer capability estimation of thermal demand flexibility optimization flexibility quantification flexibility scheduling flexible demand gas distribution grid expansion planning heat pumps HVAC systems hybrid electricity-natural gas energy systems hydrogen integrated demand response integrated energy park integrated energy system integrated energy systems isolated bidirectional DC-DC converter Levenberg-Marquardt method load-profiles local energy management systems low-carbon medium- and long-term modeling multi energy system multi-energy system multi-energy systems multi-objective optimization multiport converter Nash equilibrium network operation non-cooperative game optimization scheduling park partition photovoltaic generation power grid power system economics power to gas (P2G) power-to-heat random fluctuations of renewable energy reactive power control method reduce curtailed wind power renewable energy generation renewable energy policy renewable energy subsidies residential buildings rolling time-horizon scenario method self-sufficiency sensitivity between TSTTC and reactive power small-signal model smart energy system solar PV system dynamics temperature dynamics of the urban heat network temporal dependence thermal storage triple active bridge trust region method TSTTC of transmission lines ultralow-frequency oscillation urban integrated heat and power system user decision whole system modelling wind power uncertainty |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557313203321 |
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Bak-Jensen Birgitte
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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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Modelling, Simulation and Control of Thermal Energy Systems
| Modelling, Simulation and Control of Thermal Energy Systems |
| Autore | Lee Kwang Y |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
active disturbance rejection control
air-fuel ratio artificial neural network boiler-turbine unit burning carbon chemical looping coefficient of thermal expansion combustion control combustion engine efficiency CSP plant model deep neural network dynamic matrix control dynamic modeling dynamic states electric and solar vehicles electronic device energy storage operation and planning exergetic analysis film coefficient flip chip component forced convection generalized predictive control (GPC) genetic algorithm heat exchanger heat transfer high temperature low sag conductor integrated energy system life prediction load dispatch low sag performance maximum correntropy multi-objective NARMA model operational optimization overhead conductor parameter estimation power plant control power tracking control Singular weighted method Solar-assisted coal-fired power generation system stacked auto-encoder steam supply scheduling supercritical circulating fluidized bed thermal fatigue thermal management thermal stress transient analysis two-tank direct energy storage ultra-supercritical unit water properties wavelets ε-constraint method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557113403321 |
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Lee Kwang Y
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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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Optimisation Models and Methods in Energy Systems / Carlos Henggeler Antunes
| Optimisation Models and Methods in Energy Systems / Carlos Henggeler Antunes |
| Autore | Antunes Carlos Henggeler |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (192 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
mixed integer linear programming
fuzzy set theory stochastic programming mixed integer linear programing variable renewable power generation efficiency optimization flexibility option portfolio analysis firefighting semi-mean-absolute deviation model component outage energy network predicted mean vote (PMV) generation expansion planning building microgrid demand side management stochastic robust optimization oil storage plants long-term forecasting multi-criteria decision making (MCDM) life cycle cost graph theory scenario-based multistage stochastic programming optimal power generation mix heating ventilation and air-conditioning (HVAC) intermittent sources electric-power structure adjustment technique for the order of preference by similarity to the ideal solution (TOPSIS) integrated energy system Markov chain Monte Carlo nondominated sorting genetic algorithm (NSGA) domino effect energy system management model electrical distribution systems microgrid operation influence diagram net demand wind power forecasting energy conservation and emissions reduction feasible operation region meshed topology occupancy-based control islanded microgrids combined heat and power multi-objective optimization re-optimization and rescheduling |
| ISBN |
9783039211197
3039211196 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367569203321 |
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Antunes Carlos Henggeler
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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