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Market Design for a High-Renewables Electricity System
| Market Design for a High-Renewables Electricity System |
| Autore | Strielkowski Wadim |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (328 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
renewable energy
sustainable development gross domestic product GDP electrical capacity energy intensity hierarchical cluster analysis energy policy wholesale market design Electricity markets power system conceptual architecture distributed generation flexible resources local electricity markets electricity market design direct current distribution system local market flexibility microgrids continuous double auction Q-learning algorithm battery energy storage system, Q-cube framework bidding strategy emissions trading electricity price econometric modeling time series analysis emission allowance electricity market speculative trading forward market integration of renewable sources integrated markets co-optimization reserve allocation biofuels electricity generation power sector biomass Jatropha curcas system integration power industry state policy smart metering tariff rates system marginal price renewable energy sources photovoltaics day ahead market merit order curve electricity demand seasonal and daily variation RES (renewable energy sources) surcharge energy market artificial intelligence digital platform peer-to-peer trading mechanism clearing model clearing algorithm trading platform sustainability Internet of Energy smart meters smart grid husk energy supply efficiency carbon dioxide emissions energy efficiency economic growth energy consumption Czech Republic Slovakia |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557624003321 |
Strielkowski Wadim
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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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Modeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking
| Modeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking |
| Autore | Echterhof Thomas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
liquid metals
bubble generation bubble size distribution porous plugs bubble deformation drag force lift force mathematical modelling computational fluid dynamic slag heat recovery heat exchanger drying slag energy content heat recovery technology RecHeat rotary kiln reduction process numerical simulation pre-reduction scrap preheating electric arc furnace continuous charging turbulence modelling RANS/LES/DNS inflow condition model validation model application energy demand regression artificial neural network Gaussian process regression Köhle formula evaluation model quantitative relationship scrap melting mass transfer coefficient steelmaking process direct current arc impingement arc gap gas density electric arc magneto hydrodynamics computational fluid dynamics real-time model estimation model predictive control steel refining mathematical modeling carbon composite briquette blast furnace ironmaking reaction kinetics coke saving direct reduction Midrex HYL Rist diagram energy consumption profile optimization modelling machine learning steelmaking fuzzy modelling evolving modelling continuous casting near net shape casting twin roll (Bessemer) casting horizontal single belt casting |
| ISBN | 3-0365-5154-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619471103321 |
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Echterhof Thomas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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