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