Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Challenges and Opportunities for the Renewable Energy Economy
| Challenges and Opportunities for the Renewable Energy Economy |
| Autore | Reboredo Juan Carlos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (166 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
day-ahead market
balancing market gate closure forecast uncertainty wind power forecast agent-based simulation the MATREM system drying solar energy sustainable processing energy efficiency global heat production energy market energy conversion electricity carbon trading palm oil producer renewable energy economy sustainable development clean development mechanism Sustainable Development Goals (SDGs) Malaysia energy planning Modern Portfolio Theory (MPT) Capital Asset Pricing Model (CAPM) low-carbon economy renewable energy deployment environmental efficiency pumped hydro storage wind farm simulated annealing genetic algorithm pattern search Matlab optimization toolbox economic and environment feasibility renewables low carbon interdependence copulas conditional quantiles liquefied natural gas cold energy regasification chilled water techno economic coevolution the fuel ethanol industry history-friendly model entry regulation ethanol mandate production subsidy R& D subsidy |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557648003321 |
Reboredo Juan Carlos
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts
| Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts |
| Autore | Bizon Nicu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (305 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
irrigation system
photovoltaic water pumping systems (PWPS) floating photovoltaic panels SCADA blockchain SolarCoin power factor reactive power capacitance harmonics telemetry Industry 4.0 battery management electric vehicle state of charge estimation Internet of Things smart contract Ethereum IOTA artificial intelligence information security UN sustainable development goals UN SDGs carbon trading dApp M2V IPFS charging scheduling Great-Circle Distance local electricity market smart grids energy crowdsourcing renewable energy sources prosumers blockchain technology energy poverty smart contracts hybrid power system nano-grid fuel cell fuel economy power tracking optimization droop control mesh microgrids power sharing synchronization system stability robustness analysis constant power load reconfiguration controller design analysis networked control systems (NCSs) network security delays sampling energy grids energy producers cold spinning reserve DLT brokerage SMEs energy optimisation interleaved boost converter DC/DC converter hybrid electric boat energy storage system (ESS) RST control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557365203321 |
|
Bizon Nicu
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling and Simulation of Carbon Emission Related Issues
| Modeling and Simulation of Carbon Emission Related Issues |
| Autore | Tsai Wen-Hsien |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (420 p.) |
| Soggetto non controllato |
shale gas
Tapio's model 1)) tea VARIMAX-ECM model wave energy converter error correction mechanism model low-carbon agriculture hybrid ship power systems greenhouse gas emissions STIRPAT model textile industry carbon tax refined oil distribution pushback control takeoff rate economic growth generalized regression neural network (GRNN) Industry 4.0 HOMER software population growth Markov forecasting model household consumption life cycle assessment green quality management agricultural-related sectors non-energy uses of fossil fuels investment under uncertainty CO2 emissions forecasting decoupling analysis CO2 emissions quotas allocation carbon price fluctuation final energy consumption ethylene supply household CO2 emissions (HCEs) green transportation Li-ion battery Activity-Based Costing (ABC) decoupling elasticity causal factors renewable energy per capita household CO2 emissions (PHCEs) shipping input-output model carbon intensity target climate change Monte Carlo method CLA Model energy intensity total carbon emissions mathematical programming sustainable development Generalized Divisia Index carbon trading influence factor tire industry socio-economic scenarios hybrid genetic algorithm economic growth and the environment non-linear programming environmental impact capacity expansion product-mix decision model influencing factors scenario forecast energy structure China carbon emissions inventory routing problem green manufacturing fairness power industry activity-based costing (ABC) aircraft electric power industry taxi time real options analysis carbon footprint LT-ARIMAXS model carbon intensity gray model (GM (1 reducing carbon emissions sustainable agriculture long-term |
| ISBN | 3-03921-312-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367566903321 |
|
Tsai Wen-Hsien
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||