Energy learning curves of PV systems
| Autor: | Marzella Görig, Christian Breyer |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Environmental Engineering 020209 energy General Chemical Engineering 02 engineering and technology Sustainability Aspects 0202 electrical engineering electronic engineering information engineering Environmental Chemistry Specific energy Energy market Waste Management and Disposal Productivity Simulation General Environmental Science Water Science and Technology Renewable Energy Sustainability and the Environment business.industry Photovoltaic system Energy consumption Environmental economics PV - a Major Electricity Source 021001 nanoscience & nanotechnology Energy accounting Learning curve 0210 nano-technology business Energy (signal processing) |
| Zdroj: | Environmental Progress & Sustainable Energy. 35:914-923 |
| ISSN: | 1944-7442 |
| DOI: | 10.1002/ep.12340 |
| Popis: | 27th European Photovoltaic Solar Energy Conference and Exhibition; 4682-4692 Energy demand of photovoltaic (PV) systems is an important part of energy sustainability of PV systems. PV systems are considered sustainable energy systems when the produced energy is higher than needed. his paper is using financial learning curve concepts to determine energy demand of main PV modules and systems. General PV module and PV system energy learning curves are calculated by weighting energy demand of different PV systems according to their share in PV market. Additionally the contribution of module efficiency into energy reduction is considered. Energy payback time (EPBT) and energy return on investment (EROI) in 2010 and 2020 are calculated via energy learning rate. |
| Databáze: | OpenAIRE |
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