| Project |
| Acronym: |
|
| Name: |
Solar Irradiance, Wind Speed and Wind Turbine Models for the Design and Control of Hybrid Power Systems
[PROJECT URL | CORDIS URL] |
| Project status: |
From: 2009-08-15
To: 2009-12-15
(Completed)
|
| Contract number: |
PSA 1158212 |
| Action line: |
|
| Type (Programme): |
INDUSTRY |
| Instrument: |
Ostalo |
| Project cost: |
21.000,00 USD |
| Project funding: |
21.000,00 USD |
| Project coordinator |
| Organisation Name: |
United Technologies Research Center |
| Organisation adress: |
411 Silver Lane, East Hartford, Connecticut |
| Organisation country: |
Sjedinjene američke države |
| Contact person name: |
Vladimir Blaško |
| Contact person email: |
Email |
| Croatian partner |
| Organisation name: |
Fakultet elektrotehnike i računarstva |
| Organisation address: |
Unska 3, HR-10000 Zagreb |
| Contact person name: |
Nedjeljko Perić
|
| Contact person tel: |
| +385-1-6129-855 |
Contact person fax: |
+385-1-6129-809 |
|
| Contact person e-mail: |
Email |
| Partners |
|
|
| Short description of project |
| The aim of this work is to develop solar irradiance and wind speed models that can predict and/or emulate the intermittent nature of these two renewable energy sources. As a part of this study, we are interested in two different time-scales: short-term models valid in the range of several minutes to fractions of an hour, and long-term models valid in the range of hours to fractions of a day. Because of the intermittent nature of renewable energy sources short-term models are necessary to determine the dynamic robustness of the system to sudden variation of the energy collected and/or the energy demanded by the loads. Long-term models are necessary during the dispatching process to determine the best mix of renewable, non-renewable energy sources and energy storage for optimal performance of the system. The models will be implemented in Simulink-Matlab. |
| Short description of the task performed by Croatian partner |
| Development of a parametric solar irradiance model that can be driven by weather forecast data. Development of a wind turbine and wind field simulation model. |
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