Presentation Description: Hybrid energy projects offer more reliable and predictable power production but also present new challenges in designing and optimizing energy systems. Moving from climatic to time series analysis, the challenges of accurately profiling hybrid systems can be met while improving the bankability of energy estimates. This presentation discusses how standard data outputs can be leveraged into temporally consistent, long-term, hind-casts better capturing the unique production profiles solar and wind.
Methodology to calculate wind farm production from predicted wind speeds at individual turbines will be presented and compared to simpler temporal methodologies. The treatment of losses such as shutdown, environmental, performance, curtailment and electrical will be reviewed.
Validation of the time series analysis with real production data from solar and wind facilities in the same geographic region will be presented. The case study will highlight the required accuracy of model inputs, such as resource data and losses, and sensitivity of the analysis. Building on this, the benefits of hybrid systems will be explored and how the quality of model can affect the hybrid energy mix and enhance or reduce the hybrid advantages.