Presentation Description: Understanding how best to expand your renewable energy portfolio can be challenging. A comprehensive understanding of how wind, utility scale solar and behind the meter solar can feed into a system to meet demand is important. Quantifying the coincident renewable generation with daily peak load or potential resource scarcity issues during cold snaps or heat waves has been challenging with limited historical datasets. DNV GL has used its stochastic modeling capabilities to create 20,000 years of simulated wind, solar and load data to investigate how the inclusion of offshore wind can help to compliment existing DER and increase grid resiliency. This capability allows for a better projection of future variability as it allows us to evaluate the full spectrum of weather conditions that drive power production instead of a simple evaluation of historical behavior. The inclusion of offshore wind to the regional electric grid can allow the grid to benefit from the portfolio effect due to the distributed resource. DNV GL goes beyond just illustrating the time of day generation benefits for offshore wind and BTM solar and demonstrates how the risk of too little or too much DER resource can be matched with power demand to improve or update system and transmission planning processes.
Learning Objectives:
-Modeling of onshore and offshore wind, utility scale and behind the meter (BTM) solar and load.
-Impact of DER on load (net load) profile. (Change in net load magnitude and timing)
-Change to net-zero carbon policies for some utilities means huge increase in electrical demand for places that have traditionally used gas and oil for heating. Placement of new projects not only geographically but also the generation type (wind vs solar) can help to increase grid reliability.
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