India Modeling Spotlight Series

Determining where new solar and wind energy projects should be sited begins with understanding the available resources, land categorizations and uses, and potential deployment for new systems. The Renewable Energy Potential (reV) model is a first-of-its-kind, streamlined framework for conducting resource analysis, technical potential estimating, and supply curve modeling. Now that the reV model is available on GitHub, anyone can perform their own analysis to determine potential sites for solar and wind energy projects. In this webinar, Nick Grue, a geospatial data scientist at the National Renewable Energy Laboratory discusses the model’s applications and demonstrates how the model works.

Watch the reV Model webinar.

The Regional Energy Deployment System (ReEDS) India model is the first adoption of the ReEDS tool for a non-North American system. ReEDS simulates the evolution of the bulk power system—generation and transmission—from present day through 2050 or beyond. It is NREL’s flagship capacity planning model for the North American electricity system and has been used extensively for the past 20 years to answer diverse power sector questions.

ReEDS India was developed to understand new complexities in power system planning in India as the government targets ambitious clean energy goals. Speakers include Amy Rose, an electrical engineer who supports power sector planning, product cost modeling, regional power pools, and grid integration of renewable energy at NREL, and Ilya Chernyakhovskiy, a grid systems analyst at NREL who specializes in energy policy, market analysis, and data analysis and statistical modeling.

Watch the ReEDS India webinar.

The Emerging technologies Management and Risk evaluation for distribution Grid Evolution (EMeRGE) tool was developed by NREL. The EMeRGE tool helps distribution utilities understand the challenges and opportunities of integrating emerging technologies like rooftop solar into the power grid. The tool includes a suite of interactive modules for assessing distribution network operation and planning, distribution system asset risk, on-demand emerging technology grid interconnection assessments, and time series data analysis.

Speakers for this webinar include:

• Adarsh Nagarajan, who leads the Power System Design and Planning group at NREL and specializes in grid integration of emerging technologies.
• Kapil Duwadi, an electrical engineer with an emphasis on techno-economic analysis and power system optimization.
• Killian McKenna, a project and technical lead in distribution networks at NREL, with a focus on energy storage and behind-the-meter resources.

Watch the EMeRGE webinar.

The Distributed Generation Market Demand (dGen) model calculates the technical, economic, and adoption potential of rooftop and distributed solar photovoltaic (PV) resources. It has been used widely by policy makers and utility planners in the United States. Through a partnership with the Indian Center for Study of Science, Technology and Policy, NREL has developed a new version of the model to project PV customer adoption in India. With dGen India, users can model various policy, incentive, and cost scenarios to analyze the impacts on project economics and consumer adoption.

In this webinar, viewers will learn the methodologies and data sources used by dGen, followed by preliminary results for India and details on future modeling efforts. Speakers include Sam Koebrich, a researcher and data scientist at NREL helping to lead development of the dGen India model, and Paritosh Das, a researcher and technical lead at NREL responsible for previous dGen analysis in Mexico, Los Angeles, and at the national level in the United States.

Watch the dGen webinar.

As the penetration of variable and energy-limited generation resources are increasing, the reliability of supply is a concern to system operators. Is there enough power available at the right place, at the right time for the power system to serve the load with acceptably low shortfall risk? This is a key question in generation system planning and the purpose behind resource adequacy assessments.

NREL developed the Probabilistic Resource Adequacy Suite (PRAS) to support these analyses. PRAS simulates outage events on the bulk power system to quantify the risk of unserved load events resulting from shortfalls in the supply or transmission outages. PRAS also has the capability of estimating the contribution of added generation resources to the power system, also known as capacity credit. PRAS has been used in the North American Renewable Integration Study and several other adequacy-related projects at NREL.

In this webinar, viewers will learn more about the capabilities of PRAS, and its possible applications. The webinar’s featured speaker is Sarah Awara, an electrical engineer at NREL who specializes in resource adequacy assessments with a focus on capacity credit of renewable resources.

Watch the PRAS webinar.