GC064-06
Advances and gaps on propagating the impact of climate change on future water availability through the energy planning process: a Western US Case Study

Thursday, 10 December 2020: 17:50
Virtual
Nathalie Voisin, Pacific Northwest National Laboratory, Richland, WA, United States, Vincent Carroll Tidwell, Sandia Natl Laboratories, Albuquerque, NM, United States, Stuart Cohen, National Renewable Energy Laboratory Golden, Golden, CO, United States, Jordan Kern, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Ana Dyreson, National Renewable Energy Laboratory Golden, Strategic Energy Analysis Center, Golden, CO, United States, Ariel Miara, CUNY Advanced Science Research Center at The Graduate Center, Environmental Sciences Initiative, New York, NY, United States, Konstantinos Oikonomou, Pacific Northwest National Laboratory, Richland, United States, Brian Tarroja, University of California Irvine, Irvine, CA, United States and Sean William Donald Turner, Singapore University of Technology and Design, Engineering Systems and Design, Singapore, Singapore
Abstract:
The Western U.S. relies heavily on water-dependent electricity generation, with hydropower and fresh surface water dependent thermo-electric plants accounting for over 60% of generating capacity. We recently demonstrated the sensitivity of operations to inter-annual variations in regional water availability on such an electric grid. Leveraging this framework, we evaluate the sensitivity of the contemporary grid to future water availability and demonstrate the importance of capturing regional diversity of generating resources when developing grid-scale, long-term water-energy plans. Acknowledging that long term energy planning is driven by a variety of factors, we extend the approach to integrate future water availability in long term resources adequacy and reliability studies using both capacity expansion and production cost models. This presentation will discuss those scientific advances, future research directions, and identified modeling gaps, which range from diversity in production cost models, representation of water-sensitive operations, and the role of markets and agents of decision making.