Title: Grid2050: An Open-Source Tool to Support User Development and Exploration of Us 2050 Low Carbon Electricity Mixes

13 Pages Posted: 31 Jan 2024

See all articles by Sarah Anne Troise

Sarah Anne Troise

Carnegie Mellon University

M. Granger Morgan

Carnegie Mellon University - Department of Engineering and Public Policy

Abstract

This paper introduces Grid2050, a web-based decision support framework that allows users to build and assess US low-carbon electricity generation portfolios for 2050. Although base assumptions from various sources are integrated in the tool to support a default portfolio mix, the framework encourages users to alter assumptions about the techno-economic performance and socio-political acceptance of different technologies to create their own portfolios. To support that process, the framework includes built-in analytics to estimate deviations from base assumptions, a capability to explore alternative assumptions about technological learning and scale-up, and the premiums that users are willing to incur to avoid or deploy different technologies. This suite of features offers a way to benchmark the consistency and feasibility of users’ energy system preferences. Its use should help inform energy system planning studies and regulatory interventions to bend the global warming curve.

Keywords: low carbon electricity generation, decarbonization, CO2 emission abatement, public preference

Suggested Citation

Troise, Sarah Anne and Morgan, M. Granger, Title: Grid2050: An Open-Source Tool to Support User Development and Exploration of Us 2050 Low Carbon Electricity Mixes. Available at SSRN: https://ssrn.com/abstract=4712468 or http://dx.doi.org/10.2139/ssrn.4712468

Sarah Anne Troise (Contact Author)

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

M. Granger Morgan

Carnegie Mellon University - Department of Engineering and Public Policy ( email )

Baker Hall 129
5000 Forbes Avenue
Pittsburgh, PA 15213
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
15
Abstract Views
122
PlumX Metrics