Resolve#

Welcome to the new Resolve documentation! These docs are periodically updated and improved for better user experience.

Resolve is a least-cost capacity expansion model that identifies optimal electricity supply portfolios through capacity expansion and production simulation modeling. Optimal investment plans account for the capital costs of new resources, the variable costs of reliably operating the grid, and additional values such as environmental attributes. Resolve has been used to support resource planning and valuation for dozens of clients across North America.

More detailed information along with relevant projects and reports that have leaned on RESOLVE can be found on this webpage.

resolve-baseball-card.png

Resolve was initially developed in 2014 to assess the investment needs of systems seeking to integrate large quantities of variable renewable resources. In 2020, Resolve was re-developed from the ground up to study emerging questions around emerging technologies (e.g., long-duration energy storage, electrolytic fuel production) thanks to funding by the California Energy Commission (CEC EPC-19-056).

Resolve Data Flow#

Resolve uses a combination of Excel spreadsheet, Jupyter notebooks, and Python scripts. This documentation will briefly cover each step.

resolve-data-flow.png

Contact Us#

Please file bug reports on GitHub.

For support from E3 staff related to the 2022-23 CPUC IRP proceeding, use this booking link

For any other questions or more information on Resolve and E3’s other modeling tools, email us: platform@ethree.com.

Kicking it off#

Now that we have some background on what Resolve is, let’s understand and walk through the steps of running Resolve and plan clean and reliable electric systems. 👷‍♂️🏗️