Project Outcomes
This project aimed to enhance the integration of emissions modelling data from Koi into Rho Impact’s CRANE platform, thereby advancing the efficiency and accuracy of climate technology assessments. CRANE, developed by Rho Impact and Prime Coalition, is a free, open-access tool to evaluate innovative technologies’ emissions reduction potential. Koi complements this by transforming authoritative energy and environmental datasets into actionable models, simplifying complex methodologies into decision-useful insights. The project involved developing a Python-based solution to automate the transformation of Koi’s data into CRANE-compatible formats to achieve seamless integration. The process began with extracting essential fields from Koi’s dataset to define key parameters for CRANE’s input. The script aggregated emissions data by calculating annual values for incumbent and solution scenarios, leveraging interpolated component GHG values from Koi’s dataset, enabling a detailed calculation of emissions reductions over the specified timeframe. The script addressed uncertainties in the solution scenario to capture potential variability. Market size was calculated by interpolating Koi data, key for assessing themarket capture potential of climate technologies. Additionally, the script computed the unit impact by comparing baseline and solution emissions, incorporating upper and lower uncertainty bounds to provide a nuanced view of emissions reduction estimates. The final output was a CRANE-compatible JSON file, including transformed data on incumbent unit emissions, solution unit emissions, market size, and unit impact. The project successfully automated the transformation of Koi data into CRANE format, enabling the rapid and accurate population of the CRANE database with high-resolution emissions models. This significant advancement supports CRANE users in more effectively assessing and reporting on climate technologies.
Crane and Koi Platform Logo / Rho Impact
