trim.energy integrates NASEO's open-source OpenBCA model directly with 19 states' Technical Reference Manuals. Automatically generate permutations of a TRM measure, select the ones you need, and begin a Benefit-Cost Analysis without retyping or converting formulas. The same collaborative platform helps intervenors debate updates to TRM measures without marking up 800+ page Word docs full of formulas.
Before analysis can begin, teams hunt through hundreds of PDF pages, retype each measure's formulas and assumptions, and convert them for a separate BCA model. The same work is repeated every planning cycle.
Measure formulas live in 800+ page manuals, while planning models live elsewhere. Moving from one to the other requires a manual translation.
Consultants read the TRM, find every relevant input and formula, then retype and reshape them before Benefit-Cost Analysis can start.
Climate zones, building types, technologies, and other dimensions create thousands of permutations that are difficult to model and audit in spreadsheets.
Developers collaborate by marking up 800+ page Word documents full of formulas, making review, version comparison, and supporting evidence difficult to manage.
trim.energy connects source formulas, measure permutations, OpenBCA analysis, and collaborative TRM updates in one environment.
OpenBCA is integrated directly with 19 states' TRMs, so source formulas and assumptions are ready for Benefit-Cost Analysis without retyping or conversion.
Automatically generate valid permutations of TRM measures, then select the ones you want to include in a Benefit-Cost Analysis for your DSM Plan.
A multidimensional formula language reduces the number of formulas by 99% compared with spreadsheets, while GPU-accelerated calculation handles vast permutations.
Navigate from any result to its formulas, dependencies, and source assumptions for each permutation without hunting through appendix tables.
Collaborate on formulas in real time with supporting evidence, debate, permissions, and version history attached directly to each formula.
Use trim.energy inside ChatGPT, Claude, or another chatbot for AI assistance researching and writing formulas in a structured, traceable environment.
2 granted patents on the graph-based architecture that makes it practical to attach supporting evidence and debate to formulas and to compare them across similar measures and states.
Built with a multidimensional formula language, with GPU-accelerated calculation at scale.
Business development led by the former head of utility consulting at Guidehouse (acquired for $5B) and leading NJ firms.
See how trim.energy turns TRM measures into OpenBCA-ready analyses while keeping every formula traceable.