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PG&E outlines data platform to automate NGLA appendices and apply mobile "super-emitter" survey results per leak
Summary
PG&E presented a centralized data platform pulling ~105 sources into 20 datasets to automate appendix generation, allow monthly KPIs, and a use case that uses geospatial applicability of super-emitter mobile surveys to determine per-leak emission-factor assignment.
Kevin Pease, an engineer on PG&E’s greenhouse gas emission strategies team, described a project to centralize reporting inputs into refreshable datasets so appendices for the Natural Gas Leak Abatement report can be auto-generated and operational teams can access monthly KPIs rather than a once‑a‑year snapshot.
Pease said PG&E has connected roughly 105 source systems and compiled them into 20 refreshable datasets that correspond to appendix categories (leaks, damages,…
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