Verify Option C MV | Power TakeOff

Option C Automated M&V

Power TakeOff’s automated M&V software, Verify, provides industry-leading Measurement & Verification (M&V) analyses grounded in IPMVP Option C: Whole-Facility methodology. Verify allows ESCOs and program implementers to automate their Option C M&V regression modeling with accurate analytics, transparent reporting, and simplified data collection.

What Is IPMVP Option C?

IPMVP (International Performance Measurement and Verification Protocol) Option C uses total facility-level energy consumption—typically utility meter data—to determine energy savings. This method is best suited when:

- Efficiency actions affect multiple end uses
- Submetering is unavailable or cost-prohibitive
- The facility has sufficient historical data (typically ≥ 12 months)
- Simple engineering estimates cannot capture interactive effects

Option C compares modeled baseline energy use to post-intervention consumption, while adjusting for independent variables such as weather or occupancy. This results in a highly reliable, portfolio-friendly savings estimate.

Key Characteristics of Option C:

- Whole-Building/Facility Verification: Savings are determined using data from the main utility meters (electric, gas, etc.) for the entire facility.
- Data Analysis: The methodology creates a regression analysis to predict what the baseline energy use would have been if the energy conservation measures (ECMs) were not installed.
- Adjustments: The analysis accounts for independent variables (i.e., weather, production, and occupancy) and non-routine events (i.e., power outages and building expansions) in the savings analysis.
- Focus: Option C verifies the total savings for all ECMS, including any interactive effects across different systems. It does not isolate the performance of individual measures.

How Verify Executes Option C M&V

Meter Data Integration — Interval or monthly meter data is automatically imported into the software or can be uploaded via the data ingestion feature.
Establishing a Whole-Facility Baseline — Using advanced time-series regression models, Verify builds a robust baseline model that reflects the facility’s actual consumption patterns.
Post-Intervention Savings Analysis — After efficiency improvements occur — whether behavioral, operational, or low-cost tune-ups — Verify compares the post-period meter data to the modeled baseline to calculate savings.
Normalization for Independent Variables — To isolate the impact of efficiency actions, Verify allows users to normalize for external and operational factors such as weather, occupancy, production, and non-routine events.
Transparent, Standards-Aligned Reporting — Verify provides Excel-based model workbooks for users and implementers to review raw data, all statistical results, and detailed regression model outputs, allowing for exact replication of results if needed.