How a Utility Review Uncovered $384,000 in Annual Savings
A detailed utility and infrastructure review identified more than $32,000 per month in avoidable charges. Strategic changes to power factor, demand management, and tariff selection transformed hidden losses into long-term operational savings.
Project Overview
Detailed billing analysis revealed excessive power-factor penalties and tariff-driven demand costs that were not tied to total energy use. Nearly $384,000 per year was being lost through utility billing structures rather than core equipment inefficiency.
Challenge
Poor power factor and clustered equipment start-ups created short, expensive kW spikes. Combined with a rate structure that did not match the facility’s operating profile, the site was paying penalties and peak demand charges that could be reduced with better coordination.
Advisory Role & Approach
- Utility Bill Forensics: Reviewed line-item charges to identify avoidable penalties, demand exposure, and tariff issues.
- Power Factor Review: Identified excessive penalty charges and coordinated corrective action.
- Demand Management: Evaluated equipment start-up patterns and operating schedules to reduce peak kW exposure.
- Rate Optimization: Compared tariff options against actual operating patterns to reduce recurring utility costs.
- Ongoing Review Framework: Created a practical method to flag future billing drift, demand spikes, and utility anomalies.
Principle: Energy cost is not just about consumption. For power-intensive facilities, demand charges, power factor, tariffs, and operating patterns can materially change the economics of a project.
Results
- Penalty Reduction: Approximately $22,000/month in power-factor-related charges addressed.
- Peak Demand Savings: More than 20% reduction in maximum kW, creating approximately $10,000/month in demand savings.
- Annual Impact: Approximately $384,000 in recurring utility savings identified and verified through subsequent billing review.
- Strategic Value: Improved visibility into how power quality, demand timing, and tariff selection affect operating cost.