2026-07-04 Comment response to the published Request for information

Persistence Analytics Group LLC submits this comment in response to DOE’s Request for Information regarding Energy Conservation Standards for Distribution Transformers. PAG focuses on infrastructure-risk analytics, demand durability, grid stress, load integrity, and implementation-assumption verification. The distribution transformer issue should not be analyzed only as an equipment-efficiency question. It should be analyzed as an infrastructure-assumption question. Distribution transformers sit at the point where policy, load growth, electrification, data-center demand, distributed energy resources, replacement cycles, supply-chain constraints, utility planning, and ratepayer exposure meet. Any standard affecting transformer design, cost, availability, replacement timing, efficiency, materials, or manufacturing capacity can have consequences beyond modeled energy savings. DOE should ensure that any analytical framework for distribution transformer standards explicitly tests the durability of the assumptions underneath the rule. Key questions include: 1. Are projected transformer benefits being evaluated against real-world utility replacement cycles, procurement constraints, and field operating conditions? 2. Are DOE’s assumptions accounting for transformer shortages, lead times, domestic manufacturing limits, electrical steel availability, and competing grid-modernization demand? 3. Are modeled savings being compared against the risk of higher upfront costs, delayed deployment, reduced availability, or slower replacement of aging equipment? 4. Are peak-load impacts, load growth uncertainty, data-center demand, EV charging, electrification, DER adoption, and regional grid stress being evaluated as probabilistic scenarios rather than static assumptions? 5. Are transformer losses being analyzed in relation to actual loading patterns, not only nameplate or modeled average conditions? 6. Are consumer, utility, manufacturer, and ratepayer impacts being tested under uncertainty rather than treated as fixed point estimates? 7. Could a well-intended efficiency standard create unintended infrastructure risk if it increases cost, reduces product availability, narrows supply options, or delays replacement of older transformers? DOE should distinguish between modeled efficiency gains and executable infrastructure outcomes. A standard can appear beneficial in an engineering model while creating implementation risk in the field if supply chains, cost recovery, procurement timing, manufacturing capacity, utility replacement schedules, or load-growth assumptions do not hold. PAG recommends that DOE incorporate an independent assumption-verification layer into its analysis for distribution transformers. Such a layer should evaluate: • demand durability • load integrity • peak-demand exposure • transformer replacement timing • grid-stress sensitivity • regional variability • supply-chain constraints • manufacturer capacity • lifecycle-cost uncertainty • ratepayer and utility exposure • implementation risk if assumptions fail PAG is not submitting proprietary methodology into the public record. However, PAG strongly recommends that DOE require transparent testing of the assumptions that determine whether a transformer standard is not only technically feasible and economically justified, but operationally executable under real grid conditions. The core issue is simple: Do the modeled benefits remain valid when tested against actual grid stress, equipment availability, replacement cycles, load growth, supply-chain limits, and ratepayer exposure? Trust the standard. Verify the assumptions. Respectfully submitted, Neil P. Osnato Founder Persistence Analytics Group LLC | United Grid National Security & Infrastructure Risk Analytics Demand Durability | Grid Stress | Load Integrity [neil@persistenceanalyticsgroup.com](mailto:neil@persistenceanalyticsgroup.com) 609-464-9055 https://persistenceanalyticsgroup.com/ SAM.gov Registered Vendor UEI: D3VYU39H6DX9 | CAGE: 19T34 D-U-N-S: 142849930