A Replicable Asset-Light Demand-Side Management Protocol for Contracted-Capacity and Peak-Demand Risk Assessment in Existing Multi-Story Residential Buildings
Po Chuan Huang, Szu-Wei Fang, Wei Lin, Shwu-Ting LeeExisting residential buildings require peak-demand governance even when complete sub-metering and advanced control systems are unavailable. This study develops a replicable asset-light demand-side management (DSM) protocol for contracted-capacity risk assessment. The protocol integrates utility-billing records, 15 min community main-meter (MP) and selected sub-meter data, operational-period segmentation, residual-load treatment, capacity-risk indicators, rule selection, event decomposition, and post-calibration verification. The protocol was examined in a Taiwanese condominium using utility records beginning in June 2022 and stabilized digital-meter data from April 2023 to May 2026. Four sub-metered systems explained 76.3% of monthly MP electricity use, with 23.7% retained as residual load. Under a 40 kW operational reference boundary, maximum MP demand reached 41.12 kW, yielding a utilization ratio of 1.028 and a relative capacity buffer of −2.8%. In a representative critical interval, the aggregate mechanical-power boundary contributed 79.6% of MP demand; however, equipment-level EV output was not independently recorded. After rule-based calibration, maximum MP demand was 29.36 kW, and no MP threshold-exceedance intervals or billing-level over-capacity surcharges were documented. These findings provide observational performance evidence rather than definitive causal proof. The contribution is a recalibratable diagnostic sequence for capacity-risk governance under partial metering and property-management constraints.