Near-optimal temperature setpoint transition strategies for peak load reduction and thermal comfort in grid-integrated school buildings

This paper presents a framework for managing peak space-conditioning loads and indoor comfort in grid-interactive buildings using optimized temperature setpoint transition strategies. While the conventional thermostatic night setback approach relies on zone air temperature control for regulating building heating/cooling demand, this study employs a novel sensor technology that provides real-time effective room temperature integrating radiant and convective thermal effects in its measurements. Grey-box thermal models calibrated with this effective temperature, which closely approximates operative temperature, are used to control peak heating loads and rebound effects in a classroom with convective heating system during winter conditions. To unlock building energy flexibility while ensuring indoor thermal comfort during active demand response (DR) events, two rule-based control scenarios are evaluated and compared: a reference case using step-change setpoint curves to control room air temperature, and flexible scenarios using near-optimal setpoint curves to control room operative temperature. Results show that for a single-phase DR event considering morning peak demand only, the flexible scenarios reduced peak heating load by 46% compared to the reference case. For multi-phase DR events including prebound, peak and rebound periods, operative temperature control reduced preheating demand by 42%, fully curtailed on-peak load, and lowered subsequent rebound peaks by approximately 60%. Additionally, the flexible control scenarios achieved considerable energy cost savings under time-of-use and flat-rate pricing while maintaining satisfactory indoor comfort. The findings demonstrate that integrating operative temperature feedback with optimized setpoint transition strategies enhances HVAC responsiveness and grid operation, offering a promising approach for scalable DR participation in grid-connected buildings. • A framework integrating operative temperature control with optimized setpoint transitions reduces peak loads in grid-interactive buildings is presented • Methodology is validated through field demonstration in an all-electric school classroom during cold Québec winter conditions. • Optimized temperature setpoint ramps fully eliminated on-peak heating demand and reduced rebound power by 60% compared to conventional step changes. • Energy cost savings of 86% are achieved under time-of-use pricing without compromising indoor comfort.

Authors

Institutions

Publication Details

Journal
Smart Energy
Published
2026-03-31
DOI
https://doi.org/10.1016/j.segy.2026.100240
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Near-optimal temperature setpoint transition strategies for peak load reduction and thermal comfort in grid-integrated school buildings

Navid Morovat, Andreas Athienitis, Hervé Frank Nouanegue, Blessing Ayegba
Smart Energy
Smart Grid Energy Management
article

Near-optimal temperature setpoint transition strategies for peak load reduction and thermal comfort in grid-integrated school buildings

Navid Morovat, Andreas Athienitis, Hervé Frank Nouanegue, Blessing Ayegba
article en

Abstract

This paper presents a framework for managing peak space-conditioning loads and indoor comfort in grid-interactive buildings using optimized temperature setpoint transition strategies. While the conventional thermostatic night setback approach relies on zone air temperature control for regulating building heating/cooling demand, this study employs a novel sensor technology that provides real-time effective room temperature integrating radiant and convective thermal effects in its measurements. Grey-box thermal models calibrated with this effective temperature, which closely approximates operative temperature, are used to control peak heating loads and rebound effects in a classroom with convective heating system during winter conditions. To unlock building energy flexibility while ensuring indoor thermal comfort during active demand response (DR) events, two rule-based control scenarios are evaluated and compared: a reference case using step-change setpoint curves to control room air temperature, and flexible scenarios using near-optimal setpoint curves to control room operative temperature. Results show that for a single-phase DR event considering morning peak demand only, the flexible scenarios reduced peak heating load by 46% compared to the reference case. For multi-phase DR events including prebound, peak and rebound periods, operative temperature control reduced preheating demand by 42%, fully curtailed on-peak load, and lowered subsequent rebound peaks by approximately 60%. Additionally, the flexible control scenarios achieved considerable energy cost savings under time-of-use and flat-rate pricing while maintaining satisfactory indoor comfort. The findings demonstrate that integrating operative temperature feedback with optimized setpoint transition strategies enhances HVAC responsiveness and grid operation, offering a promising approach for scalable DR participation in grid-connected buildings. • A framework integrating operative temperature control with optimized setpoint transitions reduces peak loads in grid-interactive buildings is presented • Methodology is validated through field demonstration in an all-electric school classroom during cold Québec winter conditions. • Optimized temperature setpoint ramps fully eliminated on-peak heating demand and reduced rebound power by 60% compared to conventional step changes. • Energy cost savings of 86% are achieved under time-of-use pricing without compromising indoor comfort.

Smart EnergyVol. 22
Hydro-Québec (CA), Concordia University (CA)
Hydro-Québec, Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 29%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.