Unlocking zero-cost flexibility in office buildings with adaptive comfort heating strategy and thermal mass utilization

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Authors: Farzaneh Mousavi Motlagh, Pieter-Jan Hoes, Jan Hensen
Cited by: 2
References: 32

Abstract

The growing share of renewable energy introduces significant variability and uncertainty in the electricity grid, increasing the need for demand-side flexibility. Buildings with controllable assets represent a promising source of flexibility. This study explores adaptive comfort heating strategies to unlock cost-free flexibility in the thermal mass of office buildings while maintaining comfort. A twofold methodology is proposed: a measurement study assessing the impact of adaptive setpoint adjustments on thermal comfort, and a simulation-based framework quantifying flexibility under diverse design and control strategies. The framework couples building simulations with a penalty-aware controller to optimize battery and heat pump operation in response to dynamic electricity prices or CO 2 intensity using mixed-integer linear programming. Applying the methodology to a 2511 m 2 Dutch office building shows that thermal mass delivers load shifting comparable to that of a 200 kWh battery. Analysis of eight variations of the case study, differing in layout, insulation, and window-to-wall ratio, further confirms these findings. Thermal mass provides 17.2 to 19.7 Wh/m2 of daily average shiftable load depending on comfort constraints, while the battery contributes 19.4 to 23.3 Wh/m2 under price-based and 10.7 to 16.1 Wh/m2 under CO 2 -based optimization. The battery’s high investment and embodied CO 2 limit its economic and environmental benefits compared to rooftop PV and cost-free thermal mass. Results also highlight the strong influence of window-to-wall ratio and office layout on potential shiftable electricity. Overall, adaptive comfort control strategies enable office buildings to provide cost-free flexibility that, when aggregated, can support renewable integration, balancing services, and grid resilience.

Fields of Study & Subjects

Smart Grid Energy Management Building Energy and Comfort Optimization Integrated Energy Systems Optimization

Publication details

Journal / source
Energy and Buildings
Publisher
Elsevier BV
Volume
357
Pages
117126–117126
Publication date
11 February 2026
Language
EN