Aggregated Modeling of Massive Heterogeneous Building HVAC Loads for Demand Response: A Fluid Dynamics Perspective

The aggregation of massive heterogeneous building HVAC (heating, ventilation and air-conditioning) loads is essential for enhancing the flexibility of power grids in demand response contexts. However, practical challenges such as unavailability of load parameters and sensor update delays significantly hinder the development of accurate aggregation models. To this end, this letter introduces a novel fluid dynamics perspective to model the HVAC aggregation behavior under more realistic scenarios that account for these practical issues. A novel analogy is established to treat the HVAC population as a fluid system, enabling the aggregation dynamics to be intuitively captured through wellestablished fluid phenomena. Building on this perspective, a 2-D advection-diffusion-reaction (ADR) equation-based aggregation model is developed. Case studies demonstrate that the proposed model can accurately predict the aggregated power variation under these realistic scenarios. In addition, control strategies guided by this model can accurately track the reference load regulation signal, with an average relative error of less than 2%.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Smart Grid
Published
2025-05-05
DOI
https://doi.org/10.1109/tsg.2025.3567165
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Aggregated Modeling of Massive Heterogeneous Building HVAC Loads for Demand Response: A Fluid Dynamics Perspective

Yelun Peng, Bingxu Li, Zhikang Shuai
IEEE Transactions on Smart Grid
Wind and Air Flow Studies
article

Aggregated Modeling of Massive Heterogeneous Building HVAC Loads for Demand Response: A Fluid Dynamics Perspective

Yelun Peng, Bingxu Li, Zhikang Shuai
article en

Abstract

The aggregation of massive heterogeneous building HVAC (heating, ventilation and air-conditioning) loads is essential for enhancing the flexibility of power grids in demand response contexts. However, practical challenges such as unavailability of load parameters and sensor update delays significantly hinder the development of accurate aggregation models. To this end, this letter introduces a novel fluid dynamics perspective to model the HVAC aggregation behavior under more realistic scenarios that account for these practical issues. A novel analogy is established to treat the HVAC population as a fluid system, enabling the aggregation dynamics to be intuitively captured through wellestablished fluid phenomena. Building on this perspective, a 2-D advection-diffusion-reaction (ADR) equation-based aggregation model is developed. Case studies demonstrate that the proposed model can accurately predict the aggregated power variation under these realistic scenarios. In addition, control strategies guided by this model can accurately track the reference load regulation signal, with an average relative error of less than 2%.

IEEE Transactions on Smart GridVol. 16(4)
Hunan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 92%
Wind and Air Flow Studies
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.

Aggregated Modeling of Massive Heterogeneous Building HVAC Loads for Demand Response: A Fluid Dynamics Perspective — Yelun Peng, Bingxu Li, et al. · IEEE Transactions on Smart Grid (2025) | TGRS Research Map | TGRS