Physics-informed neural network modeling and predictive control of district heating systems

LB de Giuli, A La Bella… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article addresses the data-based modeling and optimal control of district heating
systems (DHSs). Physical models of such large-scale networked systems are governed by …

Optimal management and data-based predictive control of district heating systems: The Novate Milanese experimental case-study

A La Bella, A Del Corno - Control Engineering Practice, 2023 - Elsevier
This paper addresses the modelling and optimal control of district heating systems
connected to the electrical grid, with the goal of maximizing their operational efficiency and …

Integrated energy system optimal operation using Data-Driven district heating network model

L Wang, J Zhao, Z Xu, F Zhao, C Song, C Yang… - Energy and …, 2023 - Elsevier
A feasible measure to improve the volatility of the power grid is using heat storage capacity
of a district heating network (DHN) in the optimal operation of an integrated energy system …

[HTML][HTML] Assessing flexibility in networked multi-energy systems: A modelling and simulation-based approach

I Abbà, A La Bella, SP Corgnati, E Corsetti - Energy Reports, 2024 - Elsevier
In response to the uncertainty and volatility arising from renewable sources, there is a
growing need for enhanced flexibility within the energy system to maintain a continuous …

A data-based compact pipe model for district-heating-and-cooling networks with variable flow conditions

M Jiang, M Speetjens, C Rindt, D Smeulders - Energy and Buildings, 2025 - Elsevier
The present study develops a data-based compact model for the prediction of the fluid
temperature evolution in district heating-and-cooling pipeline networks. This model is based …

Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach

S Lu, Z Gao, Y Sun, S Zhang, B Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The district heating network (DHN) is essential in enhancing the operational flexibility of
integrated energy systems (IES). Yet, it is hard to obtain an accurate and concise DHN …

Control-Oriented Modeling, Simulation, and Predictive Control of District Heating Networks

L Nigro, A La Bella, F Casella… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
District heating networks (DHNs) are recognized as pivotal infrastructures to reduce the
carbon footprint of the heating sector. However, their large-scale dimension and the involved …

Predictive Control and Benefit Sharing in Multi-Energy Systems

A La Bella, L Nigro, R Scattolini - IEEE Transactions on Control …, 2023 - ieeexplore.ieee.org
This article proposes the design of a hierarchical control architecture capable of optimally
coordinating multi-energy systems (MESs). A MES involves the synergetic operation of …

Distributed two-layer predictive control of multi-energy systems

L Nigro, A La Bella, R Scattolini - 2024 European Control …, 2024 - ieeexplore.ieee.org
Multi-energy systems (MESs) involve the synergetic operation of different energy vectors,
unlocking higher system flexibility and efficiency. Nonetheless, they suffer from high model …

Enhancing the energy efficiency in district heating networks through digital twins

JL Hernández, I de Miguel, F Vélez, P Marcos… - Procedia Computer …, 2024 - Elsevier
Europe prioritizes energy efficiency for sustainable development and climate action, with
buildings consuming 40% of the EU's energy and contributing over 30% of CO 2 emissions …