A compositional modeling framework for the optimal energy management of a district network

TL;DR

This paper introduces a compositional modeling framework for optimizing energy management in district networks, focusing on cooling systems, resource sharing, and cost reduction through energy flux-based models and control strategies.

Contribution

It presents a novel compositional modeling approach that captures district network dynamics and enables efficient control for energy cost minimization and resource sharing.

Findings

Framework effectively models various district configurations.

Control strategies reduce electrical energy costs.

Models accommodate disturbances and component interactions.

Abstract

This paper proposes a compositional modeling framework for the optimal energy management of a district network. The focus is on cooling of buildings, which can possibly share resources to the purpose of reducing maintenance costs and using devices at their maximal efficiency. Components of the network are described in terms of energy fluxes and combined via energy balance equations. Disturbances are accounted for as well through their contribution in terms of energy. Different district configurations can be built, and the dimension and complexity of the resulting model will depend on the number and type of components and on the adopted disturbance description. Control inputs are available to efficiently operate and coordinate the district components, thus enabling energy management strategies to minimize the electrical energy costs or track some consumption profile agreed with the main grid operator.