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

Fulltext:


Authors:

Daniele Ioli , Alessandro Falsone , Alessandro Papadopoulos, Maria Prandini

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Journal article

Venue:

Journal of Process Control

DOI:

10.1016/j.jprocont.2017.10.005

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 both 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.

Bibtex

@article{Ioli4915,
author = {Daniele Ioli and Alessandro Falsone and Alessandro Papadopoulos and Maria Prandini},
title = {A compositional modeling framework for the optimal energy management of a district network},
month = {October},
year = {2017},
journal = {Journal of Process Control},
url = {http://www.es.mdu.se/publications/4915-}
}