A Close-to-Real-time Energy Management System for Smart Residential Buildings
Paper in proceeding, 2019

This paper proposes a close to real-time energy management system for multi-family residential buildings. The aim of the model is to optimally manage the controllable energy sources in a rolling time window to reduce the total energy cost of the building, considering the time variable electricity prices. A mixed-integer linear programming model is developed to control the washing machines, dishwashers and the energy storage system in a smart building. The performance of the model is evaluated through simulating the operation of an energy management system during one day using the measurement data from a real building located within Chalmers University of Technology campus. The results show that the proposed model can help reduce the building's energy cost by 9% and reduce the peak demand 18.78% using the resource flexibilities in the building, without causing discomfort for the tenants.

Energy Systems


Mohammad Ali Fotouhi Ghazvini

Chalmers, Electrical Engineering, Electric Power Engineering

David Steen

Chalmers, Electrical Engineering, Electric Power Engineering

Anh Tuan Le

Chalmers, Electrical Engineering, Electric Power Engineering

2019 IEEE Milan PowerTech, PowerTech 2019

Vol. 2019 1-6
978-1-5386-4722-6 (ISBN)

13th IEEE PES PowerTech Conference 2019
Milano, Italy,

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Building Futures (2010-2018)


Subject Categories

Energy Systems

Building Technologies

Computer Systems



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