Domestic appliances energy optimization with model predictive control

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Rodrigues, EMG (Author) Other; Godina, R (Author) Other; Pouresmaeil, E (Author) Other; José Rui da Rocha Pinto Ferreira (Author) FEUP; Catalao, JPS (Author) FEUP

Journal

Title: Energy Conversion and Management

Vol. 142

Pages: 402-413

ISSN: 0196-8904

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 36 Citations

Scopus - 42 Citations

Other information

Authenticus ID: P-00M-KMJ

DOI: 10.1016/j.enconman.2017.03.061

Abstract (EN): A vital element in making a sustainable world is correctly managing the energy in the domestic sector. Thus, this sector evidently stands as a key one for to be addressed in terms of climate change goals. Increasingly, people are aware of electricity savings by turning off the equipment that is not been used, or connect electrical loads just outside the on-peak hours. However, these few efforts are not enough to reduce the global energy consumption, which is increasing. Much of the reduction was due to technological improvements, however with the advancing of the years new types of control arise. Domestic appliances with the purpose of heating and cooling rely on thermostatic regulation technique. The study in this paper is focused on the subject of an alternative power management control for home appliances that require thermal regulation. In this paper a Model Predictive Control scheme is assessed and its performance studied and compared to the thermostat with the aim of minimizing the cooling energy consumption through the minimization of the energy cost while satisfying the adequate temperature range for the human comfort. In addition, the Model Predictive Control problem formulation is explored through tuning weights with the aim of reducing energetic consumption and cost. For this purpose, the typical consumption of a 24 h period of a summer day was simulated a three-level tariff scheme was used. The new contribution of the proposal is a modulation scheme of a two-level Model Predictive Control's control signal as an interface block between the Model Predictive Control output and the domestic appliance that functions as a two-state power switch, thus reducing the Model Predictive Control implementation costs in home appliances with thermal regulation requirements.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12