Improving household's efficiency via scheduling of water and energy appliances

Joaquim Leitão, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this work we monitor and study electrical and water consumptions in a home environment in order to reduce its energy costs. To this end, we apply a population-based optimisation algorithm to determine optimal operation schedules for certain appliances in a domestic environment. We propose a criteria function that assesses the performance of an operation schedule for controllable appliances in the household. An optimisation problem is, then, formulated and solved in order to compute the desired operation schedule that minimises this criteria. Particle Swarm Optimisation (PSO) was the algorithm chosen to solve this problem, mainly because of its simple implementation and relatively low computational burden, allowing it to generate (near-optimal) solutions in a feasible time. A fine-tuning of its parameters was promoted. The best computed solutions for a time horizon of one day revealed not only the ability to take advantage of night periods (when energy is cheaper) but also that a positive balance in the electrical bill can be obtained, benefiting from excess photovoltaic energy being sold to the public grid.

Original languageEnglish
Title of host publication13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Proceedings
EditorsCesar Teixeira, Jorge Henriques, Paulo Gil, Alberto Cardoso
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-258
Number of pages6
ISBN (Electronic)9781538653463
DOIs
Publication statusPublished - 29 Oct 2018
Event13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Ponta Delgada, Sao Miguel Island, Azores, Portugal
Duration: 4 Jun 20186 Jun 2018

Conference

Conference13th APCA International Conference on Control and Soft Computing, CONTROLO 2018
CountryPortugal
CityPonta Delgada, Sao Miguel Island, Azores
Period4/06/186/06/18

Keywords

  • Control of Domestic Appliances
  • Home Energy and Water Management
  • Particle Swarm Optimisation

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  • Cite this

    Leitão, J., Gil, P., Ribeiro, B., & Cardoso, A. (2018). Improving household's efficiency via scheduling of water and energy appliances. In C. Teixeira, J. Henriques, P. Gil, & A. Cardoso (Eds.), 13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Proceedings (pp. 253-258). [8514291] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONTROLO.2018.8514291