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A novel joint energy and demand management system for smart houses based on model predictive control, hybrid storage system and quality of experience concepts

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  • Luna, José Diogo Forte de Oliveira
  • Naspolini, Amir
  • Reis, Guilherme Nascimento Gouvêa dos
  • Mendes, Paulo Renato da Costa
  • Normey-Rico, Julio Elias

Abstract

The present work introduces a general and novel quality-of-experience-aware energy management system. The said system is designed to be responsible for supervising the operation of a smart house, where it accounts for both economic performance and demand management (DM) actions taking into account user comfort, and adopting a quality of experience (QoE) metric. Considering the availability of distributed generation (DG), smart houses are taken as hybrid nano-grids (NGs), and the Energy Management System (EMS) works as a Nano-Grid-Central Controller. Part of the energy storage in this NG is done using renewable hydrogen, which results in a reduction of pollutant emissions. A Model Predictive Control (MPC) algorithm is the foundation for the proposed smart-house EMS, and its formulation as a mixed-integer quadratic programming (MIQP) optimization problem is given, which avoids the use of nonlinear optimization tools. Validated by simulation, the system achieves the required standards: runs the smart house for a year with a 21% electricity bill reduction and 77% reduction in user discomfort.

Suggested Citation

  • Luna, José Diogo Forte de Oliveira & Naspolini, Amir & Reis, Guilherme Nascimento Gouvêa dos & Mendes, Paulo Renato da Costa & Normey-Rico, Julio Elias, 2024. "A novel joint energy and demand management system for smart houses based on model predictive control, hybrid storage system and quality of experience concepts," Applied Energy, Elsevier, vol. 369(C).
    • Handle: RePEc:eee:appene:v:369:y:2024:i:c:s0306261924008493
    DOI: 10.1016/j.apenergy.2024.123466
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    References listed on IDEAS

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    1. Pata, Ugur Korkut & Ertugrul, Hasan Murat, 2023. "Do the Kyoto Protocol, geopolitical risks, human capital and natural resources affect the sustainability limit? A new environmental approach based on the LCC hypothesis," Resources Policy, Elsevier, vol. 81(C).
    2. Blaschke, Maximilian J., 2022. "Dynamic pricing of electricity: Enabling demand response in domestic households," Energy Policy, Elsevier, vol. 164(C).
    3. Youssef, Heba & Kamel, Salah & Hassan, Mohamed H. & Nasrat, Loai, 2023. "Optimizing energy consumption patterns of smart home using a developed elite evolutionary strategy artificial ecosystem optimization algorithm," Energy, Elsevier, vol. 278(C).
    4. Li, Bingxu & Wu, Bingjie & Peng, Yelun & Cai, Wenjian, 2022. "Tube-based robust model predictive control of multi-zone demand-controlled ventilation systems for energy saving and indoor air quality," Applied Energy, Elsevier, vol. 307(C).
    5. Ahmad, Ashfaq & Khan, Jamil Yusuf, 2020. "Real-Time Load Scheduling, Energy Storage Control and Comfort Management for Grid-Connected Solar Integrated Smart Buildings," Applied Energy, Elsevier, vol. 259(C).
    6. Gao, Yuan & Miyata, Shohei & Akashi, Yasunori, 2023. "Energy saving and indoor temperature control for an office building using tube-based robust model predictive control," Applied Energy, Elsevier, vol. 341(C).
    7. Arroyo, Javier & Manna, Carlo & Spiessens, Fred & Helsen, Lieve, 2022. "Reinforced model predictive control (RL-MPC) for building energy management," Applied Energy, Elsevier, vol. 309(C).
    8. Dehghani-Sanij, A.R. & Tharumalingam, E. & Dusseault, M.B. & Fraser, R., 2019. "Study of energy storage systems and environmental challenges of batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 192-208.
    9. Shashi Sharma & Shivani Agarwal & Ankur Jain, 2021. "Significance of Hydrogen as Economic and Environmentally Friendly Fuel," Energies, MDPI, vol. 14(21), pages 1-28, November.
    10. Blonsky, Michael & McKenna, Killian & Maguire, Jeff & Vincent, Tyrone, 2022. "Home energy management under realistic and uncertain conditions: A comparison of heuristic, deterministic, and stochastic control methods," Applied Energy, Elsevier, vol. 325(C).
    Full references (including those not matched with items on IDEAS)

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