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Aggregated Use of Energy Flexibility in Office Buildings

Author

Listed:
  • João Tabanêz Patrício

    (NOVA School of Science and Technology, 2829-516 Caparica, Portugal)

  • Rui Amaral Lopes

    (NOVA School of Science and Technology, 2829-516 Caparica, Portugal
    Center of Technology and Systems (CTS)—UNINOVA, 2829-516 Caparica, Portugal)

  • Naim Majdalani

    (IN+, IST, Técnico Lisboa, Universidade de Lisboa, 1049-001 Lisboa, Portugal)

  • Daniel Aelenei

    (NOVA School of Science and Technology, 2829-516 Caparica, Portugal
    Center of Technology and Systems (CTS)—UNINOVA, 2829-516 Caparica, Portugal)

  • João Martins

    (NOVA School of Science and Technology, 2829-516 Caparica, Portugal
    Center of Technology and Systems (CTS)—UNINOVA, 2829-516 Caparica, Portugal)

Abstract

Due to climate change consequences, all Member States of the European Union signed an agreement with the goal of becoming the first society and economy with a neutral impact on the planet by 2050. The building sector is one of the highest energy consumers, using 33% of global energy production. Given the global increase for energy demand, implementing energy flexibility strategies is crucial for a better integration of renewable energy sources and a reduction of consumption peaks arising from the electrification of energy demand. The work described in this paper aims to develop an optimization algorithm to use the existing aggregated energy flexibility in office buildings to reduce both the electric energy costs of each office, considering the tariffs applied at each moment and the total power peak, aiming to reduce the entire building’s cost of the contracted power, considering the Portuguese context. The obtained results conclude that it is possible to reduce both the costs associated with electric energy consumption and contracted power. Nevertheless, since the cost of contracted power has a lower impact on the overall energy bill, it is more beneficial to focus only on the reduction of costs associated with electric energy consumption in the considered case study.

Suggested Citation

  • João Tabanêz Patrício & Rui Amaral Lopes & Naim Majdalani & Daniel Aelenei & João Martins, 2023. "Aggregated Use of Energy Flexibility in Office Buildings," Energies, MDPI, vol. 16(2), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:961-:d:1036187
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    References listed on IDEAS

    as
    1. Lopes, Rui Amaral & Martins, João & Aelenei, Daniel & Lima, Celson Pantoja, 2016. "A cooperative net zero energy community to improve load matching," Renewable Energy, Elsevier, vol. 93(C), pages 1-13.
    2. Liu, Mingzhe & Heiselberg, Per, 2019. "Energy flexibility of a nearly zero-energy building with weather predictive control on a convective building energy system and evaluated with different metrics," Applied Energy, Elsevier, vol. 233, pages 764-775.
    3. Hu, Jingfan & Zheng, Wandong & Zhang, Sirui & Li, Hao & Liu, Zijian & Zhang, Guo & Yang, Xu, 2021. "Thermal load prediction and operation optimization of office building with a zone-level artificial neural network and rule-based control," Applied Energy, Elsevier, vol. 300(C).
    4. Aelenei, Daniel & Lopes, Rui Amaral & Aelenei, Laura & Gonçalves, Helder, 2019. "Investigating the potential for energy flexibility in an office building with a vertical BIPV and a PV roof system," Renewable Energy, Elsevier, vol. 137(C), pages 189-197.
    5. Majdalani, Naim & Aelenei, Daniel & Lopes, Rui Amaral & Silva, Carlos Augusto Santo, 2020. "The potential of energy flexibility of space heating and cooling in Portugal," Utilities Policy, Elsevier, vol. 66(C).
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