@article{bibcite_36489,
  author = {Flavia deAndrade Pereira and Kyriakos Katsigarakis and Dimitrios Rovas and Marco Pritoni and Conor Shaw and Lazlo Paul and Anand Prakash and Susana Martin-Toral and Donal Finn and James O{\textquoteright}Donnell},
  title = {A semantics-driven framework to enable demand flexibility control applications in real buildings},
  abstract = {<p>Decarbonising and digitalising the energy sector requires scalable and interoperable Demand Flexibility (DF) applications. Semantic models are promising technologies for achieving these goals, but existing studies focused on DF applications exhibit limitations. These include dependence on bespoke ontologies, lack of computational methods to generate semantic models, ineffective temporal data management and absence of platforms that use these models to easily develop, configure and deploy controls in real buildings. This paper introduces a semantics-driven framework to enable DF control applications in real buildings. The framework supports the generation of semantic models that adhere to Brick and SAREF while using metadata from Building Information Models (BIM) and Building Automation Systems (BAS). The work also introduces a web platform that leverages these models and an actor and microservices architecture to streamline the development, configuration and deployment of DF controls. The paper demonstrates the framework through a case study, illustrating its ability to integrate diverse data sources, execute DF actuation in a real building, and promote modularity for easy reuse, extension, and customisation of applications. The paper also discusses the alignment between Brick and SAREF, the value of leveraging BIM data sources, and the framework{\textquoteright}s benefits over existing approaches, demonstrating a 75\% reduction in effort for developing, configuring, and deploying building controls.</p>},
  year = {2025},
  booktitle = {Advanced Engineering Informatics},
  journal = {Advanced Engineering Informatics},
  series = {Advanced Engineering Informatics},
  volume = {64},
  pages = {103049},
  month = {03/2025},
  institution = {Elsevier BV},
  publisher = {Elsevier BV},
  issn = {1474-0346},
  url = {https://doi.org/10.1016/j.aei.2024.103049},
  doi = {10.1016/j.aei.2024.103049},
}