This paper summarizes the doctoral research of the first author, discusses the contributions to knowledge, and outlines the initial results. The research proposes a semantic sdriven framework that leverages semantic models to support the scalability of demand flexibility control applications through improved interoperability and portability. The framework is evaluated in a standardized building testing platform, particularly focusing on the portability of a generic load shedding application across two buildings. This research is an important step towards the needed scale of demand flexibility applications, streamlining their development and deployment using minimal manual effort.
BT - Computing in Construction DA - 10/07/2023 DO - 10.35490/ec3.2023.341 N2 -This paper summarizes the doctoral research of the first author, discusses the contributions to knowledge, and outlines the initial results. The research proposes a semantic sdriven framework that leverages semantic models to support the scalability of demand flexibility control applications through improved interoperability and portability. The framework is evaluated in a standardized building testing platform, particularly focusing on the portability of a generic load shedding application across two buildings. This research is an important step towards the needed scale of demand flexibility applications, streamlining their development and deployment using minimal manual effort.
PB - European Council for Computing in Construction PY - 2023 T2 - Computing in Construction T3 - 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference TI - A semantics-driven framework for scalable demand flexibility control applications UR - https://doi.org/10.35490/ec3.2023.341 SN - 2684-1150 ER -