TY - GEN
T1 - OpenBuildNet framework for distributed co-simulation of smart energy systems
AU - Nghiem, Truong X.
AU - Bitlislioǧlu, Altuǧ
AU - Gorecki, Tomasz
AU - Qureshi, Faran A.
AU - Jones, Colin N.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - The complexity and diversity of future energy systems will require co-simulation solutions that enable the integration of tools from multiple domains for research and development. We introduce an open-source framework, OpenBuildNet, for distributed co-simulation of large-scale smart energy systems. Using a loose-coupling approach to co-simulate parallel processes, it can leverage and seamlessly integrate specialized simulation and computation tools in a common platform. Users can therefore benefit from the capabilities of state-of-the-art and widely used tools in each domain. OpenBuildNet is scalable and highly flexible as it uses a decentralized architecture, message-based communication, and peer-to-peer data exchange between subsystem nodes. It also provides a set of easy-to-use software tools tailored for researchers and engineers. This paper presents the architecture and tool suite of OpenBuildNet, and demonstrates its usefulness in a case study of controlling multiple buildings for demand response.
AB - The complexity and diversity of future energy systems will require co-simulation solutions that enable the integration of tools from multiple domains for research and development. We introduce an open-source framework, OpenBuildNet, for distributed co-simulation of large-scale smart energy systems. Using a loose-coupling approach to co-simulate parallel processes, it can leverage and seamlessly integrate specialized simulation and computation tools in a common platform. Users can therefore benefit from the capabilities of state-of-the-art and widely used tools in each domain. OpenBuildNet is scalable and highly flexible as it uses a decentralized architecture, message-based communication, and peer-to-peer data exchange between subsystem nodes. It also provides a set of easy-to-use software tools tailored for researchers and engineers. This paper presents the architecture and tool suite of OpenBuildNet, and demonstrates its usefulness in a case study of controlling multiple buildings for demand response.
UR - http://www.scopus.com/inward/record.url?scp=85015213930&partnerID=8YFLogxK
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U2 - 10.1109/ICARCV.2016.7838701
DO - 10.1109/ICARCV.2016.7838701
M3 - Conference contribution
AN - SCOPUS:85015213930
T3 - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
BT - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Y2 - 13 November 2016 through 15 November 2016
ER -