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oapen-20.500.12657-891402024-04-03T02:24:03Z Chapter Semi-Automatic Workflow for Air-Conditioning System Zoning and Simulation Yang, Yikun Pan, Yiqun Suter, Georg BIM Thermal zoning Generative design HVAC system Performance simulation thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Building information modeling (BIM) shows its potential in the performance driven design, where multiple design solutions are generated and selected against certain design goals. This paper proposes a workflow to generate and simulate multiple thermal zoning schemes toward a semi-automatic design process of air-conditioning (AC) system. Thermal zoning plays a pivotal role in the design thinking of engineers by synthesizing load calculation, equipment sizing, and pipe/duct layout. However, it is often done intuitively with influence on performance unknown at the initial stage. To make it quantitative, we decompose the zoning process into three levels (thermal/control/system) of space aggregation, joining both semantic and numeric characteristics. For the semantic part, space functions are considered by space labeling, accessibility, and adjacency. As to the numeric part, spaces are zoned based on their thermal response similarities, revealed by dynamic mode decomposition on simulated free-float temperature. Then, the system zoning is generated by rolling out convenient distribution network layouts, representing typical fan-coil or variable-air-volume systems. Variables at each level contribute to the "generative" zoning. Based on multiple zoning schemes, the configurations are serialized into EnergyPlus and Modelica inputs for co-simulation. Initial cost, energy consumption, and comfort level of conditioning join together for the zoning evaluation. The entire workflow is implemented in Grasshopper with self-developed plugins 2024-04-02T15:47:44Z 2024-04-02T15:47:44Z 2023 chapter ONIX_20240402_9791221502893_109 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89140 eng Proceedings e report application/pdf n/a 9791221502893_105.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_105 Firenze University Press 10.36253/979-12-215-0289-3.105 10.36253/979-12-215-0289-3.105 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 12 Florence open access
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Building information modeling (BIM) shows its potential in the performance driven design, where multiple design solutions are generated and selected against certain design goals. This paper proposes a workflow to generate and simulate multiple thermal zoning schemes toward a semi-automatic design process of air-conditioning (AC) system. Thermal zoning plays a pivotal role in the design thinking of engineers by synthesizing load calculation, equipment sizing, and pipe/duct layout. However, it is often done intuitively with influence on performance unknown at the initial stage. To make it quantitative, we decompose the zoning process into three levels (thermal/control/system) of space aggregation, joining both semantic and numeric characteristics. For the semantic part, space functions are considered by space labeling, accessibility, and adjacency. As to the numeric part, spaces are zoned based on their thermal response similarities, revealed by dynamic mode decomposition on simulated free-float temperature. Then, the system zoning is generated by rolling out convenient distribution network layouts, representing typical fan-coil or variable-air-volume systems. Variables at each level contribute to the "generative" zoning. Based on multiple zoning schemes, the configurations are serialized into EnergyPlus and Modelica inputs for co-simulation. Initial cost, energy consumption, and comfort level of conditioning join together for the zoning evaluation. The entire workflow is implemented in Grasshopper with self-developed plugins
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