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IoT정보기반 Modelica-EnergyPlus Co-simulation을 통한 에너지소비량 추정
김혜진,서동현 한국건축친환경설비학회 2019 한국건축친환경설비학회 논문집 Vol.13 No.5
Conventional detailed building energy modeling tools have limited functionality in a real building modeling. Since a co-simulation modeling for more detailed building energy simulation is getting concerns along with enforced IoT data availability. This co-simulation environment could be applied model predictive building control, continuous commissioning in existing buildings, etc. Since BCVTB and Modelica are introduced in building energy modeling, many researches attempted to combine different building simulation tools and even with actual hardware. In this research, actual building is modeled with EnergyPlus and Modelica and model calibration and validation is implemented with BAS and AMI data that is measured from the building. Occupancy information is derived through LBNL simulator and lighting and equipment information is developed based on the occupancy schedule. AHU and VAV box are modeled in Modelica and then the results (sensible and latent energy of supply air) are passed through FMU into each zone in EnergyPlus. Validation results shows that good agreement according to ASHRAE Guideline 14 but irregular events are not predicted.
FMI를 이용한 RecurDyn과 SimulationX의 휠로더 통합 해석
서준원(June Won Seo),차태로(Tae Ro Cha),최진환(Jin Hwan Choi) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
The construction machinery is a field where CAE is used actively. The purpose of CAE in this field can be divided into two major things. The one is structure including fatigue analysis, and another is performance analysis. Conventionally, structure analysis is achieved by static FEM, and fatigue analysis software. On the other hands, for the performance analysis 1D simulation software is used widely. In the side of structure analysis, driving, and actuating forces are simplified as boundary conditions, on the other hands, in the side of performance analysis, these forces are modeled in detail, but the structure model is simplified in general. If they use advantages of each side together, it would be good for engineers to get much realistic simulation result. For this purpose functional mockup interface (FMI) is appeared. This paper represent FMI example between hydraulic system in SimulationX, and multi body system in RecurDyn for the construction machinery.
NVIDIA 의 GPGPU 를 이용한 수 많은 구형 접촉 입자가 포함된 다물체 동역학 해석
박지수(Ji Soo Park),윤준식(Joon Shik Yoon),최진환(Jin Hwan Choi),임성수(Sung Soo Rhim) 대한기계학회 2012 大韓機械學會論文集A Vol.36 No.4
본 연구에서는 수 많은 입자가 포함된 다물체 동역학 모델을 시뮬레이션 하여 그 결과를 도출하였다. 수 많은 입자들은 GPU 를 적용한 이산 요소법을 이용해 풀었다. 입자들의 Contact Force 를 계산하기 위해 Fast Algorithm 이 적용되었고 계산 속도 향상을 위해 NVIDIA 사의 CUDA 프로그래밍을 하였다. 입자들간의 계산은 Explicit 적분기가 사용되었으며 다물체 동역학은 순환 공식(Recursive Formulation)을 사용 하고 Implicit 적분기를 사용하였다. 입자들과 다물체 사이의 Contact Force 를 동시에 시뮬레이션 하기 위해서 입자동역학과 다물체 동역학의 통합해석을 할 수 있는 알고리즘을 개발하였다. 수치 실험의 예로서 화물트럭의 입자 영향을 알아 보기 위한 화물트럭 모델과 대부분의 동력 전달 장치에 사용되는 기어 모델을 시뮬레이션 하였다. In this study, a dynamic simulation model that considers many spherical particles and multibody dynamics (MBD) entities is developed. Plenteous spherical particles are solved using the Discrete Element Method (DEM) technique and simulated on a GPU board in a PC. A fast algorithm is used to calculate the Hertzian contact forces between many spherical particles, and NVIDIA CUDA is used to increase the calculation speed. The explicit integration method is applied to solve the many spheres. MBD entities are simulated by recursive formulation. Constraints are reduced by recursive formulation, and the implicit generalized alpha method is applied to solve the dynamic model. A new algorithm is developed to simulate the DEM and MBD models simultaneously. As a numerical example, a truck car model and gear model are developed. The results show that the proposed algorithm using a general-purpose GPU in a PC has many advantages.
이재천(J. C. Lee) 유공압건설기계학회 2008 드라이브·컨트롤 Vol.5 No.4
This study presents an analytical model of the pneumatic circuit of an air suspension system to analyze the characteristics of vehicle height control. The analytical model was developed through the co-simulation of Simulink(air spring) and HyPneu(pneumatic circuit). Variant effective area of air spring and flow coefficients of pneumatic valves were estimated experimentally prior to the system test, and utilized in simulation. One-comer test apparatus was established using the components of commercial air suspension products. The results of simulation and experiment were so close that the proposed analytical model in this study was validated. However the frictional loss of conduit and heat dissipation which were ignored in this study need to be considered in future study. As an application example of proposed analytical model, an alternative pneumatic circuit of air suspension to conventional WABCO circuit was evaluated. The comparison of simulation results of WABCO circuit and alternative circuit show that proposed analytical model of co-simulation in this study is useful for the study of pneumatic system of automotive air suspension.