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RISS 인기검색어
- 검색키워드
- 저자 : 강경혁(Gyeonghyeok Kang) (검색결과 4 건)
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디지털트윈 기반 건물의 에너지 관리 최적화를 위한 간이장치를 통한 축소차수모델 검증
강경혁(Gyeonghyeok Kang),차경환(Kyunghwan Cha),이명성(Myungsung Lee),김주한(Joo-Han Kim) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Recently power consumption in data centers is increasing due to the introduction of high-performance IT (Information Technology) equipment. Cooling energy consumption of data centers is 40% of the total, which is a large proportion, and it is necessary to develop a management system to reduce it. A digital twin is a virtual representation that embodies the real space in the digital space. Through a real-time management system applying digital twin, it is possible to predict the change in previously and also optimized air conditioning control is possible. In the present study, a simplified device was built to verify the reduced-order model in previous, to study on optimizing energy management of buildings based on digital twins. The simplified device consists of a single channel containing a fan, sensors and heating elements. The sensors is measuring the actual temperature data at the inlet and outlet of simple device. The measured inlet temperature data is applied to the digital twin system model by Ansys Twin Builder, a commercial software, and the reduced-order model can predict the outlet temperature in real time through the accumulated data. The accuracy of the digital twin system was verified with a one-dimensional model through Modelica. As a result of applying the reduced-order model to the verified digital twin system, an error occurred of 0.9% based on the maximum wind speed of 2.5 m/s, and the trend of the overall predicted value according to the wind speed was similar to the actual measured value.
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디지털트윈 기반 건물의 에너지 관리 최적화를 위한 간이장치를 통한 축소차수모델 검증
강경혁(Gyeonghyeok Kang),차경환(Kyunghwan Cha),이명성(Myungsung Lee),김주한(Joo-Han Kim) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Recently power consumption in data centers is increasing due to the introduction of high-performance IT (Information Technology) equipment. Cooling energy consumption of data centers is 40% of the total, which is a large proportion, and it is necessary to develop a management system to reduce it. A digital twin is a virtual representation that embodies the real space in the digital space. Through a real-time management system applying digital twin, it is possible to predict the change in previously and also optimized air conditioning control is possible. In the present study, a simplified device was built to verify the reduced-order model in previous, to study on optimizing energy management of buildings based on digital twins. The simplified device consists of a single channel containing a fan, sensors and heating elements. The sensors is measuring the actual temperature data at the inlet and outlet of simple device. The measured inlet temperature data is applied to the digital twin system model by Ansys Twin Builder, a commercial software, and the reduced-order model can predict the outlet temperature in real time through the accumulated data. The accuracy of the digital twin system was verified with a one-dimensional model through Modelica. As a result of applying the reduced-order model to the verified digital twin system, an error occurred of 0.9% based on the maximum wind speed of 2.5 m/s, and the trend of the overall predicted value according to the wind speed was similar to the actual measured value.
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수직 원심 펌프 시스템의 실시간 성능 예측을 위한 축소차수모델 기반 디지털트윈 구축
강경혁(Gyeonghyeok Kang),김수현(Soohyun Kim),차경환(Kyunghwan Cha),이명성(Myungsung Lee),김주한(Joo-Han Kim) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.11
A vertical centrifugal pump is widely used in building water supply and HVAC systems, and improving energy efficiency is a key issue. However, in real-world buildings, energy demands occur irregularly over time due to various environmental conditions. To ensure the efficient operation of the pump system, it is essential to accurately match the energy demand required at the time. In this study, a reduced-order model based digital twin was developed to predict real-time performance of a vertical centrifugal pump system. A digital twin accurately reflects the real-world environment in a digital space, allowing for simulation and optimization, and is a core tool for monitoring and interpreting the pump system in real time. To build the digital twin system, the commercial program ANSYS Twin Builder was used. The virtual pump system was modeled similarly to the real pump system utilizing a reduced-order model and Modelica. Virtual sensor data for head, flow rate, shaft power and efficiency were calculated according to real-time operating conditions. To verify the accuracy of the digital twin, we compared measured data and virtual sensor data, and they are in good agreement.
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다중이용건물의 실내 공조 실시간 예측을 위한 축소차수모델
차경환(Kyunghwan Cha),강경혁(Gyeonghyeok Kang),이명성(Myungsung Lee),김주한(Joo-Han Kim) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.11
To build a simulation-based digital twin, rapid result prediction through simulation technology is essential. Reduced-order models are being increasingly used for a wide range of predictions, offering high-fidelity results quickly once sufficient data is available. To apply a reduced order model for predicting indoor HVAC in multi-use buildings, validation of simulation methods in necessary. For simulation validation, we divided the testbed area based on sensor measurement data, calculating HVAC loads for each zone, which were then incorporated into the simulations. By applying measurement data as input conditions for the simulations, we conducted simulations for ten cases and performed temperature comparisons. The results of comparing the simulations with measurement data confirmed that highly accurate predictions with an error rate within 7% are achievable. Furthermore, we defined parameter ranges based on equipment capacity calculations and seasonal operational data, conducting analyses for a total of 260 cases to create a reduced order model.
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