• 제목/요약/키워드: TRNSYS simulation model

검색결과 37건 처리시간 0.032초

트랜시스를 이용한 지열 응답 함수 경계 조건 검증 및 시뮬레이션 모델 개발에 관한 연구 (Verification of the Boundary Conditions Used for Generating g-functions and Development of a TRNSYS Simulation Model Using g-functions)

  • 김의종
    • 설비공학논문집
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    • 제26권9호
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    • pp.416-423
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    • 2014
  • To verify different boundary conditions on the borehole wall, which are commonly used for generating g-function, the well-known TRNSYS simulation model, DST (Duct STorage), is employed. By letting the fluid circulation determine the borehole wall conditions, a DST-based g-function is induced with numerical processes proposed in this work. A new TRNSYS module is also developed to accommodate g-function data and predict dynamic outlet fluid temperatures. Results showed that the modified g-function, which is different from Eskilson's original g-function, is closer to the DST-based g-function. This implies that the uniform heat transfer rates over the height can be used for good approximation. In fact, simulations with the modified g-function showed similar results as the DST model, while Eskilson g-function case deviated from the DST model as time progressed.

동적시뮬레이션을 위한 시스템 멀티에어컨의 모델링 (Modelling of System Air-Conditioner for Dynamic Simulation)

  • 이윤종;김찬중;문제명;김철우;서형준;김경록;신행조;홍희기
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2007년도 동계학술발표대회 논문집
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    • pp.328-333
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    • 2007
  • The purpose of this study is modelling of system air-conditioner for TRNSYS. System air-conditioner is operated by a variable capacity compressor and accommodated by multiple evaporators. By reason of these feature, realizing performance of system air-conditioner for TRNSYS was incomplete. In this study performance data of system air-conditioner and control logics are used to make system air-conditioner module for TRNSYS. Performance data contains total capacity, power input and capacity index of system air-conditioner. The simulation was carried out in a mode of temperature level control using TRNSYS 16. The simulation shows that the system air-conditioner model operate variable capacity and can compute capacity index and power input of system.

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RETScreen 모델이용 태양열온수시스템 초기설계단계 설계용량 최적화기법의 TRNSYS 모델과의 비교분석 (Comparative Study on Size Optimization of a Solar Water Heating System in the Early Design Phase Using a RETScreen Model with TRNSYS Model Optimization)

  • 이경호
    • 설비공학논문집
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    • 제25권12호
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    • pp.693-699
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    • 2013
  • This paper describes a method for size optimization of the major design variables for solar water heating systems at the stage of concept design. The widely used RETScreen simulation tool was used for optimization. Currently, the RETScreen tool itself does not provide a function for optimization of the design parameters. In this study, an optimizer was combined with the software. A comparative study was performed to evaluate the RETScreen-based approach with the case study of a solar heating system in an office building. The optimized results using the RETScreen model were compared to previously published results with the TRNSYS model. The objective function of the optimization is the life-cycle cost of the system. The optimized design results from the RETScreen model showed good agreement with the optimized TRNSYS results for the solar collector area and storage volume, but presented a slight difference for the collector slope angle in terms of the converged direction of the solutions. The energy cost, life-cycle cost, and thermal performance regarding collector efficiency, system efficiency, and solar fraction were compared as well, and the RETScreen model showed good agreement with the TRNSYS model for the conditions of the base case and optimized design.

태양열 냉.난방시스템의 열성능 분석 (Analysis of Thermal Performance of a Solar Heating & Cooling System)

  • 곽희열;신우철
    • 한국태양에너지학회 논문집
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    • 제28권4호
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    • pp.43-49
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    • 2008
  • The purpose of this study is to present the simulation results and an overview of the performance assessment of a solar heating & cooling system by means of the $200m^2$ evacuated tube solar collector. The simulation was carried out using the thermal simulation code TRNSYS with new model of a single-effect LiBr/$H_{2}O$ absorption chiller developed by this study. The calculation was performed for yearly long-term thermal performance and for two design factors: the solar hot water storage tank and the cold water storage tank. As a result, it was anticipated that the yearly mean system efficiency is 46.7% and the solar fraction for the heating, cooling and hot water supply are about 84.4 %, 41.7% and 72.4%, respectively.

BES 프로그램을 이용한 온실의 에너지 관리 (A Review of Greenhouse Energy Management by Using Building Energy Simulation)

  • 아드난 라쉬드;이종원;이현우
    • 생물환경조절학회지
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    • 제24권4호
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    • pp.317-325
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    • 2015
  • 본 논문에서는 온실작물 생육에 적절한 미기상환경을 제공하기 위한 최적의 조건을 찾아내기 위하여 TRNSYS 프로그램을 이용하여 온실의 구조 및 환경인자와 에너지공급기술들에 대하여 시뮬레이션을 실시한 연구논문들을 분석하였다. 본 연구의 목적은 온실에너지 관리를 위해 사용되고 있는 여러 가지 에너지시스템과 기술들에 관하여 검토하고 이들에 대해 TRNSYS 시뮬레이션을 통해 실시한 효율분석에 관하여 검토하는 것이다. 사용가능한 에너지자원과 다양한 외부기상조건에 따른 에너지절감기술들의 성능을 분석하기 위한 여러가지 시뮬레이션 모델들에 대해서도 검토하였다. 사용자가 정의하는 인자들을 사용하여 하이브리드 농업시설을 시뮬레이션 할 수 있는 TRNSYS 프로그램의 주요 구조들을 찾아내었다. 문헌검토에서 얻어진 결과를 토대로 TRNSYS 프로그램을 이용하여 온실의 에너지관리를 위한 시뮬레이션 모델을 개발하는데 필요한 몇 가지 중요한 결론들을 도출하였다. TRNSYS 프로그램은 앞으로 온실의 에너지 시뮬레이션을 수행하는데 크게 활용될 것으로 기대된다.

지열 이용 히트펌프 시스템의 열성능 해석 (Analysis of Thermal Performance of Ground-Source Heat Pump System)

  • 신우철;백남춘;김욱중;고득용
    • 한국태양에너지학회 논문집
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    • 제26권2호
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    • pp.95-101
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    • 2006
  • The purpose of this study is to present the simulation results and an overview of the performance assessment of the Ground-Source Heat Pump(GSHF) system. The calculation was performed for two design factors: the spacing between boreholes and the depth of the vertical ground heat exchangers. And the simulation was carried out using the thermal simulation code TRNSYS with new model of water to water heat pump developed by this study. As a result, it was anticipated that the yearly mean COPs of heat pump for heating and cooling are about 3.7 and 5.8 respectively and the heat pump can supply 100% of heating and cooling load all the year around.

자연 대류형 태양열 온수기 최적 설계에 관한 연구 (Optimum Design of Thermosyphon Solar Hot Water System)

  • 강용혁;곽희열;이동규;강명철
    • 태양에너지
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    • 제18권4호
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    • pp.59-66
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    • 1998
  • It was compared with experimental data to verify TRNSYS Model of the thermosyphon hot water system and the various simulations were conducted to optimize the component parameters of the system. To obtain consistent simulation results the system model, which could accurately describ the thermal storage tank temperature stratification and the friction head for mass flow rate, was used. The optimization of collector parameters(collector aspect ratio, riser numbers per header unit length), thermal storage tank parameters(ratio of tank length to tank diameter, heat exchanger type), system parameters(ratio of tank volume to collector area) was simulated by TRNSYS program. The simulation results indicate that the system performance is more effected by collector aspect ratio and the ratio of tank volume to collector area than the othor parameters.

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지열 이용 열펌프 시스템의 열성능 해석 (Analysis of Thermal Performance of Ground-Source Heat Pump System)

  • 고득용;신우철;백남춘;김욱중
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2005년도 동계학술발표대회 논문집
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    • pp.167-172
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    • 2005
  • The purpose of this study is to present the simulation results and an overview of the performance assessment of the Ground-Source Heat Pump(GSHP) system. The calculation was performed for two design factors. the spacing between boreholes and the depth of the vertical ground heat exchangers. And the simulation was carried out using the thermal simulation code TRNSYS with new model o( water to water heat pump developed by this study. As a result, it was anticipated that the yearly mean COPs of heat pump for heating and cooling are about 3.7 and 5.8 respectively and the heat pump can supply 100% of heating and cooling load all the year around.

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순환여과식 양식장 해수 열원 히트펌프 시스템의 전력 소비량 예측을 위한 인공 신경망 모델 (Power consumption prediction model based on artificial neural networks for seawater source heat pump system in recirculating aquaculture system fish farm)

  • 정현석;류종혁;정석권
    • 수산해양기술연구
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    • 제60권1호
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    • pp.87-99
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    • 2024
  • This study deals with the application of an artificial neural network (ANN) model to predict power consumption for utilizing seawater source heat pumps of recirculating aquaculture system. An integrated dynamic simulation model was constructed using the TRNSYS program to obtain input and output data for the ANN model to predict the power consumption of the recirculating aquaculture system with a heat pump system. Data obtained from the TRNSYS program were analyzed using linear regression, and converted into optimal data necessary for the ANN model through normalization. To optimize the ANN-based power consumption prediction model, the hyper parameters of ANN were determined using the Bayesian optimization. ANN simulation results showed that ANN models with optimized hyper parameters exhibited acceptably high predictive accuracy conforming to ASHRAE standards.

마이크로터빈이 포함된 빌딩마이크로그리드시스템의 병원건물의 에너지성능평가 (Energy Performance Evaluation of Building Micro-grid System Including Micro-turbine in Hospital Buildings)

  • 김병수;홍원표
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2009년도 추계학술대회 논문집
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    • pp.279-283
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    • 2009
  • Distributed generation(DG) of combined cooling, heat. and power(CCHP)has been gaining momentum in recent year as efficient, secure alternative for meeting increasing energy demands. This paper presents the energy performance of microturbine CCHP system equipped with an absorption chiller by modelling it in hospital building. The orders of study were as following. 1)The list and schedule of energy consumption equipment in hospital were examined such as heating and cooling machine, light etc. 2) Annual report of energy usage and monitoring data were examined as heating, cooling, DHW, lighting, etc. 3) The weather data in 2007 was used for simulation and was arranged by meteorological office data in Daejeon. 4) Reference simulation model was built by comparison of real energy consumption and simulation result by TRNSYS and ESP-r. The energy consumption pattern of building were analyzed by simulation model and energy reduction rate were calculated over the cogeneration. As a result of this study, power generation efficiency of turbine was about 30% after installing micro gas turbine and lighting energy as well as total electricity consumption can be reduced by 40%. If electricity energy and waste heat in turbine are used, 56% of heating energy and 67% of cooling energy can be reduced respectively, and total system efficiency can be increased up to 70%.

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