All Issue

2024 Vol.18, Issue 3 Preview Page

Research Article

Simplification and Training of Models in TRNSYS Environment for Assessing Monthly Annual Energy Performance: A Simulation Case Study for Heating and Cooling of an Office Public Building with Solar PVT and Heat Pump System

TRNSYS 환경에서 모델 단순화와 학습을 통한 월별 연간 에너지 성능 평가: 태양광열 적용 사무용 공공건물의 히트펌프 냉난방 시뮬레이션 사례 분석

Kyoung-Ho Lee1*
,
Hong-Jin Joo2
,
Young-Sub An3
,
Wang-Je Lee4
이 경호1*
,
주 홍진2
,
안 영섭3
,
이 왕제4
1Principal Researcher, Renewable Energy System Laboratory, Renewable Energy Research Institute, Korea Institute of Energy Research, Daejeon, Korea
2Senior Researcher, Renewable Energy System Laboratory, Renewable Energy Research Institute, Korea Institute of Energy Research, Daejeon, Korea
3Senior Research Engineer, Renewable Energy System Laboratory, Renewable Energy Research Institute, Korea Institute of Energy Research, Daejeon, Korea
4Research Engineer, Renewable Energy System Laboratory, Renewable Energy Research Institute, Korea Institute of Energy Research, Daejeon, Korea
1한국에너지기술연구원 재생에너지연구소 신재생시스템연구실 책임연구원
2한국에너지기술연구원 재생에너지연구소 신재생시스템연구실 선임연구원
3한국에너지기술연구원 재생에너지연구소 신재생시스템연구실 선임기술원
4한국에너지기술연구원 재생에너지연구소 신재생시스템연구실 기술원
*Corresponding Author
30 June 2024. pp. 192-210
PDF XML Citation
Abstract

The study represent a method to predict monthly annual energy performance of buildings is proposed by using short-term data to train models for building energy systems, followed by predicting monthly annual energy performance. The building energy system model is simplified in the TRNSYS environment to reduce parameters. A simulation case study for an office building was conducted using TRNSYS detailed models to generate data for training the simplified model. Training periods ranged from 2 to 8 weeks, covering heating and cooling periods. Annual net energy performance was defined by subtracting solar PVT module electricity production from heat pump electricity consumption. Weather information was assumed to be accurately known. The building energy system in this case study mainly comprised an air-source heat pump system, solar PVT modules, ground heat exchangers, a buffer thermal storage tanks and water-to-air heat exchangers and so on. Target elements for model simplifications included building thermal load, heat pump COP, electrical and thermal efficiency of solar PVT modules, and ground heat exchangers. Specifically, the building model was simplified from numerous parameters for Type 56 to four parameters for Type 88 lumped building model. Results of the proposed method showed over 90% accuracy with more than 6 weeks of training data based on NMBE error. The simplified model method can be applied when sufficient data for extended periods are unavailable, enabling prediction of monthly annual energy performance over long periods. Further studies should focus on training and evaluating using actual building data and improving the simplified model.

Keywords
Model simplification
Model training
Short-term training
Mid and Long-term assessment
TRNSYS simulation model
키워드
모델 단순화
모델 학습
단기 학습
중장기 평가
TRNSYS 시뮬레이션 모델
References
1

Bae, M., Ahn, H., Yun, S., Kang, J. (2022). ZEB green remodeling application plan and case-study through existing public buildings. J. of the Korean Solar Energy Society, 42(6), 93-104.

10.7836/kses.2022.42.6.093
2

Gonzales-Torres, M., Perez-Lombard, L., Coronel, J.F., Maestre, I.R., Yan, D. (2022). A review on buildings energy information: Trends, end-uses, fuels and drivers. Energy Reports, 8, 626-637.

10.1016/j.egyr.2021.11.280
3

Ha, S.W., Jang, W.S., Kim, E.-J. (2022). TRNSYS simulation method of a VRF heat pump for detailed energy analysis. Korean J. of Air-Conditioning and Refrigeration Engineering, 34(2), 75-82.

10.6110/KJACR.2022.34.2.075
4

Hong, W.-P. (2015). Analysis of energy performance energy saving with geothermal heat pump system using TRNSYS program in a large scale shopping store. J. of the Korean Institute of Illuminating and Electrical Engineers, 29(1), 47-56.

10.5207/JIEIE.2015.29.1.047
5

Kim, J.H., Ahn, J. (2021). Dynamic simulation of system performance and indoor thermal environment under hybrid desiccant cooling according to outdoor conditions using TRNSYS. Trans. Korean Soc. Mech. Eng. B., 45(5), 271-280.

10.3795/KSME-B.2021.45.5.271
6

Kim, J.-H., Yu, J.-S., Kim, J.-H., Kim, J.-T. (2022). Energy performance analysis of green-remodeling for public buildings under 500㎡, J. of the Korean Solar Energy Society, 42(3), 87-101.

10.7836/kses.2022.42.3.087
7

Lee, B., Kim, D. (2017). A study on green retrofit effects and value assessment for a public building. J. of KIAEBS, 11(2), 155-161.

8

Lee, H.S., Choi, G.-S. (2022). A study on energy consumption analysis according to green remodeling of public buildings. J. Korean Soc. Living Environ. Sys., 29(6), 694-701.

10.21086/ksles.2022.12.29.6.694
9

Lee, S.-J., Yoo, Y.-S., Park, C.-S., (2022). Comparison of deterministic and stochastic approaches in building energy demands -Focused on usage profiles. J. of the Architectural Institute of Korea, 38(8), 213-219.

10

Lim, H.-B., Lee, K.-H., Kong, M.-S., Seo, D.-H. (2019). A model calibration for residential building energy simulation: A case study with TRNSYS and optimization tool GenOpt. J. of KIAEBS, 13(4), 234-245.

11

Lim, H.W., Lee, W.J., Shin, U.C. (2023). Thermal performance analysis of a hybrid solar-assisted GSHP heating system in a greenhouse using TRNSYS. Korean J. of Air-Conditioning and Refrigeration Engineering, 35(6), 286-298.

10.6110/KJACR.2023.35.6.286
12

Naranjo-Mendoza, C., Oyinlola, M., Wright, A., Greenough, R. (2019). Experimental study of a domestic solar-assisted ground source heat pump with seasonal underground thermal energy storage through shallow boreholes, Applied Thermal Engineering, 162, 114218.

10.1016/j.applthermaleng.2019.114218
13

Oh, J.H., Son, Y.I., Kim, E.-J. (2023). Development of a grey-box based building load model using TRNSYS components. Korean J. of Air-Conditioning and Refrigeration Engineering, 35(10), 487-496.

10.6110/KJACR.2023.35.10.487
14

Persson, H., Perers, B., Carlsson, B. (2011). Type 12 and Type 56: a load structure comparison in TRNSYS, World Renewable Energy Congress 2011, Sweden, 8-13 May 2011.

10.3384/ecp110573789
15

ASHRAE. (2008). User's manual for ANSI/ASHRAE/ESNA Standard 90.1-2007.

16

ASHRAE. (2014). ASHRAE Guideline I4-2014. Measurement of energy, demand and water savings, ASHRAE, 2014.

17

Department of Energy (DOE). (2015). M&V Guidelines: Measurement and verification for performance-based contracts, Version 4.0, 2015, FEMP, DOE.

18

ECO2. (2021). Building energy efficiency rating certification program. Available at: https://beec.energy.or.kr/BC/BC04/BC04_05_002.do?no=6 [Accessed on 09/05/2024].

19

EnergyPlus. (2024). Whole building energy simulation program, Available at: https://energyplus.net/ [Accessed on 09/05/2024].

20

GenOpt. (2021). Genetic Optimization Program, Simulation Research, Lawrence Berkeley National Laboratory, Available at: https://simulationresearch.lbl.gov/GO/ [Accessed on 14/06/2024].

21

Green Remodeling Center. (2024). Available at: https://www.greenremodeling.or.kr/ [Accessed on 11/04/2024].

22

TRNSYS 18. (2003). A TRaNsient SYstems Simulation Program, University of Wisconsin at Madison, Solar Energy Laboratory. Available at: https://sel.me.wisc.edu/trnsys/ [Accessed on 09/05/2024].

Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 18
  • No :3
  • Pages :192-210
  • Received Date : 2024-05-11
  • Revised Date : 2024-06-12
  • Accepted Date : 2024-06-13
  • DOI :https://doi.org/10.22696/jkiaebs.20240017
Journal Informaiton Journal of Korean Institute of Architectural Sustainable Environment and Building Systems Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
Manuscript Submission
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close