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Split System이 적용된 상업건물의 Energy Simulation을 위한 최적화 기반 모델링 연구

Optimization-based Modeling of Commercial Buildings with Split System for Energy Simulation

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초록

This study optimized building energy models with HVAC split systems based on actual measurement using EnergyPlus and GenOpt. An eight-story commercial building in Seoul was modeled based on drawings, an energy audit, and measured data. The methodology involved investigating DX split systems, selecting modeling methods, and optimizing based on measured data. Three HVAC systems were examined: the ideal loads air system, VRF, and PTAC. The VRF system was modeled with DesignBuilder and simulated in EnergyPlus. Key parameters included thermal conductivity of walls, doors, windows, internal heat gains, infiltration rates, and coefficients of the HVAC performance curve. The optimized total energy matched the measured data, with NMBE decreasing from 25.30% to 0.40% and RMSE decreasing from 1.15 kWh to 0.84 kWh, meeting ASHRAE Guideline 14. However, although the CV (RMSE) decreased from 51.40% to 37.22%, it still did not meet ASHRAE Guideline 14. This study demonstrates the feasibility of using GenOpt to optimize building energy models with HVAC systems in EnergyPlus, which can be used for various research purposes.

Abstract

This study optimized building energy models with HVAC split systems based on actual measurement using EnergyPlus and GenOpt. An eight-story commercial building in Seoul was modeled based on drawings, an energy audit, and measured data. The methodology involved investigating DX split systems, selecting modeling methods, and optimizing based on measured data. Three HVAC systems were examined: the ideal loads air system, VRF, and PTAC. The VRF system was modeled with DesignBuilder and simulated in EnergyPlus. Key parameters included thermal conductivity of walls, doors, windows, internal heat gains, infiltration rates, and coefficients of the HVAC performance curve. The optimized total energy matched the measured data, with NMBE decreasing from 25.30% to 0.40% and RMSE decreasing from 1.15 kWh to 0.84 kWh, meeting ASHRAE Guideline 14. However, although the CV (RMSE) decreased from 51.40% to 37.22%, it still did not meet ASHRAE Guideline 14. This study demonstrates the feasibility of using GenOpt to optimize building energy models with HVAC systems in EnergyPlus, which can be used for various research purposes.

참고문헌 (10)

  1. "Net Zero by 2050 - A Roadmap for the Global Energy Sector" (2023)[URL]
  2. "Input Output Reference"[URL]
  3. Aynur, T. N., "Simulation Comparison of VAV and VRF Air Conditioning Systems in an Existing Building for the Cooling Season", Energy and Buildings, 41(11), pp.1143~1150 (2009)[DOI]
  4. Kang, W. H., "Modeling, Calibration, and Sensitivity Analysis of Direct Expansion AHU-Water Source VRF System", Energy, 199, pp.117435~ (2020)
  5. Hamza, M., "HVAC Systems Evaluation and Selection for Sustainable Office Buildings : An Integrated MCDM Approach", Buildings, 13(7), pp.1847~ (2023)[DOI]
  6. Hasan, A., "Minimization of Life Cycle Cost of a Detached House Using Combined Simulation and Optimization", Energy and Buildings, 48(12), pp.2022~2034 (2008)
  7. Simulation-based Parametric Analysis, Part II: Multi-variate Exhaustive Evaluation of Enclosure Measures for Building 661, Technical Report Submitted To: Greater Philadelphia Innovation Cluster (GPIC) for Energy-Efficient Buildings, "Karaguzel, O. T.", Pennsylvania State University, ~ (2012)
  8. Delgarm, N., "Multi-objective Optimization of the Building Energy Performance : A Simulation-based Approach by Means of Particle Swarm Optimization(PSO)", Applied Energy, 170, pp.293~303 (2016)
  9. "Automated Synoptic Observing System"[URL]
  10. ASHRAE, "ASHRAE Guideline 14-2014, American Society of Heating, Refrigerating and Air-Conditioning Engineers", ~ (2014)

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