THERMAL SCIENCE
International Scientific Journal
THERMAL INSULATION PERFORMANCE ANALYSIS OF HIGH RISE BUILDING ENVELOPE BASED ON FINITE ELEMENT ANALYSIS
ABSTRACT
The current analysis method of thermal insulation performance of building envelope neglects the optimization of temperature control parameters, which leads to poor thermal insulation performance, low thermal insulation rate and weak convincing results. Therefore, a finite element analysis method for the thermal insulation performance of high rise building envelope is proposed. Compton backscattering technique is introduced to analyze the influence of the scattering intensity and the ratio of window width on the heat transfer coefficient of the enclosure. Based on the objective function, the thermal performance parameters of retaining wall are calculated and fused. An adaptive iterative optimization method is used to control the thermal performance of the enclosure using the thermal performance parameters of the enclosure. Through the Compton backscatter detection technology, the decision variables of energy consumption of the thermal insulation materials are obtained, and the temperature control parameters of the walls are optimized. The finite element model of enclosure structure is established by using finite element software. The results of finite element model experiments show that the proposed method has ideal heat preservation rate and energy consumption. Compared with the traditional method, the proposed method can keep the preset temperature.
KEYWORDS
PAPER SUBMITTED: 2021-09-11
PAPER REVISED: 2021-11-20
PAPER ACCEPTED: 2022-01-27
PUBLISHED ONLINE: 2022-05-29
THERMAL SCIENCE YEAR
2022, VOLUME
26, ISSUE
Issue 3, PAGES [2361 - 2372]
- Kahsay, M. T., et al., Effect of Localized Exterior Convective Heat Transfer on High-Rise Building Energy Consumption, Building Simulation, 13 (2020), 1, pp. 127-139
- Torres-Rodriguez, A., et al., Thermal Performance Evaluation of a Passive Building Wall with CO2-Filled Transparent Thermal Insulation and Paraffin-Based PCM, Solar Energy, 205 (2020), 3, pp. 1-11
- Tazay, A. F., et al., A Techno-Economic Feasibility Analysis of an Autonomous Hybrid Renewable Energy Sources for University Building at Saudi Arabia, Journal of Electrical Engineering and Technology, 15 (2020), 6, pp. 9-15
- Han, J. T., et al., Study on the Reasonable Insulation Thickness of Exterior Wall in Commercial Buildings, New Building Materials, 45 (2018), 12, pp. 127-130
- Zhao, Y. J., et al., Optimization of Insulation Thickness for Building External Walls in Hot Summer and Cold Winter Zone, Building Science, 33 (2017), 4, pp. 77-84
- Shamsi, M. H., et al., A Framework for Uncertainty Quantification in Building Heat Demand Simulations Using Reduced-Order Grey-Box Energy Models, Applied Energy, 275 (2020), Oct., pp. 115-141
- Maciejewska, B., Piasecka, M., Time-Dependent Study of Boiling Heat Transfer Coefficient in a Vertical Minichannel, International Journal of Nmerical Methods for Heat and Fluid-Flow, 30 (2019), 6, pp. 2953-2969
- Kiyono, T., et al., Laser-Scanning-Based Method for Estimating the Distribution of the Convective-Heat transfer Coefficient on Full-Scale Building Walls, Boundary-Layer Meteorology, 178 (2021), 3, pp 1-24
- Iken, O., et al., Numerical Investigation of Energy Performance and Cost Analysis of Moroccan's Building Smart Walls Integrating Vanadium Dioxide, Solar Energy, 179 (2019), Feb., pp. 249-263
- Terakado, N., et al., Dynamic Control of Heat Flow Using a Spin-Chain Ladder Cuprate Film and an Ionic Liquid, Scientific Reports, 10 (2020), 1, 14468
- Zhang, X., Cheng, F., Comparative Assessment of External and Internal Thermal Insulation for Energy Conservation of Intermittently Air-Conditioned Buildings, Journal of Building Physics, 42 (2019), 4, pp. 568-584
- Huynh, T. T., et al., Wavelet Interval Type-2 Fuzzy Quad-Function-Link Brain Emotional Control Algorithm for the Synchronization of 3-D Non-linear Chaotic Systems, International Journal of Fuzzy Systems, 22 (2020), 8, pp. 1-19
- Li, S., et al., A Knowledge-Enhanced Deep Reinforcement Learning-Based Shape Optimizer for Aerodynamic Mitigation of Wind-Sensitive Structures, Computer-Aided Civil and Infrastructure Engineering, 1199 (2021), Mar., pp. 1-14
- Sun, X., Li, Y., Application of Adaptive Iterative Low-Rank Algorithm Based on Transform Domain in Desert Seismic Signal Analysis, Acta Geodaetica et Geophysica, 55 (2020), 1, pp. 151-162
- Zijl, G., Beer, L. D., Sprayed Strain-Hardening Cement-Based Composite Overlay for Shear Strengthening of Unreinforced Load-Bearing Masonry, Advances in Structural Engineering, 22 (2019), 5, pp. 1121-1135
- Huo, T., et al., Estimating Urban Residential Building-Related Energy Consumption and Energy Intensity in China Based on Improved Building Stock Turnover Model, The Science of the Total Environment, 650 (2019), PT.1(1-834), pp. 427-437
- Cho, H. M., et al., Hygrothermal Properties Analysis of Cross-Laminated Timber Wall with Internal and External Insulation Systems, Journal of Cleaner Production, 231 (2019), Sept., pp. 1353-1363
- Vivekanand, S., Raju, V., Effect of Wall Temperature Modulation on the Heat Transfer Characteristics of Droplet-Train Flow Inside a Rectangular Micro-Channel, Chinese Journal of Chemical Engineering, 28 (2020), 3, pp. 685-697
- Thompson, A. B., et al., Robust Low-Dimensional Modelling of Falling Liquid Films Subject to Variable Wall Heating, Journal of Fluid Mechanics, 877 (2019), pp. 844-881
- Yang, J. W., et al., Assessment of Building External Wall Thermal Performance Based on Temperature Deviation Impact Factor under Discontinuous Radiant Heating, Journal of Thermal Science, 28 (2019), 6, pp. 29-40