Multi-criteria decision making of integrating thermal comfort with energy utilization coefficient under different air supply conditions based on human factors and 13-value thermal comfort scale

Wan, Taocheng; Bai, Yan; Wu, Lulu; He, Yine

doi:10.1016/j.jobe.2021.102249

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…The AUI concept is an analogy from the energy utilization coefficient (EUC) in the field of air conditioning, which can characterize the energy efficiency of the airflow distribution mode. EUC is determined as the ratio of the difference in supply and exit air temperatures to the difference in supply and indoor air temperatures [41]. A higher EUC shows that the supply air is used more efficiently to warm the occupied zone, leading to greater energy efficiency [42].…”

Section: Governing Equationsmentioning

confidence: 99%

A Quantitative Analysis on Key Factors Affecting the Thermal Performance of the Hybrid Air-Based BIPV/T System

Guo

Jin

et al. 2022

Buildings

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Air-based BIPV/T is of significant research interest in reducing energy load and improving indoor comfort. As many factors related to meteorology, geometry and operation contribute to the thermal performance of BIPV/T, especially for one kind of hybrid air-based BIPV/T (HAB-BIPV/T), quantifying the effects of such uncertain parties is essential. In this paper, a numerical analysis was conducted regarding 13 parameters of one HAB-BIPV/T prototype. For each quantity of interest, the kernel density estimate was regarded as an approximation to the probability density function to assess uncertainty propagation. A sequential sensitivity analysis was used to quickly screen (by Morris) and exactly quantify (by Sobol’) the effects of significant variables. The surrogate model based on a back propagation neural network was employed to dramatically reduce the computational cost of Monte Carlo analysis. The results show that the uncertain inputs discussed can induce considerable fluctuations in the three quantities of interest. The most significant parameters on AUI include air inlet height, cavity thickness, air inlet velocity and number of air inlets. The outcomes of this study provide insights into the correlation between various factors and the thermal efficiency of the HAB-BIPV/T as a reference for similar design works.

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Section: Governing Equationsmentioning

confidence: 99%

A Quantitative Analysis on Key Factors Affecting the Thermal Performance of the Hybrid Air-Based BIPV/T System

Guo

Jin

et al. 2022

Buildings

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“…For the energy efficiency and thermal comfort of a target classroom environment, Taylor et al [27] investigated the effect of three indoor environmental parameters including air velocity, humidity, and air temperature. Wan et al [28] discussed the influence on ventilation performance of human factors caused by the supply vane angle and supply air temperature. Jagadeesh et al [29] used CFD as a stimulus of the existing ventilation, no ventilation, and additional ventilation in the classroom and the results when compared with experimental data showed that the room temperature would be at a comfortable level with the provision of additional vents in the classroom.…”

Section: Introductionmentioning

confidence: 99%

Case Study: Impacts of Air-Conditioner Air Supply Strategy on Thermal Environment and Energy Consumption in Offices Using BES–CFD Co-Simulation

Wang

Gao

et al. 2023

Sensors

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Due to energy constraints and people’s increasing requirements for indoor thermal comfort, improving energy efficiency while ensuring thermal comfort has become the focus of research in the design and operation of HVAC systems. This study took office rooms with few people occupying them in Wuhan as the research object. The EnergyPlus-Fluent co-simulation method was used to study the impact of 12 forms of air distribution on the thermal environment and air-conditioner energy consumption. The results indicate that 3 m/s supply air velocity and 45° supply air angle are more suitable for the case model in this study. The EnergyPlus-Fluent co-simulation method used in this paper provides a reference for the study of indoor environments in offices with few people occupying them.

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“…Bai et al [17] conducted an experiment to study the influence of the metabolic rate on local thermal sensations and overall thermal sensation and found that the thermal sensation of occupants with different metabolic rates were different. Wan et al [18] showed that the difference between male and female metabolic rate was 1.22 W/m 2 and, compared with the indoor air temperature required by the male group, the indoor air temperature required by the female group needs to be increased by 2.27 • C to maintain better thermal comfort, which required more energy. This indicated that considering the small difference in metabolic rates is necessary for building energy saving, and ventilation performance cannot be well optimized considering only one metabolic rate.…”

Section: Introductionmentioning

confidence: 99%

A Combinatorial Optimization Strategy for Performance Improvement of Stratum Ventilation Considering Outdoor Weather Changes and Metabolic Rate Differences: Energy Consumption and Sensitivity Analysis

Bai

Wei

2023

Sustainability

Self Cite

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Since occupants spend most of their time indoors, an energy-saving and comfortable indoor environment are particularly important. The differences in the metabolic rate of occupants make them have different requirements for their thermal environment. To save energy under the comprehensive needs of occupants for thermal environment, the combinatorial optimization strategy based on NSGA-II and improved the TOPSIS method is proposed in this study. Firstly, the physical model of the CFD simulation is verified by experiments. Secondly, the specific operation cases corresponding to combinations of different levels of factors are determined via the RSM method, and the ventilation performance prediction model considering the metabolic rate differences and outdoor weather changes is established. Thirdly, supply air velocities and temperatures are optimized by using Pareto-based NSGA-II; the Pareto optimal solution set under different outdoor temperatures is obtained. Finally, based on the Pareto optimal solutions at different outdoor temperatures, the optimal strategy under dynamic outdoor air temperature is obtained by improved TOPSIS by the CRITIC method. The optimization of ventilation parameters significantly improved the ventilation performance, and the results show that the predicted mean vote, energy consumption, vertical air temperature difference between head and ankle levels and the local mean age of air for different metabolic rates decrease by 64.1%, 4.74%, 24.83% and 7.39% on average, respectively. Moreover, the relative energy saving rate increases as the metabolic rate increases, and the strategy facilitates adaptation to outdoor weather changes and meets the individual needs of occupants for the indoor environment. This has important implications for achieving the global goal of energy efficiency and emission reduction.

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Multi-criteria decision making of integrating thermal comfort with energy utilization coefficient under different air supply conditions based on human factors and 13-value thermal comfort scale

Cited by 8 publications

References 25 publications

A Quantitative Analysis on Key Factors Affecting the Thermal Performance of the Hybrid Air-Based BIPV/T System

A Quantitative Analysis on Key Factors Affecting the Thermal Performance of the Hybrid Air-Based BIPV/T System

Case Study: Impacts of Air-Conditioner Air Supply Strategy on Thermal Environment and Energy Consumption in Offices Using BES–CFD Co-Simulation

A Combinatorial Optimization Strategy for Performance Improvement of Stratum Ventilation Considering Outdoor Weather Changes and Metabolic Rate Differences: Energy Consumption and Sensitivity Analysis

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