Review and development of the contribution ratio of indoor climate (CRI)

Zhang, Weirong; Zhao, Yanan; Xue, Peng; Mizutani, Kunio

doi:10.1016/j.enbenv.2021.04.003

Cited by 9 publications

(7 citation statements)

References 22 publications

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“… refers to the ratio of temperature rise (or fall) at a point due to one individual heat source to the temperature rise (or fall) from the heat source uniformly distributed with the same amount of heat 28 (Fig. 9b ).…”

Section: Methodsmentioning

confidence: 99%

“…However, the air temperature and specific humidity are objective parameters. To evaluate the impact of indoor real or virtual heat sources on temperature distribution, Kato et al 27 proposed the Contribution Ratio of Indoor Climate ( ) based on Kato’s effectiveness of contamination exhaust 28 and Sandberg’s ventilation efficiency 29 . This indicator can quantify the diffusion process of indoor heat sources and their effect on the air temperature.…”

Section: Introductionmentioning

confidence: 99%

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Indices for dynamic evaluation of indoor humidity and thermal environment

Hu,

Wang,

Wang

et al. 2023

Commun Eng

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Moisture sources release wet-components into indoor air, affecting the occupants’ health, air conditioning energy consumption, and building service-life. Wet-component evaporation and diffusion are dynamic processes, and yet existing indices are limited in their ability to accurately describe moisture sources dynamically influencing indoor air. Here we propose two indices CRIt(H), an index of the rate of humidity contribution change, and CRIt(c) as the rate of indoor climate contribution change. Taking a humidifier as the source, we use our indices to compare by experiment the impact of source parameters on a variety of ambient conditions over space and time. Our approach accurately reflects how the moisture source affect humidity and temperature, with identification of specific stages of dynamic influence. This study will be beneficial for the establishment of transient indoor environmental models, regulation of air-conditioning systems, and sustainable control of the indoor environment.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indices for dynamic evaluation of indoor humidity and thermal environment

Hu,

Wang,

Wang

et al. 2023

Commun Eng

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“…T q is the air neutral temperature; volume of supply air. For more details, please refer to literature [7].…”

Section: Prediction Algorithm Based On Cri and Mobile Sensorsmentioning

confidence: 99%

Approach on prediction of indoor temperature distribution by combining POD, CRI and mobile sensors

Zhao

Ding²,

Zhang³

2022

E3S Web Conf.

Self Cite

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In our previous study, a prediction method of indoor temperature distribution based on the Contribution Ratio of Indoor Climate (CRI) and finite air temperature collected by one mobile sensor has been proposed. However, the CRI fixed value hypothesis limits its application in practical situations. In this regard, this study proposes to introduce interpolation POD (proper orthogonal decomposition) method to obtain the dynamic distribution of CRI, so as to improve the prediction accuracy. As a case study, in a simplified CFD model with identified heat source conditions, based on the interpolation POD method, the reconstruction of each sub temperature field dominated by only one heat source under any air supply parameters was realized, and thus its CRI distribution could be calculated. Then, by combining the finite air temperature collected by the mobile sensor, the indoor temperature distribution was predicted. The results showed that the introduction of interpolation POD method is effective, which breaks the application limitations of CRI fixed value hypothesis on the proposed method, and further promotes its development potential in the direction of "real-time prediction and dynamic regulation" in practical application.

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“…When forced convection is the main form of air ow affecting the indoor environment, the distribution of indoor humidity and temperature elds in uenced by its function as moisture and heat sources have linear characteristics 25 . For the humidity eld, since the humidity ratio is passively scalar, when the position and intensity of a moisture source are xed, the in uence of water vapor diffusion and droplet evaporation can be separately analyzed, and the variation of humidity environment in uenced by the source is the linear superposition of the humidi cation effects of the two processes.…”

Section: Linear Characteristic Of Humidity and Temperature Eldmentioning

confidence: 99%

Proposal and application of indexes for dynamic evaluation of indoor humidity and thermal environment

Wang

et al. 2022

Preprint

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Moisture sources release wet-components into and absorb from the indoor air, affecting the occupant health, air-conditioning energy-consumption, and building service-life. Considering the strong dynamic features of wet-component’s evaporation and diffusion, we propose indexes CRI(H)t and CRI(C)t, which can accurately describe dynamical effects of sources on the indoor-environment. Taking a humidifier as a source, we subsequently compare the indexes under various source-parameters and environmental conditions. The results show that according to the variation of CRI(H)t and CRI(C)t, the process of sources influencing humidity and temperature field can be subdivided into rapid-increase/stable-increase/stable stage and decrease/increase stage. The variability and time-ratio of indices can provide a comprehensive understanding of sources with various intensities and water-temperatures affecting the indoor environment at different atmospheric-pressures, temperatures, and humidity. This study will be beneficial for the establishment of transient indoor environmental models, regulation of air-conditioning systems, and sustainable control of indoor environment.

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Review and development of the contribution ratio of indoor climate (CRI)

Cited by 9 publications

References 22 publications

Indices for dynamic evaluation of indoor humidity and thermal environment

Indices for dynamic evaluation of indoor humidity and thermal environment

Approach on prediction of indoor temperature distribution by combining POD, CRI and mobile sensors

Proposal and application of indexes for dynamic evaluation of indoor humidity and thermal environment

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