Contribution Ratio Of Indoor Climate Research Articles

Research on the Contribution Ratio of Indoor Climate in an Atrium Dominated by a Strong Natural Convection

Research on the Contribution Ratio of Indoor Climate in an Atrium Dominated by a Strong Natural Convection

DEVELOPMENT OF THE COUPLED SIMULATION OF CFD AND ENERGY SIMULATION AND APPLICATION EXAMPLES

We proposed how to predict the thermal environment easily and quantitatively according to the change in the heat load by CRI. The indexes called CRI (Contribution Ratio of Indoor climate) were developed so that how each heat source or sink in a room contributes to form the local air temperature can be easily looked into. And, we developed energy simulation considering spatial distribution, by coupling the thermal predict equation with CRI and Energy simulation, such as thermal network calculating program. In this paper, we show case study of this mathematical evaluation method in comparison with two HVAC systems in a classroom, radiation floor cooling with underfloor air-conditioning system, and conventional one, and confirm the effectiveness of this new approach.

CRI（温熱環境形成寄与率）を用いたエネルギーシミュレーションへの空間分布情報の組込みに関する提案

This study aims at the development of the coupled simulation of building energy simulation and computational fluid dynamics (CFD). We proposed the indexes called CRI (Contribution Ratio of Indoor climate), which represents how each heat source (sink) in a room contributes to form the local air temperature in a specific flow field, and how to predict room air temperature at arbitrary points by CRI. In this paper, we propose a new approach to integrate the information of the spatial distribution into the energy simulation program by expressing the air temperature as a function of CRI and the potential of each heat source. This integration method enables the energy simulation to consider the spatial distribution.

STUDY ON THE OPTIMIZATION OF UTILIZATION OF MOISTURE-CONDITIONING MATERIAL

Since houses and office buildings are being built to be more airtight and insular in recent years, indoor environments are often subject to high humidity. Meanwhile, moisture-conditioning materials are widely used in buildings as a result of their excellent ability to control humidity. But the materials' amount and location of their arrangement still should be discussed in order to get the optimal utilization. This study presents a multi-objective optimum design method for reliable indoor humidity environments due to the appropriate use of moisture-conditioning materials. In this paper, (1) a transient prediction of indoor air temperature and humidity in a model living room is performed by employing indices of contribution ratio of indoor climate (CRI(C)) and contribution ratio of indoor humidity (CRI(H)), and (2) an optimal design method is developed with genetic algorithms (GA) and those indices above. In order to confirm the validity of the proposed optimum design system, a conventional model living room with a number of moisture sources is set up as an analytical target and optimum amount and arrangement of moisture-conditioning materials as the design parameters are analyzed for reliable indoor humidity environment design. As a result, optimal solutions are obtained by means of multi-objective genetic algorithm (MOGA) and the effectiveness of the approach is demonstrated for designers.

COUPLED SIMULATION BY MEANS OF CONTRIBUTION RATIO OF INDOOR CLIMATE (CRI(C)) AND CONTRIBUTION RATIO OF INDOOR HUMIDITY (CRI(H))

The purpose of this study is to investigate the contribution of each factor to the indoor climate. In the last part (part 1) of this research, the indoor humidity environment was treated as a linear summation of the contribution of each factor, which could cause an increase or decrease of humidity to the indoor environment. Then new indices were proposed as CRI(H)1,2,3 by means of Computational fluid dynamics (CFD) simulation. This paper, as a follow-up of this research, presents a long-range prediction in a model living room while moisture-conditioning material is arranged in order to control indoor humidity. In details, a coupled simulation based on the steady-state flow field is performed in which contribution ratio of indoor climate (CRI(C)) and contribution ratio of indoor Humidity (CRI(H)) are employed. Furthermore, the simulation results are compared with those of a previous uniform model and CFD transient analysis of indoor temperature and humidity in order to confirm the effectiveness of these approaches.

室内温熱環境形成寄与率(CRI)を利用した室内温熱環境制御に関する研究 : 第2報 CRI_<(C)>とCRI_<(R)>を組み合わせた室内任意点における温度予測式の開発

It is necessary to control the heat source according to the change in the heat load. The indexes called CRI (Contribution Ratio of Indoor Climate) was developed so that how each heat source in a room contributing to form the local air temperature can be easily looked into. Comprehensive evaluating system for indoor thermal environment is proposed by combining CRI_<(C)> (evaluating for convection) and CRI_<(R)> (evaluating for radiation). The applicability of this system was examined in an experimental office room. Temperature at some specified points were well predicted using this system with the limited number of temperature sensors.

E-36 大空間における空調制御方法に関する研究 : その3 温熱環境形成寄与率第1(CRI1)及び第3(CRI3)を用いた検討

E-36 大空間における空調制御方法に関する研究 : その3 温熱環境形成寄与率第1(CRI1)及び第3(CRI3)を用いた検討

室内温熱環境形成寄与率(CRI)を利用した室内温熱環境制御に関する研究 : 第1報 温度センサーと制御対象点の関係を記述するための数学的定式化

The method for controlling room air temperature based on the concept of contribution ratio of indoor climate(CRI) is developed. In this paper, we show the equations which are newly proposed to predict room air temperature by means of CRI with limited number of the temperature sensors. The accuracy of the method is examined by comparing the prediction with the coupled simulation of CFD and radiation. The present prediction method only considers convective heat transfer and does not deal with the radiative heat transfer. The method takes into account the radiative heat transfer implicitly and works well.