Abstract

In this research an experimental and computational analysis under Iraqi climate of temperature distribution, velocity and contaminants concentration in the air-conditioned laboratory have been studied for two case studies. Case-I chosen internal combustion engine laboratory of dimensions (10.3 x 8.7 x 3.75) m with a different number of engines used in the experiments and Case-II chosen laboratory of chemical and petroleum products dimensions (3.7x3.6x3.3)m with different locations of the supply air terminal diffuser compared to the existing design situation. ANSYS FLUENT 14 used to simulate the model's laboratories for compared between the present practical work and numerical work results which are acquired by using RNG K-ε and SST k-ω models and found that the SST k-ω model more accurate. The SST (k-w) turbulence model were employed to solve the governing equations numerically with Reynold number 28,933 and validated by comparing the numerical results with experimental data, and this comparison gives a good agreement. The numerical results for case-I compared with experimental data, while for case-II, the numerical results compared with the standard value due to Iraqi cooling code and ASHRAE standards. The results showed that the mixing ventilation system is able to remove various types of pollutants effectively up to 90% in addition to providing human thermal comfort conditions with the effectively of heat removal up to 85% for the state of the internal combustion laboratory. The second case at laboratory of chemical and petroleum products when the supply air terminal diffuser in the same side, the results showed an increase in comfort conditions by up to 40%.Lastly, from the research, it was found that the pollutant transportation and distribution depend in general upon several factors such as type and location of contaminant source, building geometry, the arrangement of air terminal diffuser opening, and thermal/fluid boundary conditions for example flow rate. Numerical simulation of the velocity and diffusion fields in a conventional flow in laboratories is very useful in comprehending flow and diffusion patterns within different changes of the flow conditions.

Highlights

  • One of the greatest fundamental human desires is fresh air

  • The design of the buildings should be thermally considered by selecting the most critical conditions in terms of temperature and the like (Iraqi Heating Code, 2013).To enhance the quality of indoor air by three basic ways: control the source of contaminants, eject the contaminants from the indoor air by air cleaner and use outdoor air ventilation to dilute the concentrations of contaminants (Awbi, 2007).The reviews spanning the last 30 years reiterate indoor air pollution (IAP) to be a major impact on comfort, health, wellness and performance factors that contribute to indoor air pollution are ubiquitous, both in the outdoor contaminants brought into the indoors as well as the ever increasing sources that are indoors (Hossain, 2012)

  • The relative contaminant concentrations of (CO2) variations along the height that was agreement with the (OSHA Standard) the CO2 concentrations should be less than 1000 ppm for exposure to 8 hours in the occupied zone

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Summary

EXPERIMENTAL WORK

Study the distribution of temperature, the concentration of pollutants and distribution of airflow were conducted by several tests using the mixing ventilation system. The tests carried out in the Iraq climate by computing heat transfer across walls; appraise the actual volume of the airflow and the supply temperature desirable to obtain the best ventilation. The Practical tests were conducted in the actual ambient of the laboratory with temperatures rang of (43-51) and for pressure 1 bar in the city of Najaf at 30 July. System of air terminal supply To estimate the quality of indoor air and thermal environment, inlet velocity, the temperature of inlet air, and effective temperatures was calculate by several steps depending on ASHRAE research

Cooling load ventilation air flow rate
Temperature of air supply
Contaminants source
Assumptions
Models of turbulence flow
The RNG k-ε model
The k-ω model
Mesh generation
Validation and error calculation
Comparison of practical results with theoretical
Case-I
Case-II
CONCLUSIONS
Full Text
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