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Elangovan R.,Center for Excellence and Futuristic Developments
Proceedings of Meetings on Acoustics | Year: 2013

This study focuses on experimental evaluation of outdoor noise climate in an office campus which is spread across 27 acres and investigation of its impact on the adjoining office buildings. For this purpose, a base map of the campus was prepared from the recent high spatial resolution satellite image using ESRI Arc/GIS and the same was used for planning appropriate locations for capturing noise levels and its spectral characteristics. Mapping grade Trimble GPS was used to stake out the measurement locations and noise levels were recorded using 01 dB solo and Norsonic type 118 sound level meters. Captured noise levels were plotted in GIS environment and appropriate spatial interpolation was carried out in order to give a continuous graphical representation of sound levels. A wide variation of noise levels was observed across the campus with LAeq ranging from 50 dB(A) to 80 dB(A). Low frequency noise was found to be predominant compared to mid and high frequency noise. Major noise sources and the propagation pattern were determined through the mapping. The data thus obtained is used to investigate the noise impact on the office buildings. The measurements were also accompanied by a subjective evaluation of the outdoor noise annoyance. © 2013 Acoustical Society of America. Source

Rajasekar E.,Center for Excellence and Futuristic Developments | Anupama U.,Center for Excellence and Futuristic Developments | Venkateswaran R.,Center for Excellence and Futuristic Developments
Advances in Building Energy Research | Year: 2014

This study deals with effective post-occupancy strategies which occupants in naturally ventilated residential buildings could employ in order to improve thermal comfort. The results are based on validated simulations carried out using the ESP-r software tool. The study focuses on two strategies, viz. - adaptive occupancy patterns and ventilation strategies for thermal comfort improvements during summer and winter. The feasibility of applying these strategies which were part of traditional living practices to a modern residential setup has been analyzed. Design considerations for these adaptive strategies to be functionally effective have been discussed. The analysis indicated that an adaptive occupancy pattern could potentially improve thermal comfort by 10% in summer compared to the base case. Fenestration operation patterns could improve thermal comfort by 13% in summer but have no significant benefit in winter. Night ventilation was found to be effective in improving comfort conditions by 28% in summer. The combined effect of adaptive occupancy pattern and night ventilation in summer could improve thermal comfort by 26%. Daytime ventilation could improve comfort in winter by 40% compared with free-running condition. © 2014 Taylor & Francis. Source

Udaykumar A.,Center for Excellence and Futuristic Developments | Rajasekar E.,Center for Excellence and Futuristic Developments | Venkateswaran R.,Center for Excellence and Futuristic Developments
Indoor and Built Environment | Year: 2015

This paper deals with analysing the thermal comfort performance of apartment units in a typical hot, dry climatic region, through real-time monitoring and dynamic simulation adopting Environmental Systems Performance - research (ESP-r) thermal simulation software. Real-time monitoring of thermal comfort parameters was carried out in representative units for a period of six months between January and June (winter to summer). The measured data were analysed and used to validate the simulated results obtained from the ESP-r model, which was subsequently used to establish the prevailing comfort characteristics and the thermal comfort response of the residential units. Thermal comfort predictions through Fanger's expected Predicted Mean Vote (ePMV), Tropical Summer Index (TSI) and comfort temperature (Tcomf) exhibited a significant variation. During summer, ePMV and Tcomf estimated higher amount of heat discomfort (50% and 62%, respectively) compared to TSI index, which estimated 76% tolerable conditions when an air velocity of 1 m/s is available. During winter, TSI index indicated the prevalence of higher cold discomfort compared to the other indices. The results obtained have been used to develop predictive formulae for assessing thermal comfort for this building type, which can be used to arrive at quick thermal comfort estimates for any proposed design in a similar context. © The Author(s) 2013. Source

Rajasekar E.,Center for Excellence and Futuristic Developments | Udaykumar A.,Center for Excellence and Futuristic Developments | Soumya R.,Center for Excellence and Futuristic Developments | Venkateswaran R.,Center for Excellence and Futuristic Developments
Building and Environment | Year: 2014

This article focuses on evolving dynamic thermal performance benchmarks for naturally ventilated buildings located in hot-dry climates of India. The study presents a framework which translates the steady-state performance metrics prescribed by the national building code to dynamic metrics. By means of collating the adaptive comfort boundaries and the thermal inertia requirements for this climate, a dynamic performance limit has been developed. Similarly, by means of replacing the constant base temperature used in the existing thermal performance index for opaque walls with the variable adaptive-comfort based thermo-neutral temperature, a dynamic index has been presented. A review of these indices using data obtained from real-time field measurements has been provided. Influence of wall density, absorptivity, glazing type, ventilation strategy and orientation on thermal discomfort has been discussed through parametric studies. The steady state wall - U value requirement prescribed by the national code has been reviewed through factorial analysis. The interactive effects of wall - U value, fenestration area, insolation and orientation has been analyzed. Optimal fenestration sizes have been derived for different boundary conditions. © 2014 Elsevier Ltd. All rights reserved. Source

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