Hi, I am mechanical engineer. My area of exterpise is in the field of Renewable energy.
I do energy modeling of building considering building envelop, lighting, HVAC system, etc. using simulation tools like EnergyPlus, DesignBuilder, eQuest, TRNSYS, etc. I have good understanding of ASHRAE standards, ISO standards, national and other international building codes.
I have started in the area of data science using Python language, it is supported by verified certificate on 'Data Science for Construction, Architecture and Engineering’ on edx platform offered by NUS.
My responsibilities were delivering lectures and supervising students for lab work.
Documentation work related to the national accredited body of NBA and NAAC.
Sep 2011 - Jul 2012 (10 months, 1 day)
As a trainee I have to go through the various standards of ASHRAE and to analyze it and apply it judgmentally, simultaneously work with software like Energy+, Auto CAD, and Design Builder for the thermal analysis of the project.
Indian Institute of Technology, Delhi, India 2015 - 2018
M.Tech. (Thermal Engg)
Jamia Millia Islamia, India 2010 - 2013
Jamia Millia Islamia, India 2003 - 2007
Evaluation of thermal comfort criteria of an active chilled beam system in tropical climate
Building and Environment, Elsevier
Air-conditioning systems are employed to provide thermal comfort inside buildings. In the present study, the comparative performance of an active chilled beam (ACB) system with a conventional fan coil unit (FCU) system has been appraised in regard to thermal comfort for the tropical region of Singapore. Experiments were carried out in a simulated office building with approximately 80% glazed area. It was perceived that the ACB system was providing acceptable thermal comfort.
Model development and evaluation of global and diffuse luminous efficacy for sub-tropical region
Renewable Energy, Elsevier
Daylight has a significant role for energy conservation in buildings. In the present study, the characteristics of global (Kg) and diffuse (Kd) luminous efficacies are reported based on measured data for the humid sub-tropical region of New Delhi, India. Four existing efficacy models have been compared based on the measured irradiance and illuminance data. The performance of the models was significantly improved when the optimized coefficients were adopted using the measured data.