In the first year of the Martin Gough student award, the prize for second place goes to Rehnuma Parveen, PhD student from the University of Adelaide, with her paper ‘IES-VE for Achieving Energy Independence’.
Read on to find out more about Rehnuma’s research paper and what it means to her to be selected as this year’s runner-up.
The 2nd Prize Paper
Rehnuma’s paper presented a case study of the calibration process of an apartment, which investigated the possibilities of energy independent residential buildings in a fast-growing megacity in the developing world. The project used the IES Virtual Environment (IESVE) for obtaining its outcomes. In the current context of global warming, it is imperative that buildings improve their energy efficiency. The paper studied the important role of building performance simulation tools in this regard and the importance of accurately reproducing real-world results in a virtual model. Rehnuma concluded that calibrating the model with real-time measured data is one of the procedures that must be followed to ensure the model’s reliability.
A calibrated model’s reliability can be measured. The most commonly used method to evaluate how well the model has replicated the real-world situation is to calculate the coefficient of variance of the root-mean-square error (CV (RMSE)) between the simulated data and the measured data. A model that achieves at least 20% CV (RMSE) is generally considered acceptable. In this study, the calibration of the model with the measured hourly indoor air temperature achieved 1.37% CV (RMSE) and with the monthly electricity consumption achieved 7.42% CV (RMSE).
This paper concludes that the IESVE can produce a highly calibrated model that can be utilised to establish energy independence.
A few words from Rehnuma…
- How does it feel to be named the first ever runner-up of this award?
It’s a great feeling!! When I first read the email with the announcement, I was blank for a moment, it took me few seconds to fully realize that I had won an award! It was an ecstatic moment and it’s very special for me to be recognized by IES. I am truly honoured and can’t thank IES enough for this.
- How do you plan on using your prize? Do you have any future plans for using the software?
There are few plans; however, most likely I will attend an IBPSA or any equivalent building performance simulation related conference with the cash prize. On the other hand, will continue developing my IES skills with the license and the distance learning platform. I loved using IES-Apache for my PhD project; hence, I wish to use this software extensively in the future.
- How valuable has the IESVE software been in your research/studies?
In one word, IESVE has been ‘invaluable’ for my research. I could calibrate my model with real life measurements and it achieved very low CV (RMSE). This allowed me to stand confidently with my research outcomes that I obtained using the calibrated model in IES. Furthermore, I could experiment with numerous parameters without a glitch, which eventually led me to expand my research scopes. Without IES, I do not think I could do this. Based on my experience with IES and few other simulation tools, I strongly believe that IES is one of the most powerful tools today for predicting building performance. I am looking forward to using this tool many more times in the future.
Could you be a prize winner next year?
Congratulations again to Rehnuma. Entries for next year’s award will open in early 2019. If you are interested in taking part, please register for updates via our newsletter or watch this space for further details being posted in due course.