Acoustics vs overheating risk

Best practice members met on 17th January 2018 to discuss the conundrum of balancing the need to mitigate overheating risk in homes with the competing requirement to maintain a comfortable internal acoustic environment.
Best practice members met on 17th January 2018 to discuss the conundrum of balancing the need to mitigate overheating risk in homes with the competing requirement to maintain a comfortable internal acoustic environment.
We wanted to do some digging to understand what’s happening with the new version of BB101 and what impact it may have on modelling for schools.
We were asked by the CIBSE Journal to respond to a recent Telegraph article that criticised the modelling community and pointing the finger at us for the performance gap. Our response was printed in the June edition and we’ve reproduced it below.
Inkling are very proud to have been involved in the writing of the new CIBSE TM59 Design methodology for the assessment of overheating risk in homes.
Susie was the Inkling representative at this years Technical Symposium held in Loughborough 5-6th April 2017. She diligently tweeted and took notes, and has compiled this storify to offer an impartial digested read of proceedings.
Susie Diamond co presented the CIBSE Weather Data Sets Webinar on 23rd February 2017 discussing the new CIBSE weather datasets, their key characteristics and their use in practice.
Susie attended this years CIBSE conference on behalf of Inkling. It was a good conference with key themes of well-being and data management.
This month I was asked to take part in a new CIBSE podcast initiative. As a big fan of podcasting, and with the subject of ‘Women in engineering’ I could hardly say no!
We have been taking a look at the new weather files that CIBSE have put out to replace the TRY and DSY datasets produced in 2005.
Rather than blog my notes from the CIBSE Technical Symposium 2016, I’ve decided to add them to a Storify which links all the tweets I sent during the event.
This blog offers our thoughts on the impact of weather file selection on modelling domestic overheating risk.