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Nowadays there is masses of data available at every stage of the building lifecycle. And nowhere more so than at operation. The increasing volume, variety & velocity of data available presents its own organisational and analysis challenges. As does getting hold of and storing that data in the first place. However, what’s clear is that in order to derive value from operational data building owners, controls companies, BMS operators and specialist consultants need to come together and work in collaboration.
New trends in technology are making it increasingly cost effective to instrument and collect data about the operations and energy usage of buildings. So much so that we are now awash in data and the new problem is how to make sense of it. Today most operational data has poor semantic modelling and requires a manual, labour intensive process to “map” the data before value creation can begin. Pragmatic use of naming conventions and taxonomies can make it more cost effective to analyse, visualize, and derive value from our operational data. Data collected from operational sites can also be used to feedback into new design and ‘seed’ the design process from a grass roots level, leading to better designs, and better buildings!
Now I’ve spoken about our work for John Lewis in York on 2degrees before. However, last month, along with Lateral Technologies and Next Controls, we scooped the CIBSE Building Performance Award for Collaborative Working Partnership, for this very project.
Using IES SCAN technology, Lateral Technologies worked with IES Consultants to collect data directly from BMS systems and calibrate it with the design model to show any gaps in terms of predicted and actual performance and help deliver a soft landing. The controls company, Next Control Systems, were responsible for extracting the data from the BMS system to share with IES and Lateral Technologies.
Together this team helped John Lewis to create its most sustainable store to date and achieve a reduction of 43.8% in absolute carbon emissions compared to the benchmark, equating to 13.8% further savings than the original expectations of 30%.
For me this is an excellent example of how collaboration can help facilitate Data Driven Design. Data Driven Design is a term we’re using to describe this cost effective approach to analyse, visualise, and derive value from operational data. By incorporating this approach into an integrated (BIM) design process it is possible to understand better the difference between performance models created solely for Part L compliance and how a building actually operates in real life.
A report by the Green Construction Board from 2013 explains the cause of the gap between predicted and actual energy use as down to the following headline issues:
So in conclusion, the power of outstanding collaboration comes from not only collaboration between design/operation team partners to effectively use data, but also integration across the different stages of a buildings lifecycle.