4 MINUTES READ
- Categories:
- Net Zero Carbon Buildings
What kickstarted the Net Zero movement?Since Al Gore’s ‘An Inconvenient Truth’ hit our screens in 2006, the devastating impact we have on our planet has become widely accepted and understood. Thankfully, the climate change sceptics are now few and far between. But awareness of the issue is one thing, for a long time we lacked any notable action.
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6 MINUTES READ
- Categories:
- Net Zero Carbon Buildings
The last blog in our Net Zero Carbon Buildings series looked at where to begin with net zero carbon buildings. We found that good energy data and energy efficiency was the place to start and had some tips for overcoming common data challenges.This time, we’re moving on to look at how best to analyse that energy data once you’ve got it, and what it can tell you about the buildings you manage. Here’s our roundup of the five key energy analysis techniques we think you should pay most attention to.
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5 MINUTES READ
Profile analysis was the first thing I learned as an energy analyst. It is the foundation of all other forms of energy analysis. Without an understanding of how buildings use energy on a half-hourly basis, everything else is just noise.The mass adoption of smart metering and AMRs has meant that ‘energy profiles’ are widely available. Back in the day, they were recorded by an energy profiler that was temporarily installed for a couple of weeks. This meant analysts were dealing with a very limited time period for a limited number of data points. Thankfully, this is no longer the case.
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6 MINUTES READ
In the world of energy efficiency and sustainability, we very rarely make decisions based on data. In a sector filled with experts and specialists, most decisions are made on gut feel and intuition. You may think because you use data in your decision-making process that you’re data-driven. But that’s not the same thing.Being truly data-driven means putting data at the heart of the decision-making process. It really comes down to a ‘data first’ approach instead of going by gut feel. It means constantly questioning your beliefs and assumptions to form new mental models. Referring back to the data time and time again and continually asking “Why?”.
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