5 Key Steps Towards Data-driven Energy Efficiency

Jon Thompson

Head of Product Innovation

August 25, 2020

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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Is Energy Efficiency Dead?

Jon Thompson

Head of Product Innovation

August 05, 2020

Energy efficiency has gone out of fashion. A quick check of Google trends will confirm this. A 15 year-long steady decline in search volume. But why?

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A 4 Step Process to Identifying Non-Operational Waste and the Most Cost-Effective Energy Savings You’ll Ever Make.

Jon Thompson

Head of Product Innovation

July 23, 2020

Last week I shared a blog post about why I believe energy waste during non-operational hours is one of the most easily avoided forms of waste in buildings. This week, I’m deep-diving into the 4 step process to identifying energy waste during non-operational hours across your portfolio of buildings.


Energy waste during non-operational hours is easily avoided, so why is it so common? A four-step process to the most cost-effective energy savings.

Jon Thompson

Head of Product Innovation

July 14, 2020

This is the first of a series of blog posts on the most effective forms of energy analysis that can be used to identify energy-saving opportunities. Energy data is an underused resource in building optimisation, as businesses often rush to invest large amounts of money in projects with long and unpredictable ROIs. Proper analysis of a building’s energy data can uncover a vast amount of opportunity to improve efficiency at often very little cost.

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Demystifying Degree Days and How to Use Them to Improve Your Energy Analysis

Jon Thompson

Head of Product Innovation

June 29, 2020

Degree days are the most underused performance metrics in energy data analysis. Simultaneously, they are widely misunderstood and therefore misused.

Weather conditions are the most influential factor when it comes to the variability of energy use in buildings. Even in a moderate climate such as the UK’s, changes in the requirement for heating and cooling typically accounts for 50%-70% of the variation in usage over the course of a typical year. In other words, regardless of everything else that’s going on inside or outside our buildings, changes in weather account for nearly all fluctuations we see day to day, week to week or month to month.

If you’re not going to use degree days for your energy data analysis, then you may as well be blindfolded. It would be like going on a diet but not tracking how much you eat.

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