Energy Management – The New Generation

Buildings are responsible for more than 40% of the global energy use and one third of global greenhouse gas emissions. 75% of the buildings in Germany were erected before 1979, this means they have really bad energy efficiency standards. Thus, the building sector has the largest potential for avoiding significant and cost-effective greenhouse gas emissions. Unfortunately, the facility and energy management is a rudimentary digitised sector. Due to a lack of useful tools for monitoring and control of resource consumption we lose the chance to identify and address efficiency issues in buildings. There are 235 energy management solutions listed by the German government. But this has had no impact on achieving the national climate and energy savings goals.

Frameworks as ISO 50001 may help to create awareness and train people to implement systematic processes for achieving continual improvements. But the lack of real-time data and easy to use analytic tools is still a key challenge. Even with advanced metering technology solutions significant energy savings are still not reality, since behavioural barriers impede their implementation. Nowadays users need motivators such as neighbourhood building comparison, competition (gamification) and social platforms. Traditional energy dashboards present consumers historical consumption data and no energy saving hints. In other words, they lack relevant information and have no impact.

Altogether, common professional energy management tools fail due to high complexity, high prices, lack of usability and the required expertise to understand them, leading only to frustration and confusion. It’s hardly surprising that the energy management of companies usually is still based on yearly bills.

At smartB we understood that the energy efficiency sector can’t remain like this. Through advanced sensor technology and smart analytics smartB is able to assist companies in revealing hidden savings potentials and making the energy manager’s life easier. As a result the user gets key performance indices (KPI), anomalies, alerts, trends, benchmarks, forecasts and deep, technical energy insight constantly calculated and intuitively provided through the smartB dashboard and our mobile app.

One of our big differentiators is that we master the machine-learning and deep-learning techniques necessary to transform the high-resolution energy consumption data from our so-called ‘smartBEAT’ meters into relevant feedback for our clients. We measure 4,000 values ​​per second, far beyond the usual 15-minute values. This data helps us to tackle the NILM problem (non-intrusive load monitoring). NILM assumes that every electrical consumer leaves an individual fingerprint on the load profile. As a result, disaggregation of these fingerprints provides detailed insight into the operational activity and energy consumption of individual devices. This enables the identification of energy efficiency potentials and the definition of device-specific cost-saving measures. Nevertheless, NILM is a worldwide unsolved problem. smartB holds the key to solving this problem. With each new client profile we are getting better in mastering NILM for all of our clients.

smartB is also the first company in the German market that implemented a fully automated measurement and verification tool based on an international well-known scientific standard (“IPMVP”). This tool allows users the precise assessment of his energy savings after implementing an energy efficiency measure.

smartB’s vision towards the global energy transition is that value-enriched energy data will help energy managers, facility managers and non-expert users to contribute to saving energy and optimising processes. Therefore smartB is working hard to provide useful energy consumption insights.


Many thanks to smartB for providing this excellent post. smartB will be joining us at our Symposium on the 12th April 2018. For further details, please view the agenda here, or register to attend.