By using Energy Hierarchies, not only are we able to show an organised hierarchy of your assets across various locations, but we can also pull data from your energy meters to give a holistic understanding of where and how you’re using your energy. For our customers, this means the ability to spot and fix anomalies, reduce areas of over-consumption and generally optimise energy performance throughout their estate.
Our Energy Hierarchies functionality enhances what the Energy Tools module already has to offer. It can show you the consumption and profile data and how, for example, multiple submeters are impacting the bill of a fiscal meter; whether that be for gas, electricity, heat, or steam.
The data can be pulled from multiple sources including data collectors, billing providers, manual uploads. Now data can also be pulled from the Hark Analytics module, meaning connectivity is easier than ever.
So, who will this help?
There are a variety of user personas that can hugely benefit from the power of the Hark Energy Hierarchies functionality; account managers for utility companies, data analysts, energy managers, ops managers, contractors, and site managers to name a few.
One of the key processes that the Hark Energy Hierarchies can assist with is data validation, specifically around ensuring that your entire estate or portfolio has continuous and accurate readings, either accumulated or consumption, to ensure you are being billed fairly for your usage. To do this, we’ve created a few helpful features:
Hierarchy Tree View
It’s natural to want to organise and collate information into a folder-like structure, which is exactly what we’ve enabled with the Energy Hierarchies tree view. This gives the users the power to open or close each layer of the hierarchy to see an area within a site, and all of the meters associated with that area in an easily understood way. There is also a search function so that you can find current sites, areas, or meters quickly using their names, serial numbers, or meter references (MP*Ns).
Consumptions & Profiles
We have utilised a lot of the functionality from the Hark Energy Tools Dataset module to provide a better insight into your energy data, meaning that at a meter, site, or area level, you can dig down into the usage for various periods (e.g. previous three months) at different intervals (e.g. monthly) to see a side-by-side comparison of how a particular meter’s energy consumption has changed month-on-month.
Manual Imports
As much as we rely on technology, human interaction will always be important, and therefore we give users the ability to add, remove, or over-write consumption and meter readings. This means that you have full control over your data, with a history of what has happened previously.
An overview of all the Meter Points across your estate
Those who work closely in the energy sector may understand all of the technical information and regulated jargon around the different naming conventions for meters and technical meter details. We’ve therefore created a table view, to accompany the hierarchy tree view. This table includes all meter points in the energy hierarchies, whether they are live or disconnected, and further information about their location, energy type, meter type, etc.
This is also exportable so that users can find the information required with the date range picker and filters to report outside of the Hark Platform.
Billing Provider Integration
There are a lot of different companies that work as billing providers for customers with various sites. As we have created the Energy Hierarchies with one of these providers, we have worked to their industry standards and therefore can easily integrate with other billing providers, based on the needs of users who want to pull data from the Hark Platform into their billing provider to ensure they’re being billed correctly.
The power of the Hark Energy Hierarchies has helped multiple clients understand exactly how much energy they are using to the most granular level and promoted various investigations into process improvements, faulty connections or hardware, and discovery of why any previous data may have been patchy or inconsistent.
Sounds interesting? Contact us today to find out more or book a demo!
