Hello, Heat Pump Help.

RIGHT SIZING HEAT PUMPS

Heat pumps are a key technology for achieving net zero emissions from domestic housing – but we’re way behind and mass roll out in the UK market needs us to get past some problems. For example, we have the oldest housing stock in Europe, so understanding the heat loss from each home is a key step in designing an accurate heat pump system.

However, the existing techniques for estimating heat loss are based on surveys putting data into models of home performance. This technique is time consuming  (which makes it unattractive to installers) inaccurate (nearly 40% of heat loss calculations oversize heat pumps) and can provide different results between surveys, which reduces a customer’s confidence in the design.

Reduced confidence often drives oversizing of heat pumps, making them more expensive and less efficient. We want to tackle that and make a tool that helps the industry deliver top quality heat pump designs, optimised for the needs of each home.

After 18 months of work, the Right Sizing Heat Pumps project is developing a tool to automate the measurement of heat loss and use that to properly size and optimise heat pump performance. In turn this means reduced capital and operational costs for owners and improved sales and design process for installers.

The core of this solution uses a small set of sensors and smart meter data to deliver automated measurement of heat loss and underpin recommendations on the best heat pump model and forecasts of its performance:

By automating heat loss measurement we can reduce survey time for installers and give them more confidence in designing the right solution for any home. More reliable forecasts of performance mean solutions can be optimised to suit homeowners budgets and preferences, giving them independent baselines of what is possible. For landlords accurate records of heat loss and heating requirements allow more informed procurement and supply chain management.

HEAT LOSS WITHOUT THE HASSLE

Our portable and automated solution will mean installers can chose how to apply the test; as part of a customer sales visit, or by asking the customer to self install for an accurate quote before full system design.

Each test uses, on average, three weeks of data* and provides reports on heat loss, forecast system performance, the suitability of existing emitters, plus forecasts of capital and operational costs.

RSHP solution means:

  1. Smoother and quicker quotes. Reduce hours on site surveying. No more worrying about hidden fabric defects or air change defaults. Simply an accurate, direct measurement of how much heat the fabric of the home loses
  2. Repeatable results. Measurement delivers a robust and consistent test for heat loss, who ever installs the sensors. Customers will no longer face different heat loss results from different suppliers
  3. Robust forecasts of performance for a range of products. With properly benchmarked models of the home, the tool will help you focus on your customers needs. You can forecast the trade offs between emitter sizing, flow temperature, number of days hitting design specs and costs.

NEW FOR WINTER 2024 – WE’RE LOOKING FOR PILOT PARTNERS

For the heating season of 2024 / 2025 we want to work with a selected group of partners and customers to test and optimise the delivery of measured heat loss services.

During this test period we’ll offer a couple of specially priced options for working with our solution, both options will include training, support and a degree of customisation.

We’re particularly interested in comparing our results against outputs from standard heat loss models such as SAP or BS12831.

Find out more!

Come and find us at the Installer Show 2024 on stand 5H42 (next to the Heat Geek Theatre) to take advantage of our special show offer.

Or if you would simply like to know more about the solution, please get in touch with us using the form below. Every message reaches a real human, we promise!

    *Heat loss measurement is most precise in heating season, when results can be calculated in as little as 10 days. By April at least 30 days are needed.