READy Heat/cooling
- Collect data automatically or via drive-by
- Detect leakages or unusual consumption levels
- Access consumption data whenever it suits you
Making sense of your meter readings
READy is an effective solution for collecting and accessing extensive and reliable data about your heat/cooling distribution to end-users and their consumption.
The solution includes different options for remote reading of your meters, which can be combined and replaced by others to fit both current and future needs. Common to all options are an efficient collection of data and the use of individual encryption keys to ensure a secure transfer of data.
Once collected, READy makes it easy to access, navigate and act on the collected data. Among its many features are the organisation of data into groups and the presentation of data in tables, graphs and reports as well as event notification via email, SMS and alert symbols.
READy also provides tools for data analysis and day-to-day operations including a smooth data flow with other parts of your business, such as automatic import and export jobs, creating your own export formats and API access to your data.
Depending on your preferences, READy comes in either a local or a hosted solution. If you choose a hosted solution, meter data is stored and kept safe at Kamstrup. If you choose a local solution, meter data is stored locally on your own computer. It is also possible to let Kamstrup to take care of the entire operation of READy.
The value of data
Efficient installations
Identification of faulty installations
Frequent data enable you to identify opportunities for improvement and to proactively contact the relevant end users to help them optimise their heat installation. It is estimated that 75% of all substations can be improved in terms of efficiency and that the problems can be identified with hourly values from smart meters.
Improvement of customer service
Smart metering promotes a more proactive dialogue with end users
Smart metering promotes a more proactive dialogue with end users, as utilities can help them see the consequences of their energy behaviour and provide them with data-based advice on individual energy optimisation. This is a key element in maintaining district heating’s position as an attractive and competitive product.
Leakage detection
Monitoring and reducing the leakage level
Some energy meters are able to measure both forward flow and return flow, which allows utilities to identify buildings where treated water from the distribution network is lost in buildings or substations. Monitoring and reducing the leakage level saves costs for adding and heating new treated water to the system and it enables you to detect installations where water intrusion into the district heating system is causing problems with the quality of the treated water.
Data collection with READy
Network reading
Communication infrastructure for fixed network reading
Automatic remote meter reading that provides daily and hourly values for better optimisation.
Wired reading
Ideal for when wireless connection is not possible
Wired meter reading. Robust remote reading system.
Digitalisation delivers measurable results
”By optimising our network operations we have, over the last few years, saved 2,500-3,000 MWh – that’s approx. 2.5% – and reduced pipeline losses by 12%”
Marc Roar Hintze, CEO, Assens District Heating.
Operations optimisation and improved customer service with remote reading
A common focus on the best possible use of resources and good customer service formed the basis for the two utilities collaborating on the READy network reading of water and heat meters. In addition to halving the costs associated with establishing the radio network, the cooperation resulted in a doubling of the solution’s benefits.
Small utilities have to be smart
Överkalix Värmeverk combines traditional fixed network reading of its heat and water meters with inventive drive-by reading via a garbage truck. The result is extremely efficient meter reading at a minimum of costs and resources – and a huge potential as the basis for future optimisations.