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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

You cannot optimise what you do not measure.

Efficient installations

Identification of faulty installations

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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

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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

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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.

 

Network reading

Communication infrastructure for fixed network reading 

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Automatic remote meter reading that provides daily and hourly values for better optimisation.

Learn more

Wired reading

Ideal for when wireless connection is not possible

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Wired meter reading. Robust remote reading system.

Learn more

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.

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Operations optimisation and improved customer service with remote reading

Assens Water Supply and Assens District Heating, Denmark
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.
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Small utilities have to be smart

Överkalix Värmeverk, Sweeden
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.
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