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We develop dedicated tools which you can apply:
It's impossible to measure energy savings, due to the fact that you cannot measure the absence of something. Where it may look easy to calculate energy savings (energy use before - energy use now), often it's not that simple. A lot of variables have an impact on the energy use and thus the energy savings:
The impact of the significant variables have to be excluded (or normalized) from the energy data, so they don't influence the result.
In M&V there are always two periods:
Some buildings have a variable occupation rate. When this occupation rate has a statistical significant impact on the energy use, occupation is a key impact variable for this building. The occupation should be taken into account when calculation the energy savings. In this way an increase of the occupation of the building does not necessarily lead to a decrease of the energy savings.
IPMVP (International Performance Measurement and Verification Protocol) is the protocol, managed by EVO, that creates a quality framework around M&V which is worldwide acknowledged. The use of IPMVP in M&V build trust and certainty about the used methodes and documentation of M&V. All the results of Eneos are IPMVP-proof via statistical validation.
Energy savings are impossible to measure. M&V provides a framework to calculate them in a statistically approved way
Correct the energy use for all the influencing variables like outside temperature and usage of the building
If the activity rate of a building is increasing and it has an impact on the energy use, it can be compensated.
Verify if the energy saving targets are being reached
Trough M&V it's possible the follow up the energy performance of a building. This is the reason it can be used to detect changes in the buildings behaviour.
In ISO 50.001 or any other energy management system, there is a 'Plan–Do–Check–Act' cycle. The continuous monitoring of the energy use and the performance is an important part of this cycle (check - part). Integrating M&V makes it possible to objectively compare different locations.
In any EPC, there is a way to guarantee the energy performance. Mostly this happens with M&V (IPMVP: option C - Whole building). Oftenly the energy performance is linked to a bonus-malus system. When there is more energy saved then required, the ESCO gets a bonus.
Sometimes legislation requires the use of M&V, like PLAGE in Brussels.
It is hard to measure the energy performance of a building or location. The combination of M&V and benchmarking makes it possible to compare different locations with each other and follow up a group of buildings.
In ISO 50.001 or any other energy management system, there is a 'Plan–Do–Check–Act' cycle. The continuous monitoring of the energy use and the performance is an important part of this cycle (check - part). Integrating M&V makes it possible to objectively compare different locations.
In any EPC, there is a way to guarantee the energy performance. Mostly this happens with M&V (IPMVP: option C - Whole building). Oftenly the energy performance is linked to a bonus-malus system. When there is more energy saved then required, the ESCO gets a bonus.
Sometimes legislation requires the use of M&V, like PLAGE in Brussels.
It is hard to measure the energy performance of a building or location. The combination of M&V and benchmarking makes it possible to compare different locations with each other and follow up a group of buildings.
M&V is not new. For decades the 'whole building' approach has been applied to normalize energy use for outside temperature via lineair regressions. These models where created with monthly energy data, which creates a 12-point model considering a whole year. The introduction of automated metering systems, smart or digital metering changed everything: suddenly there is 15 min data available.
The traditional lineair regressions are inadequate to deal with this amount of data, so more complex models come into play. With these complex models, it's possible to apply M&V on a hourly or daily frequency. It also allows us to detect NRE's and even correct for them after validation. the downside of such a model is the complexity. A lineair regression model is easy to explain en to put in a contract, where more complex models doesn't have that advantage.
There are multiple benefits to Advanced M&V:
Advanced M&V makes it possible to detect NRE's fast and also provides a solution for calculating the NRA itself. Using monthly updated lineair regressions, this would be hard and time intensive. There is a new EVO Application guide which describes the execution of a NRA (EVO 10400 1:2020: IPMVP Application guide on non-routine events and adjustments).
The documentation of the API of Eneos provides all details about the integration of Advanced M&V. Contact us to get more details about our solution.
The start of any AM&V-project lays in the collection the the energy use of a certain location of site. The data quality here is very important. AM&V requires granular (15 min, hourly or daily) data.
Not only the energy use should be taken into account, but also the relevant variables. Often the temperature is statistical relevant. If the building has a lot of windows and active cooling, the solar irradiance is also important.
With all the available data, a baseline model has to be build. This is the core of the AM&V-software. The software detects the important variables and integrates it in the
There are multiple benefits to Advanced M&V:
Advanced M&V makes it possible to detect NRE's fast and also provides a solution for calculating the NRA itself. Using monthly updated lineair regressions, this would be hard and time intensive. There is a new EVO Application guide which describes the execution of a NRA (EVO 10400 1:2020: IPMVP Application guide on non-routine events and adjustments).
The documentation of the API of Eneos provides all details about the integration of Advanced M&V. Contact us to get more details about our software.
Time series and complex are full with insights and added value. Via models we can extract it. The following 7 groups are used to categorize them:
- From: "The model Thinker - Scott E. Page"
Data and models can thus be used for a lot of applications. It's not easy to create those models and extract the insights out of the data. Often it requires complex analytics shaped to the type of insight it wants to extract.
Eneos wants to help to identify the potential of data-driven business decisions for your firm and to explore the possibilities of data-analysis with your available data. Eneos develops new models and insight-extraction analytics. Some insights-extractions are already developed and ready to use (AM&V and leak detection). Others have to be created following the CRISP-cycle.
Contact us when you have some interesting time series available. Together we can create the tools your firm needs to extract the insights!
" Boost the productivity and Market Value of your firm trough Data-Driven Business Decisions (DDD)"
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+32 456.14.12.73
info@eneos.cloud
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Rolwagenstraat 63
2018 Antwerpen
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