When the energy you consume is the metric of your performance & growth, Frequent Energy Auditing is the best way to achieve your energy targets.

The energy audit is the key source of energy efficiency initiative. With the changing time and technology, energy audit report needs more detailed analytics representation. At present, an energy audit standard report contains the details of the plant/facility, energy usage analysis and energy conservation measures. This standard reporting contains the information that is already available with the client.

The smart reporting here means more analysis of the data to get more insights. Regression analysis is such an analytical tool that needs to be a part of an energy audit report. Regression analysis gives a clear picture of how energy usage varies depending on multiple variables.

Sample Application:

Calculation of boiler efficiency is essential if its parameters need to be controlled for either maintaining or enhancing its efficiency. But the determination of boiler efficiency using the conventional method is time-consuming and very expensive. Hence, it is not recommended to find boiler efficiency frequently. The loss due to dry flue gas, loss due to hydrogen in fuel and loss due to moisture in fuel are the major boiler losses which contribute for the overall boiler losses. Energy Auditing by regression analysis

To evaluate the boiler performance multiple regression analysis need to be performed on boiler efficiency based on the boiler losses due to dry flue gas, the hydrogen & the moisture content in fuel. The coefficient of determination (R2) determines the goodness of fit.

The technique can determine the factors that are best controlled or changed to affect (increase) the efficiency or other primary performance indication of the plant, as well as to establish a baseline or best-possible operational constraints to be used to control the plant in future.

Why is it required?

The advanced technology let us have access to huge connected data that are readily available for the industrial plants.  Thus there is no time constraint to an energy expert to get a huge amount of data. Analytics of these data will lead many energy saving options. To achieve this, we need more details of the inter-dependency of different plant parameters. Hence with the help of this technique, we can save more energy with the united effort by subject matter expert, operation & maintenance personnel.

What next?

We have evaluated the applicability of this technique in a power plant. But these details enable a better analysis in all the sectors as a part of the energy audit report. This type of analysis helps us perform the first level energy analysis in frequent time. This technique will have a number of applications like the prediction of future energy consumption, equipment efficiency, possible energy waste areas, etc. If this type of insights is provided in the energy audit report, the submitted report will have more impact as compared to the standard report will help choose the right energy management for you.

Here are the few tools that come handy for an energy analyst, consultant or auditor & the software that help measure, monitor, control & conserve energy.


Power Quality Analyzer
(iD LOG – 8000)

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Energy Management System
Elmeasure Cloud Solution for gen sets

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