Around the world industrial businesses are looking for ways to continually improve their energy performance, efficiency, usage, and consumption. Many of these asset-intensive businesses have decided to implement IOS 50001:2018 to integrate energy management systems (EnMs) into their overall efforts to improve quality and environmental management as part of their overall business strategy.

This standard for energy management assists organisations to produce a plan to efficiently manage their energy performance with their climate change mitigation goals, along with their reputation management and competitiveness in the market.

A core component of an energy management system is the ability to gather data from a variety of unconnected sources and analyse it to make informed decisions for continual improvement of energy performance. Due to the large volume of data that industrial businesses produce every hour, and the global scale of many organisations, manually measuring and identifying areas of significant energy use can be difficult.

VROC assists companies in analysing industrial data, and provides a simple interface for;

By supporting an energy management system with a powerful AI platform, Energy Management Systems with Artificial Intelligencecompanies can get automatic insights to drive continued energy performance improvement.

ISO 50001 can be implemented by a broad range of energy-intensive industries, from oil and gas, mining and resources, manufacturing, facility management and power generation, among others.

One of VROC’s clients used the VROC platform to compare two identical assets. The VROC platform was able to identify a deviation on one of the assets which was causing excessive energy consumption and reliability issues. The client was able to intervene and optimise the asset, improving heat retention which was estimated to save $280,000 USD annually in reduced fuel consumption.

In another example, VROC’s platform was used to forecast the supply of energy in a state-wide grid. Initially tasked to forecast 72hours in advance, the AI platform was able to automatically forecast 7 days in advance, using the available historical plant data as well as weather data. It is estimated that improving the accuracy of forecasting by 1%, and not oversupplying or undersupplying the market, can result in an estimated $800M AUD savings annually in the industry.

As companies enrich their energy management system with artificial intelligence, energy performance improves, along with additional benefits such as improved asset reliability, increased productivity, reduced emissions and reduced OPEX costs.

If you would like to know more about how the VROC platform can assist in your implementation of ISO 50001:2018, or other energy management projects please get in touch with our team.

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