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Download Your 10 Step Guide to ISO 50001

Enhance your ISO 50001 journey with building analytics

ISO 50001 is the international standard for Energy Management systems. It is designed to enable organisations to establish systems and processes necessary to improve energy performance, including efficiency, use and consumption.

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CIM’s PEAK building analytics platform is built around the same framework used for ISO 50001, the international standard governing how to establish, implement, maintain and improve an energy management system.

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Download Your 10 Step Guide to ISO 50001

Download Your 10 Step Guide to ISO 50001

How ISO 50001 and building analytics align?

A good building analytics platform, supported by a comprehensive rules library and backed by technical expertise, will make it much easier for sites to start their ISO 50001 journey and improve their certification success rate.

Building analytics removes most of the time-consuming and manual effort usually required to achieve ISO 50001, and helps organisations maintain certification across multiple assets with minimal resources. It also ensures that any costs invested into improving site performance are maximised for energy efficiency and a return on investment.

CIM’s software as a service (SaaS) building analytics platform is built around the same framework used for ISO 50001, the international standard governing how to establish, implement, maintain and improve an energy management system.

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What are the ISO 50001 requirements?

  • Develop a policy for more efficient energy use
  • Establish energy targets and objectives
  • Make data-driven decisions about energy use
  • Measure results and continually improve energy management

Want to learn how CIM’s building analytics solution could work for you?

Get in touch with our team of technical engineers and see how building analytics can enhance your ISO 50001 journey. We’re flexible and will tailor our solutions to suit your needs.

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The CIM PEAK Platform

How It Works

The PEAK Platform digitises property operations by capturing collecting and analysing all of the available building data; equipment IoT sensor data, HVAC, BMS and NMI feeds, and more, before synthesising it into structured and normalized sets. This is then translated into valuable insights to pinpoint inefficiencies and opportunities for optimization.
Rules Engine
The beating heart of the platform’s fault detection and diagnosis (FDD) capability is its Rules Engine. The PEAK Rules Engine includes a growing library of advanced FDD template algorithms which are deployed across all building equipment to monitor performance.

Billions of building data points are streamed and captured to detect equipment failure, abnormal operation and optimization opportunities.
PEAK Alerts
Once a deployed rule from within the Rules Engine goes into fault, an insight is generated as an Alert to notify building managers of an identified anomaly, failure or tuning opportunity.

These Alerts are displayed as tickets within the platform and include a detailed explanation of the issue, impacted equipment, rectification steps and data trend history.
PEAK Actions
PEAK Actions is a simple-to-use cloud workflow tool where site teams and contractors can seamlessly collaborate to action insights. Users can raise tasks, track progress, communicate with others and maintain a complete digital history of activities for a building.

Through this centralized workflow and communication, teams can spend less time doing meetings, paperwork, emails and follow up. And more time getting things done.
Reporting
Customized dashboards can be used to visualise building information clearly, by synthesising complex data sets. This provides the visibility, transparency and oversight required to make data-driven decision-making at both a senior management and on-the-ground level.

PEAK reporting mechanisms provide detailed yet clear insights across a range of building performance areas including electricity, gas and water usage, thermal comfort and relative humidity, CO2-e saved, equipment performance etc.
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