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 energy efficiency, use and consumption”.
ISO 50001 requires organisations to:
• 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
How building analytics can help:
A robust building analytics solution integrates energy management into business practice, making it easier for you to continually improve the energy performance of your assets, reduce CO2 emissions and meet your climate change targets. It should be built around the same PLAN-DO-CHECK-ACT Demmings cycle philosophy used as the ISO 50001 framework.
Achieving ISO50001 with Building Analytics
ISO 50001 recommends that organisations establish an accurate baseline of their energy consumption. [Section 4.4.4 of ISO 50001].
Employing a building analytics system that automatically collects, monitors and analyses all live building data from your building management system (BMS), energy management systems will prove invaluable at this early stage. It is important to leverage a system that provides a uniform data set across all buildings, giving you visibility into asset performance.
ISO 50001 recommends that organisations track consumption of energy sources such as electricity and gas and determine significant energy users (SEUs). [Section 3.27 of ISO 50001]
A good building analytics system will collect the main meter data in real-time directly from your utility company. It will combine this metered data
with other data sources in your building to give you transparency, uniformity and visibility across all your significant energy users.
ISO 50001 recommends that organisations develop and track their energy performance indicators (EnPIs) in real-time. [Section 4.4.5 of ISO 50001]
Deploying data analytics at your facility or building will help you set and track your own targets with a clear understanding of industry benchmarks. The system will also identify when SEUs are operating outside specific parameters.
ISO 50001 recommends that organisations project future energy consumption based on historical energy data, capital investment plans, heating degree day (HDD) and cooling degree day (CDD). [Section 4.4 of ISO 50001]
Historical main meter data can be collected by an analytics platform to project what future energy consumption would be if optimisation measures are not implemented.
Certification against ISO 50001 is significantly improved when evidence is demonstrated of a proactive system used to identify ’opportunities for improvement’.
Building analytics can use live building data to pinpoint, highlight and prioritise inefficiencies in real-time, providing actionable insights. CIM’s PEAK platform was the only platform awarded ‘best in class’ by the CSIRO in an international study of automated FDD tools for commercial building energy efficiency.
ISO 50001 recommends that organisations improve operational control of their SEUs. [Section 4.5.5 of ISO 50001]
Implementing data analytics will optimise how large HVAC plant and equipment is performing, giving you real time control of your energy consumption. It allows you to measure the impact of operational improvements and improve your operational decisions based on a clear understanding of the facts.
ISO 50001 recommends that organisations use a platform to record savings achieved from energy conservation measures (ECM) and ensure savings do not degrade over time.
Analytics can track OPEX savings and CO2 reductions achieved against the target for buildings, facilities and portfolios.
ISO 50001 recommends that organisations perform smarter capital planning with respect to energy design improvements. [Section 4.5.6 of ISO 50001]
Data-driven insights help you to proactively make smart capital investments that provide a measurable increase in equipment efficiency.
A good monitoring and verification (M&V) methodology is a key element of ISO 50001 certification.
Continuous intelligent monitoring of your building equipment and systems with data analytics will ensure your asset continues to run optimally and the benefits of the ECM are maintained. Leading building analytics platforms align with Option A of the IPMVP methodology, which is used in several M&V procedures.
ISO50001 recommends that energy teams are established, and there is elective communication and awareness of the energy management program on site. [Section 4.5.3 of ISO 50001]
CIM’s PEAK dashboard makes it easy for all stakeholders to see and understand normalised vs actual energy consumption, emission reductions, thermal comfort levels, costs saved and peak energy periods.
The PEAK platform
CIM’s award-winning PEAK platform integrates building intelligence, machine learning and technical engineering support to improve efficiency, sustainability and comfort across property portfolios.
As outlined throughout this blog, building analytics and ISO 50001 align in a number of ways. By leveraging the power of existing building data, machine learning and automation to give property owners and operators more visibility and control over assets.
Our data science team augments existing technology and human intelligence through advanced analysis of PEAK’s historical and live building data, finding actionable insights.
Technical engineering support
Our mechanical, mechatronic and electrical engineers provide customers with dedicated expert support across every site and portfolio to quickly resolve issues and run better buildings.
- Energy and OPEX savings
- Improved environmental ratings
- Greater team performance
- Data-driven maintenance
- Reduced carbon emissions
- Extended equipment lifespan
- Increased asset profitability
Get in touch to see building analytics in action
See how CIM’s PEAK platform can power a data-driven approach to maintenance that has proven to be a smarter, more efficient, and more cost-effective solution than the traditional reactive approach.