Data monitoring and management can be applied in almost any industrial system. Data management refers to several approaches to use data once it has been measured.

These include using energy baselines and energy-mass balances to estimate energy savings, determine the economic implications and wider benefits from energy efficiency initiatives. It’s also used to identify the level of accuracy for energy and financial savings predictions and to estimate payback periods.

Sectors and common applications

  • Data monitoring and management is unique amongst the practices assessed in that it applies to every sector:
    • Construction
    • Electricity generation
    • Services
    • Manufacturing
    • Mining
    • Transport
    • Oil and gas

Score

  • 64.7/100
  • Estimated sectorial energy savings in 2014 were 89 PJ.

Weighting

Indicator Score
1. Energy saving and cost achievement  
1.1 Energy saving 9/15
1.2 Cost effectiveness 7/10
1.3 Prospect 6.3/10
2. Market contexts  
2.1 Sector energy savings 10/10
2.2 % of industry $ gross added value 2/10
3. Originality and innovation  
3.1 Originality 6/10
3.2 Innovation 6/10
4. Transferability/replicability
4.1 General applicability 5/5
4.2 Ease of implementation 4/5
4.3 Ability to integrate external resources 5/5
5. Co-benefits
5.1 Environmental 1.4/7
5.2 Social awareness 3/3
64.7/100

Examples

Waste management company JJ Richards and Sons undertook a structural assessment of their practices. This involved a review of management systems to identify key triggers for capturing, analysing and managing energy efficiency. This assessment identified improvements in processes to capture poor energy-efficiency performance. The process is likely to provide improved consistency in the identification of performance and issues to improve responsiveness.

Rio Tinto Ltd saw that provision of accurate and timely energy management data was vital to the sustainability of their operations.

The company aimed to identify and reduce inefficiencies resulting from poor information and subsequently improve decision making processes leading to improved energy efficiency. It was found, for example, that the end-use of steam was not being reported.

The tools developed for this project have been implemented and are used for online energy consumption monitoring and energy balance optimisation, i.e. for determining energy inputs, outputs and users around the Gove site.

The resultant model of the Gove site for optimising plant operation and its applications for viewing and archiving plant data continues to be used successfully. It has proved to be a great benefit to the site for determining savings. While the direct energy savings associated with the project are small, the wider implications of the improved energy monitoring have enabled new opportunities to be identified which have major potential energy savings.

Other companies that have identified data monitoring and management as a source of energy savings include:

For more information:

Energy metering and monitoring control

Energy Savings Measurement Guide (PDF, opens in new window)

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