Vodafone Machine-to-Machine(M2M)

Energy Data Management

Energy Data Management

Organisations are increasingly being tasked with investing in measures to become more energy efficient and reduce their carbon emissions. Failure to do this can not only contravene environmental laws but with ever increasing utility bills, can be a huge cost to the business. Additionally there are corporate responsibility goals to be met and with current forecasts on climate change growing ever more alarming, organisations cannot afford complacency in this area.

Energy management can be a very complicated business, particularly for organisations with multiple sites. How do you keep track of what type of energy is being used where, and for what purpose? How do you know when energy is actually needed and when it’s just being wasted? Do you know if you’re even on the right tariff? It’s a fairly daunting task and without detailed knowledge and data it’s difficult to identify which measures will actually deliver costs savings and encourage the change in behaviour required to get results.


Related documents

  • Vodafone M2M - Energy Data Management - Solution Sheet
    Cut your energy costs and reduce your carbon footprint.
    Download the PDF • 970KB
    Vodafone M2M - Energy Data Management - Case study
    Vodafone achieves energy savings of up to 40% with Energy Data Management (EDM) solution
    Download the PDF • 915KB
    Vodafone M2M - Building and offices - M2M in action datasheet
    Offices and buildings are becoming cities in their own right. Almost all of the services that make a city thrive, such as water supply, climate, energy, sanitation, transportation, accommodation, communications and security, are consumed by buildings
    Download the datasheet • 611KB
    Carbon Connections - datasheet
    Quantifying mobile’s role in tackling climate change
    Download the datasheet • 1.8MB
    Vodafone M2M - Enexis Case Study
    Vodafone M2M’s capabilities provide Enexis with the scalability to meet legislation requirements
    Download the Case study • 589KB