Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.

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Virtualisation

Using an IT solution that can provide the fastest (but still reliable) disaster recovery process is essential for the success of any business continuity plan. Although virtualisation is still considered leading edge technology by many business continuity specialists, it definitely brings a promise that, once fulfilled, can result in the cheapest, fastest, and most comprehensive solution for business continuity.

One great advantage of virtualisation over traditional BC (Business Continuity) methods is the relatively cheaper cost needed to achieve a certain level of business continuity assurance. Thus, more companies will find it easier to reach their required minimum for BC assurance. By contrast, some BCPs (Business Continuity Plan) based on a physical environment require companies to invest more than what they are willing to in order to reach the same minimum level of assurance.

Virtual machines, which can already encapsulate your operating systems and their corresponding applications, can be transported as a file from one machine running a compatible hypervisor to another. This makes the business continuity tasks of backup, replication, and restoration simpler and faster.

As of 2008, about 54% of IT professionals in Europe were willing to implement virtualisation within a maximum of two years. Furthermore, the expected compound annual growth rate of installed virtualised servers from 2008 to 2012 is already pegged at 33%.

If you want your organisation to take advantage of the benefits of this revolutionary technology, we’d be more than willing to help you discover what it can do for you. Then once you decide to make that transition to virtualisation, we can guide you every step of the way.

  • As not all applications are suited for virtualisation (e.g. some are too demanding on I/O and memory access), we’ll start by reviewing your entire IT system to see which portions can be implemented on a virtualized environment.
  • Using virtualisation and replication, we can conduct disaster recovery tests using up-to-date data without interrupting operations in your main IT site. Running these tests will increase your team’s preparedness and will allow you to discover possible weak points.
  • Provide a simple but comprehensive protection and backup system that encapsulates not only data, but also system configurations and application installations. This kind of setup allows for faster and easier disaster recovery operations. Because of these same characteristics, you can enjoy zero downtime while performing scheduled maintenance operations.
  • Since virtual machines are hardware-independent and transparent to operating systems, we can help you run a mix of legacy and new systems as well as open source and proprietary systems, allowing for more flexibility in your BCP budgeting.

We can also assist you with the following:

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2015 ESOS Guidelines Chapter 3 ? The ESOS Assessment

ESOS operates in tandem with the ISO 50001 (Energy Management) system that encourages continual improvement in the efficient use of energy. Any UK enterprise qualifying for ESOS that has current ISO 50001 certification on the compliance date by an approved body (and that covers the entire UK corporate group) may present this as evidence of having completed its ESOS assessment. It does however still require board-level certification, following which it must notify the Environment Agency accordingly.

The Alternate ESOS Route

In the absence of an ISO 50001 energy management certificate addressing comprehensive energy use, a qualifying UK enterprise must:

  1. Measure Total Energy Consumption in either kWh or energy spend in pounds sterling, and across the entire operation including buildings, industrial processes and transport.
  2. Identify Areas of Significant Energy Consumption that account for at least 90% of the total. The balance falls into a de minimis group that is officially too trivial to merit consideration.
  3. Consider Available Routes to Compliance. These could include ISO 500001 part-certification, display energy certificates, green deal assessments, ESOS compliant energy audits, self-audits and independent assessments
  4. Do an Internal Review to make sure that you have covered every area of significant consumption. This is an important strategic step to avoid the possibility of failing to comply completely.
  5. Appoint an Approved Lead Assessor who may be internal or external to your enterprise, but must have ESOS approval. This person confirms you have met all ESOS requirements (unless you have no de minimis exceptions).
  6. Obtain Internal Certification by one of more board-level directors. They must certify they are satisfied with the veracity of the reports. They must also confirm that the enterprise is compliant with the scheme.
  7. Notify the Environment Agency of Compliance within the deadline using the online notification system at snapsurveys.com as soon as the enterprise believes is fully compliant.
  8. Assemble your ESOS Evidential Pack and back it up in a safe place. Remember, it is your responsibility to provide proof of the above. Unearthing evidence a year later it not something to look forward to.

The ESOS assessment process is largely self-regulatory, although there are checks and balances in place including lead assessor and board-level certifications. As you work through what may seem to be a nuisance remember the primary objectives. These are saving money and reducing carbon emissions. Contact Ecovaro if we can assist in any way.

A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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