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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Enhance and Streamline IT Processes

You can’t be assured of a competitive advantage by just buying the latest technology. Your top competitor can easily match that feat by simply spending as much on the same tools. To be always at least a step ahead, you’ll need to perform tweaks on your IT processes aligned with the strengths of your organisation.

IT solutions are like a pair of sneakers. If they fit perfectly, they’ll help you run the extra mile. If they don’t, you can develop blisters faster than you can reach a single mile.

In all our efforts to enhance and streamline your IT processes, we’ll start by looking at all your logistical advantages, limitations, and objectives to determine which technologies suit you best. Once we’ve obtained them, we’ll perform the appropriate customisation to make them perform optimally under the conditions unique to your organisation.

Below are just some of the enhancements we can apply to your organisation:

  • Put up application and systems monitoring to identify bottlenecks and underutilised resources in your IT infrastructure.
  • Propose areas where you can plough back the generated savings to further improve your ROI.
  • Take scalability into consideration when pushing for certain IT investments to ensure that the IT solution will work for your organisation not only today but even as your organisation grows.
  • Introduce mobile-capable enterprise-class IT solutions that allow seamless collaboration between team members working at different locations on the globe so that pressing matters can be resolved and decisions can be arrived at as quickly as possible.
  • Integrate Business Intelligence into your IT system so that massive collections of data can be processed into insightful information which managers can draw on to make intuitive decisions.
  • Introduce avant-garde solutions, like virtualisation and infrastructure sharing, which may require large scale changes but can also significantly reduce operational costs.

Find out how we can increase your efficiency even more:

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How Mid-South Metallurgical cut Energy Use by 22%

Mid-South in Murfreesboro, Tennessee operates a high-energy plant providing precision heat treatments for high-speed tools – and also metal annealing and straightening services. This was a great business to be in before the energy crisis struck. That was about the same time the 2009 recession arrived. In no time at all the market was down 30%.

Investors had a pile of capital sunk into Mid-South?s three facilities spread across 21,000 square feet (2,000 square meters) of enclosed space. Within them, a number of twenty-five horsepower compressors plus a variety of electric, vacuum and atmospheric furnaces pumped out heat 27/7, 52 weeks a year. After the company called in the U.S. Department of Energy for assistance, several possibilities presented.

Insulate the Barium Chloride Salt Baths

The barium chloride salt baths used in the heat treatment process and operating at 1600?F (870?C) were a natural choice, since they could not be cooled below 1200?F (650?C) when out of use without hardening the barium chloride and clogging up the system. The amount of energy taken to prevent this came down considerably after they covered and insulated them. The recurring annual electricity saving was $53,000.

Manage Electrical Demand & Power

The utility delivers 480 volts of power to the three plants that between them consume between 825- and 875-kilowatt hours depending on the season. Prior to the energy crisis Mid-South Metallurgical regarded this level of consumption as a given. Following on the Department of Energy survey the company replaced the laminar flow burner tips with cyclonic burner ones, and implemented a number of other modifications to enhance thermal efficiency further. The overall natural gas reduction was 20%.

Implement Large Scale Site Lighting Upgrade

The 24/7 nature of the business makes lighting costs a significant factor. Prior to the energy upgrade this came from 44 older-type 400-watt metal halide fixtures. By replacing these with 88 x 8-foot (2.5 meter) fluorescent fittings Mid-South lowered maintenance and operating costs by 52%

The Mid-South Metallurgical Trophy Cabinet

These three improvements cut energy use by 22%, reduced peak electrical demand by 21% and brought total energy costs down 18%. Mid-South continues to monitor energy consumption at each strategic point, as it continues to seek out even greater energy efficiency in conjunction with its people.

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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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