Big Energy Data Management

Recent times have seen the advent of cloud based services and solutions where energy data is being stored in the cloud and being accessed from anywhere, anytime through remote mobile devices. This has been made possible by web-based systems that can usually bring real-time meter-data into clear view allowing for proactive business and facility management decisions. Some web based systems may even support multi utility metering points and come in handy for businesses operating multiple sites.

Whereas all this has been made possible by increased use of smart devices/ intelligent energy devices that capture data at more regular intervals; the challenge facing businesses is how to transform the large data/big volume of data into insights and action plans that would translate into increased performance in terms of increased energy efficiency or power reliability.

A solution to this dilemma facing businesses that do not know how to process big energy data, may lie in energy management software. Energy management software?s have the capability to analyse energy consumption for, electricity, gas, water, heat, renewables and oil. They enable users to track consumption for different sources so that consumers are able to identify areas of inefficiency and where they can reduce energy consumption, Energy software also helps in analytics and reporting. The analytics and reporting features that come with energy software are usually able to:

? Generate charts and graphs ? some software?s give you an option to select from different graphs

? Do graphical comparisons e.g. generate graphs of the seasonal average for the same season and day type

? Generate reports that are highly customisable

While choosing from the wide range of software available, it is important for businesses to consider software that has the capacity to support their data volume, software that can support the frequency with which their data is captured and support the data accuracy or reliability.

Energy software alone may not make the magic happen. Businesses may need to invest in trained human resources in order to realise the best value from their big energy data. Experts in energy management would then apply human expertise to leverage the data and analyse it with proficiency to make it meaningful to one?s business.

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Saving Energy Step 5 – Bringing it together

We hope you have been enjoying our series of short posts regarding saving energy, so what we use we can sustain. We have tried to make a dry subject interesting. After you read this post please comment, and tell us how it went. We are in the environment together. As the man who wrote ?No Man is an Island? said, ?if a clod be washed away somewhere by the sea, Europe is the less? and Europe was his entire world.

The 4 Steps we wrote about previously have a multiplier effect when we harness them together

  1. Having a management system diffuses office politics and pins accountability in a way that not even a worm could wriggle
  2. This defines the boundaries for senior managers and empowers them to implement practical improvements with confidence
  3. The results feed back into lower energy bills: this convinces the organisation that more is possible
  4. This dream filters through all levels of the organisation, as a natural team forms to make work and home a better place.

None of this would be possible without measuring energy consumption throughout the process, converting this into meaningful analytics, and playing ?what-if? scenarios against each other to determine where to start.

The 5th Step to Energy Saving that brings the other four together can double the individual benefits as innovative power flows between them. The monetary savings are impressive and provide capital to go even further. Why not allow us to help you manage what we measure together.

ecoVaro turns your numbers into meaningful analytics, makes suggestions, and stays with you so we can quantify your savings as you make them. We should talk about this soon.

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Spreadsheet Risk Issues

It is interesting to note that the riskiness of operational spreadsheets are overlooked even by companies with high standards of risk management. Only when errors amount to actual losses do they realize that these risks have been staring them in the face all along.

Common spreadsheet risk issues

Susceptibility to trivial manual errors

Due to the fundamental structure of spreadsheets, a slight change in the formula or value in any of their inhabited cells may already affect their overall output. An

  • accidental copy-paste,
  • omission of a negative sign,
  • erroneous range selection,
  • incorrect data input or
  • unintentional deletion of a character,cell, range, column, or row

are just some of the simple errors spreadsheet users frequently encounter. Rarely are there any counter-checking controls in place in a spreadsheet-based activity and manual errors therefore easily go undetected.

Possibility of the user working on the wrong version

How do you store spreadsheet files?

Since the most common reports are usually generated on a monthly basis, users tend to store them using variations of these two configurations:

spreadsheet storage

If you notice, a user can accidentally work on the wrong version with any of these structures.

Prone to inconsistent company-wide reporting

This happens when a summary or ?final? spreadsheet is fed information by different departments coming from their own spreadsheets. Even if most of the data in their spreadsheets come from one source (the company-wide database), erroneous copy-pasting and linking, or even different interpretations of the same data can result to contradicting information in the end.

Often defenceless against unauthorised access

Some spreadsheets contain information needed by various individuals or department units in an organisation. Hence, they are often shared via email or through shared folders in a network. Now, because spreadsheets don’t normally use any access control, any user can easily open a spreadsheet file and view or modify the contents as he wishes.

Highly vulnerable to fraud

A complex spreadsheet system with zero or very minimal controls provides the perfect setting for would-be fraudsters. Hidden cells with malicious formulas and links to bogus information can go unnoticed for a long time especially if the final figures don’t deviate much from expected values.

Spreadsheet risk mitigation solutions may not suffice

Inherent complexity makes testing and logic inspection very time consuming

Deep testing can uncover possible errors hidden in spreadsheet cells and consequently mitigate risks. But spreadsheets used to support financial reporting are normally large, complex, highly-personalised and, without ample supporting documentation, understandably hard to follow.

No clear ownership of risk management responsibilities

There?s always a dilemma when an organisation starts assigning risk management responsibilities for spreadsheets. IT personnel believe users in the business side of the organisation should be responsible since they are the ones who create, edit, store, duplicate, and share the spreadsheet files. On the other hand, users believe IT should be responsible since they have always been in-charge of managing IT infrastructure, applications, and files.

To get rid of spreadsheet risks, you’ll have to get rid of spreadsheets altogether

One remedy is to have a risk management activity that involves both IT personnel and spreadsheet users. But wouldn’t you want to get rid of the complexity of having to distribute the responsibilities between the two parties instead of just one?

Learn more about Denizon’s server application solutions and how you can get rid of spreadsheet risk issues.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


Spreadsheet Reporting – No Room in your company in an age of Business Intelligence


Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


Spreadsheet Fraud


Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

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FUJIFILM Cracks the Energy Code

FUJIFILM was in trouble at its Dayton, Tennessee plant in 2008 where it produced a variety of speciality chemicals for industrial use. Compressed-air breakdowns were having knock-on effects. The company decided it was time to measure what was happening and solve the problem. It hoped to improve reliability, cut down maintenance, and eliminate relying on nitrogen for back-up (unless the materials were flammable).

The company tentatively identified three root causes. These were (a) insufficient system knowledge within maintenance, (b) weak spare part supply chain, and (c) generic imbalances including overstated demand and underutilised supply. The maintenance manager asked the U.S. Department of Energy to assist with a comprehensive audit of the compressed air system.

The team began on the demand side by attaching flow meters to each of several compressors for five days. They noticed that – while the equipment was set to deliver 120 psi actual delivery was 75% of this or less. They found that demand was cyclical depending on the production phase. Most importantly, they determined that only one compressor would be necessary once they eliminated the leaks in the system and upgraded short-term storage capacity.

The project team formulated a three-stage plan. Their first step would be to increase storage capacity to accommodate peak demand; the second would be to fix the leaks, and the third to source a larger compressor and associated gear from a sister plant the parent company was phasing out. Viewed overall, this provided four specific goals.

  • Improve reliability with greater redundancy
  • Bring down system maintenance costs
  • Cut down plant energy consumption
  • Eliminate nitrogen as a fall-back resource

They reconfigured the equipment in terms of lowest practical maintenance cost, and moved the redundant compressors to stations where they could easily couple as back-ups. Then they implemented an online leak detection and repair program. Finally, they set the replacement compressor to 98 psi, after they determined this delivered the optimum balance between productivity and operating cost.

Since 2008, FUJIFILM has saved 1.2 million kilowatt hours of energy while virtually eliminating compressor system breakdowns. The single compressor is operating at relatively low pressure with attendant benefits to other equipment. It is worth noting that the key to the door was measuring compressed air flow at various points in the system.

ecoVaro specialises in analysing data like this on any energy type.?

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