What Energy Management Software did for CDC

Chrome Deposit Corporation ? that’s CDC for short ? reconditions giant rollers used to finish steel and aluminium sheets in Portage, Indiana by applying grinding, texturing and plating methods. While management was initially surprised when the University of Delaware singled their plant out for energy assessment, this took them on a journey to bring energy consumption down despite being in an expansion phase.

Metal finishing and refinishing is an energy-intensive business where machines mainly do the work while workforces as small as 50 individuals tend them. Environmental impacts also need countering within a challenging environment of burgeoning natural gas and electricity prices.

The Consultant’s Recommendations

The University of Delaware was fortunate that Chrome Deposit Corporation had consistently measured its energy consumption since inception in 1986. This enabled it to pinpoint six strategies as having potential for technological and process improvements.

Insulate condensate tanks and pipes
Analyse flue gas air-fuel ratios
Lower compressed air pressures
Install stack dampers on boilers
Replace belts with pulleys and cogs
Fit covers on plant exhaust fans

CDC implemented only four of the six recommendations. This was because the boiler manufacturer did not recommend stack dampers, and the company was unable to afford certain process automation and controls.

Natural Gas Savings

The project team began by analysing stack gases from boilers used to heat chrome tanks and evaporate wastewater. They found the boilers were burning rich and that several joints in gas lines were leaking. Correcting these issues achieved an instant gas saving of 12% despite increased production.

Reduced Water Consumption

The team established that city water was used to cool the rectifiers. It reduced this by an astonishing 85% by implementing a closed-loop system and adding two chillers. This also helped the water company spend less on chemicals, and energy to drive pumps, purifiers and fans.

Summary of Benefits

Electricity consumption reduced by 18% in real terms, and natural gas by 35%. When these two savings are merged they represent an overall 25% energy saving. These benefits were implemented across the company?s six other plants, resulting in benefits CDC management never dreamed of when the University of Delaware approached them.

ecoVaro offers a similar data analytics service that is available online worldwide. We have helped other companies slash their energy bills with similarly exciting results. We?ll be delighted to share ideas that only data analytics can reveal.

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2015 ESOS Guidelines Chapter 3 to 5 ? 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:

Measure Total Energy Consumption in either kWh or energy spend in pounds sterling, and across the entire operation including buildings, industrial processes and transport.
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.

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

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.

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).

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.

Notify the Environment Agency of Compliance within the deadline using the online notification system as soon as the enterprise believes is fully compliant.

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.

Proactive Preventative Maintenance: How IoT and Field Service Management Software Helps

FieldElite, our mobile workforce management software, has been key to several industries? return on investment. Whether it’s for plumbing, electrical, property management, cleaning, and maintenance, FieldElite has provided data centralisation for efficient management of these business activities.

Field service management software is important to utilise current workload, and also helps resolve future issues. We’re talking about a proactive approach to preventative maintenance.

How exactly do field service managements help in preventative maintenance?

The answer lies in how field service management is interlinked with IoT in predicting future jobs for the mobile service industry.

What is IoT?

Simply put, the Internet of Things (IoT) is a network of devices and sensors connected to the internet. These ?things? (e.g. your smartphone or smartwatch) enable data to be sent and be received without human intervention.

Fundamentally, IoT is about devices being connected to the internet to allow remote monitoring.

For many years now, remote monitoring for IT infrastructure has been widely used.

What’s new that we’re experiencing right now is even the smallest devices ? individual light bulbs and sensors ? can have a network and internet connection, allowing entire systems to be monitored in great detail.

Implementing IoT and accessing data can be challenging for most service organisations. However, when combined with predictive analytics and field management software, it can have a huge potential impact on individual businesses and the service industry as a whole.

What is Preventative Maintenance?

Preventive maintenance refers to regular, routine maintenance to help keep equipment up and running, preventing any unplanned downtime and expensive costs from unanticipated equipment failure.

The goal of preventative maintenance is to decrease the likelihood of a machine or an equipment’s failure by performing regular maintenance.

Preventative management can be very complex, especially for companies with a fleet of equipment or customers. It requires careful planning and scheduling of maintenance on equipment before there is an actual problem.

Also, preventive maintenance is evolving. It’s not just about scheduling the same work every month to prevent failure anymore. Today, working smarter with better information about equipment conditions is critical to ensure maintenance is effective.

That’s where IoT and field service management software, like FieldElite, comes in. Together, they organise and carry out preventive maintenance needs for service industries.

How IoT and FieldElite Helps in Preventative Maintenance

With FieldElite and IoT technology, you get the best in preventive maintenance management.

Evaluation of equipment or machines ? the condition of machines or equipment is evaluated in order to predict when maintenance needs to be performed.
Automated work order ? automated time-based work order creation
Full condition-based plans allows you to do the following:
- Right-size your maintenance work
- Lower costs
- Extend the life of your or customer?s assets

Quicker reporting ? due to its efficient and automated nature, IoT and field service management software can reduce a field technician?s average report time from two weeks to two days, therefore boosting your cash flow!

That’s the most important result a mobile service management software can produce (in connection with preventative maintenance). It’s cost-saving! This can be achieved over routine or time-based preventive maintenance, as tasks are only performed when they are needed.

The Internet of Things (IoT) and field service management software is changing field service as we know it.

Companies who adapt and utilise these technologies will benefit the most from the resulting competitive advantage of preventative maintenance.

Start elevating every field service experience now!

Our field service software, FieldElite helps you:

Accepts jobs in the field
Automate appointment scheduling
Manage scheduled jobs
Get real-time visibility into all operations
Have a clear and easy viewing of job locations
Resolve field service calls faster
Enable mobile workers to get the job done right
Keep customers updated at every step
Create quotations and accept payments
Analyse efficient reports from field technicians
Helps in proper preventative maintenance management.

Learn how to schedule jobs to field workers with ease. Check out FieldElite!

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We tailor a demonstration of our platform and solutions to align to your specific needs
We answer any questions and make sensible recommendations

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The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.