Understanding Carbon Emissions

Carbon emission is one of the hottest issues in the world of energy and environment today. While it is supposedly an essential component of the ecosystem, it has already become a large contributing factor to climate change. Carbon emission might be good but abuse of this natural process has made it harmful to people across the globe.

This series of articles aims to help people understand the intricacies of carbon emission and what society can do to efficiently manage this natural occurrence.

Natural Carbon Cycle

Two important elements in the carbon cycle are carbon, which is present in every living thing all over the world; and oxygen, which is found in the air that people breathe. When these two bond together, they create a colourless and odourless greenhouse gas known as carbon dioxide, which is then crucial to trapping infrared radiation heat in the atmosphere and also for weathering rocks.

Carbon is not only found in the atmosphere of the earth. It is also an element found in oceans, plants, coal deposits, oil and natural gas from deep down the earth?s core. Through the carbon cycle, carbon moves naturally from one portion of the earth to another. Looking at this scenario, one can see that the natural carbon cycle is a healthy way to release carbon dioxide into the air in order to be absorbed again by trees and plants.

Altered Carbon Cycle

The natural circulation of carbon among the atmosphere is vital to humankind. However, studies show that humans misuse this natural cycle and abuse it instead. Whenever people burn fossil fuels such as coal, oil and natural gas, they produce carbon dioxide ? which is an excess addition to the natural flow of carbon in the environment. The problem is that the release of carbon dioxide is much more than what plants and trees can re-absorb. People are not only adding CO₂to the atmosphere, they are also influencing the ability of natural sinks, such as forests, to remove it from the atmosphere. Humans alter the carbon cycle by contributing doubled or tripled greenhouse gas to the atmosphere, faster than nature can ever eliminate. Worst, nature?s balance is destroyed.

The Result

Greenhouse gases include carbon dioxide, methane, nitrous oxide, fluorinated gas and other gases. Although these gasses contribute to climate change, carbon dioxide is the largest greenhouse gas that humans emit. The reason why people talk about carbon emissions most, is because we produce more carbon dioxide than any other greenhouse gas.

The increasing amount of carbon emissions cause global warming to become more evident. All the extra carbon dioxide causes the earth?s overall temperature to rise as well. As the temperature increases, climate also changes unpredictably. Flood, droughts, heat waves and hurricanes are now widely experienced even in places where these phenomenon never used to happen.

To be able to reduce the risk of more severe weather conditions means burning less fossil fuels and shifting more to renewable sources. This is never easy. But, definitely, it’s worth a try.

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Why Predictive Maintenance is More Profitable than Reactive Maintenance

Regular maintenance is needed to keep the equipment in your facility operating normally. All machinery has a design lifespan, and your goal is to extend this as long as possible, while maintaining optimal production levels. How you go about the maintenance matters, from routine checks to repairing the damaged component parts?all before the whole unit needs to be tossed away and a new one purchased and installed. Here, we will break down the different approaches used, and show you why more industries and businesses are turning to proactive maintenance modes as opposed to the traditional reactive approaches for their?field service operations.?

Reactive Maintenance: A wait and see game

Here, you basically wait for a problem to occur, then fix it. It’s also commonly referred to as a “Run-to-Failure” approach, where you operate the machines and systems until they break. Repairs are then carried out, restoring it to operational condition.?

At face value, it appears cost-effective, but the reality on the ground is far much different. Sure, when the equipment is new, you can expect minimal cases of maintenance. During this time, there?ll be money saved. However, as time progresses there?ll be increased wear, making reliance on a reactive maintenance approach a costly endeavour. The breakdowns are more frequent, and inconsistent as well. Unplanned expenses increase operational costs, and there will be lost productivity during the periods in which the affected machinery won’t be in operation.?

While reactive maintenance makes sense when you’re changing a faulty light bulb at home, things are more complicated when it comes to dealing with machinery in industries, or for those managing multiple residential and commercial properties. For the light bulb, it’s easier to replace it, and failure doesn’t have a ripple effect on the rest of the structures in the household. For industries, each time there is equipment failure, you end up with downtime, production can grind to a halt, and there will be increased environmental risks during equipment start-up and shutdown. If spare parts are not readily available, there will be logistical hurdles as you rush the shipping to get the component parts to the facility. Add this to overworked clients in a bit to complete the repair and to make up for lost hours and delayed customer orders.

For field service companies, more time ends up being spent. After all, there?s the need of knowing which parts needed to be attended to, where they are, and when the servicing is required. Even when you have a planned-out schedule, emergency repairs that are required will force you to immediately make changes. These ramps up the cots, affecting your operations and leading to higher bills for your client. These inconveniences have contributed to the increased reliance on?field service management platforms that leverage on data analytics and IoT to reduce the repair costs, optimise maintenance schedules, and?reduce unnecessary downtimes?for the clients.

Waiting for the machinery to break down actually shortens the lifespan of the unit, leading to more replacements being required. Since the machinery is expected to get damaged much sooner, you also need to have a large inventory of spare parts. What’s more, the damages that result will be likely to necessitate more extensive repairs that would have been needed if the machinery had not been run to failure.?

Pros of reactive maintenance

Less staff required.
Less time is spent on preparation.

Cons of reactive maintenance

Increased downtime during machine failure.
More overtime is taken up when conducting repairs.
Increased expenses for purchasing and storing spare parts.?
Frequent equipment replacement, driving up costs.?

This ?If it ain’t broke, don’t fix it? approach leads to hefty repair and replacement bills. A different maintenance strategy is required to minimise costs. Proactive models come into focus. Before we delve into predictive maintenance, let’s look at the preventive approach.?

Preventive Maintenance: Sticking to a timetable

Here, maintenance tasks are carried out on a planned routine?like how you change your vehicle?s engine oil after hitting a specific number of kilometres. These tasks are planned in intervals, based on specific triggers?like a period of time, or when certain thresholds are recorded by the meters. Lubrication, carrying out filter changes, and the like will result in the equipment operating more efficiently for a longer duration of time. While it doesn’t completely stop catastrophic failures from occurring, it does reduce the number of failures that occur. This translates to capital savings.??

The Middle Ground? Merits And Demerits Of Preventive Maintenance

This periodic checking is a step above the reactive maintenance, given that it increases the lifespan of the asset, and makes it more reliable. It also leads to a reduced downtime, thus positively affecting your company?s productivity. Usually, an 80/20 approach is adopted,?drawing from Pareto’s Principle. This means that by spending 80% of time and effort on planned and preventive maintenance, then reactive maintenance for those unexpected failures that pop up will only occur 20% of the time. Sure, it doesn’t always come to an exact 80/20 ratio, but it does help in directing the maintenance efforts of a company, and reducing the expenses that go into it.?

Note that there will need to be a significant investment?especially of time, in order to plan a preventive maintenance strategy, plus the preparation and delegation of tasks. However, the efforts are more cost effective than waiting for your systems and machinery to fail in order to conduct repairs. In fact, according to the US Dept. of Energy, a company can save between 12-18 % when using a preventive maintenance approach compared to reactive maintenance.

While it is better than the purely reactive approach, there are still drawbacks to this process. For instance, asset failure will still be likely to occur, and there will be the aspect of time and resource wastage when performing unneeded maintenance, especially when technicians have to travel to different sites out in the field. There is also the risk of incidental damage to machine components when the unneeded checks and repairs are being carried out, leading to extra costs being incurred.

We can now up the ante with predictive maintenance. Let’s look at what it has to offer:

Predictive Maintenance: See it before it happens

This builds on preventive maintenance, using data analytics to smooth the process, reduce wastage, and make it more cost effective. Here, the maintenance is conducted by relying on trends observed using data collected from the equipment in question, such as through vibration analysis, energy consumption, oil analysis and thermal imaging. This data is then taken through predictive algorithms that show trends and point out when the equipment will need maintenance. You get to see unhealthy trends like excessive vibration of the equipment, decreasing fuel efficiency, lubrication degradation, and their impact on your production capacities. Before the conditions breach the predetermined parameters of the equipment’s normal operating standards, the affected equipment is repaired or the damaged components replaced.??

Basically, maintenance is scheduled before operational or mechanical conditions demand it. Damage to equipment can be prevented by attending to the affected parts after observing a decrease in performance at the onset?instead of waiting for the damage to be extensive?which would have resulted in system failure. Using?data-driven?field service job management software will help you to automate your work and optimise schedules, informing you about possible future failures.

Sensors used record the condition of the equipment in real time. This information is then analysed, showing the current and future operational capabilities of the equipment. System degradation is detected quickly, and steps can be taken to rectify it before further deterioration occurs. This approach optimises operational efficiency. Firstly, it drastically reduces total equipment failure?coming close to eliminating it, extending the lifespan of the machinery and slashing replacement costs. You can have an orderly timetable for your maintenance sessions, and buy the equipment needed for the repairs. Speaking of which, this approach minimises inventory especially with regards to the spare parts, as you will be able to note the specific units needed beforehand and plan for them, instead of casting a wide net and stockpiling spare parts for repairs that may or may not be required. Repair tasks can be more accurately scheduled, minimising time wasted on unneeded maintenance.??

Preventive vs Predictive Maintenance?

How is predictive different from preventive maintenance? For starters, it bases the need for maintenance on the actual condition of the equipment, instead of a predetermined schedule. Take the oil-change on cars for instance. With the preventive model, the oil may be changed after every 5000?7500 km. Here, this change is necessitated because of the runtime. One doesn’t look at the performance capability and actual condition of the oil. It is simply changed because “it is now time to change it“. However, with the predictive maintenance approach, the car owner would ideally analyse the condition of the oil at regular intervals- looking at aspects like its lubrication properties. They would then determine if they can continue using the same oil, and extend the duration required before the next oil change, like by another 3000 kilometres. Perhaps due to the conditions in which the car had been driven, or environmental concerns, the oil may be required to be changed much sooner in order to protect the component parts with fresh new lubricant. In the long run, the car owner will make savings. The US Dept. of Energy report also shows that you get 8-12% more cost savings with the predictive approach compared to relying on preventive maintenance programs. Certainly, it is already far much more effective compared to the reactive model.?

Pros of Predictive Maintenance

Increases the asset lifespan.
Decreases equipment downtime.
Decreases costs on spare parts and labour.
Improves worker safety, which has the welcome benefit of increasing employee morale.
Optimising the operation of the equipment used leads to energy savings.
Increased plant reliability.

Cons of Predictive Maintenance

Initial capital costs included in acquiring and setting up diagnostic equipment.
Investment required in training the employees to effectively use the predictive maintenance technology adopted by the company.

The pros of this approach outweigh the cons.?Independent surveys on industrial average savings?after implementing a predictive maintenance program showed that firms eliminated asset breakdown by 70-75%, boosted production by 20-25%, and reduced maintenance costs by 25-30%. Its ROI was an average of 10 times, making it a worthy investment.

The Rights of Individuals Under The General Data Protection Regulation

The General Data Protection Regulation or GDPR is a European Union law reinforcing the rights of citizens concerning the confidentiality of their information, and confirming that they own it. We thought it would be interesting to examine the GDPR effective 25 May 2018 from an Irish citizen?s perspective. This article is a summary of information on the Data Protection Commissioner?s website, but as viewed through a businessperson?s lens.

How the Office Defines Data Protection

The Office believes that organisations receiving personal details have a duty to keep them private and safe. This applies inter alia to information that individuals supply to government, financial institutions, insurance companies, medical providers, telecoms services, and lenders. It also applies to information provided when they open accounts.

This information may be on paper, on computers, or in video, voice, or photographic records. The true owners of this information, the individuals have a right:

To make sure that it is factually correct
To the assurance that it is shared responsibly
That all with access only use it for stated purposes

Any organisation requesting personal information must state who they are, what the information is for, why they need to have it, and to whom else they may provide it.

Consumer Rights to Access Their Personal Information

Private persons have a right under the GDPR to a copy of all their information held or processed by a business. The regulation refers to such businesses as ?data controllers? as opposed to owners, which is interesting. They have to provide both paper and digital data, and ‘related information?.

Data controller fees for this are discretionary within limits. The request may be denied under certain circumstances. The data controller may release information about children to parents and guardians, only if it considers a minor too young to understand its significance. Other third parties such as attorneys must prove they have consent.

Consumer Rights to Port Their Data to Different Services

Since the personal information belongs to the individual, they have a right not only to access it, but also to copy or move it from one digital environment to another. The GDPR requires this be ?in a safe way, without hindrance to usability?. An application could be a banking client that wants to upload their transaction history to a third party price comparison website.

However, the right to data portability only applies to data originally provided by the consumer. Moreover, an automated method must be available for porting. Data controllers must release the information in an open format, and may not charge for the porting service.

Consumer Rights to Complain About Personal Data Abuse

Individuals have a right under the General Data Protection Regulation to have their information rectified if they discover errors. This right extends to an assurance that third parties know about the changes – and who these third party entities are. Data controllers must respond within one month. If they decline the request, they must inform the complainant of their right to further remedial action.

If a data controller refuses to release personal information to the owner, or to correct errors, then the Data Protection Office has legal power to enforce the consumer?s rights. The complainant must make full disclosure of the history of their complaint, and the steps they have taken themselves to attempt to set things right.

Further Advice on Getting Things Ready for 25 May 2018

The General Data Protection Regulation has the full force of law from 25 May 2018 onward, and supersedes all applicable Irish laws, regulations, and policies from that date. We recommend incorporating rights of data owners who are also your customers into your immediate plans. We doubt that forgetting to do so will cut much sway with the Data Commissioner. Remember, you have one month to respond to consumer requests, and only one more month to close things out subject to the matter being complex.

Without Desktop Virtualisation, you can’t attain True Business Continuity

Even if you’ve invested on virtualisation, off-site backup, redundancy, data replication, and other related technologies, I?m willing to bet your BC/DR program still lacks an important ingredient. I bet you’ve forgotten about your end users and their desktops.

Picture this. A major disaster strikes your city and brings your entire main site down. No problem. You’ve got all your data backed up on another site. You just need to connect to it and voila! you’ll be back up and running in no time.

Really?

Do you have PCs ready for your employees to use? Do those machines already have the necessary applications for working on your data? If you still have to install them, then that’s going to take a lot of precious time. When your users get a hold of those machines, will they be facing exactly the same interface that they’ve been used to?

If not, more time will be wasted as they try to familiarise themselves. By the time you’re able to declare ?business as usual?, you’ll have lost customer confidence (or even customers themselves), missed business opportunities, and dropped potential earnings.

That’s not going to happen with desktop virtualisation.

The beauty of?virtualisation

Virtualisation in general is a vital component in modern Business Continuity/Disaster Recovery strategies. For instance, by creating multiple copies of virtualised disks and implementing disk redundancy, your operations can continue even if a disk breaks down. Better yet, if you put copies on separate physical servers, then you can likewise continue even if a physical server breaks down.

You can take an even greater step by placing copies of those disks on an entirely separate geographical location so that if a disaster brings your entire main site down, you can still gain access to your data from the other site.

Because you’re essentially just dealing with files and not physical hardware, virtualisation makes the implementation of redundancy less costly, less tedious, greener, and more effective.

But virtualisation, when used for BC/DR, is mostly focused on the server side. As we’ve pointed out earlier in the article, server side BC/DR efforts are not enough. A significant share of business operations are also dependent on the client side.

Desktop virtualisation (DV) is very similar to server virtualisation. It comes with nearly the same kind of benefits too. That means, a virtualised desktop can be copied just like ordinary files. If you have a copy of a desktop, then you can easily use that if the active copy is destroyed.

In fact, if the PC on which the desktop is running becomes incapacitated, you can simply move to another machine, stream or install a copy of the virtualised desktop there, and get back into the action right away. If all your PCs are incapacitated after a disaster, rapid provisioning of your desktops will keep customers and stakeholders from waiting.

In addition to that, DV will enable your user interface to look like the one you had on your previous PC. This particular feature is actually very important to end users. You see, users normally have their own way of organising things on their desktops. The moment you put them in front of a desktop not their own, even if it has the same OS and the same set of applications, they?ll feel disoriented and won’t be able to perform optimally.

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