Measure it to manage it with smart meters

Measure it to manage it. This saying applies perfectly to energy management. Effectively managing energy use is virtually impossible with unreliable measurement devices in place or worse still, no measurements at all. Smart meters are a smart way to measure energy and water usage giving you more control over the amount of energy or water usage.

Smart energy meters:
Smart meters are indeed a smart way to get insight into your energy use which brings more security and a better environment. They can also enable you to get Smart Energy Reports that are a personalised guide to energy efficiency.

Other benefits of smart meters:

? You are able to generate simple graphs and charts showing you where you use your energy and money

? Consumption of gas and electricity is broken down. This implies that one can be able to view their spending at a glance

? Smart meters track consumption on a monthly basis enabling you to compare your own consumption against other similar households

? By tracking energy consumption and spending over time, one can be able to view the history and assess the impact of their energy efficiency measures over a particular period

Smart water meters:
Smart meters are not only used for measuring energy use, they are also used to measure water usage efficiency. Water efficiency is essential for management of sustainable water resources.

Water resources have been diminishing over time posing a challenge for water users and water suppliers to seriously look for ways to manage water efficiency. The need for accurate, adequate and reliable measurement and monitoring practices of water consumption in organisations can therefore not be overlooked.

Timely collection and analysis of water use data, and relaying this data in a timely manner to the water user, can result in significant changes in water use behaviour. Other benefits include instant detection of areas where water wastage is occurring e.g. leakages hence action is taken to save water. Similar to energy data, water data collected by smart metering systems is also vital in designing water efficiency and recycling systems as well as the improvement of demand management policies and programs.

The use of smart meters to monitor water consumption enables users to analyse, and interpret the data collected. This feedback enables users to change their behaviours.

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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:

  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.
  1. 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
  1. 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.
  1. 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).
  1. 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.
  1. Notify the Environment Agency of Compliance within the deadline using the online notification system as soon as the enterprise believes is fully compliant.
  1. 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.

Shared Services ? Are They A Good Idea

Things happen fast in business and we need to stay on top. It does not seem long ago that some enterprises were still hands-on traders or artisans with a few youngsters to help out. People like that did not do admin and their accounting was a matter of making sure there was enough money in the jar.

When Wal-Mart’s Sam Walton took over his first shop in 1945 things had moved on from there, although he did still deal directly with his customers. When he died his legacy was 380,000 jobs, and a business larger than most economies. So there?s plenty we can learn from how he grew his business.

One of Sam?s secrets was his capacity to centralise what needed gathering together, while empowering store managers to think independently when it came to local conditions. His regional warehouses had individual outlets clustered around them within one day?s drive each. This shared service eliminated 90% of safety stock and released capital for expansion.

Wal-Mart took sharing services a step further in February 2006, when it centralised accounts payable, accounts receivable, general accounting and human resources administration at Wal-Mart Stores and Sam?s Clubs in the U.S. and Puerto Rico. The objective was to bring costs down, while allowing local managers more time to focus on their business plans and other initiatives. As a further spin-off, Wal-Mart was able to integrate its data on a single SAP platform and eliminate significant roadblocks.

This is an excellent example of sharing services by creating own centres of excellence.? Of course, this is not the only business possibility. Other corporates have successfully completely outsourced their support activities, and Wal-Mart has no doubt had a variety of similar offers too. But, is the Wal-Mart picture entirely rosy, or is there a catch?

The Association of Chartered Certified Accountants has indicated that top talent may be the loser globally. This is because the Wal-Mart model removes many challenges through standardisation, and offers less scope for internal promotion as a result. Language and cultural differences may also have a long-term detrimental effect on the way the departments work well together.

Local outsourcing ? this is the business model where several firms engage a shared service provider independently- may hence prove to be a more malleable option for smaller companies. It often makes more sense to hunt down made-to-order services. Offerings such as the professional support we offer on this site.

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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