Benefits of Energy Savings Opportunity Scheme (ESOS)

More than just building energy, improving skills and undertaking audits, Energy Savings Opportunity Scheme works beyond. ESOS adheres to policy coherence, provides information to raise awareness, facilitates energy efficiency market and encourages adoption of appropriate energy efficiency measures.

Generally, ESOS is great for energy professionals and businesses. And in the current situation of UK?s energy industry, this new scheme is a substantial help. The key is to know the benefits that ESOS provides, understand how it can affect you, learn how to maximise its potential and make a big difference. Here?s to explore the highlights of ESOS.

Who benefits from ESOS?

Energy Savings Opportunity Scheme covers non-SME enterprises which includes UK businesses having more than 250 employees; even those with employees fewer than 250 but have annual turnover of more than ?50m and balance sheet exceeding ?43m; or those professionals that belong to a large enterprise. This is in accordance with what Article 8 of the EU Derivative provides.

What are the benefits of ESOS?

ESOS provides opportunities to enhance an organisation’s energy efficiency strategy, of which the benefits include:

Economic Growth and Competitiveness

The implementation of energy efficient measures increases local employment in the labour markets. Consequently, this taps the labour potential and drives economic growth.? In a lower carbon economy, businesses need to develop green projects to maintain economic competitiveness as well. ESOS is strategic approach initiated by the UK government to push technological innovation and energy investments.

Cost Savings and Emission Reductions

ESOS is flexible in such a way that it combines energy policies and innovations tailored to every organisation’s need. The energy efficiency measures taken, resulting from the scheme, quickly cuts down both carbon emissions and energy bills at cheapest possible ways.

Managing Energy Demand

ESOS provides energy security to UK by reducing the energy consumption of enterprises. With this, the economy would be more efficient and less exposed to international energy market volatility. Also, this will lead to more savings from less future investment in energy infrastructure.

Getting your Management Performance Noticed

If you are an energy professional, you will benefit from ESOS by exploiting it ?to boost your charisma towards the company directors. You can show them how the scheme works and how it can save your company substantial costs. Managing energy with ESOS can help an organisation grow. Nevertheless, you are the key person designated to get the project done and achieve success.

How can ESOS make a difference?

More than anything else, ESOS can make a huge change. True to its name, it provides large enterprises the opportunity to manage energy wisely, reduce overhead costs and promote responsible corporate energy consumption.

The International Energy Agency said that investing in energy efficiency leads to growth, additional jobs, competent budgets on public spending and enhanced industry productivity. If you are an energy and environment professional or a non-SME business entity, you hold the impulse to act. Aside from all those excellent business benefits that you get to enjoy, you will be able to contribute a portion towards achieving UK?s national carbon target of 80% in CO2 by 2050.

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A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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Failure Mode and Effects Analysis

 

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

  • Discover the possible risks that can come with a product or process;
  • Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
  • Monitor the action plan results, with emphasis on how risk was reduced.

Find out more about our Quality Assurance services in the following pages:

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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