Energy Management Tips

Energy management is of interest to various stakeholders; be it heads of facilities, heads of procurement, heads of environment and sustainability, financial officers, renewable energy managers and heads of energy. Some of the energy management tips that can be used to achieve considerable energy savings are:

1) Purchasing energy supplies at the lowest possible price

2) Managing energy use at peak efficiency

3) Utilising the most appropriate technology

1. Purchasing energy supplies at the lowest possible price
Purchasing energy supplies at the lowest possible price could be the starting point to great savings of energy costs. This can be achieved through switching your energy supplier. It is always advisable for companies to always take time to compare the energy tariffs to ensure they are on the best tariff and make great savings.

2. Managing energy use at peak efficiency

(a) Free help

There are some online tools that offer energy-efficiency improvements. These could come in handy in helping someone find out where to make energy-efficiency improvements.

(b) Energy monitors

An energy monitor is a gadget that estimate in real time how much energy you’re using. This can help one see where to cut back on energy consumption.

(c) Turning down thermostats

Turning down radiators especially in rooms that are rarely used/empty rooms or programming the heating to turn off when no one is there can go a long way in saving energy and energy costs.

(d) Use energy saving bulbs

Use of energy-saving light bulbs can cut down on energy usage drastically. Replacing all the light bulbs with energy-saving ones could make significant savings on energy usage and replacement costs since energy saving bulbs also have a longer life.

(e) Switching off unnecessary lights

It is also important to switch off lights that are not in use and to use the best bulb for the size of room.

(f) Sealing all heat escape routes

It is recommended that all gaps should be sealed in order to stop heat from escaping. Some of the heat escape routes are: windows, doors, chimneys and fireplaces, floorboards and skirting and loft hatches. The ways through which this can be achieved are:

? Windows- use of draught-proofing strips around the frame, brush strips work better for sash windows

? Doors – use of draught-proofing strips for gaps around the edges and brush or hinged-flap draught excluders on the bottom of doors

? Chimney and fireplace – inflatable cushions can be used to block the chimney or fit a cap over the chimney pot on fireplaces that are not used often

? Floorboards and skirting – Using a flexible silicon-based filler to fill the gaps

? Loft hatches – the use of draught-proofing strips can help to prevent hot air escaping
It is also important to consider smaller holes of air such as keyholes and letterboxes.

3. Utilising the most appropriate technology
Utilisation of technology as an energy management tool can be by way of choosing more energy efficient gadgets and by way of running technological gadgets in an energy efficient manner.

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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.

Are Master Data Management and Hadoop a Good Match?

Master Data is the critical electronic information about the company we cannot afford to lose. Accordingly, we should sanitise it, look after it, and store it safely in several separate places that are independent of each other. The advent of Big Data introduced the current era of huge repositories ?in the clouds?. They are not, of course but at least they are remote. This short article includes a discussion about Hadoop, and whether this is a good platform to back up your Master Data.

About Hadoop

Hadoop is an open-source Apache software framework built on the assumption that hardware failure is so common that backups are unavoidable. It comprises a storage area and a management part that distributes the data to smaller nodes where it processes faster and more efficiently. Prominent users include Yahoo! and Facebook. In fact more than half Fortune 50 companies were using Hadoop in 2013.

Hadoop – initially launched in December 2011 ? has survived its baptism of fire and became a respected, reliable option. But is this something the average business owner can tackle on their own? Bear in mind that open source software generally comes with little implementation support from the vendor.

The Hadoop Strong Suite

  • Free to download, use and contribute to
  • Everything you need ?in the box? to get started
  • Distributed across multiple fire-walled computers
  • Fast processing of data held in efficient cluster nodes
  • Massive scaleable storage you are unlikely to run out of

Practical Constraints

There is more to Hadoop than writing to WordPress. The most straightforward solutions are uploading using Java commands, obtaining an interface mechanism, or using third party vendor connectors such as ACCESS or SAS. The system does not replace the need for IT support, although it is cheap and exceptionally powerful.

The Not-Free Safer Option

Smaller companies without in-depth in-house support are wise to engage with a technical intermediary. There are companies providing commercial implementations followed by support. Microsoft, Amazon and Google among others all have commercial versions in their catalogues, and support teams at the end of the line.

Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.

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