While much of the focus on reducing environmental impact has
been placed on converting to renewable energy sources, some have overlooked the
importance that IT systems can play. Reducing impact by improving efficiencies
is a more cost effective way of cutting emissions without requiring as much
investment. In fact, correct power management is one of the most powerful tools that green IT has to offer. This alone makes green IT a number one reason for businesses and management to implement.
To be able to cut energy uses and achieve greater efficiency, one
must know exactly the energy supply and demand of their system. This approach
has created the need for IT systems that can show real time data and use it to
forecast energy needs in the future.
Simply put, “you can’t manage what you can’t measure.”
At the University of Iowa, an Energy
Control Center was created with IT systems that would allow the university to
monitor their power plant production of steam, electricity, and chilled water
and relate it to the demands of the buildings on campus. This central system
allows weather forecasts and building energy levels to forecast how much energy
production should be brought on or offline in the power plant.
The Control
Center is not just a way to save money and energy, but also a learning tool
that allows the public to access campus buildings’ energy usage at any given
time. It is one demonstration of how many organizations around the world are
looking to IT departments to help them become greener.
There are obviously some challenges to this approach. By predicting patterns, things become very aligned to usual procedures. If however anything out of the ordinary happens, problems could occur. Stronger storms or unexpected colder weather could threats like that. Taking electricity produced through an atomic reactor as an example, if suddenly more energy is required, the reactor would require at least a day to increase production again to meet the demand. Usually, this results in blackouts until then. As with every challenge though, this only represents an opportunity to improve further.
Similar energy analytics software examples include ERACS and ZEUS. They provide the same benefits to businesses who have high energy usage: pattern analysis, need recognition and output optimization and suggestions.
There are obviously some challenges to this approach. By predicting patterns, things become very aligned to usual procedures. If however anything out of the ordinary happens, problems could occur. Stronger storms or unexpected colder weather could threats like that. Taking electricity produced through an atomic reactor as an example, if suddenly more energy is required, the reactor would require at least a day to increase production again to meet the demand. Usually, this results in blackouts until then. As with every challenge though, this only represents an opportunity to improve further.
Similar energy analytics software examples include ERACS and ZEUS. They provide the same benefits to businesses who have high energy usage: pattern analysis, need recognition and output optimization and suggestions.
In conclusion, energy control systems are a form of business intelligence and analysis. By learning from usage patterns one can reduce costs and optimize resource allocation. This is a great business value proposition, not just to energy producers, but also to companies that require a lot of energy. Analyzing and adapting leads to correct power management. In turn, this becomes a correct implementation of green IT.
If you want to stay updated on the latest trends in green IT, follow us on Twitter and like us on Facebook.
If you want to stay updated on the latest trends in green IT, follow us on Twitter and like us on Facebook.
No comments:
Post a Comment