March 21, 2011
The United Nations estimates that in 2009, the world’s population was officially evenly split between rural and urban areas. However, this figure is not a static one—the organization contends that by 2050, almost 70 percent of the projected 9.1 people living on the planet will be living in cities.
Leaving aside the multiple matters tied to population growth in general, if the urban migration figures are correct, cities are going to have to find far more sustainable ways to power their cities—a matter that can be addressed by streamlining, and in some cases reconstructing, IT infrastructure.
A recent report by Microsoft, called "The Central Role of Cloud Computing in Making Cities Energy-Smart" examined the pending urban population push with a focus on refining city energy infrastructure. The authors claim that in order for cities to thrive in the wake of population explosions, they will “need to radically evolve their infrastructures.” This includes water, waste and other crucial systems, but as the report notes, it is “the evolution of energy infrastructure, in particular, that presents an important opportunity to make major reductions in GHG emissions, support economic development and maintain high quality of life in our cities.”
While at one time energy might have only meant power stations and the way electricity was served, the tide is changing. Now, instead of buildings (and a growing range of other structures and devices) being simply consumers of electricity, they are also producing it and sending it back to the grid.
This give and take relationship in the energy grid goes beyond buildings sending energy as well as consuming it. Newer modes of power generation and consumption like electric vehicles which consume power but also use their battery stores to send power back to the grid are on the horizon as are a number of other renewable systems to send and receive energy.
The problem now is to architect a system that takes these logistical problems of the smart grid and manages the complexity efficiently and in a manner that actually enhances power generation and dispersal. In other words, the time has come to turn those massive, power-chugging cloud data centers into the sources of more streamlined, efficient energy use and distribution—forcing them into their own sort of “give and take” relationship.
Maximizing the Power of Smart Grids
Today IBM and British Cable and Wireless announced that they were collaborating on a cloud computing system to monitor the use of power in over 50 million homes via their smart meters. The project, called the “UK Smart Energy Cloud” will “gather data many times a day from smart meters around the country and store it in a cloud hosted within the country. This data then will be sent to power utilities for analysis to aid in better planning for peak loads.
Smart meters have emerged to let utility companies will be more proficient in gauging demand, thus allowing them to plan ahead to prevent outages. While there are other potential benefits for smart meters, including the ability for customers to see when their electricity is cheapest, the goal to maximize energy use is paramount—both for consumers and power companies.
For true revolutionizing of energy infrastructure, however, it will take a great deal more IT horsepower since smart metering alone cannot provide the efficiency required for the big urban boom. A more integrated approach using information accessible anywhere via cloud-based platforms is needed. This is especially important because the nature of power operations is changing with far more “give back” via wind and other generation mechanisms that allow consumers to shift to providers.
There is no easy task in this mission to build sustainable IT infrastructures, according to Chris Johnston from the Network-Ready device unit at AT&T. He states that “Ultimately, the grid may be transformed into a wirelessly-controlled, digital network capable of handling complex, multi-directional flows of power. Communications and computing must be both cost effective and easy to install. These criteria greatly favor wireless communications and cloud computing. Companies capable of delivering the necessary wireless communications and cloud computing functionality must also be armed with outstanding service level agreements and disaster recovery capabilities.”
The Microsoft report also gave a hat tip to this complexity, noting that “the coordination of all of those supply sources is complex and requires significant understanding of where, when and how much power is available to satisfy the energy demands of growing cities. This is of course why the integration of sensors, monitoring equipment, advanced control systems and information technologies to collect this supply-side data and turn it into useful, actionable information is important.”
A Data Market for Energy Efficiency
As more renewable energy sources become more pervasive, bringing with them a need to interact with the grid (versus simply be a consumer of its resources) there will need to be a way to merge these elements into the infrastructure. As the Microsoft report on this issue noted, “optimizing energy efficiency across these interconnected systems at the city level requires the secure and reliable collection of massive amounts of data from sensors, meters and controls embedded within these complex systems.
In Microsoft’s view, cloud computing could be the key to providing a flexible platform to bring together these disparate sensors, meters and measurements so that energy efficiency can be streamlined into one system. They note that “developers will be able to deliver new solutions, such as weather forecasts, energy pricing and traffic conditions.” Along with this is other data that can be particularly useful when culled into the big picture cloud platform. This could include building occupancy, energy performance, manufacturing and other activity and even shipping or distribution schedules.
To help developers focused on building smarter city infrastructures, Microsoft has opened its Windows Azure DataMarket, which the company claims will enable “the discovery, exploration and consumption of data from trusted public domains and commercial data sources such as demographics, health, location-based services, real estate, science, transportation, navigation, weather, finance, etc.” This market for data also provides visualizations and analytics to help developers “see” the data and its wider implications.
In essence, by providing a complex “mashup” of this data, developers will be to create total systems that are integrated for energy efficiency by use of the vast amount of data pertaining to urban elements that might, at first anyway, appear to have little to do with the grid. In short, “applications and services that leverage such a diverse portfolio of disparate data sets will enable new insights for citizens, governments and utilities on how to manage energy infrastructure in real time.”
The company notes that developers can make use of this data on any platform and can incorporate the data via a common API to mobile, desktop and web-based applications. This centralization of information for energy efficient planning (and beyond, the commercial applications are limited only by imagination—and will likely be the primary use) will allow developers unprecedented ease in terms of creating specific local mashups to aid in effective energy use and distribution.
The report out of Redmond, “IT for Energy Smart Cities” notes that this movement to cull data from a range of source to aid in more efficient energy distribution and use is already taking shape. It notes that ISVs are system integrators are already “taking advantage of high performance and cloud computing platforms to deliver solutions and services that address the needs of this evolving energy infrastructure.” According to Microsoft, many of these ISVs and Sis are already players in the power and grid space and are pulling together pieces of information related to everything from building design and management to transportation systems.
Microsoft claims that the “work to evolve energy smart cities is focusing on these major intersecting infrastructures—power generation and grid, buildings, transportation systems and the security, privacy, reliability and accessibility of the general information backbone that connects them.”
Bringing it all Together
Chris Johnston’s assessment that there are big challenges ahead on a number of fronts shouldn’t be taken lightly. Before the merging of disparate technologies and sources of energy production and consumption some core refinements and modernization measures are needed.
Some groups are addressing such challenges, including a team of researchers out of the University of Pittsburgh’s Swanson School of Engineering. The group recently announced that they have embarked on a long-term mission to integrate more efficient power delivery systems into the expanding American power grid. As a release this week noted, “by employing the same simulation technology used to design and engineer electricity grids, the researchers will model an expanded power grid that delivers electricity from the power plant to our homes and businesses with less infrastructure and a more reliable and efficient flow of electricity.”
This attempt to reconstruct infrastructure would allow for better conservation and also will make it simpler to look to more renewable sources of energy that are generated in remote locations. As one of the lead researchers for the project, Gregory Reed, noted the issue with power delivery in the U.S. is related to consistency. He explains:
“Electricity in the United States is generated, transported and delivered by alternating current (AC). But modern devices—from renewable power resources and electric vehicles to high-definition televisions, data center, computers and other devices take a direct current (DC) input, hence the AC/DC converters.” In short, systems that were once adequate are now strained due to a lack of IT infrastructure to support added complexity.
Others are looking at the roles that smart meters can play within paradoxical issue of cloud computing data centers themselves. In other words, they are examining how data centers that provide the cloud power to create better efficiency can themselves become more central to overall local efficiency.
The cloud can provide a robust, scalable system to manage fluctuating demand and input/output of information as well as serve as a springboard for creative teams of developers. However, it’s a long road ahead. In the meantime, the urban migration continues to build, making the work to support energy efficiency via cloud computing (and other IT innovations) an urgent matter.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
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