IEEE is sponsoring a series of forums on emerging technologies. The first event is on the smart grid, which takes place at the Computer History Museum, Santa Clara, CA on Monday, 30 November 2009 from 5:00 PM PT – 7:30 PM PT but will also be webcast here.
The Edison Electric Institute estimates that in the next five to six years, close to 60 million smart meters will be installed in the United States. Most of the country’s largest and best-known electricity distributors will be giving their customers a tool that they can use to conserve energy and save money—and that the companies themselves can use to improve reliability, maintenance, and book-keeping. The data requirements associated with the smart grid roll-out will be prodigious and a new business opportunity for semiconductor companies and the companies which partner with them.
But what are those opportunities exactly, and what engineering challenges must be met to seize the day successfully? Specifically, how do power system data differ from (say) travel, sales, or traffic data? What about storage and data security requirements? Are there processing problems that are essentially different from those encountered in other kinds of large, complex systems?
Speakers:
Dean Samara-Rubio, Intel Corporation, Architecture & Strategy, Intel Open Energy Initiative
Farrokh Albuyeh, Ph.D., Open Access Technology International Vice President, Market Services & Consulting www.oati.com
Shmuel Shaffer, Ph. D., Senior Director -Smart Grid, Cisco
Chris Knudsen, Director of the Technology Innovation Center at Pacific Gas & Electric Company
It’s great to see major technology companies like Microsoft, Google and IBM place an emphasis on finding solutions to mitigate climate change. These companies have some very talented engineering staff that could likely make a big difference. Recently, IBM has poured a lot of money into marketing their “smarter cities” program. The website, unfortunately, reads like a giant heap of cleantech-utopia used-car salesman babble. “Safe neighborhoods. Quality schools. Affordable housing. Traffic that flows. It’s all possible…” with IBM! Case in point, this lovely vacuous pitch about IBM’s vision for “Smarter Cities.”
However, the New York Times recently detailed an IBM Smarter Cities program that is, apparently, more than just hype: they are starting a project in Dubuque, Iowa that, “over the next several years will use sensors, software and Internet computing to give the city’s government and citizens the digital tools to measure, monitor and alter the way they use water, electricity and transportation.”
I.B.M. already has a number of computer-services projects with cities around the world, from traffic management systems in Stockholm and London to a smart-grid electricity system in Amsterdam, to water management in Shenyang, China. A goal in each is to conserve resources and reduce energy consumption and carbon emissions.
The Dubuque effort stands out not only because it is in the United States, but also because it marks I.B.M.’s most comprehensive approach to these digitally enhanced public services — water, electricity and transportation. “We’re trying to make Dubuque into the first integrated, smart city,” said Robert Morris, vice president of services research at I.B.M.
The benefits, Mr. Morris added, could well extend beyond water, electricity and transportation. For example, housing development and traffic management could be modeled and policies adopted for other goals like “making sure you have a walkable city.”
The first phase will involve installing digital water and electricity meters in 250 homes and businesses. The smart water meters include special low-flow sensing technology from a local manufacturer, A.Y. McDonald, that will help the public works department and residences reduce water use and detect leaks. An estimated 30 percent of households use water unnecessarily because of undetected leakage in faucets and toilets.
The smart electric meters will help households track their energy use and conserve. They will be able to tap into a Web site and, for example, set household temperatures a few degrees cooler in the winter or warmer in the summer — and model the savings in energy use and monthly bills.
Sounds very technocentric but worth keeping an eye on. In particular, the water sensing stuff seems very relevant to our recent work with HydroSense–a water sensing system that can identify water usage down to the source (e.g., dishwasher, kitchen sink). We have also begun looking at leak detection and identification.
“Smart cities” have recently also emerged as a topic of academic inquiry–the key idea being that traffic sensors, cameras, and even mobile phones all potentially provide data that can be used to understand and model the city. We did a bit of this work on shared bicycling–i.e., what does shared bicycling data reveal about a city? Marcus Foth has a book called Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City, which is a collection of essays on “smart cities” research. The senseable city lab directed by Carlo Ratti is also a great place to check out for work in this area.
Most people are unaware of how their daily activities affect the environment. Previous studies have shown that feedback technology is one of the most effective strategies in reducing electricity usage in the home. In this position paper, we expand the notion of feedback systems to a broad range of human behaviors that have an impact on the environment. In particular, we enumerate five areas of consumption: electricity, water, personal transportation, product purchases, and garbage disposal. For each, we outline their effect on the environment and review and propose methods for automatically sensing them to enable new types of feedback systems.
I had two primary goals in mind while writing this paper:
to inform the reader, particularly HCI practicioners and researchers, about the ways in which environmentally impactful human behaviors can be sensed
to inspire thinking about ways in which these new types of sensor data may be aggregated, analyzed, and fed back to the individual in order to increase awareness about environmentally impactful activities and motivate sustainable behaviors.
Needless to say, a paper such as this begs the question, even if we can automatically sense human activities that impact the environment, should we? Whenever we talk about sensing and automatic detection, Orwellian fears come to mind. These fears are certainly justified. My hope would be that human behavior data need not go beyond the user’s own device. This does not all together eliminate the problem (e.g., the device could be compromised) but certainly mitigates it. A better question is, perhaps: is sensing/feedback technology an effective strategy in reducing consumption? Prior studies in energy feedback technology have demonstrated that providing information about energy use to residents does often reduce consumption. Will this translate to other domains? What are the most effective ways in providing feedback? Does the feedback have to be persuasive or can it simply be informational? For other questions like these, see the paper.
On July 20th, 2006, Pacific Gas and Electric Company’s $1.7 billion SmartMeter proposal received unanimous approval by the California Public Utilities Commission. In the fall of that year, PG&E began the installation of 9.3 million SmartMeter devices for its 5.1 million electricity and 4.2 million gas customers and plans to finish system-wide in 2011.
Alexis Madrigal, from Wired, got his PG&E SmartMeter installed in October of this year and writes about his discussion with the PG&E SmartMeter installer:
Though he installed the meter yesterday, it wouldn’t do anything special for PG&E or me until the transmitters went in to create the network through which my meter would communicate with the world. And the transmitters wouldn’t be in for a couple of years.
But, surely, after the transmitters went in, I’d be able to track every kilowatt hour of my energy usage? Nope, Dave said. Special web apps for understanding my power user profile like I’d seen from Tendril or Greenbox? Not that he’s heard of. The best I was going to get was daily energy usage reports. That’s low resolution data, like your Toyota Prius telling you your gas mileage over the course of a week. The feedback loop just wouldn’t be strong enough to change wasteful behaviors.
In fact, the primary purpose for these smart meters, Dave told me, was to simplify billing issues for PG&E.
“Meter readers are under intense time pressure,” Fong said. “They are literally running from meter to meter.”
Taking too long earns meter readers demerits, and so do mistakes. If meter readers accidentally charge you for $350 of gas instead of $35, it causes major headaches. The new smart meters will eliminate the meter readers and the pesky problems humans introduce.
But will the new meters do anything to change the energy usage patterns that have Americans using five times more energy than the world average? Anecdotally, it sure doesn’t sound like it.
sustain is a blog dedicated to the environment, human behavior, technology and the relationship between all three. subscribe to the rss or atom feed.
Author
jon froehlich is a phd candidate in
computer science at the university of washington.
his research focuses on building and studying technology that promotes healthier lifestyles and proenvironmental behaviors.