Brainstorming for Smart Grid Analyses: Difference between revisions
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The U.S. is currently in the process of installing "smart meters" on residences throughout the country to monitor energy use. A few weeks ago a ''Science'' Policy Forum highlighted the need for more involvement from the scientific community. I thought we all might be a good group to think about possible ways to analyze this data or even propose experiments that could be done. If you're interested in discussing this topic, let me know. [[Kyla Dahlin]] | The U.S. is currently in the process of installing "smart meters" on residences throughout the country to monitor energy use. A few weeks ago a ''Science'' Policy Forum highlighted the need for more involvement from the scientific community. I thought we all might be a good group to think about possible ways to analyze this data or even propose experiments that could be done. If you're interested in discussing this topic, let me know. [[Kyla Dahlin]] | ||
[http:// | [http://tuvalu.santafe.edu/events/workshops/images/e/e9/Beyea_2010_smartgrid_Science.pdf The Smart Electricity Grid and Scientific Research]<br/> | ||
(This is now a link to the pdf) | |||
"So-called 'smart' meters and appliances have the potential to save energy, to shave peak electricity usage, and to reduce risks of blackouts (1–6). Typical smart meter designs include periodic transmission of current, phase, and frequency data from the user to the electricity distribution company. Utilities will use the data in billing calculations under time-of-day pricing, for load-management research, to provide customer feedback, and/or to adjust customer appliances. | "So-called 'smart' meters and appliances have the potential to save energy, to shave peak electricity usage, and to reduce risks of blackouts (1–6). Typical smart meter designs include periodic transmission of current, phase, and frequency data from the user to the electricity distribution company. Utilities will use the data in billing calculations under time-of-day pricing, for load-management research, to provide customer feedback, and/or to adjust customer appliances. | ||
However, there has been little discussion of the full scientific, economic, and historic potential of these data, whose usefulness may extend beyond the original purposes for which the data will be collected and stored. Input is needed from third-party researchers (neither customers nor utilities) at this early and critical stage of the smart grid's development, with legislation and regulations yet to come. Otherwise, it will be hard for regulators to reach a balanced decision on which high-resolution data should be stored, for how long, and to whom it should be made accessible inside and outside the collecting utility." | However, there has been little discussion of the full scientific, economic, and historic potential of these data, whose usefulness may extend beyond the original purposes for which the data will be collected and stored. Input is needed from third-party researchers (neither customers nor utilities) at this early and critical stage of the smart grid's development, with legislation and regulations yet to come. Otherwise, it will be hard for regulators to reach a balanced decision on which high-resolution data should be stored, for how long, and to whom it should be made accessible inside and outside the collecting utility." | ||
Latest revision as of 19:19, 11 June 2010
The U.S. is currently in the process of installing "smart meters" on residences throughout the country to monitor energy use. A few weeks ago a Science Policy Forum highlighted the need for more involvement from the scientific community. I thought we all might be a good group to think about possible ways to analyze this data or even propose experiments that could be done. If you're interested in discussing this topic, let me know. Kyla Dahlin
The Smart Electricity Grid and Scientific Research
(This is now a link to the pdf)
"So-called 'smart' meters and appliances have the potential to save energy, to shave peak electricity usage, and to reduce risks of blackouts (1–6). Typical smart meter designs include periodic transmission of current, phase, and frequency data from the user to the electricity distribution company. Utilities will use the data in billing calculations under time-of-day pricing, for load-management research, to provide customer feedback, and/or to adjust customer appliances.
However, there has been little discussion of the full scientific, economic, and historic potential of these data, whose usefulness may extend beyond the original purposes for which the data will be collected and stored. Input is needed from third-party researchers (neither customers nor utilities) at this early and critical stage of the smart grid's development, with legislation and regulations yet to come. Otherwise, it will be hard for regulators to reach a balanced decision on which high-resolution data should be stored, for how long, and to whom it should be made accessible inside and outside the collecting utility."