Download Broadband Networks, Smart Grids and Climate Change by Eli M. Noam, Lorenzo Maria Pupillo, Johann J. Kranz PDF

By Eli M. Noam, Lorenzo Maria Pupillo, Johann J. Kranz

In clever grids the previously separated worlds of strength and telecommunication converge to an interactive and automatic strength offer process. pushed by way of social, felony, and financial pressures, power structures world wide are up to date with details and communique know-how. those investments target at bettering power potency, securing cheap power provide, and mitigate weather switch. In Broadband Networks, shrewdpermanent Grids and weather switch, well known students and bosses from the fields of strength and telecommunication tackle key questions regarding technological, strategic, and regulatory concerns revealing outcomes and possibilities for companies evolving with shrewdpermanent grids. particularly, this publication analyzes: (1) the results on weather swap defense (2) nationwide power and broadband politics (3) regulatory methods and standards (4) rising enterprise models

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We have five million commercial buildings in the United States. That is plenty big as a target population. There doesn’t seem to be any easy way to address energy efficiency of commercial buildings by way of boot strapping the energy efficiency story into the mortgage story by adding efficiency costs to mortgage loans. This is pretty much the same thing as saying, if you want to get to the United States; it’s really a bad idea to jump on board the Titanic. Meaning who would think that the mortgage market in the United States was a place to go for reform of the energy business?

Turned into meaningful and actionable information, this new data represents enormous value for electric system planning, investments, operations, and customer offerings. But while the industry increasingly recognizes how critical it will be to aggregate, analyze, mine, and visualize not only its own big data streams but also data on weather, building stocks, pollution, and countless other relevant parameters, few companies within the power sector have access to the hardware and software equal to the task.

Focused initially on electricity use in 1,000 volunteer homes, Pecan Street is beginning with the world’s deepest dive into home energy use, achieving near-real-time data collection and analysis to enable predictive decision making across billions of nodes. The vision for Pecan Street, in McCracken’s words, is “a grid and customers with the ability to make better decisions at every moment, easily and remotely. ” A family’s 6 Mining Big Data to Transform Electricity 49 HEMS should, for instance, be able to combine multiple pieces of information—the home’s construction history, its air conditioner and heating system manufacturing specs, annual weather profiles, real-time temperature reads and the utility’s rate options—and suggest the best pricing plan for the customer, priority home improvements and links to contractors and rebates.

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