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University of North Texas: UNT Digital Library
Report . 2007
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Climate Policy and the Long-Term Evolution of the U.S. Buildings Sector

Authors: Steven J. Smith; Fang Rong; G. Page Kyle; Leon Clarke;
Abstract
This paper discusses a new U.S. building module in the MiniCAM integrated assessment model, and it presents a scenario based on that module.
Country
United States
Related Organizations
- Pacific Northwest National Laboratory United States
- University of North Texas United States
- Joint Global Change Research Institute United States
- University of Maryland, College Park United States
- Pacific Northwest National Laboratory United States
Keywords
Energy, 02 Petroleum, Energy Demand, Natural Gas Integrated Assessment, Availability, Climates, Carbon, Heating, Electricity, Integrated Assessment, Buildings, 03 Natural Gas, Fuel Oils
Energy, 02 Petroleum, Energy Demand, Natural Gas Integrated Assessment, Availability, Climates, Carbon, Heating, Electricity, Integrated Assessment, Buildings, 03 Natural Gas, Fuel Oils
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).48 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
48
Top 10%
Top 10%
Average