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Using Smart Grids to Enhance Use of Energy-Efficiency and Renewable-Energy Technologies

Authors: Paget, Mia; Seacrest, Tom; Widergren, Steve; Balducci, Patrick; Orrell, Alice; Bloyd, Cary;

Using Smart Grids to Enhance Use of Energy-Efficiency and Renewable-Energy Technologies

Abstract

This report addresses the Asia-Pacific Economic Cooperation (APEC) organization’s desire to minimize the learning time required to understand the implications of smart-grid concepts so APEC members can advance their thinking in a timely manner and advance strategies regarding smart approaches that can help meet their environmental-sustainability and energy-efficiency policy goals. As significant investments are needed to grow and maintain the electricity infrastructure, consideration needs to be given to how information and communications technologies can be applied to electricity infrastructure decisions that not only meet traditional needs for basic service and reliability, but also provide the flexibility for a changing the mix of generation sources with sensitivity to environmental and societal impacts.

Countries
United States, Germany
Keywords

Consumption, C1 - Econometric and Statistical Methods and Methodology: General, Economics, Energy Efficiency, C5 - Econometric Modeling, O1 - Economic Development, Renewable Energy Sources, Q5 - Environmental Economics, Sensitivity, Electricity, Q2 - Renewable Resources and Conservation, Learning, 32 Energy Conservation, Smart Grid, Energy Economics, Oil and Natural gas prices, Electric Power, Renewable Energy, Electric Vehicles, O2 - Development Planning and Policy, Q4 - Energy, Q48 - Government Policy, Reliability, Q40 - General, Communications, And Utilization, Flexibility, jel: jel:Q40, jel: jel:C1, jel: jel:Q48, jel: jel:C5, jel: jel:Q2, jel: jel:O1, jel: jel:O2, jel: jel:Q4, jel: jel:Q5

  • BIP!
    Impact byBIP!
    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).
    12
    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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Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average