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END-USE MODEL (2) answer(s).
 
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1
ID:   097597


Can China benefit from adopting a binding emissions target / Schmidt, Robert C; Marschinski, Robert   Journal Article
Schmidt, Robert C Journal Article
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Publication 2010.
Summary/Abstract In the run-up to the Copenhagen climate summit, the USA announced an emissions reduction target of 17% by 2020 (relative to 2005), and the EU of 20-30% (relative to 1990). For the same time horizon, China offered to reduce the CO2-intensity of its economy by 40-45% (relative to 2005), but rejects a legally binding commitment. We use the targets announced by the EU and the USA to analyze the potential gain for China if it were to adopt a binding emissions target and join an international emissions trading scheme. We show that China would likely benefit from choosing a binding target well below its projected baseline emissions for 2020.
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2
ID:   097598


Improving energy efficiency and smart grid program analysis wit / Jackson, Jerry   Journal Article
Jackson, Jerry Journal Article
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Publication 2010.
Summary/Abstract Electric utilities and regulators face difficult challenges evaluating new energy efficiency and smart grid programs prompted, in large part, by recent state and federal mandates and financial incentives. It is increasingly difficult to separate electricity use impacts of individual utility programs from the impacts of increasingly stringent appliance and building efficiency standards, increasing electricity prices, appliance manufacturer efficiency improvements, energy program interactions and other factors. This study reviews traditional approaches used to evaluate electric utility energy efficiency and smart-grid programs and presents an agent-based end-use modeling approach that resolves many of the shortcomings of traditional approaches. Data for a representative sample of utility customers in a Midwestern US utility are used to evaluate energy efficiency and smart grid program targets over a fifteen-year horizon. Model analysis indicates that a combination of the two least stringent efficiency and smart grid program scenarios provides peak hour reductions one-third greater than the most stringent smart grid program suggesting that reductions in peak demand requirements are more feasible when both efficiency and smart grid programs are considered together. Suggestions on transitioning from traditional end-use models to agent-based end-use models are provided.
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