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REBOUND (5) answer(s).
 
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1
ID:   137681


Heat savings and heat generation technologies / Zvingilaite, Erika; Jacobsen, Henrik Klinge   Article
Jacobsen, Henrik Klinge Article
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Summary/Abstract The trade-off between investing in energy savings and investing in individual heating technologies with high investment and low variable costs in single family houses is modelled for a number of building and consumer categories in Denmark. For each group the private economic cost of providing heating comfort is minimised. The private solution may deviate from the socio-economical optimal solution and we suggest changes to policy to incentivise the individuals to make choices more in line with the socio-economic optimal mix of energy savings and technologies.The households can combine their primary heating source with secondary heating e.g. a woodstove. This choice results in increased indoor air pollution with fine particles causing health effects. We integrate health cost due to use of woodstoves into household optimisation of heating expenditures.The results show that due to a combination of low costs of primary fuel and low environmental performance of woodstoves today, included health costs lead to decreased use of secondary heating. Overall the interdependence of heat generation technology- and heat saving-choice is significant. The total optimal level of heat savings for private consumers decrease by 66% when all have the option to shift to the technology with lowest variable costs.
Key Words Externalities  Energy Savings  Modelling  Rebound  Residential Heating; 
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2
ID:   096090


Incorporating macroeconomic feedback into an energy systems mod: evaluating the rebound effect in the Korean electricity system / Howells, Mark; Jeong, Kiho; Langlois, Lucille; Lee, Man Ki   Journal Article
Howells, Mark Journal Article
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Publication 2010.
Summary/Abstract This paper approximates the emissions rebound effects1 associated with substituting expensive and GHG emitting natural gas (LNG) power plants, with apparently cheaper and lower emitting nuclear plant. It then evaluates the effect this has on economy wide electricity use as well as net GHG emissions changes. The analysis is undertaken by combining aspects of an input-output model with an optimizing energy systems model. The scope of the case study is limited to the effects of the electricity sector (and its emissions) on the Korean economy from 2005 to 2030. Its primary basis (in terms of data and assumptions) is the recent national Basic Plan for Long-Term Electricity Supply and Demand (KPX, 2006).2 The cases considered a limited increase of the share of Advanced Pressurised Reactor (APR) nuclear plant at the expense of combined cycle gas turbine (CCGT) plant running on imported liquefied natural gas (LNG). Three scenarios are studied, based on KPX (2006). These include (1) a Reference scenario,3 (2) a Mitigation scenario (where an extra 5000 MW of nuclear is allowed to enter the system at the expense of LNG plant, but no emissions rebound is calculated) and (3) a Mitigation+rebound scenario (where some emissions savings of the extra nuclear plant are offset by an emissions rebound).4 The modelling approach developed is useful as it provides a method of including and indicating some economic interactions with the energy system in a relatively transparent manner. Stand alone economic models can lack energy system dynamics, while energy systems model are often decoupled from detailed economic interactions.
Key Words Input - Output  Input – Output  Rebound  Systems Model 
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3
ID:   121366


Is what we think of as “rebound” really just income effects in disguise? / Saunders, Harry   Journal Article
Saunders, Harry Journal Article
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Publication 2013.
Summary/Abstract This paper examines the question of whether unexpectedly high energy use in the wake of energy efficiency gains can be explained as arising from increases in consumer wealth, as opposed to energy efficiency rebound effects. The analysis concludes that historical energy consumption increases were driven by more than just income levels, with the lowest-income consumers in the US using more energy in 2002 than they did in 1987 despite significant energy use efficiency gains and despite declining average incomes in this category. Further, direct use of energy in households increased for all income categories over this time period. These results point to rebound as being the culprit, not income effects.
Key Words Rebound  Energy and Income  Embedded Energy 
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4
ID:   115673


Rebound effects for lighting / Saunders, Harry D; Tsao, Jeffrey Y   Journal Article
Saunders, Harry D Journal Article
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Publication 2012.
Summary/Abstract In this Communication, we seek to clarify confusion regarding our 2010 Journal of Physics article on historical rebound effects for lighting, which showed that global energy use for lighting has experienced 100% rebound over 300 years, six continents, and five technologies. We argue that our results have been misunderstood by some to mean lighting efficiency gains are counterproductive, and we instead argue for vigorously promoting improved lighting technologies.
Key Words Lighting  Rebound  Solid - State Lighting 
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5
ID:   181763


Retrofit effectiveness: evidence from a nationwide residential energy efficiency programme / Coyne, Bryan; Denny, Eleanor   Journal Article
Denny, Eleanor Journal Article
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Summary/Abstract Buildings in the EU are responsible for 40% of energy use, with approximately 75% of buildings classed as energy inefficient. Many energy efficiency technologies have failed to deliver on the promised savings. This paper measures the extent to which residential dwelling retrofit delivers real energy savings in Ireland using a unique dataset of whole-home energy use (n = 8,572 households) over a two-year period. It is one of the largest studies of retrofit using whole-home energy data for a general housing sample, who do not disproportionately experience fuel poverty. It uses whole-home energy data to capture potential fuel switching induced by retrofit. Finally, this study addresses concerns regarding self-selection issues associated with the decision to undergo a retrofit by comparing with a second control group of homes that received a retrofit prior to the observation period.
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