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The impact of behavioral and geographic heterogeneity on residential-sector carbon abatement costs
Graphical abstract Display Omitted
Highlights Thermostat settings in U.S. residences vary significantly, affecting energy use. Behavior, climate, and home condition affect priority of efficiency upgrades. The relative net present value of efficiency upgrades varies across consumers by an order of ±1,000. Efficiency upgrades with economic savings yield ~100 million tonnes CO2 reductions per year. Accounting for consumer heterogeneity reorders priority of carbon abatement options.
Abstract Analyses of monetary and emissions savings from residential efficiency upgrades usually neglect behavioral differences between consumers. Variations in behavior are often large: 13% of the U.S. population sets thermostats for cooling at 20 °C (68 °F) or lower and 15% at 25.5 °C (78 °F) or higher. Efficiency analyses should account for behavioral heterogeneity as well as variations in climate and housing characteristics. We model energy and economic savings of efficiency upgrades for U.S. single-family detached houses, accounting for differences in thermostat settings, climate zone, fuel prices, and home characteristics. We consider five efficiency interventions: wall insulation, attic insulation, air sealing, high-efficiency furnaces, and high-efficiency air conditioners. Energy and economic savings vary widely by consumer; the average net present value for wall insulation is $3,020 United States Dollar (USD), but considering heterogeneity, it has a 10th percentile value of -$231 and 90th percentile value of $5,000. Neglecting heterogeneity, technology upgrades can be prioritized from lower to higher carbon abatement costs: air conditioners, wall insulation, furnace, air sealing, and attic insulation. Accounting for heterogeneity reorders this prioritization, and consumer-specific conditions affect mitigation costs such that technologies are mixed in with one another and are no longer arranged one after another. These results indicate that interventions to improve efficiency should consider differences between consumers.
The impact of behavioral and geographic heterogeneity on residential-sector carbon abatement costs
Graphical abstract Display Omitted
Highlights Thermostat settings in U.S. residences vary significantly, affecting energy use. Behavior, climate, and home condition affect priority of efficiency upgrades. The relative net present value of efficiency upgrades varies across consumers by an order of ±1,000. Efficiency upgrades with economic savings yield ~100 million tonnes CO2 reductions per year. Accounting for consumer heterogeneity reorders priority of carbon abatement options.
Abstract Analyses of monetary and emissions savings from residential efficiency upgrades usually neglect behavioral differences between consumers. Variations in behavior are often large: 13% of the U.S. population sets thermostats for cooling at 20 °C (68 °F) or lower and 15% at 25.5 °C (78 °F) or higher. Efficiency analyses should account for behavioral heterogeneity as well as variations in climate and housing characteristics. We model energy and economic savings of efficiency upgrades for U.S. single-family detached houses, accounting for differences in thermostat settings, climate zone, fuel prices, and home characteristics. We consider five efficiency interventions: wall insulation, attic insulation, air sealing, high-efficiency furnaces, and high-efficiency air conditioners. Energy and economic savings vary widely by consumer; the average net present value for wall insulation is $3,020 United States Dollar (USD), but considering heterogeneity, it has a 10th percentile value of -$231 and 90th percentile value of $5,000. Neglecting heterogeneity, technology upgrades can be prioritized from lower to higher carbon abatement costs: air conditioners, wall insulation, furnace, air sealing, and attic insulation. Accounting for heterogeneity reorders this prioritization, and consumer-specific conditions affect mitigation costs such that technologies are mixed in with one another and are no longer arranged one after another. These results indicate that interventions to improve efficiency should consider differences between consumers.
The impact of behavioral and geographic heterogeneity on residential-sector carbon abatement costs
Das, Saptarshi (Autor:in) / Wilson, Eric (Autor:in) / Williams, Eric (Autor:in)
Energy and Buildings ; 231
03.11.2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
TIBKAT | 1995
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