2010
DOI: 10.1007/s11027-010-9246-x
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Electricity demand in a changing climate

Abstract: Adaptation, Climate change, Elasticities, Electricity demand, Europe, Mitigation,

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Cited by 88 publications
(34 citation statements)
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“…Finally, as a discussion point, energy consumption changes due to temperature change might be small compared to those due to other factors, such as changes in income and technology 19 . In addition, the issue of future energy demand due to changes in heating degree days and the number of the heating days is complex and multifaceted and in this paper, we only adopted simple assumptions for the relation between the indices, population distribution and energy demand and did not consider the increase of cooling degree days which might offset the decrease of heating demand under future warming.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Finally, as a discussion point, energy consumption changes due to temperature change might be small compared to those due to other factors, such as changes in income and technology 19 . In addition, the issue of future energy demand due to changes in heating degree days and the number of the heating days is complex and multifaceted and in this paper, we only adopted simple assumptions for the relation between the indices, population distribution and energy demand and did not consider the increase of cooling degree days which might offset the decrease of heating demand under future warming.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…The definition of both heating and cooling degree days (HDD and CDD, respectively) involves a temperature threshold, and the threshold used in specific applications varies according to human physiological needs, energy supply, economic level, temperature characteristics and so on. For example, the threshold temperature for HDD and CDD employed are 13 °C and 23 °C in Spain 18 , 18 °C and 22 °C in Europe 19 , and both are 18.33 °C for the United States 20 . The reference temperature used for China also differs among different studies 16,17,21,22 , but 5 °C has been widely used for defining the starting and ending dates of HDD for historical policy reasons (the heating starts (ends) when temperature is below (above) 5 °C for a continuous 5-day period, see next paragraph and Methods for more detail) and 18 °C for calculating the HDD in the heating period.…”
Section: Introductionmentioning
confidence: 99%
“…Adaptation responses to offset these negative impacts of climate change will influence electricity consumption and load patterns. While demand for space heating is expected to decrease in response to less-frequent cold days, increased adoption and operation of air conditioning due to growing demand for space cooling during hot days will put upward pressure on electricity consumption as well as daily and seasonal peak loads (14,18,(25)(26)(27)(28)(29).…”
mentioning
confidence: 99%
“…the physiologically-determined level of indoor comfort (conditional on space conditioning) in residential and commercial sectors (Eskeland and Mideksa, 2010), the output of temperature-sensitive production processes (conditional on insulation and operation of thermal regulation equipment) in industrial sectors, or crop yields (conditional on irrigation in response to evapotranspiration) in agriculture. Given information available at time t, the agent selects a sequence of future performance levels, π, that minimize the expectation of discounted performance loss L , specified as a quadratic function of divergence from the target level and inter-period variability: Nickell (1985) shows that with static expectations and a fixed target, when 2 = 0 the solution to (1) reduces to the simple partial adjustment model…”
Section: Res Temperatementioning
confidence: 99%
“…Temperature is the meteorological driver that has been most widely considered, while others that are relevant to the question of climate change (such as precipitation and humidity) have received less attention (Barreca, 2012). Commonly-used approaches estimate elasticities of energy demand with respect to temperatures that are either averaged on an annual (Bigano et al, 2006) or seasonal basis (e.g., De Cian, Lanzi and Roson, 2013), accumulated heating and cooling degree days (e.g., Isaac and Van Vuuren, 2009;Ruth and Lin, 2006;Eskeland and Mideksa, 2010), and, more recently, temporal exposure to different intervals of temperature (e.g., Aroonruengsawat and Auffhammer, 2011;Auffhammer and Aroonruengsawat, 2011;Deschenes and Greenstone, 2013). The last approach, which we adopt here, is particularly attractive because of its ability to capture potential nonlinearity in the responses of demand to temperature extremes.…”
Section: Introductionmentioning
confidence: 99%