2017
DOI: 10.1016/j.apenergy.2017.07.026
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The addition of heat pump electricity load profiles to GB electricity demand: Evidence from a heat pump field trial

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Cited by 138 publications
(105 citation statements)
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“…Similarly, Sun et al, 11 using a metric called 'After Diversity Maximum Demand', measured customer diversity and showed that as the number of households served by a retailer increased the quantity risk experienced by the retailer decreased. Furthermore, the maximum aggregated peak demand from these households also decreased, similar to the observations made by Elombo et al and Love et al 12,13 It is important to note that 'After Diversity Maximum Demand' is the maximum average aggregated peak electricity demand that a distribution system is likely to experience from a group of customers belonging to a given customer class. 11 Researchers 14 were also able to show that increasing the diversity of customers (as measured by the After Diversity Maximum Demand) reduced the gas and electricity demand per household dwelling by up to 47%.…”
Section: Introductionsupporting
confidence: 81%
“…Similarly, Sun et al, 11 using a metric called 'After Diversity Maximum Demand', measured customer diversity and showed that as the number of households served by a retailer increased the quantity risk experienced by the retailer decreased. Furthermore, the maximum aggregated peak demand from these households also decreased, similar to the observations made by Elombo et al and Love et al 12,13 It is important to note that 'After Diversity Maximum Demand' is the maximum average aggregated peak electricity demand that a distribution system is likely to experience from a group of customers belonging to a given customer class. 11 Researchers 14 were also able to show that increasing the diversity of customers (as measured by the After Diversity Maximum Demand) reduced the gas and electricity demand per household dwelling by up to 47%.…”
Section: Introductionsupporting
confidence: 81%
“…Therefore, a substitution of fossil energy carriers in these two sectors by electricity-based technologies seems to be most effective. With respect to buildings, it is primarily the substitution of fossil heaters and boilers operated on heating oil and natural gas by heat pumps [8,9]. With regard to mobility, it is primarily the substitution of internal combustion engines (ICE) running on fossil gasoline and diesel fuels by battery electric vehicles (BEV) [10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…8 Nevertheless, despite the different operating characteristics of heat pumps, Love et al (2017) show that demand peaks morning and evening (with the highest peak in the morning) are present among a sample of 696 UK homes with heat pumps. Their simulation of the impact of HPs in 20% of UK dwellings shows the heat pump demand 'beginning to create a morning peak in the grid load where there was not one before' (Love et al 2017 p338).…”
Section: Household Thermal Routines As Described By Householdersmentioning
confidence: 99%