Skip to main content
Top

2014 | OriginalPaper | Chapter

Arcturus: An International Repository of Evidence on Dynamic Pricing

Authors : Ahmad Faruqui, Sanem Sergici

Published in: Smart Grid Applications and Developments

Publisher: Springer London

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This chapter introduces Arcturus, an international database of dynamic pricing and time-of-use pricing studies. It contains the demand response impacts of 163 pricing treatments that were offered on an experimental or full-scale basis in 34 projects in seven countries located in four continents. The treatments included various types of dynamic pricing rates and simple time-of-use rates, some of which were offered with enabling technologies such as smart thermostats. The demand response impacts of these treatments vary widely, from 0 % to more than 50 %, and this discrepancy has led some observers to conclude that we still do not know whether customers respond to dynamic pricing. We find that much of the discrepancy in the results goes away when demand response is expressed as a function of the peak-to-off-peak price ratio. We then observe that customers respond to rising prices by lowering their peak demand in a fairly consistent fashion across the studies. The response curve is nonlinear and is shaped in the form of an arc: as the price incentive to reduce peak use is raised, customers respond by lowering peak use, but at a decreasing rate. We also find that the use of enabling technologies boosts the amount of demand response. Overall, we find a significant amount of consistency in the experimental results, especially when the results are disaggregated into two categories of rates: time-of-use rates and dynamic pricing rates. This consistency evokes the consistency that was found in earlier analysis of time-of-use pricing studies that was carried out by EPRI in the early 1980s. Our analysis supports the case for the rollout of dynamic pricing wherever advanced metering infrastructure is in place.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Footnotes
1
Time-varying pricing refers to time-of-use (TOU) rates as well as dispatchable rate structures such as critical peak prices (CPP) and real-time prices (RTP). AMI is only a prerequisite for dynamic pricing programs, whereas TOU rates can be implemented with legacy meters.
 
2
Federal Energy Regulatory Commission.
 
3
Faruqui and Sergici [5] and Flaim et al. [9] summarize the results from some recent studies but do not attempt a meta-analysis of the type reported here. A previous meta-analysis, more limited in scope that this one, is contained in Faruqui and Palmer [4]. A comprehensive bibliography on dynamic pricing can be found in Enright and Faruqui [2].
 
4
Some studies characterize only smart thermostats as enabling technologies as these devices automatically adjust temperature settings without requiring an action from the customers. For the purposes of this chapter, we characterize smart thermostats, energy orbs, and in-home displays as enabling technologies since these devices either automate actions for customers or equip them with information to act on.
 
5
For a detailed discussion of time-varying rates, see Faruqui et al. [7].
 
6
For the PTR rate, the effective critical peak price is calculated by adding the peak-time rebate to the rate the customer normally pays during that time period (in the absence of the rebate). This is essentially the opportunity cost of consuming every kWh of electricity.
 
7
By using MM-estimation, our re-estimated arcs predict impacts that are lower than before.
 
Literature
1.
go back to reference Caves D, Christensen L, Herriges J (1984) Consistency of residential customer response in time-of-use electricity pricing experiments. J Econometrics 26:179–203CrossRef Caves D, Christensen L, Herriges J (1984) Consistency of residential customer response in time-of-use electricity pricing experiments. J Econometrics 26:179–203CrossRef
3.
go back to reference Faruqui A, George SS (2005) Quantifying customer response to dynamic pricing. Electr J 18(4):53–63CrossRef Faruqui A, George SS (2005) Quantifying customer response to dynamic pricing. Electr J 18(4):53–63CrossRef
4.
go back to reference Faruqui A, Palmer J (2012) The discovery of price responsiveness—A survey of experiments involving dynamic pricing of electricity. EDI Q 4(1):15–18 Faruqui A, Palmer J (2012) The discovery of price responsiveness—A survey of experiments involving dynamic pricing of electricity. EDI Q 4(1):15–18
5.
go back to reference Faruqui A, Sergici S (2010) Household response to dynamic pricing of electricity—A survey of 15 experiments. J Regul Econ 38(2):193–225CrossRef Faruqui A, Sergici S (2010) Household response to dynamic pricing of electricity—A survey of 15 experiments. J Regul Econ 38(2):193–225CrossRef
6.
go back to reference Faruqui A, Sergici S (2011) Dynamic pricing of electricity in the Mid-Atlantic Region: econometric results from the Baltimore gas and electric company experiment. J Regul Econ 40(1):82–109CrossRef Faruqui A, Sergici S (2011) Dynamic pricing of electricity in the Mid-Atlantic Region: econometric results from the Baltimore gas and electric company experiment. J Regul Econ 40(1):82–109CrossRef
9.
go back to reference Flaim T, Neenan B, Robinson J (2013) Pilot paralysis: why dynamic pricing remains overhyped and underachieved. Electr J 26(4):8–21CrossRef Flaim T, Neenan B, Robinson J (2013) Pilot paralysis: why dynamic pricing remains overhyped and underachieved. Electr J 26(4):8–21CrossRef
10.
go back to reference Joskow PL (2012) Creating a smarter U.S. electricity grid. J Econ Perspect 26(1):29–48CrossRef Joskow PL (2012) Creating a smarter U.S. electricity grid. J Econ Perspect 26(1):29–48CrossRef
Metadata
Title
Arcturus: An International Repository of Evidence on Dynamic Pricing
Authors
Ahmad Faruqui
Sanem Sergici
Copyright Year
2014
Publisher
Springer London
DOI
https://doi.org/10.1007/978-1-4471-6281-0_4