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Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy

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  • Torriti, Jacopo

Abstract

One of the most common demand side management programs consists of time-of-use (TOU) tariffs, where consumers are charged differently depending on the time of the day when they make use of energy services. This paper assesses the impacts of TOU tariffs on a dataset of residential users from the Province of Trento in Northern Italy in terms of changes in electricity demand, price savings, peak load shifting and peak electricity demand at sub-station level. Findings highlight that TOU tariffs bring about higher average electricity consumption and lower payments by consumers. A significant level of load shifting takes place for morning peaks. However, issues with evening peaks are not resolved. Finally, TOU tariffs lead to increases in electricity demand for substations at peak time.

Suggested Citation

  • Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    • Handle: RePEc:eee:energy:v:44:y:2012:i:1:p:576-583
    DOI: 10.1016/j.energy.2012.05.043
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    1. Kasulis, Jack J & Huettner, David A & Dikeman, Neil J, 1981. "The Feasibility of Changing Electricity Consumption Patterns," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(3), pages 279-290, December.
    2. Nikzad, Mehdi & Mozafari, Babak & Bashirvand, Mahdi & Solaymani, Soodabeh & Ranjbar, Ali Mohamad, 2012. "Designing time-of-use program based on stochastic security constrained unit commitment considering reliability index," Energy, Elsevier, vol. 41(1), pages 541-548.
    3. Kim, Yoon Hyung, 1984. "Interactions among economic activity, energy use, and electricity use," Energy, Elsevier, vol. 9(9), pages 717-725.
    4. Newsham, Guy R. & Bowker, Brent G., 2010. "The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review," Energy Policy, Elsevier, vol. 38(7), pages 3289-3296, July.
    5. Yu, William & Jamasb, Tooraj & Pollitt, Michael, 2009. "Does weather explain cost and quality performance? An analysis of UK electricity distribution companies," Energy Policy, Elsevier, vol. 37(11), pages 4177-4188, November.
    6. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    7. Elizabeth Shove, 2004. "Efficiency and Consumption: Technology and Practice," Energy & Environment, , vol. 15(6), pages 1053-1065, November.
    8. Cooper, Ian, 1982. "Comfort theory and practice: Barriers to the conservation of energy by building occupants," Applied Energy, Elsevier, vol. 11(4), pages 243-288, August.
    9. Filippini, Massimo, 1995. "Swiss residential demand for electricity by time-of-use," Resource and Energy Economics, Elsevier, vol. 17(3), pages 281-290, November.
    10. Yamamoto, Yoshihiro & Suzuki, Akihiko & Fuwa, Yasuhiro & Sato, Tomohiro, 2008. "Decision-making in electrical appliance use in the home," Energy Policy, Elsevier, vol. 36(5), pages 1679-1686, May.
    11. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    12. Hirst, Eric, 1994. "Effects of utility demand-side management programs on uncertainty," Resource and Energy Economics, Elsevier, vol. 16(1), pages 25-45, March.
    13. Dulleck, Uwe & Kaufmann, Sylvia, 2004. "Do customer information programs reduce household electricity demand?--the Irish program," Energy Policy, Elsevier, vol. 32(8), pages 1025-1032, June.
    14. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.
    15. Kamerschen, David R. & Porter, David V., 2004. "The demand for residential, industrial and total electricity, 1973-1998," Energy Economics, Elsevier, vol. 26(1), pages 87-100, January.
    16. Walawalkar, Rahul & Fernands, Stephen & Thakur, Netra & Chevva, Konda Reddy, 2010. "Evolution and current status of demand response (DR) in electricity markets: Insights from PJM and NYISO," Energy, Elsevier, vol. 35(4), pages 1553-1560.
    17. Garcia-Cerrutti, L. Miguel, 2000. "Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms," Resource and Energy Economics, Elsevier, vol. 22(4), pages 355-366, October.
    18. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    19. Harris, John L. & Liu, Lon-Mu, 1993. "Dynamic structural analysis and forecasting of residential electricity consumption," International Journal of Forecasting, Elsevier, vol. 9(4), pages 437-455, December.
    20. Torriti, Jacopo & Hassan, Mohamed G. & Leach, Matthew, 2010. "Demand response experience in Europe: Policies, programmes and implementation," Energy, Elsevier, vol. 35(4), pages 1575-1583.
    21. Torriti, Jacopo, 2012. "Demand Side Management for the European Supergrid: Occupancy variances of European single-person households," Energy Policy, Elsevier, vol. 44(C), pages 199-206.
    22. Cappers, Peter & Goldman, Charles & Kathan, David, 2010. "Demand response in U.S. electricity markets: Empirical evidence," Energy, Elsevier, vol. 35(4), pages 1526-1535.
    23. Palmborg, Christer, 1986. "Social habits and energy consumption in single-family homes," Energy, Elsevier, vol. 11(7), pages 643-650.
    24. Schipper, Lee & Hawk, Dianne V., 1991. "More efficient household electricity-use : An international perspective," Energy Policy, Elsevier, vol. 19(3), pages 244-265, April.
    25. Shaw, Rita & Attree, Mike & Jackson, Tim & Kay, Mike, 2009. "The value of reducing distribution losses by domestic load-shifting: a network perspective," Energy Policy, Elsevier, vol. 37(8), pages 3159-3167, August.
    26. Vassileva, Iana & Wallin, Fredrik & Dahlquist, Erik, 2012. "Analytical comparison between electricity consumption and behavioral characteristics of Swedish households in rented apartments," Applied Energy, Elsevier, vol. 90(1), pages 182-188.
    27. Halvorsen, Bente & Larsen, Bodil M., 2001. "The flexibility of household electricity demand over time," Resource and Energy Economics, Elsevier, vol. 23(1), pages 1-18, January.
    28. Olmos, Luis & Ruester, Sophia & Liong, Siok-Jen & Glachant, Jean-Michel, 2011. "Energy efficiency actions related to the rollout of smart meters for small consumers, application to the Austrian system," Energy, Elsevier, vol. 36(7), pages 4396-4409.
    29. Lifson, Dale P. & Miedema, Allen K., 1981. "A comparative analysis of time-of-use electricity rate effects: The Arizona experiment," Energy, Elsevier, vol. 6(5), pages 403-408.
    30. Hartway, Rob & Price, Snuller & Woo, C.K, 1999. "Smart meter, customer choice and profitable time-of-use rate option," Energy, Elsevier, vol. 24(10), pages 895-903.
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