Simultaneous activities in the household and residential electricity demand in Spain

Recent research and policy studies on the low-carbon future highlight the importance of flexible electricity demand. This might be problematic particularly for residential electricity demand, which is related to simultaneous consumers’ practices in the household. This paper analyses issues of simultaneity in residential electricity demand in Spain. It makes use of the 2011 Spanish Time Use Survey data with comparisons from the previous Spanish Time Use Survey and the Harmonised European Time Use Surveys. Findings show that media activities are associated with the highest levels of continuity and simultaneity, particularly in the early and late parts of the evening during weekdays.

[1]  Denis Bolduc,et al.  A pseudo-panel data model of household electricity demand , 2011 .

[2]  Hiromi Ono,et al.  2. An Assessment of Alternative Measures of Time Use , 2003 .

[3]  Mikko Jalas,et al.  A Time Use Perspective on the Materials Intensity of Consumption , 2002 .

[4]  M. Lopez-Rodriguez,et al.  Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption , 2013 .

[5]  Ewa Wäckelgård,et al.  A combined Markov-chain and bottom-up approach to modelling of domestic lighting demand , 2009 .

[6]  M. Kwan Time, Information Technologies, and the Geographies of Everyday Life , 2002 .

[7]  Michael Conlon,et al.  Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study , 2012 .

[8]  Paul Thorsnes,et al.  Consumer responses to time varying prices for electricity , 2012 .

[9]  J. Widén,et al.  Constructing load profiles for household electricity and hot water from time-use data—Modelling approach and validation , 2009 .

[10]  R. Silverstone Time, Information and Communication Technologies and the Household , 1993 .

[11]  E. Shove Efficiency and Consumption: Technology and Practice , 2004 .

[12]  Philipp Grünewald,et al.  Demand Side Response: Patterns in Europe and Future Policy Perspectives under Capacity Mechanisms , 2014 .

[13]  Darren Robinson,et al.  A bottom-up stochastic model to predict building occupants' time-dependent activities , 2013 .

[14]  E. Shove,et al.  Debating the future of comfort: environmental sustainability, energy consumption and the indoor environment , 2005 .

[15]  Timothy J. Foxon,et al.  Transition pathways for a UK low carbon electricity future , 2013 .

[16]  Philipp Grünewald,et al.  Demand response from the non-domestic sector: Early UK experiences and future opportunities , 2013 .

[17]  Lucia A. Reisch,et al.  Time and Wealth , 2001 .

[18]  Andreas Reckwitz Toward a Theory of Social Practices , 2002 .

[19]  D. Kamerschen,et al.  The demand for residential, industrial and total electricity, 1973-1998 , 2004 .

[20]  Florian Schulz,et al.  Comparing Diary and Survey Estimates on Time Use , 2012 .

[21]  J. Silk,et al.  Short and long-run elasticities in US residential electricity demand: a co-integration approach , 1997 .

[22]  Matthew Leach,et al.  Discrete demand side control performance under dynamic building simulation : a heat pump application , 2012 .

[23]  Sarah C. Darby,et al.  Energy feedback in buildings: improving the infrastructure for demand reduction , 2008 .

[24]  J. Dana,et al.  Using Yield Management to Shift Demand When the Peak Time is Unknown , 1999 .

[25]  E. J. Gago,et al.  Development of an energy model for the residential sector: Electricity consumption in Andalusia, Spa , 2011 .

[26]  E. Shove Converging Conventions of Comfort, Cleanliness and Convenience , 2003 .

[27]  TV Times Time, Space and Television Scheduling , 1995 .

[28]  J. Torriti,et al.  Demand response experience in Europe: Policies, programmes and implementation , 2010 .

[29]  K. Steemers,et al.  A method of formulating energy load profile for domestic buildings in the UK , 2005 .

[30]  J. Torriti A review of time use models of residential electricity demand , 2014 .

[31]  I. Mansouri,et al.  Energy consumption in UK households: Impact of domestic electrical appliances , 1996 .

[32]  J. Widén,et al.  A high-resolution stochastic model of domestic activity patterns and electricity demand , 2010 .

[33]  Arlie Russell Hochschild,et al.  The Time Bind , 1997 .

[34]  J. Torriti,et al.  Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy , 2012 .

[35]  Massimo Filippini,et al.  Swiss Residential Demand for Electricity by Time-of-Use: An Application of the Almost Ideal Demand System* , 1995 .

[36]  Dale Southerton,et al.  `Squeezing Time' , 2003 .

[37]  G. Becker,et al.  A Theory of the Allocation of Time , 1965 .

[38]  Tijs Neutens,et al.  The Prism of Everyday Life: Towards a New Research Agenda for Time Geography , 2011 .

[39]  Gordon Walker,et al.  The dynamics of energy demand: Change, rhythm and synchronicity , 2014 .

[40]  David A. Huettner,et al.  The Feasibility of Changing Electricity Consumption Patterns , 1981 .

[41]  M. Cogoy,et al.  The consumer as a social and environmental actor , 1999 .

[42]  S. Borenstein The Long-Run Efficiency of Real-Time Electricity Pricing , 2005 .

[43]  David Infield,et al.  Domestic electricity use: A high-resolution energy demand model , 2010 .

[44]  Jacopo Torriti,et al.  Demand Side Management for the European Supergrid: Occupancy variances of European single-person households , 2012 .

[45]  Ian Richardson,et al.  A high-resolution domestic building occupancy model for energy demand simulations , 2008 .

[46]  Immanuel Stiess,et al.  Beyond Profitability of Energy-Saving Measures—Attitudes Towards Energy Saving , 2011 .

[47]  David Infield,et al.  The evolution of electricity demand and the role for demand side participation, in buildings and transport , 2013 .