@article{Ricci:158664,
      recid = {158664},
      author = {Ricci, Elena Claire},
      title = {Smart-Grids and Climate Change. Consumer adoption of smart  energy behaviour: a system dynamics approach to evaluate  the mitigation potential.},
      address = {2013-09},
      number = {824-2016-54818},
      series = {CCSD},
      pages = {43},
      year = {2013},
      abstract = {We build a system dynamics model to evaluate the potential  dynamics of consumer adoption of “Smart Energy Behaviour”.  Within this term we include different levels of: i) shift  in electricity consumption towards less costly-less  polluting and congestioning hours; ii) the reduction of  mainly wasteful electricity consumption, that maintains  similar levels of comfort; iii) the enrolment in demand  response programs; iv) electricity generation via  residential micro-photovoltaic (PV) systems. These  behavioural changes are triggered by the installation of  advanced metering systems and a tariff policy that prices  electricity according to time-of-use. The context analysed  is that of Italy, where the largest diffusion of smart  meters has taken place. We perform a set of 2500  simulations of our model with stochastic parameters to take  into account the uncertainty in their estimation, to find  that on average consumer involvement may induce on  aggregate a shift in residential electricity consumption of  13.0% by 2020 and of 29.6% by 2030; and reduction in  residential electricity consumption (just by reducing  wasteful consumption) of 2.5% by 2020 and 9.2% by 2030.  These consumption changes may have strong impacts on the  system operating costs (in the order of 380 M€/y by 2020,  1203 M€/y by 2030), on the CO2 emissions (in the order of  1.56 MtonCO2/y by 2020, 5.01 Mton CO2/y by 2030),  confirming the value of consumer participation.},
      url = {http://ageconsearch.umn.edu/record/158664},
      doi = {https://doi.org/10.22004/ag.econ.158664},
}