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Review of Environment, Energy and Economics
handle: 2434/236559 , 11562/996501
This article aims at analysing the potential of consumer empowerment and engagement in the electric power system, focusing on the case of Italy. Firstly, we build a System Dynamics model to evaluate the potential dynamics of consumer adoption of ‘Smart Energy Behaviours’, including within this term different levels and combinations of the following actions/behaviours: i) changes in the electricity consumption patterns; ii) effortless reduction of wasteful electricity consumption; iii) participation in Demand Response programmes; iv) residential electricity generation. Secondly, we evaluate the impacts of such adoption dynamics on the national electric power system in terms of electricity demand, system costs, and greenhouse gas emission reductions. Results indicate that consumer behavioural changes can induce important benefits to the system and participate to the reduction of the electric sector carbon footprint in an efficient way. Thus, innovative policies and initiatives that promote a more proactive end-user interaction and involvement in the consumption and production of electricity should be highly encouraged.
- University of Verona Italy
- University of Verona Italy
- University of Milan Italy
Smart-Grids ; System dynamics ; Demand response ; Demand management ; Consumer choices ; Climate policy, Smart-Grids, System Dynamics, Demand Response, Demand Management, Consumer Choices, Climate Policy, Settore SECS-P/01 - Economia Politica, jel: jel:Q54, jel: jel:Q42, jel: jel:Q01
Smart-Grids ; System dynamics ; Demand response ; Demand management ; Consumer choices ; Climate policy, Smart-Grids, System Dynamics, Demand Response, Demand Management, Consumer Choices, Climate Policy, Settore SECS-P/01 - Economia Politica, jel: jel:Q54, jel: jel:Q42, jel: jel:Q01
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
