Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 10th Sept 2026, 07:06:44pm CEST (Norway)
External resources will be made available 30 min before a session starts. You may have to reload the page to access the resources.
|
Daily Overview |
| Session | |
|
Renewable energy and climate adaptation Location: Auditorium I Session Chair: Marc Yeterian, Paris Dauphine University | |
| Presentation 3 | |
Street green space and electricity demand: evidence from metered consumption data 1: Euro-Mediterranean Center on Climate Change (CMCC), Italy; 2: International Institute for Applied Systems Analysis (IIASA), Austria; 3: Department of Economics, Ca' Foscari University of Venice, Italy Growing climate change impacts call for increasing efforts to adapt and reduce adverse consequences on society. However, adaptation is often costly for both governments and private citizens and it can itself drive additional impacts. A key example is the high energy-intensiveness of appliances for indoor air temperature regulation. In this paper, we empirically evaluate the temperature regulation effect of street green space (SGS) and its relevance for residential electricity demand. We exploit a monthly panel of household metered electricity demand data from n=129,524 households located in 2,181 municipalities distributed across Italy in the 2020-2022 period. Based on the empirical analysis, we find that SGS is an important regulating factor in the temperature-energy demand relation. Specifically, we find that SGS density has a strongly significant non-linear effect on the the impact of temperature of household electricity demand, with the strongest impact being a consumption reduction effect under hot temperatures. Such responses are heterogeneous, as they depend on the heat exposure level and the degree of urbanisation. We estimate that a policy aimed at increasing SGS to a minimum level of municipality-level mean GVI of 25 - a value currently at around the 75th percentile of the distribution in the municipalities covered by our analysis - would strongly contribute to counterbalancing the climate-change induced increase in residential electricity consumption. Such policy would reduce by more than two thirds the growth in the summer-months residential electricity consumption driven by climate change (under RCP 8.5 climate conditions around 2050), compared to the absence of such policy. Our results provide for the first time a range of empirical estimates for the role of SGS in the temperature-energy demand relation. Such evidence can be relevant both in relation the potential of energy demand reductions in supporting climate change mitigation efforts, and in the quest for sustainable, nature-based solutions for adaptation to climate impacts such as heat exposure. | |
