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Cooling demand in integrated assessment models: a methodological review

Abstract The paper systematically reviews and compares 88 scenarios of energy demand in commercial and residential buildings that include the additional energy use or savings induced by thermal adaptation in heating and cooling needs at global level. The resulting studies are grouped in a novel classification that makes it possible to systematically understand why the energy projections of integrated assessment models vary depending on how changes in climatic conditions and the associated adaptation needs are modeled. Projections underestimate the energy demand of the building sector when it is driven only by income, population, unchanging climatic conditions and their associated adaptation needs. Across the studies reviewed, already by 2050 climate change will induce a median 30% (90%) percentage variation of a building’s energy demand for cooling and a median −8% (−24%) percentage variation for heating, leading to a 2% (13%) increase when cooling and heating are combined, under the Representative Concentration Pathway 1.9 (8.5). The results underscore that models lacking extensive margin adjustments, and models that focus on residential demand, highly underestimate the additional cooling needs of the building sector. Topics that deserve further investigation regard improving the characterization of adopting energy-using goods that provide thermal adaptation services and better articulating the heterogeneous needs across sectors.
- European Institute United States
- Euro-Mediterranean Center for Climate Change Italy
- Euro-Mediterranean Center for Climate Change Italy
- European Institute United States
- Ca Foscari University of Venice Italy
energy demand, Science, Physics, QC1-999, Q, adaptation, Environmental technology. Sanitary engineering, Environmental sciences, climate change, GE1-350, integrated assessment models, space cooling, TD1-1066
energy demand, Science, Physics, QC1-999, Q, adaptation, Environmental technology. Sanitary engineering, Environmental sciences, climate change, GE1-350, integrated assessment models, space cooling, TD1-1066
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).14 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.Top 10% 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.Top 10%
