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Structural Analysis and weather impact of Italian domestic annual CO2 emissions: a surveyon 250 families. Valentina Grasso 1, Alfonso Crisci 1 ,Valerio Capecchi 21 Institute of Biometeorology, National Research Council. Via Giovanni Caproni 8, 50145 ,Firenze, Italy. phone: + 39 055 3033701.2 LaMMa consortium - Laboratory for Meteorology and Enviromental modelling - CNR RegioneToscana . Via Madonna del Piano, 10, 50019 Sesto F.no, Florence, Italy, phone: + 39 055 4483045The Institute of Biometeorology (CNR) have led a energy saving communication actions in RACESproject (Raising Awareness on Climate and Energy Savings -European programme LIFE+). CarbonBudget was one of the most significant action involving 250 families annual monitoring of CO2emissions generated by family’s consumption behaviours. Five selected Italian cities wasconsidered: Florence, Trento, Modena, Bari and Potenza, showing different climatic andgeographical features.Family energy consumptions, and their equivalent CO2 emissions, have been investigated alongthree main components: domestic winter heating, household electrical load and family mobility bycar or motorcycles. The first aim was to identify which are the structural factors, like building andhouse features, heating surface and age structure, home location in urban context, the presence ofenergy intensive domestic appliance (i.e dishwasher, air–conditioner) affect significantly the familycarbon budget and, in each geographical context, how the local weather have modulated energyconsumption and equivalent CO2 emissions. Weather derivative as HDD- Heating Degree Days,CDD- Cooling Degree Days, and the amount of rainy days, RD, were considered.The role and weight of each variable has investigated trough a generalized linear model framework.factor significance design has been estimated for each family budget component (heating, electricaland mobility). The second target of this work was to evaluate the effectiveness of the project’scommunication actions involving families as drivers of consumption’s reductions. Each action havebeen evaluated as model confounders to quantify their impact on domestic consumption life-style.Overall results are showed and presented.Keywords: weather, energy consumption , C02 emissions, family, communication actions