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| DOI | 10.1016/j.enpol.2021.112639 |
| Residential electricity demand projections for Italy: A spatial downscaling approach | |
| Rizzati M.; De Cian E.; Guastella G.; Mistry M.N.; Pareglio S. | |
| 发表日期 | 2022 |
| ISSN | 0301-4215 |
| 卷号 | 160 |
| 英文摘要 | This work projects future residential electricity demand in Italy at the local (1 km grid) level based on population, land use, socio-economic and climate scenarios for the year 2050. A two-step approach is employed. In the first step, a grid-level model is estimated to explain land use as a function of socio-economic and demographic variables. In the second step, a provincial-level model explaining residential electricity intensity (gigawatt hours [GWh] per kilometre of residential land) as a function of socio-economic and climatic information is estimated. The estimates of the two models are then combined to project downscaled residential electricity consumption. The evidence suggests not only that the residential electricity demand will increase in the future but, most importantly, that its spatial distribution and dispersion will change in the next decades mostly due to changes in population density. Policy implications are discussed in relation to efficiency measures and the design of green energy supply from local production plants to facilitate matching demand with supply. © 2021 Elsevier Ltd |
| 英文关键词 | Electricity demand; Linear mixed models; Projections; Spatial downscaling |
| 语种 | 英语 |
| scopus关键词 | Economics; Electric power utilization; Housing; Population statistics; Public policy; Demand projection; Down-scaling; Electricity demands; Grid levels; Level model; Linear mixed models; Projection; Residential Electricity demands; Socio-economics; Spatial downscaling; Land use; demand analysis; downscaling; electricity supply; energy efficiency; energy use; numerical model; residential energy; spatial analysis; Italy |
| 来源期刊 | Energy Policy
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/256454 |
| 作者单位 | Fondazione Eni Enrico Mattei, Italy; Department of Economics, Ca’ Foscari University of Venice - Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC) - RFF-CMCC European Institute on Economics and the Environment, Italy; Fondazione Eni Enrico Mattei – Department of Mathematics and Physics, Università Cattolica Del Sacro Cuore, Italy; Department of Public Health, Environments and Society (PHES), London School of Hygiene & Tropical Medicine (LSHTM)UK, United Kingdom |
| 推荐引用方式 GB/T 7714 | Rizzati M.,De Cian E.,Guastella G.,et al. Residential electricity demand projections for Italy: A spatial downscaling approach[J],2022,160. |
| APA | Rizzati M.,De Cian E.,Guastella G.,Mistry M.N.,&Pareglio S..(2022).Residential electricity demand projections for Italy: A spatial downscaling approach.Energy Policy,160. |
| MLA | Rizzati M.,et al."Residential electricity demand projections for Italy: A spatial downscaling approach".Energy Policy 160(2022). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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