现有建筑的建筑和能源分类:以巴勒莫市某地区为例

P. Ferrante, M. La Gennusa, G. Peri, V. Porretto, E. R. Sanseverino, Valentina Vaccaro
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引用次数: 5

摘要

城镇管理部门正日益面临这样的挑战,即通过提高城市能源系统的效率来确定智能规划行动,以减少城市的能源需求。建筑在能源需求和供应方面都扮演着重要的角色。在这种情况下,社区或地区规模似乎是最适合实施智能规划所依赖的多学科方法的。本文展示了在巴勒莫市(西西里岛,意大利)的一个地区,现有建筑的建筑能源分类方法的应用。这种方法为建筑部门提供了一个简单的工具,可以使用市政当局可用的数据支持地区规模的智能规划。这项工作还展示了对社区特征的第一个实验方法。指导这项工作的基本思想是确定社区集群能源翻新的可能特征和后续干预行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the architectural and energy classification of existing buildings: A case study of a district in the city of Palermo
Town Administrations are increasingly facing the challenge to identify smart planning actions to reduce the cities' energy demand by improving the efficiency of the urban energy systems. Buildings play an important role in this regarding both the demand and supply energy. In this scenario, the neighborhood or district scale seems to be the most appropriate to implement a multi-disciplinary approach on which smart planning relies. This paper shows the application, to a district of the city of Palermo (Sicily, Italy), of a methodology for architectural-energy classification of existing buildings. Such methodology provides, regarding the building sector, an easy tool that can support smart planning at district scale using data available to the municipalities. The work also shows a first experimental approach for the neighborhoods' characterization. The basic idea guiding this work is to identify possible features and subsequent intervention actions for energy refurbishment in neighborhoods clusters.
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