Design the refurbishment of historic buildings with the cost-optimal methodology: The case study of a XV century Italian building

被引:65
|
作者
Ascione, Fabrizio [1 ]
Cheche, Nicla [1 ]
De Masi, Rosa Francesca [1 ]
Minichiello, Francesco [1 ]
Vanoli, Giuseppe Peter [2 ]
机构
[1] Univ Naples Federico II, DII Dept Ind Engn, I-80125 Naples, Italy
[2] Univ Sannio, DING Dept Engn, I-82100 Benevento, Italy
关键词
Historic building; Reference building; Energy saving; Energy refurbishment; Cost-optimal methodology; OPTIMIZATION METHOD; ENERGY-CONSUMPTION; STOCK; RETROFIT; DEFINITION;
D O I
10.1016/j.enbuild.2015.04.027
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In order to deliver the European energy and climate objectives to 2050, significant changes are essential in the building sector, especially regarding the existing stock. Indeed, there is a huge potential for action, also regarding historic buildings. In this regard, today the question is: how to combine the building protection requirements and the application of energy efficiency measures? This paper tries to answer, evaluating if the refurbishment of historic architectures, in order to achieve very low energy need, is possible and economically feasible. More in detail, the, applicability of the cost-optimal methodology (EPBD Recast 2010/31/EU) for historic buildings is discussed, by adopting the macroeconomic perspective, in order to take into account of the energy, environmental and economic impacts of about 60 packages of energy efficiency measures. The study is aimed to introduce a methodological approach to define reference buildings for historic architectures, through in-situ investigation of structural and energy peculiarities and, as real case study, the refurbishment of an Italian building of the XV century is presented. Moreover, guidelines are proposed to properly select energy efficiency measures, according to a point of view of cost-optimality. Conservation, aesthetical requirements, structural and energy issues are considered, as well as the incidence of all economic factors. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:162 / 176
页数:15
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