Financial and energy performance analysis of efficiency measures in residential buildings. A probabilistic approach

被引:6
作者
Scarpa, Federico [1 ]
Tagliafico, Luca A. [1 ]
Bianco, Vincenzo [1 ]
机构
[1] Univ Genoa, DIME TEC, Div Thermal Energy & Environm Conditioning, Via AllOpera Pia 15-A, I-16145 Genoa, Italy
基金
欧盟地平线“2020”;
关键词
Energy efficiency; Probabilistic approach; Monte Carlo; Retrofitting; Risk analysis; UNCERTAINTY ANALYSIS; RISK-MANAGEMENT; CONSUMPTION; RETROFIT; INVESTMENTS; TYPOLOGIES;
D O I
10.1016/j.energy.2021.121491
中图分类号
O414.1 [热力学];
学科分类号
摘要
The present paper presents a methodology to effectively address the evaluation of building energy retrofitting projects in a highly uncertain context. Buildings are modelled in terms of archetypes which are characterized by specific features, e.g., U-values, heating plant typology, surface to volume ratio, etc. By using the Monte Carlo approach, the proposed method can address the influence of more than thirty important parameters on the final result in terms of energy savings, Net Present Value and other indices aimed to quantify the level of risk associated to complex energy efficiency interventions, e.g., energy saving at risk. The methodology is tested on a case study related to a building built in the '60s and located in Rome, Italy. However, the method is applicable irrespectively of the location, climatic conditions, and typology of the building. Results highlight that a retrofitting intervention consisting in wall insulation has a risk to be unprofitable equal to 47%. This can be ascribed to the mild climatic conditions of the location. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:13
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