A new methodology for cost-optimal analysis by means of the multi-objective optimization of building energy performance

被引:139
作者
Ascione, Fabrizio [1 ]
Bianco, Nicola [1 ]
De Stasio, Claudio [1 ]
Mauro, Gerardo Maria
Vanoli, Giuseppe Peter [2 ]
机构
[1] Univ Naples Federico II, Dept Ind Engn, DII, I-80125 Naples, Italy
[2] Univ Sannio, DING, I-82100 Benevento, Italy
关键词
Cost-optimal analysis; Multi-objective optimization; Energy efficiency; Thermal comfort; Energy retrofit; Genetic algorithms; Energy Plus; MatLab; RESIDENTIAL BUILDINGS; DESIGN OPTIMIZATION; SIMULATION; UNCERTAINTY; ALGORITHM;
D O I
10.1016/j.enbuild.2014.11.058
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The recast version of the Energy Performance of Buildings Directive (2010/31/EU) proposes a comparative methodology aimed at defining the energy performance of buildings "with a view to achieving cost-optimal levels". Really, how can the cost-optimal technologies be detected? Moreover, how can the most proper packages of energy efficiency measures be chosen in order to obtain the cost-optimality? This paper would provide answers to these questions, by proposing a new methodology for the evaluation of the cost-optimality, by means of the multi-objective optimization of energy performance of buildings and indoor thermal comfort. The optimization procedure is developed by means of the coupling between MatLab and EnergyPlus, by implementing a genetic algorithm, and it allows the evaluation of profitable and feasible packages of energy efficiency measures applied to buildings. Then, following the adoption of these packages, the global cost over the lifecycle of the building is calculated, in order to identify the cost-optimal solution. After the presentation of the methodology, the developed method is proposed for the optimization of the energy retrofit of an existing building. Furthermore, the method can be applied also for new architectures, by considering reference buildings. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:78 / 90
页数:13
相关论文
共 30 条
[1]   A review on simulation-based optimization methods applied to building performance analysis [J].
Anh-Tuan Nguyen ;
Reiter, Sigrid ;
Rigo, Philippe .
APPLIED ENERGY, 2014, 113 :1043-1058
[2]  
[Anonymous], 2010, MATRIXLABORATORY 7 1
[3]  
ASHRAE A. S., 1992, 55 THERMAL ENV CONDI
[4]   Design optimisation for a low energy home in Sydney [J].
Bambrook, S. M. ;
Sproul, A. B. ;
Jacob, D. .
ENERGY AND BUILDINGS, 2011, 43 (07) :1702-1711
[5]   Development of a multicriteria tool for optimizing the renovation of buildings [J].
Chantrelle, Fanny Pernodet ;
Lahmidi, Hicham ;
Keilholz, Werner ;
El Mankibi, Mohamed ;
Michel, Pierre .
APPLIED ENERGY, 2011, 88 (04) :1386-1394
[6]  
Conn AR, 2009, MOS-SIAM SER OPTIMIZ, V8, P1
[7]   Reference buildings for cost optimal analysis: Method of definition and application [J].
Corgnati, Stefano Paolo ;
Fabrizio, Enrico ;
Filippi, Marco ;
Monetti, Valentina .
APPLIED ENERGY, 2013, 102 :983-993
[8]  
Deb K., 2001, MULTIOBJECTIVE OPTIM, V2012
[9]  
DesignBuilder, 2013, DESIGNBUILDER USERS
[10]   A multi-objective decision model for the improvement of energy efficiency in buildings [J].
Diakaki, Christina ;
Grigoroudis, Evangelos ;
Kabelis, Nikos ;
Kolokotsa, Dionyssia ;
Kalaitzakis, Kostas ;
Stavrakakis, George .
ENERGY, 2010, 35 (12) :5483-5496