Residential building design optimisation using sensitivity analysis and genetic algorithm

被引:105
|
作者
Bre, Facundo [1 ,2 ]
Silva, Arthur Santos [3 ]
Ghisi, Enedir [3 ]
Fachinotti, Victor D. [1 ]
机构
[1] UNL, CONICET, Ctr Invest Metodos Computac CIMEC, Colectora Ruta Nacl 168 S-N, RA-3000 Santa Fe, Argentina
[2] UTN, FRCU, GIMCE, RA-3260 Concepcion Del Uruguay, Argentina
[3] Univ Fed Santa Catarina, Dept Civil Engn, Lab Energy Efficiency Bldg, BR-88040900 Florianopolis, SC, Brazil
关键词
Residential building; Multi-objective optimisation; Energy consumption; Hybrid ventilation; Sensitivity analysis; Genetic algorithms; EnergyPlus; SIMULATION-BASED OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; PERFORMANCE; ENERGYPLUS; GENERATION; ENVELOPE; SYSTEMS;
D O I
10.1016/j.enbuild.2016.10.025
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The objective of this paper is to combine sensitivity analysis and simulation-based optimisation in order to optimise the thermal and energy performance of residential buildings in the Argentine Littoral region. An actual house was selected as case study. This is a typical, local, single-family house having some rooms conditioned only by natural ventilation, and other rooms with natural ventilation supplemented by mechanical air-conditioning (hybrid ventilation). Hence, the total degree-hours at the naturally ventilated living room and the total energy consumption by air-conditioning at the bedrooms were chosen as objective functions to be minimised. The global objective function characterising the thermal and energy performance of the house was defined as the weighted sum of these objective functions. This objective function was computed using the EnergyPlus building performance simulation programme. Then, we performed a sensitivity analysis using the Morris screening method to rank the influence of the design variables on the objective function. This showed that the type of external walls, the windows infiltration rate and the solar azimuth were the most influential design variables on the given objective function for the considered house, and also that the azimuth either had a highly nonlinear effect on the objective function or was highly correlated to the others variables, deserving in any case a finer discretisation. Finally, we solved an optimisation problem using genetic algorithms in order to find the optimal set of design variables for the considered house. The results highlighted the efficiency and the effectiveness of the proposed methodology to redesign a typical house in the Argentine Littoral region, improving hugely its thermal and energy performance. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:853 / 866
页数:14
相关论文
共 50 条
  • [21] Fluid catalytic cracking optimisation using factorial design and genetic algorithm techniques
    Cuadros, Jose F.
    Melo, Delba C.
    Maciel Filho, Rubens
    Wolf Maciel, Maria R.
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2013, 91 (02): : 279 - 290
  • [22] Flight control system design and optimisation with a genetic algorithm
    Fantinutto, R
    Guglieri, G
    Quagliotti, FB
    AEROSPACE SCIENCE AND TECHNOLOGY, 2005, 9 (01) : 73 - 80
  • [23] Optimisation of Ensemble Classifiers using Genetic Algorithm
    Gaber, Mohamed Medhat
    Bader-El-Den, Mohamed
    ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 2012, 243 : 39 - 48
  • [24] Using genetic algorithm for fuzzy filter optimisation
    Stupák, C
    Marchevsky, S
    STATE OF THE ART IN COMPUTATIONAL INTELLIGENCE, 2000, : 386 - 387
  • [25] OPTIMISATION OF THE MACHINING PROCESS USING GENETIC ALGORITHM
    Cubonova, Nadezda
    Dodok, Tomas
    Sagova, Zuzana
    SCIENTIFIC JOURNAL OF SILESIAN UNIVERSITY OF TECHNOLOGY-SERIES TRANSPORT, 2019, 104 : 15 - 25
  • [26] Design and optimization of form and facade of an office building using the genetic algorithm
    Jalali, Zahra
    Noorzai, Esmatullah
    Heidari, Shahin
    SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2020, 26 (02) : 128 - 140
  • [27] Full optimisation and sensitivity analysis of a photovoltaic-thermal (PV/T) air system linked to a typical residential building
    Farshchimonfared, M.
    Bilbao, J. I.
    Sproul, A. B.
    SOLAR ENERGY, 2016, 136 : 15 - 22
  • [28] Automated instrument design and optimisation using a genetic algorithm running on a distributed processing network
    Roach, Greg
    Tickner, James
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2007, 263 (01): : 156 - 162
  • [29] Optimisation of the design of shell and double concentric tubes heat exchanger using the Genetic Algorithm
    Baadache, Khireddine
    Bougriou, Cherif
    HEAT AND MASS TRANSFER, 2015, 51 (10) : 1371 - 1381
  • [30] Multi-dimensional design optimisation of laminated structures using an improved genetic algorithm
    Tabakov, PY
    COMPOSITE STRUCTURES, 2001, 54 (2-3) : 349 - 354