2018
DOI: 10.1016/j.enbuild.2017.10.102
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A multi-objective optimization design method in zero energy building study: A case study concerning small mass buildings in cold district of China

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Cited by 40 publications
(10 citation statements)
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“…An obvious lag between MCDM application in construction and that in general is identified when referring to the dendrogram of MADM (see Figure 1) and the dendrogram of MODM (see Figure 2). For example, the revised PROMETHEE-II methods based on Brans (1982) in general are still commonly utilized in construction in recent years, which can be seen from Cavalcante et al (2017), Silva et al (2017) and Wu et al (2018a). On the other hand, NSGA-II proposed by Deb et al (2002) in general is not widespread in construction until recently (Lin et al, 2016;Yang et al, 2017;Wu et al, 2018b).…”
Section: Challenges and Knowledge Gaps In Constructionmentioning
confidence: 99%
“…An obvious lag between MCDM application in construction and that in general is identified when referring to the dendrogram of MADM (see Figure 1) and the dendrogram of MODM (see Figure 2). For example, the revised PROMETHEE-II methods based on Brans (1982) in general are still commonly utilized in construction in recent years, which can be seen from Cavalcante et al (2017), Silva et al (2017) and Wu et al (2018a). On the other hand, NSGA-II proposed by Deb et al (2002) in general is not widespread in construction until recently (Lin et al, 2016;Yang et al, 2017;Wu et al, 2018b).…”
Section: Challenges and Knowledge Gaps In Constructionmentioning
confidence: 99%
“…The investment cost Bingham et al [44] • Percentage of Persons Dissatisfied Zhang et al [45] • N.M. Mostavi et al [46] • N.M. Bre and Fachinotti [47] • N.A. Hamdy and Mauro [48] • Overheating in summer Wu et al [49] • Heat transfer coefficient constraint Lin et al [50] • N.A.…”
Section: Study Constraintsmentioning
confidence: 99%
“…Ascione [33] used a genetic algorithm to carry out multi-objective optimization for building envelope design, proposed different optimization objectives for different private and public stakeholders, and formulated the best design strategy. Additionally, Ciulla et al [34] used TRNSYS to simulate the energy consumption of non-residential buildings in Europe, and combined with a neural network, developed a building energy consumption prediction tool. Wu et al [35] established the multi-objective optimization model of zero energy consumption buildings by combining multi-objective optimization technology with a comprehensive evaluation method.…”
Section: Introductionmentioning
confidence: 99%
“…Whether improvement of the thermal performance of the building envelope can achieve good energy savings and economic and environmental benefits remains to be studied and analyzed. Many researchers have used building simulation software and optimization selection tools to optimize the specific building envelope structure with the thermal performance, cost, and environmental impact as objectives [31][32][33][34][35]. However, there is a lack of summary research on the practices of the green building envelope in different climate regions of China, and a corresponding multi-index evaluation system has not yet been formed.…”
Section: Introductionmentioning
confidence: 99%