Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery

被引：14

作者：

Gumbarevic, Sanjin ^{[1
]}

Dunovic, Ivana Burcar ^{[1
]}

Milovanovic, Bojan ^{[1
]}

Gasi, Mergim ^{[1
]}

机构：

[1] Univ Zagreb, Fac Civil Engn, Zagreb 10000, Croatia

来源：

ENERGIES | 2020年 / 13卷 / 20期

关键词：

nearly zero-energy building; building information modeling; project delivery; project control; building energy modeling; MOLD GROWTH; MOISTURE; CRITERIA;

D O I：

10.3390/en13205519

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

With the increasing number of nearly zero-energy buildings (NZEB) due to increase of global awareness on climate change, the new concepts of design and control must be developed because of great NZEB dependency on detailing and multidisciplinary approach. This paper proposes a three-level gateway control method for NZEB project delivery by using digital representation of the building in building information modeling (BIM) environment. These controls (C1, C2 and C3) are introduced before three main phases of any project delivery-design phase, construction phase and handover. The proposed project control procedure uses black-box building energy modeling within the BIM environment, so the paper explores the reliability of one tool for direct energy modeling within the BIM-authoring software. The paper shows two types of validation tests with satisfactory results. This leads to conclusion that analyzed tool for energy simulation within BIM environment can be used in a way that is described in a proposed project control procedure. For further research it is proposed to explore reliability of tools for energy simulation connected to other BIM-authoring software, so this project control procedure could be independent of BIM-authoring software used in the paper.

引用

页数：21

共 42 条

[11]

Building Performance Institute, 2017, TECHNICAL REPORT

[12]

Carli R., 2015, P 2015 IEEE INT C AU

[13] Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines [J].

Cheng, Min-Yuan ;

Cao, Minh-Tu .

APPLIED SOFT COMPUTING, 2014, 22 :178-188

[14] A Study of Energy Simulation Integrated Process by Automated Extraction Module of the BIM Geometry Module [J].

Choi, Jun-Woo ;

Jun, Yong-Joon ;

Yoon, Jin-ha ;

Song, Young-hak ;

Park, Kyung-Soon .

ENERGIES, 2019, 12 (13)

[15] How to evaluate performance of net zero energy building - A literature research [J].

Deng, S. ;

Wang, R. Z. ;

Dai, Y. J. .

ENERGY, 2014, 71 :1-16

[16] Predicting Heating and Cooling Loads in Energy-Efficient Buildings Using Two Hybrid Intelligent Models [J].

Dieu Tien Bui ;

Hossein Moayedi ;

Anastasios, Dounis ;

Foong, Loke Kok .

APPLIED SCIENCES-BASEL, 2019, 9 (17)

[17]

Dotoli M., 2019, P 2019 18 EUR CONTR

[18]

European Commission, 2018, EUR STRAT LONG TERM, DOI DOI 10.1017/CBO9781107415324.004

[19] Building information modelling based building energy modelling: A review [J].

Gao, Hao ;

Koch, Christian ;

Wu, Yupeng .

APPLIED ENERGY, 2019, 238 :320-343

[20] Realisation of energy performance targets of an old apartment building renovated to nZEB [J].

Hamburg, Anti ;

Kuusk, Kalle ;

Mikola, Alo ;

Kalamees, Targo .

ENERGY, 2020, 194

← 1 2 3 4 5 →