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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

邮发代号 80-968

2019 Impact Factor: 1.68

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Frontiers of Structural and Civil Engineering  2020, Vol. 14 Issue (5): 1049-1055   https://doi.org/10.1007/s11709-020-0668-6
  本期目录
Green building research from design to operation in the past 20 years: A perspective
Borong LIN1,2, Yi WANG3,4, Jiaping LIU3,5(), Juan YU1,2
1. Department of Building Science, Tsinghua University, Beijing 100084, China
2. Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China
3. State Key Laboratory of Green Building in Western China, Xi’an University of Architecture and Technology, Xi’an 710055, China
4. School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
5. College of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
 全文: PDF(368 KB)   HTML
收稿日期: 2020-03-07      出版日期: 2020-11-16
Corresponding Author(s): Jiaping LIU   
 引用本文:   
. [J]. Frontiers of Structural and Civil Engineering, 2020, 14(5): 1049-1055.
Borong LIN, Yi WANG, Jiaping LIU, Juan YU. Green building research from design to operation in the past 20 years: A perspective. Front. Struct. Civ. Eng., 2020, 14(5): 1049-1055.
 链接本文:  
https://academic.hep.com.cn/fsce/CN/10.1007/s11709-020-0668-6
https://academic.hep.com.cn/fsce/CN/Y2020/V14/I5/1049
Fig.1  
no. country/region quantity ratio of quantity times cited ratio of times cited citations per paper
1 China 42 22.83%? 2661? 35.76%? 63.36
2 USA 27 14.67%? 1331? 17.89%? 49.30
3 Australia 25 13.59%? 1130? 15.18%? 45.20
4 Italy 15 8.15% 394 5.29% 26.27
5 UK 14 7.61% 398 5.35% 28.43
6 Singapore 10 5.43% 224 3.01% 22.40
7 Spain ?9 4.89% 556 7.47% 61.78
8 Switzerland ?9 4.89% 372 5.00% 41.33
9 Norway ?9 4.89% 209 2.81% 23.22
10 Germany ?8 4.35% 244 3.28% 30.50
Tab.1  
NO. Institution Quantity Ratio of quantity T Ratio of times cited Citations per paper
1 Hong Kong Polytechnic University 18 9.78% 1021 13.72% 56.72
2 National University of Singapore 8 4.35% 205 2.75% 25.63
3 Chongqing University 7 3.80% 279 3.75% 39.86
4 City University of Hong Kong 5 2.72% 756 10.16% 151.20
5 the University of Melbourne 5 2.72% 186 2.50% 37.20
6 Central Queensland University 5 2.72% 163 2.19% 32.60
7 University of Perugia 4 2.17% 255 3.43% 63.75
8 Norwegian University of Science and Technology 4 2.17% 134 1.80% 33.50
9 Yonsei University 4 2.17% 124 1.67% 31.00
10 Swiss Fed Inst Technol 4 2.17% 94 1.26% 23.50
Tab.2  
Fig.2  
Fig.3  
no. country/region citing quantity ratio of citing quantity mean year
1 China 1429? 28.43%? 2017.4
2 USA 766 15.24%? 2017.0
3 UK 518 10.31%? 2017.1
4 Australia 502 9.99% 2017.1
5 Italy 471 9.37% 2016.9
6 Spain 333 6.63% 2017.1
7 Germany 235 4.68% 2017.2
8 Canada 205 4.08% 2017.4
9 South Korea 201 4.00% 2017.1
10 France 195 3.88% 2016.8
Tab.3  
no. institution citing quantity ratio of citing quantity mean year
1 Hong Kong Polytechnic University 208? 21.73%? 2017.3
2 Tsinghua University 104? 10.87%? 2017.6
3 Chongqing University 94 9.82% 2017.5
4 Chinese Academy of Sciences 81 8.46% 2017.2
5 National University of Singapore 78 8.15% 2017.2
6 City University of Hong Kong 71 7.42% 2016.4
7 Tongji University 67 7.00% 2017.4
8 Yonsei University 66 6.90% 2016.4
9 Shenzhen University 66 6.90% 2017.3
10 University of Perugia 61 6.37% 2016.3
Tab.4  
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https://doi.org/10.1016/j.habitatint.2016.07.001
2 Dodge Data & Analytics. World Green Building Trends in 2018. 2018
3 K Adalberth. Energy use during the life cycle of buildings: A method. Building and Environment, 1997, 32(4): 317–320
https://doi.org/10.1016/S0360-1323(96)00068-6
4 T Z Hong, S K Chou, T Y Bong. Building simulation: An overview of developments and information sources. Building and Environment, 2000, 35(4): 347–361
https://doi.org/10.1016/S0360-1323(99)00023-2
5 P de Wilde, M van der Voorden. Providing computational support for the selection of energy saving building components. Energy and Building, 2004, 36(8): 749–758
https://doi.org/10.1016/j.enbuild.2004.01.003
6 S G Attia, A D Herde. Early design simulation tools for net zero energy buildings: A comparison of ten tools. In: The 12th Conference on International Building Performance Simulation Association. Sydney: Springer, 2011, 94–101
7 T Østergård, R L Jensen, S E Maagaard. Building simulations supporting decision making in early design—A review. Renewable & Sustainable Energy Reviews, 2016, 61: 187–201
https://doi.org/10.1016/j.rser.2016.03.045
8 P O Fanger. Thermal Comfort. Copenhagen: Danish Technology Press, 1970
9 T Cheung, S Schiavon, T Parkinson, P Li, G Brager. Analysis of the accuracy on PMV-PPD model using the ASHRAE Global Thermal Comfort Database II. Building and Environment, 2019, 153: 205–217
https://doi.org/10.1016/j.buildenv.2019.01.055
10 R J de Dear, G S Brager. Developing an adaptive model of thermal comfort and preference. ASHRAE Transactions, 1998, 104(1): 145–167
11 ASHRAE/CIBSE/USGBC. Performance Measurement Protocols for Commercial Buildings. 2010
12 M Karami, G V McMorrow, L P Wang. Continuous monitoring of indoor environmental quality using an Arduino-based data acquisition system. Journal of Building Engineering, 2018, 19: 412–419
13 T Parkinson, A Parkinson, R de Dear. Continuous IEQ monitoring system: Context and development. Building and Environment, 2019, 149: 15–25
https://doi.org/10.1016/j.buildenv.2018.12.010
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