Building climate zones of major marine islands in China defined using two-stage zoning method and clustering analysis

Frontiers of Architectural Research - Tập 10 - Trang 134-147 - 2021
Ziyang Hao1, Xiaojing Zhang1, Jingchao Xie1, Jianping Wang2, Jiaping Liu1
1Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China
2Naval Institute of Engineering Design and Research, PLA, Beijing 100070, China

Tài liệu tham khảo

Arroyo, 2017, Analysis of meteorological conditions in Spain by means of clustering techniques, J. Appl. Logic, 24, 76, 10.1016/j.jal.2016.11.026 Axley, 2002, A method to assess the suitability of a climate for natural ventilation of commercial buildings, Indoor Air, 9 Caliński, 1974, A dendrite method for cluster analysis, Commun. Stat.-Theory Methods, 3, 1, 10.1080/03610927408827101 1993 2016 Cui, 2018, Sea-land climate differences and ocean building climate partition situation in our country, J. Harbin Inst. Technol., 50, 191 Cui, 2018, Study on the influence law of sea reflection characteristics on building air conditioning load in island-reef areas, Build. Sci., 34, 92 Cui, 2019, Research on total heat transfer coefficient at exterior building surface in extreme hot-humid climate zone, ACTA ENERGI SIN, 40, 586 Duda, 1973, 482 Evins, 2020, The impact of local variations in a temperate maritime climate on building energy use, J Build Perform Simul, 13, 167, 10.1080/19401493.2018.1536167 Fovell, 1993, Climate zones of the conterminous United States defined using cluster analysis, J. Clim., 6, 2103, 10.1175/1520-0442(1993)006<2103:CZOTCU>2.0.CO;2 Geiger, 1961 Germano, 2006, Multicriteria assessment of natural ventilation potential, Sol. Energy, 80, 393, 10.1016/j.solener.2005.03.005 Han, 2008, Comparison of undimensionalization in SPSS cluster Analysis, Science Mosaic, 229 Jain, 1999, Data clustering: a review, ACM Comput. Surv., 31, 264, 10.1145/331499.331504 Ji, 2007, Improvement of data processing method in principal component analysis, J. Shandong Univ. Sci. Technol. (Nat. Sci.), 26, 95 2018 2019 Mitterer, 2012, 229 Murtagh, 2005 2005 Peel, 2007, Updated world map of the Köppen-Geiger climate classification, Hydrol. Earth Syst. Sci., 11, 1633, 10.5194/hess-11-1633-2007 Philippe, 2019, GIS-based approach to identify climatic zoning: a hierarchical clustering on principal component analysis, Build. Environ., 164, 106330 1983 2017, The CLUSTER procedure, 2194 Shen, 2019, The feasibility and importance of considering climate change impacts in building retrofit analysis, Appl. Energy, 233, 254, 10.1016/j.apenergy.2018.10.041 Su, 2019, Research on evaluation method of natural ventilation of island buildings in Xisha area. Proceedings of the 2019 Annual Conference on HVAC Simulation in China, Building Environment & Energy, vol. 5, 168 Szmrecsanyi, 2012 2019, 9 Unal, 2003, Redefining the climate zones of Turkey using cluster analysis, Int. J. Climatol., 23, 1045, 10.1002/joc.910 Walsh, 2017, Comparison of three climatic zoning methodologies for building energy efficiency applications, Energy Build., 146, 111, 10.1016/j.enbuild.2017.04.044 Wan, 2010, Climate classifications and building energy use implications in China, Energy Build., 42, 1463, 10.1016/j.enbuild.2010.03.016 Ward, 1963, Hierarchical grouping to optimize an objective function, J. Am. Stat. Assoc., 58, 236, 10.1080/01621459.1963.10500845 Xie, 1994, An introduction to Code for thermal design of civil building, GB50178-93, Build. Sci., 4, 57 Xiong, 2019, A hierarchical climatic zoning method for energy efficient building design applied in the region with diverse climate characteristics, Energy Build., 186, 355, 10.1016/j.enbuild.2019.01.005 Yang, 2005 Yang, 2008, Energy performance of building envelopes in different climate zones in China, Appl. Energy, 85, 800, 10.1016/j.apenergy.2007.11.002