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居民能源消费行为对居民建筑能耗的影响——以悉尼典型居民家庭为例

童泉格,孙涵,成金华,马贞俊

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童泉格, 孙涵, 成金华, 马贞俊. 居民能源消费行为对居民建筑能耗的影响——以悉尼典型居民家庭为例[J]. bob手机在线登陆学报(社会科学版), 2017, (1): 9-19. doi: 10.15918/j.jbitss1009-3370.2017.0102
引用本文: 童泉格, 孙涵, 成金华, 马贞俊. 居民能源消费行为对居民建筑能耗的影响——以悉尼典型居民家庭为例[J]. bob手机在线登陆学报(社会科学版), 2017, (1): 9-19.doi:10.15918/j.jbitss1009-3370.2017.0102
TONG Quange, SUN Han, CHENG Jinhua, MA Zhenjun. Investigation of Impacts of Energy-related Behaviors on Residential Building Energy Consumption Using Design of Experiment——Based on Typical Sydney Families[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2017, (1): 9-19. doi: 10.15918/j.jbitss1009-3370.2017.0102
Citation: TONG Quange, SUN Han, CHENG Jinhua, MA Zhenjun. Investigation of Impacts of Energy-related Behaviors on Residential Building Energy Consumption Using Design of Experiment——Based on Typical Sydney Families[J].Journal of Beijing Institute of Technology (Social Sciences Edition), 2017, (1): 9-19.doi:10.15918/j.jbitss1009-3370.2017.0102

居民能源消费行为对居民建筑能耗的影响——以悉尼典型居民家庭为例

doi:10.15918/j.jbitss1009-3370.2017.0102
基金项目:

国家自然科学基金资助项目(71103164);教育部人文社科基金资助项目(15YJC790091)

Investigation of Impacts of Energy-related Behaviors on Residential Building Energy Consumption Using Design of Experiment——Based on Typical Sydney Families

  • 摘要:选取实际建筑,首次有效地将居民建筑能源消费模型和DOE(Design of Experiment)实验设计法相结合,从微观层面对不同居民家庭住宅能耗进行多次模拟,分析不同居民家庭的人均能耗差异及导致差异的关键能源消费行为。研究结果表明:不同能源消费行为会造成人均能耗的巨大差异,居住在同一建筑情况下,65岁独居退休夫妇的人均能耗是35~64岁之间并且有2名未成年人生活的工薪家庭的1.65倍,是25~34岁并且没有未成年人的工薪家庭的1.23倍。造成此差异的各个能源消费行为中,家庭成员数目对于居民人均能耗影响程度最大,其次分别为地理位置、居民年龄、空调最低温度设定及建筑空调覆盖面积。因此,合理引导并控制居民能源消费,政府需要在重点关注家庭能源消费区域差异性的同时,积极从居民家庭模式、居民年龄结构层面进行宏观引导,并且大力倡导居民在满足舒适度情况下合理控制住宅制冷温度及住宅空调覆盖面积。
  • [1] International Energy Agency. Energy efficency taining week:understanding builidng energy use[EB/OL].(2015-07-09)[2016-08-04].https://www.iea.org/media/training/presentations/etw2015/buildingspresentations/buildings1/A.1_Building_energy_use.pdf.
    [2] International Energy Agency. Building energy use in China[EB/OL]. (2015)[2016-08-04]. https://www.iea.org/publications/freepublications/publication/PARTNERCOUNTRYSERIESBuildingEnergy_WEB_FINAL.pdf.
    [3] SAHEB Y,SAUSSAY A,JOHNSON C,et al. Modernising building energy codes[M]. New York:Inernational Enery Agency,2013.
    [4] GILL Z,TIEMEY M,PEGG I,et al. Low-energy dwellings:the contribution of behaviours to actual performance[J]. Building Research & Information,2010,38:491-508.
    [5] YU Z,FUNG C. A systematic procedure to study the influence of occupant behavior on building energy consumption[J]. Energy and Buildings,2011,6:1409-1417.
    [6] KAVOUSIAN A,RAJAGOPAL M. Determinants of residential electricity consumption:using smart meter data to examine the effect of climate,building characteristics,appliance stock,and occupants' behavior[J]. Energy,2013,55:184-194.
    [7] MEESTER T,MARIQUE A. Impacts of occupant behaviours on residential heating consumption for detached houses in a temperate climate in the northern part of Europe[J]. Energy,2013,57:313-323.
    [8] MA J,LIU L. Exploring the critical factors and appropriate polices for reducing energy consumption of China's urban civil building sector[J]. Journal of Cleaner Production,2015,103:446-454.
    [9] MARTINAITIS V,ZAVADSKAS E,MOTUZIENE V,et al. Importance of occupancy information when simulating energy demand of energy efficient house:a case study[J]. Energy and Buildings,2015,101:64-75.
    [10] DANIEL L,SOEBARTO V,WILLIAMSON T. House energy rating schemes and low energy dwellings:the impact of occupant behaviours in Australia[J]. Energy and Buildings,2015,88:34-44.
    [11] WANG X,CHEN D,REN Z. Assessment of climate change impact on residential building heating and cooling energy requirement in Australia[J]. Building and Environment,2010,45:1663-1682.
    [12] BERGER T,AMANN C. Impacts of urban location and climate change upon energy demand of office buildings in Vienna,Austria[J]. Building and Environment,2014,81:258-269.
    [13] HUANG J,GURNEY K. The variation of climate change impact on building energy consumption to building type and spatiotemporal scale[J]. Energy,2016,111:137-153.
    [14] ABREU J,PEREIRA F,FERRAO P. Using pattern recognition to identify habitual behavior in residential electricity consumption[J]. Energy and buildings,2012,49:479-487.
    [15] BLáZQUEZ L,BOOGEN N,FILIPPINI M. Residential electricity demand in Spain:new empirical evidence using aggregate data[J]. Energy Economics,2013,36:648-657.
    [16] GUAN L. Preparation of future weather data to study the impact of climate change on buildings[J]. Building and Environment,2009,44:793-800.
    [17] CHAN A. Developing future hourly weather files for studying the impact of climate change on building energy performance in Hong Kong[J]. Energy and Buildings,2011,43:2860-2868.
    [18] JONES R A,FUERTES A,LOMAS K J. The socio-economic,dwelling and appliance related factors affecting electricity consumption in domestic buildings[J]. Renewable and Sustainable Energy Reviews,2015,43:901-917.
    [19] ZHOU S,TENG F. Estimation of urban residential electricity demand in China using household survey data[J]. Energy Policy,2013,61:394-402.
    [20] YUN G,STEEMERS K. Behavioural,physical and socio-economic factors in household cooling energy consumption[J]. Applied Energy,2011,88:2191-2200.
    [21] PORSE E,DERENSKI J. Structural,geographic and social factors in urban building energy use:analysis of aggregated account-level consumption data in a megacity[J]. Energy Policy,2016,96:179-192.
    [22] YOHANIS Y,MONDOL J. Real-life energy use in the UK:how occupancy and dwelling characteristics affect domestic electricity use[J]. Energy and Buildings,2008,40:1053-1059.
    [23] FILLPPINI M,PACHAURI S. Elasticities of electricity demand in urban Indian households[J]. Energy Policy,2004,32:429-436.
    [24] HENSHAW V,GUY S. Embodied thermal environments:an examination of older-people's sensory experiences in a variety of residential types[J]. Energy Policy,2014,84:233-240.
    [25] KAZIMIERAS V. Importance of occupancy information when simulating[J]. Journal of Civil Engineering and Management,2013,19:883-893.
    [26] KWOK S,LEE E. A study of the importance of occupancy to building cooling load in prediction by intelligent approach[J]. Energy Conversion and Management,2011,52:2555-2564.
    [27] NIELSEN L. How to get the birds in the bush into your hand:results from a danish research project on electricity savings[J]. Energy Policy,1993,21:1133-1144.
    [28] CARLSON D,MATTHEWS H. Matthews,one size does not fit all:averaged data on household electricity is inadequate for residential energy policy and decisions[J]. Energy and Buildings,2013,64:132-144.
    [29] LEAHY E,LYONS S. Energy use and appliance ownership in Ireland[J]. Energy Policy,2010,38:4265-4279.
    [30] CARTER A,CRAIGWELL R,MOORE W,Price reform and household demand for electricity[J]. Journal of Policy Modeling,2012,34:242-252.
    [31] TSO G,YAU K. A study of domestic energy usage patterns in Hong Kong[J]. Energy,2003,28:1671-1682.
    [32] FABI V,ANDERSEN R,CORGNATI S. Occupants' window opening behaviour:a literature review of factors influencing occupant behaviour and models[J]. Building and Envioronemnt,2012,58:188-198
    [33] GARTLAND L,EMERY A. Residential energy usage and the influence of occupant behavior[J]. Publ by ASME,1993.
    [34] LTARD L,MEIJER F. Towards a sustainable Northern European housing stock[M]. IOS Press. 2003
    [35] KIM M,CHO M,KIM J. Energy use of households in apartment complexes with different service life[J]. Energy and Buildings,2013,66:591-598.
    [36] TERES J,CAMPOS A,GONZALEZ I,et al. Energy and economic assessment of the envelope retrofitting in residential buildings in Northern Spain[J]. Energy and Buildings,2015,86:194-202.
    [37] SANTIN O,LTARD L,VISSCHER H,The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock[J]. Energy and Buildings,2009,41:1223-1232.
    [38] BEDIR M,HASSELAAR E. Determinants of electricity consumption in Dutch dwellings[J]. Energy and Buildings,2013,58:194-207.
    [39] KYRO R,HEINONEN J. Occupants have little influence on the overall energy consumption in district heated apartment buildings[J]. Energy and Buildings,2011,43:3484-3490.
    [40] BLIGHT T,COLEY D. Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings[J]. Energy and Buildings,2013,66:183-192.
    [41] 孙岩,江凌. 居民能源消费行为研究评述[J]. 资源科学,2013,35(4):697-703.
    [42] 陈利顺,孙岩. 城市居民能源消费行为的评价方法研究[J]. 软科学,2008,22(12):29-33。
    [43] TINDALE A. Designbuilder and energyplus[J]. The Building Energy Simulation User News,2004,25:2-5.
    [44] BUILDER D. DesignBuilder user manual,version 1.2[M]. UK:Design Builder Software Limited,2006.
    [45] KAZIMIERAS V. Importance of occupancy information when simulating[J]. Journal of Civil Engineering and Management,2013,19:883-893.
    [46] PARK K,AHN J. Design of experiment considering two-way interactions and its application to injection molding processes with numerical analysis[J]. Journal of Materials Processing Technology,2004,146:221-227.
    [47] HONG T,DOCA S,TURNER W,et al. An ontology to represent energy-related occupant behavior in buildings Part I:introduction to the DNAs framework[J]. Building and Environment,2015.
    [48] HONG T,DOCA S,TAYLOR-LANGE S,et al. An ontology to represent energy-related occupant behavior in buildings Part Ⅱ:implementation of the DNAS framework using an XML schema[J]. Building and Environment,2015,94:196-205.
    [49] WILLAMSON T,O'SHEA S,MENADUE V. NatHERS:Science and non-science[J]. Proceedings of the 35th ANZAScA Conference. School of Architecture,Victoria University of Wellington,NZ:Australia and New Zealand Architectural Science Association (Published on CD),2001.
    [50] HENSHAW V,GUY S. Embodied thermal environments:an examination of older-people's sensory experiences in a variety of residential types[J]. Energy Policy,2014,84:233-240.
    [51] WHITEHOUSE M. Illawarra flame retrofit augmented reality 3D building information display[M]. Wollongong, University of Wollongong,2014.
    [52] CHUNG L,AHMAD M. Application of CFD in prediction of indoor building thermal performance as an effective pre-design tool towards sustainability[J]. World Applied Sciences Journal 30,2014:269-279.
    [53] NAZIF G,ALTAN H. Zero energy house design for Cyprus?:enhancing house energy effeciency with vernacular techniques[J]. 13th Conference of International Building Performance Simulation Association,2013.
    [54] DEURⅡNCK M,SAELENS D,ROELS S. Assessment of the physical part of the temperature takeback for residential retrofits[J]. Energy and Buildings,2012,52:112-121.
    [55] MEESTER T,MARIQUE A,REITER S. The influence of occupation modes on building heating loads:the case of a detached house located in a suburban area[J]. Architecture & Sustainable Development:27th International Conference on Passive and Low Energy Architecture,2011,1:451.
    [56] KHORASANI A,YAZDI M,SAFIZADEH M. Tool life prediction in face milling machining of 7075Al by using artificial neural networks(ANN)and Taguchi design of experiment(DOE)[J]. IACSIT International Journal of Engineering and Technology,2011,3:30-35.
    [57] KIM N,CHOI M,KIM S,et al. Design of experiment(DOE) method considering interaction effect of process parameters for optimization of copper chemical mechanical polishing(CMP)process[J]. Microelectronic Engineering,2006,83:506-512.
    [58] SADEGHIFAM A,ZAHRAEE S,MEYAGH M,et al. Combined use of design of experiment and dynamic building simulation in assessment of energy efficiency in tropical residential buildings[J]. Energy and Buildings,2015,86:525-533.
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  • 收稿日期:2016-05-31
  • 刊出日期:2017-01-10

居民能源消费行为对居民建筑能耗的影响——以悉尼典型居民家庭为例

doi:10.15918/j.jbitss1009-3370.2017.0102
    基金项目:

    国家自然科学基金资助项目(71103164);教育部人文社科基金资助项目(15YJC790091)

摘要:选取实际建筑,首次有效地将居民建筑能源消费模型和DOE(Design of Experiment)实验设计法相结合,从微观层面对不同居民家庭住宅能耗进行多次模拟,分析不同居民家庭的人均能耗差异及导致差异的关键能源消费行为。研究结果表明:不同能源消费行为会造成人均能耗的巨大差异,居住在同一建筑情况下,65岁独居退休夫妇的人均能耗是35~64岁之间并且有2名未成年人生活的工薪家庭的1.65倍,是25~34岁并且没有未成年人的工薪家庭的1.23倍。造成此差异的各个能源消费行为中,家庭成员数目对于居民人均能耗影响程度最大,其次分别为地理位置、居民年龄、空调最低温度设定及建筑空调覆盖面积。因此,合理引导并控制居民能源消费,政府需要在重点关注家庭能源消费区域差异性的同时,积极从居民家庭模式、居民年龄结构层面进行宏观引导,并且大力倡导居民在满足舒适度情况下合理控制住宅制冷温度及住宅空调覆盖面积。

English Abstract

童泉格, 孙涵, 成金华, 马贞俊. 居民能源消费行为对居民建筑能耗的影响——以悉尼典型居民家庭为例[J]. bob手机在线登陆学报(社会科学版), 2017, (1): 9-19. doi: 10.15918/j.jbitss1009-3370.2017.0102
引用本文: 童泉格, 孙涵, 成金华, 马贞俊. 居民能源消费行为对居民建筑能耗的影响——以悉尼典型居民家庭为例[J]. bob手机在线登陆学报(社会科学版), 2017, (1): 9-19.doi:10.15918/j.jbitss1009-3370.2017.0102
TONG Quange, SUN Han, CHENG Jinhua, MA Zhenjun. Investigation of Impacts of Energy-related Behaviors on Residential Building Energy Consumption Using Design of Experiment——Based on Typical Sydney Families[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2017, (1): 9-19. doi: 10.15918/j.jbitss1009-3370.2017.0102
Citation: TONG Quange, SUN Han, CHENG Jinhua, MA Zhenjun. Investigation of Impacts of Energy-related Behaviors on Residential Building Energy Consumption Using Design of Experiment——Based on Typical Sydney Families[J].Journal of Beijing Institute of Technology (Social Sciences Edition), 2017, (1): 9-19.doi:10.15918/j.jbitss1009-3370.2017.0102
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