From urban climate to energy consumption. Enhancing building performance simulation by including the urban heat island effect

Inostroza, 2013, Urban sprawl and fragmentation in Latin-America: a dynamic quantification and characterization of spatial patterns, J. Environ. Manage., 10.1016/j.jenvman.2012.11.007 Santamouris, 2014, On the energy impact of urban heat island and global warming on buildings, Energy Build., 82, 100, 10.1016/j.enbuild.2014.07.022 Liu, 2016, Micro-scale weather data for energy performance assessment in Singapore, 10.52842/conf.caadria.2016.229 Howard, 1988, The climate of London, Int. Assoc. Urban Clim., 285 Oke, 1973, City size and the urban heat island, Atmos. Environ., 7, 769, 10.1016/0004-6981(73)90140-6 Oke, 1982, The energetic basis of the urban heat island, Q. J. R. Meteorol. Soc., 108, 1 2011 Crawley, 2001, EnergyPlus: creating a new-generation building energy simulation program, Energy Build., 33, 319, 10.1016/S0378-7788(00)00114-6 Beckman, 1994, TRNSYS The most complete solar energy system modeling and simulation software, Renew. Energy, 5, 486, 10.1016/0960-1481(94)90420-0 Strachan, 2000, ESP-r summary of validation studies, Analysis Crawley, 1997, Does it matter which weather data you use in energy simulations?, Build. Energy Simul. User News, 18, 25 Bruse, 1998, Simulating surface–plant–air interactions inside urban environments with a three dimensional numerical model, Environ. Model. Softw., 13, 373, 10.1016/S1364-8152(98)00042-5 Salata, 2016, Urban microclimate and outdoor thermal comfort. A proper procedure to fit ENVI-met simulation outputs to experimental data, Sustain. Cities Soc., 26, 318, 10.1016/j.scs.2016.07.005 Bueno, 2013, The urban weather generator, J. Build. Perform. Simul., 6, 269, 10.1080/19401493.2012.718797 Nakano, 2015, Urban weather generator user interface development: towards a usable tool for integrating urban heat island effect within design process, IGARSS 2014, 1 Santamouris, 2016 Sterr, 2003, Climate change and coastal zones: an overview of the state-of-the-art on regional and local vulnerability assessment, Clim. Chang. Mediterr. Socio-Econ. Perspect. Impacts Vulnerability Adapt., 245 Sakakibara, 2005, Urban–rural temperature differences in coastal cities: influence of rural sites, Int. J. Climatol., 25, 811, 10.1002/joc.1180 Yuanfan, 2016, Evaluation of the correlation between remotely sensing-based and GIS-based anthropogenic heat discharge in Los Angeles County, USA Stewart, 2012, Local climate zones for urban temperature studies, Bull. Am. Meteorol. Soc., 93, 1879, 10.1175/BAMS-D-11-00019.1 Abdi, 2010, Principal component analysis, Wiley Interdisc. Rev.: Comput. Stat., 2, 433, 10.1002/wics.101 Abdi, 2003, 792 Palme, 2017, Urban weather generation and building models used for the inclusion of the urban heat island effect in building performance simulation, Data Brief J., 10.1016/j.dib.2017.08.035 TABULA Project web-tool. Available at: http://webtool.building-typology.eu/#bm (accessed 07.02.17). Chilean Government, 2013 Ecuadorian Government, 2017 Vasco, 2017, Thermal simulation of a social dwelling in Chile: effect of the thermal zone and the temperature-dependant thermophysical properties of light envelope materials, Appl. Therm. Eng., 112, 771, 10.1016/j.applthermaleng.2016.10.130 Palme, 2015, Energy labeling of residential buildings in Chile: comparing steady-state evaluations and dynamical simulation results, 10.26868/25222708.2015.2160 Nakano, 2015, Urban weather generator – a novel workflow for integrating urban heat island effect within urban design process, Build. Simul. Conf., 1901 Westphal, 2005, Building simulation calibration using sensitivity analysis Palme, 2010 Hopfe, 2011, Uncertainty analysis for building simulation for design support, Energy Build., 43, 2798, 10.1016/j.enbuild.2011.06.034 Hopfe, 2009 Chilean Government, 2008 Chilean Government, 2013 De Wilde, 2012, The implications of a changing climate for buildings, Build Environ., 5, 1, 10.1016/j.buildenv.2012.03.014 Inostroza, 2014, Measuring urban ecosystem functions through ‘Technomass’ – a novel indicator to assess urban metabolism, Ecol. Indic., 42, 10, 10.1016/j.ecolind.2014.02.035 Kim, 2002, Maximum urban heat island intensity in Seoul, J. Appl. Meteorol., 10.1175/1520-0450(2002)041<0651:MUHIII>2.0.CO;2 Liu, 2009, Urban–rural humidity and temperature differences in the Beijing area, Theor. Appl. Climatol., 96, 201, 10.1007/s00704-008-0024-6 Paolini, 2016, The hygrothermal performance of residential buildings at urban and rural sites: sensible and latent energy loads and indoor environmental conditions, Energy Build. Fanger, 1970 Meggers, 2016, Urban cooling primary energy reduction potential: system losses caused by microclimates, Sustain. City Soc., 27, 315, 10.1016/j.scs.2016.08.007 Battista, 2016, Thermal impact of a redeveloped area on localized urban microclimate: a case study in Rome, Energy Build., 133, 446, 10.1016/j.enbuild.2016.10.004 Hwang, 2017, Spatial and temporal analysis of urban heat island and global warming on residential thermal comfort and cooling energy in Taiwan, Energy Build., 10.1016/j.enbuild.2016.11.016 Palme, 2016, Quantitative analysis of factors contributing to Urban Heat Island Effect in Latin-American cities, Energy Proc. IPCC, 2014, 167 Crawley, 2007, Creating weather files for climate change and urbanization impacts analysis, Int. Build. Simul. Conf., 1075 Crawley, 2008, Estimating the impacts of climate change and urbanization on building performance, J. Build. Perform. Simul., 1, 91, 10.1080/19401490802182079 Guan, 2009, Preparation of future weather data to study the impact of climate change on buildings, Build. Environ., 44, 793, 10.1016/j.buildenv.2008.05.021 Guan, 2011, Sensitivity of building cooling loads to future weather predictions, Archit. Sci. Rev., 54, 178, 10.1080/00038628.2011.590057 Jentsch, 2008, Climate change future proofing of buildings – generation and assessment of building simulation weather files, Energy Build., 40, 2148, 10.1016/j.enbuild.2008.06.005 Jentsch, 2013, Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates, Renew. Energy, 55, 514, 10.1016/j.renene.2012.12.049 McCarthy, 2010, Climate change in cities due to global warming and urban effects, Geophys. Res. Lett., 37, 10.1029/2010GL042845 Brázdil, 1999, An urban bias in air temperature fluctuations at the Klementinum, Prague, The Czech Republic, Atmos. Environ., 33, 24, 10.1016/S1352-2310(99)00163-6 Inostroza, 2016, A heat vulnerability index: spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de Chile, PLOS ONE, 1 Pyrgou, 2017, On the effect of summer heat waves and urban overheating on building thermal-energy performance in central Italy, Sustain. Cities Soc., 28, 187, 10.1016/j.scs.2016.09.012 Inostroza, 2016, Informal urban development in Latin American urban peripheries. Spatial assessment in Bogotá, Lima and Santiago de Chile, Landsc. Urban Plann. Inostroza, 2016, Measuring urban informality in Latin America. GIS spatial assessment of informal urban development in Santiago de Chile, Proc. Eng., 161, 1631, 10.1016/j.proeng.2016.08.638 Inostroza, 2016, Informal urban development in the Greater Buenos Aires Area: a quantitative-spatial assessment based on households’ physical features using GIS and principal component analysis, Proc. Eng., 161, 2138, 10.1016/j.proeng.2016.08.806 Rizwan, 2008, A review on the generation, determination and mitigation of Urban Heat Island, J. Environ. Sci., 20, 120, 10.1016/S1001-0742(08)60019-4 Smith, 2008, Designing urban spaces and buildings to improve sustainability and quality of life in a warmer world, Energy Policy, 36, 4558, 10.1016/j.enpol.2008.09.011