Heating and cooling degree day prediction within the London urban heat island area

This paper describes the London Site Specific Air Temperature prediction model, which comprises of a suite of artificial neural network (ANN) models to predict site-specific hourly air temperature within the Greater London Area (GLA). The model was developed using a back-propagation ANN model based on hourly air temperature measurements at 77 fixed temperature stations (FTS) and hourly meteorological data (off-site variables) from Heathrow; it also includes six on-site variables calculated for each FTS. The temporal and spatial validity of the model was tested using data measured 7 years later from the original dataset, which include new FTS locations. It was found that site-specific hourly air temperature prediction is within accepted range and improves considerably for average daily and monthly values. Therefore, the model can be used with confidence to predict daily and seasonal variations of air temperature within the GLA and in particular for the calculation of monthly and annual heating degree days (HDD) and cooling degree hours (CDH). It was found that as expected HDD increase and CDH decrease with distance from the urban heat island centre point; however, all variations cannot be explained with distance and six key on-site variables namely aspect ratio, surface albedo, plan density ratio, green density ratio, fabric density ratio and thermal mass have been identified to explain the remaining variation. Practical applications: Research studies have confirmed the extent of Urban Heat Island (UHI) within many cities in Europe. Studies have also confirmed the impact of the UHI on energy demand by buildings. There is therefore need to consider this in the design of building by using site-specific external temperatures in the energy calculations for urban buildings. This paper describes the development of a model, which can generate site-specific air temperature in a large number of locations in London. The model's predictions can be used for the calculation of HDD and CDH for any base temperature across London using any Heathrow weather file for a specific year, design years or future climate years; such values can be used for the calculation of site specific building heating and cooling loads.

[1]  Maria Kolokotroni,et al.  The London Heat Island and building cooling design , 2007 .

[2]  B. Givoni,et al.  Urban design factors influencing heat island intensity in high-rise high-density environments of Hong Kong , 2007 .

[3]  M. Kolokotroni,et al.  The London Heat Island: results from summertime monitoring , 2002 .

[4]  M. Santamouris,et al.  Heat Island Research in Europe: The State of the Art , 2007 .

[5]  T. Williamson,et al.  An improvement of the CTTC model for predicting urban air temperatures , 1997 .

[6]  T. Williamson,et al.  The Implications for Building Ventilation of the Spatial and Temporal Variability of Air Temperature in the Urban Canopy Layer , 2008 .

[7]  T. Oke,et al.  DYNAMICS AND CONTROLS OF THE NEAR-SURFACE HEAT ISLAND OF VANCOUVER, BRITISH COLUMBIA , 2000 .

[8]  H. Landsberg Urban Climate , 2011, Urban Ecology for Citizens and Planners.

[9]  Jong-Jin Baik,et al.  Maximum Urban Heat Island Intensity in Seoul , 2002 .

[10]  D. N. Asimakopoulos,et al.  A neural network approach for modeling the Heat Island phenomenon in urban areas during the summer period , 1999 .

[11]  Haider Taha,et al.  Meteorological and air quality impacts of heat island mitigation measures in three U.S. cities , 2000 .

[12]  Aris Tsangrassoulis,et al.  Simulation of the Urban Heat Island Phenomenon in Mediterranean Climates , 2004 .

[13]  Milo E. Hoffman,et al.  Prediction of urban air temperature variations using the analytical CTTC model , 1990 .

[14]  Haider Taha,et al.  Modifying a Mesoscale Meteorological Model to Better Incorporate Urban Heat Storage: A bulk-parameterization approach , 1999 .

[15]  M. Parry,et al.  The climate of London , 1966 .

[16]  Maria Kolokotroni,et al.  Urban heat island intensity in London: An investigation of the impact of physical characteristics on changes in outdoor air temperature during summer , 2008 .

[17]  N. Klitsikas,et al.  The effect of the Athens heat island on air conditioning load , 2000 .

[18]  Maria Kolokotroni,et al.  Increased Temperature and Intensification of the Urban Heat Island: Implications for Human Comfort and Urban Design , 2007 .

[19]  Maria Kolokotroni,et al.  THE EFFECT OF THE LONDON URBAN HEAT ISLAND ON BUILDING SUMMER COOLING DEMAND AND NIGHT VENTILATION STRATEGIES , 2006 .

[20]  Helena A. Flocas,et al.  Application of Neural Networks to the Simulation of the Heat Island over Athens, Greece, Using Synoptic Types as a Predictor , 2002 .

[21]  M. E. Hoffman,et al.  Climatic impacts of urban design features for high- and mid-latitude cities , 1990 .

[22]  Servando Álvarez Domínguez,et al.  Modelling microclimate in urban environments and assessing its influence on the performance of surrounding buildings , 2004 .

[23]  Aya Hagishima,et al.  An approach for coupled simulation of building thermal effects and urban climatology , 2004 .

[24]  H. Manz,et al.  Climatic potential for passive cooling of buildings by night-time ventilation in Europe , 2007 .

[25]  L. Shashua-Bar,et al.  Geometry and orientation aspects in passive cooling of canyon streets with trees , 2003 .

[26]  Kazuya Takahashi,et al.  Measurement of thermal environment in Kyoto city and its prediction by CFD simulation , 2004 .

[27]  M. Santamouris,et al.  Experimental validation of a computational fluid dynamics code to predict the wind speed in street canyons for passive cooling purposes , 2006 .

[28]  Aris Tsangrassoulis,et al.  Modifications in energy demand in urban areas as a result of climate changes: an assessment for the southeast Mediterranean region , 2001 .

[29]  P. Monti,et al.  Numerical modelling of flow and dispersion in Rome area , 2004 .

[30]  Richard Watkins,et al.  The impact of the urban environment on the energy used for cooling buildings , 2002 .

[31]  M. Santamouris,et al.  On the impact of urban climate on the energy consumption of buildings , 2001 .

[32]  Maria Kolokotroni,et al.  The balance of the annual heating and cooling demand within the London urban heat island , 2002 .

[33]  T. Williamson,et al.  Simulating air temperature in an urban street canyon in all weather conditions using measured data at a reference meteorological station , 2006 .