International Conference | Bari - Lecce , Italy Session IV
AN EXAMINATION OF THE RELATIONSHIP BETWEEN BUILDING INTELLIGENCE AND SUSTAINABILITY USING LEED AND BREEAM CERTIFIED CASE STUDIES IN THE UK AND EUROPE
Tulika Gadakari1 , Karim Hadjri2 & Sabah Mushatat3
1 Grenfell-Baines Institute of Architecture , School of Art , Design and Fashion , University of Central Lancashire , UK , tgadakari @ uclan . ac . uk
2 Grenfell-Baines Institute of Architecture , School of Art , Design and Fashion , University of Central Lancashire , UK , khadjri @ uclan . ac . uk
3 School of Energy , Geoscience , Infrastructure and Society , Heriot-Watt University , UK smushatat @ hotmail . com
Abstract
Green Building Rating Systems are certifying a number of buildings worldwide by awarding a ‘ Sustainability Score ’ that judges their sustainability value . It is evident that these buildings employ a wide range of intelligent building technologies to varying degrees . In order to find a relationship it was strategized that the intelligent building technologies used in these ‘ certified Green ’ buildings need to be analysed to assess their impact on the Sustainability Scores achieved . This paper hypothesizes that both building intelligence and sustainability are multi-dimensional entities measured using different parameters . The paper aims to determine the relationship between building intelligence and sustainability through case study analysis . Forty LEED ( 10 ) and BREEAM ( 30 ) certified buildings were chosen from the UK and Europe . The data collected from these buildings was subjected to quantitative and qualitative analysis ( case study research ) methods . Further to qualitative analysis : bi-variate correlation , regression analysis and 5 fold cross validation provided a best-fit logarithmic model that predicts the sustainability score of a building based on the number of intelligent building technologies used . Two over-arching themes emerged from the data : how the number and type of intelligent building technologies used affect the LEED / BREEAM score and how there needs to be an optimisation between the user ’ s needs , building ’ s functionality , core intelligence function of the technology used versus the prescriptive parameters imposed by rating systems such as LEED / BREEAM . A positive correlation was observed between the two variables noting that intelligent buildings do promote environmental sustainability . It was also found that buildings from the UK and Europe reported : 41 % reduction in energy consumption , 39 % reduction in water consumption and 36 % reduction in CO2 emissions . Additionally , the analysis revealed significant benefits on the economic and social front such as improved productivity , reduced absenteeism , and safer and convenient spaces .
Keywords
BREEAM , Intelligent buildings , LEED , Statistical Modelling , Sustainability .
319