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SUMMARY:Energy consumption from dwellings : do we understand it? - Speaker
  to be confirmed
DTSTART:20101111T120000Z
DTEND:20101111T140000Z
UID:TALK27211@talks.cam.ac.uk
CONTACT:18154
DESCRIPTION:*Abstract*\n\nThe importance of the residential sector in the 
 struggle against climate change is obvious. In the UK\, over 30% of total 
 energy is consumed by the residential sector with resulting CO2 emissions 
 contributing to approximately 45% of total emissions. Given the scale of e
 nergy consumption and emissions from the residential sector the need for t
 horough\, effective and robust analysis is obvious. Yet\, there is still v
 ery little understanding as to how energy is finally consumed in UK dwelli
 ngs. This seminar will hear from three speakers who will each present uniq
 ue insight into residential energy consumption from UK dwellings. Scott Ke
 lly will present new research that uses a structural equation model to ide
 ntify what factors explain household energy consumption. Ian Hamilton will
  discuss the importance of accurate large datasets and how these can be us
 ed effectively to measure the efficacy of government policy on household e
 nergy efficiency. Finally\, Jason Palmer will talk about what hope the UK 
 may have at reaching the government's ambitious 80% CO2 reduction from hou
 sing by 2050. \n\n*Speakers*\n* Dr Jason Palmer Director\, Cambridge Archi
 tectural Research Limited\n* Ian Hamilton\, Research Associate\, UCL Energ
 y Institute\n* Scott Kelly PhD student\, Department of Land Economy\, Univ
 ersity of Cambridge\n\n*Speakers' Abstracts*\n\n*Dr Jason Palmer: "Cutting
  Carbon Emissions from UK Homes: Are we on track?"*\n\nThe new government 
 has high aspirations for reducing climate change emissions. Policies and t
 argets are aligned with scientific opinion about the scale of change we ne
 ed. However\, the government only applied scientific thinking to what savi
 ngs are possible (from housing at least) after the targets were set. What 
 hope is there of meeting the 80% reduction target from housing by 2050? \n
 \n*Ian Hamilton: "Energy & Buildings: The impct of the UK's energy efficie
 ncy interventions on households"*\n\nIan Hamilton\, a Research Associate w
 ith the UCL Energy Institute\, will talk about the UK's Energy & Building 
 Data Framework project\, which has drawn together physical data on around 
 11 million dwellings in the UK and have been linked individually to data o
 n their actual gas and electricity consumption.  The talk will focus on fi
 ndings and analysis on the impact of energy efficiency interventions in th
 e UK household stock and the influence of behavioural tendencies through s
 ocio-economic factors.  He will also briefly discuss the opportunities of 
 such a dataset for improving the precision and reliability with which low 
 carbon strategies are framed\, guided and evaluated. \n\n*Scott Kelly: "Do
  more energy efficient buildings consume less energy?"*\n\nWith the growin
 g threat of climate change and the rising costs of energy\, the ability to
  accurately predict energy consumption and carbon emissions from the resid
 ential sector is now imperative. Using structural equation modelling (SEM)
  it is possible to identify the underlying causal relationships between va
 riables that explain residential energy consumption. Using the 1996 Englis
 h House Condition Survey consisting of 2531 unique cases it is found that 
 there are several variables that confound energy consumption. The variable
 s that most significantly explain energy consumption include household occ
 upancy rates\, household income\, winter weekly heating patterns\, living 
 room temperature\, floor area and dwelling efficiency ratings (SAP). In th
 is model the direct effects\, indirect effects and total effects for each 
 variable are shown. More importantly it is shown that dwelling energy effi
 ciency\, measured by SAP\, has reciprocal causality with energy consumptio
 n and the magnitude of these two independent effects can be calculated usi
 ng SEM.
LOCATION:CRASSH Seminar Room 17 Mill Lane
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