The unintended consequences of decarbonising the built environment: A UK case study

The case for taking action to tackle climate change is now persuasive. It is developed countries that must reduce GHG emissions most and this paper focuses on one such country – the UK. We address issues associated with the decarbonisation of the built environment and the housing stock in particular. We demonstrate the potential for significant unintended consequences and discuss the complexity involved in attempting to understand such processes. We argue the urgent need for the formation of multi- and inter-disciplinary teams with the diverse range of skill sets required to think together and to address these issues. Such teams must involve (at least) Building Physicists, Engineers, Economists, Epidemiologists, Statisticians, Behavioural Scientists, Complexity Scientists and Policy Makers. Without a coordinated and concerted programme of relevant research it is difficult to imagine how the necessary policy will be formulated and implemented effectively without the potential for enormous and irreversible mistakes.

[1]  N. Nakicenovic,et al.  Climate change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[2]  S. Svendsen,et al.  Residential and commercial buildings , 2012 .

[3]  L. Shorrock,et al.  Domestic energy fact file 2003 , 2003 .

[4]  W. Nazaroff.  What we don't know. , 2010, Indoor air.

[5]  B. Armstrong,et al.  Public health benefits of strategies to reduce greenhouse-gas emissions: household energy , 2009, The Lancet.

[6]  M. Maslin,et al.  The Lancet Commissions Institute for Global Health Managing the Health Eff Ects of Climate Change the Lancet Commissions the Lancet Commissions , 2022 .

[7]  David E. Jacobs,et al.  Environmental burden of disease associated with inadequate housing. Methods for quantifying health impacts of selected housing risks in the WHO European Region , 2011 .

[8]  Jeffrey Johnson.  The "can you trust it?" Problem of simulation science in the design of socio-technical systems , 2000, Complex..

[9]  Zaid Chalabi,et al.  The health impacts of an energy efficient building stock , 2009 .

[10]  John L. Casti.  Can you trust it?: on the reliability of computer simulation and the validity of models , 1997 .

[11]  A. Mavrogianni,et al.  LONDON HOUSING AND CLIMATE CHANGE: Impact on Comfort and Health - Preliminary Results of a Summer Overheating Study , 2010 .

[12]  B. Armstrong,et al.  Public health benefits of strategies to reduce greenhouse-gas emissions: overview and implications for policy makers , 2009, The Lancet.

[13]  John D. Sterman,et al.  All models are wrong: reflections on becoming a systems scientist† , 2002 .

[14]  T. Wilbanks,et al.  Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .