Optimising embodied carbon and U-value in load bearing walls: A mathematical bi-objective mixed integer programming approach

Abstract The construction and building industry is known to be a carbon intensive sector. Of the various opportunities present for minimising the carbon footprint of buildings, optimising the material selection of building components is one plausible avenue for significant carbon reductions. In the construction of opaque load-bearing walls, the thermal performance of the construction build up is the parameter that has the greatest influence over building operational carbon emissions, with thicker profile walls leading to lower U-values and hence lower operational carbon from heating and cooling. Conversely, the extra wall material contributes to increased embodied carbon. The aim of this study is to capture such trade-off between embodied carbon and U-value by presenting a practical optimisation model to design load bearing walls in commercial and residential buildings. In particular, two objective functions are incorporated within the proposed model for the structural design and material selection of the wall layers; the first objective minimises the embodied carbon of the wall while the other minimises the U-value of the wall. The variables forming the optimisation model include the thickness of each wall layer, and the choice of material forming each layer. The proposed model is tested on a practical case example applicable in Australia and the UK, involving a load bearing wall. Results are reported in the form of a Pareto efficient frontier. Utilising the model enables the realisation of the impacts of material selection and wall layering on embodied carbon and U-value of the building structure.

[1]  David Thorpe,et al.  Sustainable Home Refurbishment: The Earthscan Expert Guide to Retrofitting Homes for Efficiency , 2010 .

[2]  P. Bosch,et al.  Climate change 2007 - mitigation of climate change , 2007 .

[3]  G. Treloar,et al.  Life-cycle energy analysis of buildings: a case study , 2000 .

[4]  John S. Monahan,et al.  An embodied carbon and energy analysis of modern methods of construction in housing: A case study us , 2011 .

[5]  Ali Akbarnezhad,et al.  Estimation and Minimization of Embodied Carbon of Buildings: A Review , 2017 .

[6]  Matthias Ehrgott,et al.  Multicriteria Optimization , 2005 .

[7]  Christopher R. Iddon,et al.  Embodied and operational energy for new-build housing: A case study of construction methods in the UK , 2013 .

[8]  Jan Carmeliet,et al.  Brick Cavity Walls: A Performance Analysis Based on Measurements and Simulations , 2007 .

[9]  David Rey,et al.  Sustainable urban facility location: Minimising noise pollution and network congestion , 2017 .

[10]  David Rey,et al.  A multi-objective mixed integer nonlinear programming model for construction site layout planning to minimise noise pollution and transport costs , 2016 .

[11]  Agis M. Papadopoulos,et al.  Forty years of regulations on the thermal performance of the building envelope in Europe: Achievements, perspectives and challenges , 2016 .

[12]  Jing Li,et al.  Achieving Sustainable Building Maintenance through Optimizing Life-Cycle Carbon, Cost, and Labor: Case in Hong Kong , 2014 .

[13]  Robert Mayer,et al.  Finite element thermal modeling and correlation of various building wall assembly systems , 2014 .

[14]  Oliver Kinnane,et al.  A new transient method for determining thermal properties of wall sections , 2017 .

[15]  Keith Baker,et al.  Carbon Management in the Built Environment , 2012 .

[16]  Frank Ching,et al.  Building Construction Illustrated , 1975 .

[17]  Göktürk Üçoluk,et al.  Multiobjective Design Optimization of Building Space Layout, Energy, and Daylighting Performance , 2017, J. Comput. Civ. Eng..

[18]  Elizabeth Kossecka,et al.  Multi-dimensional heat transfer through complex building envelope assemblies in hourly energy simulation programs , 2002 .

[19]  R. Dodge Woodson Build your dream home for less , 1995 .

[20]  Dejan Mumovic,et al.  Evaluation of life cycle carbon impacts for higher education building redevelopment: a multiple case study approach , 2017 .

[21]  Andreas Uihlein,et al.  Options to reduce the environmental impacts of residential buildings in the European Union—Potential and costs , 2010 .

[22]  Weimin Wang,et al.  Applying multi-objective genetic algorithms in green building design optimization , 2005 .

[23]  Mohammad S. Al-Homoud,et al.  Performance characteristics and practical applications of common building thermal insulation materials , 2005 .

[24]  Adolf Acquaye,et al.  Operational vs. embodied emissions in buildings—A review of current trends , 2013 .

[25]  Paolo Foraboschi,et al.  Sustainable structural design of tall buildings based on embodied energy , 2014 .

[26]  HájekPetr,et al.  Design strategies for buildings with low embodied energy , 2017 .

[27]  Sarel Lavy,et al.  Identification of parameters for embodied energy measurement: A literature review , 2010 .

[28]  Víctor Yepes,et al.  Cost and CO2 emission optimization of precast–prestressed concrete U-beam road bridges by a hybrid glowworm swarm algorithm , 2015 .

[29]  Phil Purnell,et al.  Material nature versus structural nurture: the embodied carbon of fundamental structural elements. , 2012, Environmental science & technology.

[30]  Fausto Freire,et al.  Life-cycle assessment of a house with alternative exterior walls: Comparison of three impact assessment methods , 2012 .

[31]  Sarel Lavy,et al.  Need for an embodied energy measurement protocol for buildings: A review paper , 2012 .

[32]  Michael D. Lepech,et al.  Application of life-cycle assessment to early stage building design for reduced embodied environmental impacts , 2013 .

[33]  Elvira Ianniello,et al.  U-value in situ measurement for energy diagnosis of existing buildings , 2015 .

[34]  George Mavrotas,et al.  Effective implementation of the epsilon-constraint method in Multi-Objective Mathematical Programming problems , 2009, Appl. Math. Comput..

[35]  Antonio Hospitaler,et al.  CO2-optimization of reinforced concrete frames by simulated annealing , 2009 .

[36]  Roberto Ricciu,et al.  Comparing different approaches to in situ measurement of building components thermal resistance , 2011 .

[37]  Yousef Mohammadi,et al.  Multi-objective optimization of building envelope design for life cycle environmental performance , 2016 .

[38]  Francesco Pomponi,et al.  Scrutinising embodied carbon in buildings: The next performance gap made manifest , 2018 .

[39]  Edward S. Hoffman,et al.  Structural Design Guide to the ACI Building Code , 1998 .

[40]  Weiwei Wu,et al.  Optimization method for building envelope design to minimize carbon emissions of building operational energy consumption using orthogonal experimental design (OED) , 2013 .

[41]  Brian Norton,et al.  Life-cycle operational and embodied energy for a generic single-storey office building in the UK , 2002 .

[42]  Catarina Thormark,et al.  A low energy building in a life cycle - its embodied energy, energy need for operation and recycling potential , 2002 .

[43]  Fausto Freire,et al.  Life-cycle energy and greenhouse gas analysis of three building types in a residential area in Lisbon , 2014 .