Outputs (5)

Machine Learning for Sustainable Structures: A Call for Data (2018)
Journal Article
D'Amico, B., Myers, R., Sykes, J., Voss, E., Cousins-Jenvey, B., Fawcett, W., Richardson, S., Kermani, A., & Pomponi, F. (2019). Machine Learning for Sustainable Structures: A Call for Data. Structures, 19, 1-4. https://doi.org/10.1016/j.istruc.2018.11.013

Buildings are the world's largest contributors to energy demand, greenhouse gases (GHG) emissions, resource consumption and waste generation. An unmissable opportunity exists to tackle climate change, global warming, and resource scarcity by rethinki... Read More about Machine Learning for Sustainable Structures: A Call for Data.

Why method matters: temporal, spatial and physical variations in LCA and their impact on choice of structural system (2018)
Journal Article
Moncaster, A., Pomponi, F., Symons, K., & Guthrie, P. (2018). Why method matters: temporal, spatial and physical variations in LCA and their impact on choice of structural system. Energy and Buildings, https://doi.org/10.1016/j.enbuild.2018.05.039

Life Cycle Assessment (LCA) is increasingly used as an early-stage design-decision tool to support choices of structural system. However LCA modellers must first make numerous methodological decisions, and the resultant wide variations in approach ar... Read More about Why method matters: temporal, spatial and physical variations in LCA and their impact on choice of structural system.

Building as we did in the past is not sustainable and needs to change (2018)
Newspaper / Magazine
Pomponi, F. (2018). Building as we did in the past is not sustainable and needs to change. Edinburgh

No abstract available.

Accuracy and reliability: a computational tool to minimise steel mass and carbon emissions at early-stage structural design (2018)
Journal Article
D’Amico, B., & Pomponi, F. (2018). Accuracy and reliability: a computational tool to minimise steel mass and carbon emissions at early-stage structural design. Energy and Buildings, 168, 236-250. https://doi.org/10.1016/j.enbuild.2018.03.031

Building structures often represent the element with the largest mass in a building project, with significant effects on the buildings life cycle environmental impacts. Amongst structural materials, steel is characterised by its suitability to a larg... Read More about Accuracy and reliability: a computational tool to minimise steel mass and carbon emissions at early-stage structural design.

Furthering embodied carbon assessment in practice: results of an industry-academia collaborative research project (2018)
Journal Article
Pomponi, F., Moncaster, A., & De Wolf, C. (2018). Furthering embodied carbon assessment in practice: results of an industry-academia collaborative research project. Energy and Buildings, 167, 177-186. https://doi.org/10.1016/j.enbuild.2018.02.052

In order to meet the mid-century carbon reduction targets and to mitigate climate change and global warming it is imperative that embodied greenhouse gases (GHGs) emissions in the built environment receive immediate attention from policy, industry an... Read More about Furthering embodied carbon assessment in practice: results of an industry-academia collaborative research project.