Balancing data requirement and modelling quality in neighbourhood life cycle assessments
| Autor: | O. Zara, G. D. Guimarães, M. Zibetti, K. Pompermayer, Vanessa Gomes, I. Leite |
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| Přispěvatelé: | Zara, O, Guimarães, G, Zibetti, M, Pompermayer, K, Leite, I, Gomes, V, World Sustainable Built Environment - Beyond 2020, WSBE 2020 Gothenburg, Sweden 2-4 November 2020 |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
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| Popis: | Introduction: When modelling complex systems such as cities, a quality-complexity compromise is to subdivide them into smaller cells. Life Cycle Assessment can help to comprehensively handle urban intricacies but is a data-intensive technique. Balancing data requirement and collection feasibility while acknowledging uncertainty become key. Methods: This research explored top-down and bottom-up approaches to generate information input for environmental modelling at neighbourhood scale and to identify strategies to improve modelling while balancing data collection needs. SimaPro v.9 supported the assessments. Results: Influence of elements like interior finishings and wall partitions is not captured by the top-down approach, but should not be neglected, for their impacts are substantial. Modelling can be improved by application of cut-off rules to limit data requirements and cluster sampling techniques to derive a minimum range of archetypes to adequately describe the studied area. Finally, an evolutive hybrid approach is suggested to gradually improve both background archetypes and foreground bottom-up objects. |
| Databáze: | OpenAIRE |
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