Moving beyond averages with unrestricted inventory and reduced scope in the construction sector
Abstract
The Construction Environmental Performance Information System is a framework considering uncertainty since the inventory phase. The objective of the system is improving the environmental performance of the construction supply chain. Therefore, the system combines generic life cycle inventory data and data collected from producers along the supply chain, which captures the variability among manufacturers producing the same product. This environmental performance benchmark may be used to support procurement decisions rewarding producers with superior environmental performance. The system adopts a simplified scope so that firms get involved in original data collection. We have started a short-term pilot project with a limited scope (energy and carbon dioxide flows), which facilitates the acquisition of data from the Brazilian industry and notices its technological variability. In addition, it allows composing representative samples for environmental performance benchmarks. Moreover, such issues of chief societal concern are highly affected by the construction supply chain which enhances the role of the construction sector in improving its environmental performance. Finally, energy and CO2 flows are easily accounted by the companies rendering comparable and meaningful results. We expect that firms from the construction sector will engage in this effort and take advantage of the results to undertake solutions with greater efficiency. Our preliminary list of products includes sand, aggregates, cement, quicklime, mortar, concrete, concrete blocks, ceramic roof tiles, ceramic blocks, steel rebar, and wood. The approach has been tested before in a project commissioned by the Brazilian concrete block association. Results of such innitiative represent the variability within blocks with distinct strengthen classes. Uncertainties in the system will be represented by means of a statistical analysis providing a complete coverage of all interactions of parameters and considering multiple routes for specific unit processes represented in the system.
Author(s)
| Name |
Affiliation |
|
Sergio Pacca
|
Universidade de Sao Paulo |
|
Fernanda Belizario da Silva |
Universidade de Sao Paulo |
|
Lidiane Santana Oliveira |
Universidade de Sao Paulo |
|
Daniel Costa Reis |
Universidade de Sao Paulo |
|
Katia Punhagui |
UNILA |
|
Vanderley M. John |
Universidade de Sao Paulo |
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