Best Proxy: New Methodology for Selection of LCI Dataset to Achieve Regionalized LCA

Noa Meron

The Porter School of Environmental Studies, Tel-Aviv University, 69978 Tel-Aviv, Israel

Ms Noa Meron is reading for a PhD at the Porter School for Environmental Studies in Tel Aviv University. Her research focus is a new methodology for optimizing the effort and accuracy of an LCA by selecting an optimal proxy LCI dataset. She used water supply systems as a case study and carried out a detailed meta-analysis of available LCAs as a preparatory step. Noa holds an M.Sc. in Environmental Engineering and Sustainable Development (distinction) from Imperial College London, UK, and a B.Sc. in Electrical and Electronics Engineering from Tel-Aviv University.


The common practice of using generic or country-specific LCI datasets for LCAs for which site-specific LCI datasets are not available can result in inaccuracies and affect the relevance of the LCA results. On the other hand... [ view full abstract ]


  1. Noa Meron (The Porter School of Environmental Studies, Tel-Aviv University, 69978 Tel-Aviv, Israel)
  2. Vered Blass (The Coller School of Management, Tel Aviv University, Tel Aviv, 69978, Israel)
  3. Greg Thoma (Ralph E. Martin Department of Chemical Engineering, 1 University of Arkansas, Fayetteville, AR)

Topic Areas

• Life cycle sustainability assessment , • Open source data, big data, data mining and industrial ecology , • Advances in methods (e.g., life cycle assessment, social impact assessment, resilience a


MS-4 » LCA new developments 1 (10:00 - Monday, 26th June, Room G)

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