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Data management in life cycle assessment: a case study of wastewater treatment

Veröffentlichungsart

Zeitschriften-/Journalbeitrag (peer-reviewed)

Medien

Zeitschrift: Water Science & Technology

Veröffentlichungsdatum

2023-06-30

Band

2023

Heft

9

Herausgeber

IWA Publishing

DOI

https://doi.org/10.2166/wst.2023.200

Zitierung

Straub, Julia; Hofmann, Josef; Hehenberger-Risse, Diana (2023): Data management in life cycle assessment: a case study of wastewater treatment. Zeitschrift: Water Science & Technology 2023, 88 (9). DOI: 10.2166/wst.2023.200

Peer Reviewed

Ja

Autoren

Julia Straub
Prof. Dr. rer. Nat. Josef Hofmann
Prof. Dr. rer. Nat. Diana Hehenberger-Risse

Energie

Data management in life cycle assessment: a case study of wastewater treatment

Abstract

To assess the environmental impact of wastewater treatment, life cycle assessment (LCA) is a frequently applied instrument. However, these studies often require large amounts of data. The complexity and heterogeneity of these data result in the need for a systematic data management approach. Especially the generation of the life cycle inventory (LCI) holds the potential to be facilitated by automation. A case study in the wastewater sector was used to demonstrate the implementation of data management. A database structure was developed to store the raw data of the wastewater plants (WWTPs) and make it accessible through code. The code interacted with the database, implemented calculations, and automatically created the inventory based on the processed data. The database provides a consistent structure for the raw data and can also be used for backup purposes. Because it is machine-readable it can be accessed through the code that enables the automated generation of the LCI. As a proof of concept, a sequence of the code is provided with a user interface and can be tested online. We found that for most use cases, basic programming tools were sufficient for systematic data management, and, therefore, the approach is considered accessible for LCA practitioners. HIGHLIGHTS Automated generation of life cycle inventory is implemented.; Database allows consistent structuring of raw data.; Demonstration tools with user interface and source code are available online.

www.researchgate.net/publication/371919671_Data_management_in_life_cycle_assessment_a_case_study_of_wastewater_treatment