Literature DB >> 33983016

How Far Can Life Cycle Assessment Be Simplified? A Protocol to Generate Simple and Accurate Models for the Assessment of Energy Systems and Its Application to Heat Production from Enhanced Geothermal Systems.

Mélanie Douziech1, Guillaume Ravier2, Raphaël Jolivet1, Paula Pérez-López1, Isabelle Blanc1.   

Abstract

Life cycle assessments (LCAs) quantify environmental impacts of systems and support decision-making processes. LCAs are however time-consuming and difficult to conduct for nonexperts, thus calling for simplified approaches for multicriteria environmental assessments. In this paper, a five-step protocol is presented to generate simplified arithmetic equations from a reference parametrized LCA model of an energy system and its application illustrated for an enhanced geothermal system for heat generation with very low direct emissions in continental Europe. The simplified models estimate seven environmental impacts (climate change, freshwater ecotoxicity, human health, minerals and metals, and fossil resources depletion, and acidification) based on six technological parameters: number of injection and production wells, power of the production and injection pump, average well length, thermal power output, and eight background parameters defining the European electricity mix. A global sensitivity analysis identified these parameters as influencing the variance of the environmental impacts the most. Ensuring the representativeness of the reference LCA model and the validity of the simplified models requires thorough assessment. This protocol allows to develop relevant alternatives to detailed LCAs for quick and multicriteria environmental impact assessments of energy systems, showing that LCAs can be simplified to system-specific equations based on few, easily quantified, parameters.

Entities:  

Keywords:  environmental impact; geothermal heat; geothermal plant; global sensitivity analysis; multicriteria; parameterized LCA; simplified models

Year:  2021        PMID: 33983016     DOI: 10.1021/acs.est.0c06751

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Global Sensitivity Analysis of Background Life Cycle Inventories.

Authors:  Aleksandra Kim; Christopher L Mutel; Andreas Froemelt; Stefanie Hellweg
Journal:  Environ Sci Technol       Date:  2022-04-12       Impact factor: 9.028

2.  Industry 4.0 real-world testing of dynamic organizational life cycle assessment (O-LCA) of a ceramic tile manufacturer.

Authors:  Marco Cucchi; Lucrezia Volpi; Anna Maria Ferrari; Fernando E García-Muiña; Davide Settembre-Blundo
Journal:  Environ Sci Pollut Res Int       Date:  2022-05-13       Impact factor: 5.190

  2 in total

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