A tool for temporal impact calculation of greenhouse gas emissions on global climate change.

Release date v0  15/12/2016
Release date v1   17/06/2021
Release date v2    22/07/2024

CCI-tool can be used with Life Cycle Assessment (LCA) method or independently, to evaluate the climate footprint of a system. CCI-tool calculates climate change indicators in function of time: radiative forcing, cumulative radiative forcing, global mean temperature change, cumulative global mean temperature change. Other impact indicators could be integrated.
The tool is available in two options :

• Online utilization with your data
• Download and installation of CCI-tool on your computer

The only necessary input data are the GHG emissions distributed in time: a template “template.csv” file is available, to be completed with your data.

• Upload the template for your utilization: «template»
• Example of a completed file: «example»

CCI-tool is also compatible with LCI (Life Cycle Inventory) result files from DypLCA tool (temporarily unavailable). DypLCA tool is a software for temporal LCI calculation for dynamic LCA.

CCI-tool online 

Download and installation:

You can also download the tool and use on your computer.

• CCI-Tool instructions: How to use CCI-tool
• Download CCI-tool v2.0

Requirement:

• Python 3.9 and a Python editor
• Download the CCI-tool v1.0
• Optionally: Go to the folder « install_libraries », and run the python script « install_libraries » to download the libraries
• Follow the instructions in the user’s manual

Brief model description and example of application:

• Model and application

Contact us:

Ligia BARNA:
INSA Toulouse, TBI

Email: lbarna@insa-toulouse.fr
+33 (0) 5 61 55 97 88

Sources:

Tiruta-Barna, L., A climate-goals-based, multicriteria approach for system evaluation in Life Cycle Assessment, Int JLCA, (2021)
Pigné, Y., Navarrete Gutiérrez T., Gibon T., Schaubroeck T., Popovici E., Shimako A.H., Benetto E., Tiruta-Barna L., 2019, A tool to operationalize dynamic LCA, including time-differentiation on the complete background database, Int JLCA, 25 (2019) 267-279, https://doi.org/10.1007/s11367-019-01696-6
Negishi, K., Lebert, A., Almeida D., Chevalier J., Tiruta-Barna, L., 2019, Evaluating climate change pathways through a building’s lifecycle based on Dynamic Life Cycle Assessment, Building and Environment, 164, 2019, 106377, https://doi.org/10.1016/j.buildenv.2019.106377
Shimako, A.H., Tiruta-Barna, L., Bisinella de Faria, A.B., Ahmadi, A., Spérandio, M., 2018. Sensitivity analysis of temporal parameters in a dynamic LCA framework, Science of The Total Environment 624 (2018) 1250–1262, https://doi.org/10.1016/j.scitotenv.2017.12.220
Shimako, A.H., Tiruta-Barna, L., Pigné, Y., Benetto, E., Navarrete Gutiérrez, T., Guiraud, P., Ahmadi, A., 2016. Environmental assessment of bioenergy production from microalgae based systems, Journal of Cleaner Production, 139, 2016, 51-60,https://doi.org/10.1016/j.jclepro.2016.08.003

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