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Climate Change Impact tool


Climate Change Impact tool


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

Release Date: june 17, 2021

You can use CCI-tool 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. The only input data are the GHG emissions distributed in time: a template “template.csv” file is available, to be completed with your data.

The tool is available in two options :

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


CCI-tool is also compatible with LCI (Life Cycle Inventory) result files from DypLCA tool (http://dyplca.pigne.org/ ). DypLCA tool is a software for temporal LCI calculation for dynamic LCA. Use the result files (.csv) from DypLCA as input files in CCI-tool.


CCI-tool online 



Download and installation

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


  • 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


Example of results:

A factory operating 30 years, from 2020 to 2050. GHG emissions take place until 2050.
Does this system respect the European requirements to reduce impacts from 2030 and to be climate-neutral in 2050 ?
European Climate Law https://ec.europa.eu/info/sites/default/files/commission-proposal-regulation-european-climate-law-march-2020_en.pdf



No, the factory does not meet these targets: he figure shows global mean temperature change (K) relative to the production of one unit of product (e.g. 1kg product) (functional unit in LCA; the result can be multiplied by the total production amount to see the absolute value of the impact).
Mitigation action is proposed starting from 2020, through afforestation.
Two tree species are proposed: Pinus (50 years to maturity) and Fagus (140 years to maturity). According to the simulation results, Factory and Pinus scenario performs better based on the peak temperature and the neutrality time.
For a reference gauge:
Temperature increase budget per capita at present is TB = 6.41x10−11 degree/person (each person is currently allowed to increase the temperature by no more than 6.41x10-11 degrees, so as not to exceed the 1.5° global increase).


Contact us:

Ligia BARNA:
Department of sustainable chemical engineering, SOPHYE team.
mail: lbarna @ insa-toulouse.fr
+33 (0) 5 61 55 97 88



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