The LCA Simulations Engine uses proprietary datasets. The information, data, or any other resources calculated and/or provided by the LCA Simulations Engine are strictly confidential and must be handled in accordance with the confidentiality terms outlined in your contract with KYKLOS 4.0 or as part of any authorized dissemination and/or educational activity. You are not authorized to distribute, share, or export any information, dataset, or any portion thereof from the LCA Simulations Engine.
This web app, in the context of KYKLOS 4.0 H2020 project, provides a friendly interface to carry out the life cycle assessment and calculate the impact indicator scores, based on static and dynamic data sources
Identify and quantify the processes involved in producing, using, recycling a unit of product
Store your records in your personal account for future reference and comparisons
Export the calculated impact indicators as data or graphs
The Eco-indicator Calculator shows the environmental impact of a product throughout its life cycle
Combine different data sources and pull data dynamically from connected sensors at process level
Create unlimited projects with as many processes per stage are needed to have an assessment of the environmental impact of your product per unit
Export tables and graphs of the Eco-indicator distribution of the analysed product per stage
The calculation models and data are exposed as REST API, secured with JWT to promote connectivity and security
The LCA Simulations Engine uses proprietary datasets. The information, data, or any other resources calculated and/or provided by the LCA Simulations Engine are strictly confidential and must be handled in accordance with the confidentiality terms outlined in your contract with KYKLOS 4.0 or as part of any authorized dissemination and/or educational activity. You are not authorized to distribute, share, or export any information, dataset, or any portion thereof from the LCA Simulations Engine.
This project received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 872570