Justine – tool applied for forecasting in waste management
What is Justine?
Justine represents a sophisticated tool for simultaneous forecasting of waste amounts and waste parameters at different territorial units. From general perspective, the tool can be applied to any problem, where forecasts are performed based on spatially distributed data from previous years. This data are supposed to be incomplete, sometimes even uncertain.
The key implementation ideas of this tool are based on expert-based knowledge, heuristic approaches, common sense reasoning and last but not least on advanced statistical and optimization techniques.
One of the key applications of Justine so far has addressed household waste produced in the Czech Republic
Justine contributes to
- investigating historical data from different regions and formulating general models on the production and composition of waste;
- proposal of recovery targets, rational regarding the current situation in individual (micro) regions and municipalities;
- exploiting examples of good practice from regions with high recovery rates;
- historical data from one region can serve as one scenario for another region.
Justine – Application examples
The tool is applicable to any problem, where quantitive data are extrapolated simulataneously for lot's of nodes. We present two early applications of Justine. They both have been inspired by an extensive project for the Ministry of the Environment of the Czech Republic. The following questionnaires provide first insight into two completely different cases:
- Future amount of hazardous waste (HW) produced in different territorial units of the CZE (Questionnaire)
- Future amount of residual waste (RES) produced in different territorial units of the CZE. Increased separation of paper (PAP), plastics (PLA), glass (GLA) and kitchen bio-waste (BIO) is taken into account. The separation is limited by maximum separation efficiencies, which is subject to the region (Questionnaire).
Consult your idea for Justine application with us and fill in this form
Justine – Find more information about its scientific background!
- PAVLAS, M.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; NEVRLÝ, V.; ZAVÍRALOVÁ, L.; KŮDELA J.; POPELA P.. Spatially Distributed Production Data for Supply Chain Models – Forecasting with Hazardous Waste. Journal of Cleaner Production 161C (2017) pp. 1317–1328,
Justine – Are you interested? Contact us.
Dr. Martin PAVLAS
Coordinator of Energy&Simulation research group
e-mail: martin.pavlas@vutbr.cz
orcid.org/0000–0002–2300–953X
NERUDA = tool for simulation of waste flows at regional and/or international level
