Detail publikace

Computational system for simulation and forecasting in waste management incomplete data problem

Originální název

Computational system for simulation and forecasting in waste management incomplete data problem

Anglický název

Computational system for simulation and forecasting in waste management incomplete data problem

Jazyk

en

Originální abstrakt

In this contribution, we present a tool for verification and forecasting of current and future production of residual municipal waste and its lower heating value (LHV) to support WTE design process. Newly developed tool JUSTINE is introduced. From the principal point of view it is a wait-and-see optimization model recursively applied to region divided into several subregions and also their parts. It processes variety of spatially distributed statistical data bound together through equations and constraints. This data is supposed to be incomplete (some local information might be unavailable) and uncertain. The wait-and-see optimization model is used to obtain point estimates of desired parameters that can be used for waste production and LHV forecasts. In addition, for randomly simulated input data reflecting real-world uncertainties empirical confidence intervals of input and output values can be computed. The practical contribution of this tool is presented through a case study.

Anglický abstrakt

In this contribution, we present a tool for verification and forecasting of current and future production of residual municipal waste and its lower heating value (LHV) to support WTE design process. Newly developed tool JUSTINE is introduced. From the principal point of view it is a wait-and-see optimization model recursively applied to region divided into several subregions and also their parts. It processes variety of spatially distributed statistical data bound together through equations and constraints. This data is supposed to be incomplete (some local information might be unavailable) and uncertain. The wait-and-see optimization model is used to obtain point estimates of desired parameters that can be used for waste production and LHV forecasts. In addition, for randomly simulated input data reflecting real-world uncertainties empirical confidence intervals of input and output values can be computed. The practical contribution of this tool is presented through a case study.

BibTex


@inproceedings{BUT116006,
  author="Lenka {Szásziová} and Radovan {Šomplák} and Martin {Pavlas} and Jiří {Kropáč} and Pavel {Popela} and Ondřej {Putna} and Jiří {Gregor}",
  title="Computational system for simulation and forecasting in waste management incomplete data problem",
  annote="In this contribution, we present a tool for verification and forecasting of current and future production of residual municipal waste and its lower heating value (LHV) to support WTE design process. Newly developed tool JUSTINE is introduced. From the principal point of view it is a wait-and-see optimization model recursively applied to region divided into several subregions and also their parts.
It processes variety of spatially distributed statistical data bound together through equations and constraints. This data is supposed to be incomplete (some local information might be unavailable) and uncertain. The wait-and-see optimization model is used to obtain point estimates of desired parameters that can be used for waste production and LHV forecasts. In addition, for randomly simulated input data reflecting real-world uncertainties empirical confidence intervals of input and output values can be computed. The practical contribution of this tool is presented through a case study.",
  address="Aidic Servizi Srl",
  booktitle="Proceedings of the 18th International Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES 2015)",
  chapter="116006",
  doi="10.3303/CET1545128",
  howpublished="electronic, physical medium",
  institution="Aidic Servizi Srl",
  year="2015",
  month="august",
  pages="763--768",
  publisher="Aidic Servizi Srl",
  type="conference paper"
}