A Two-stage Model on Optimal Location and Operation of Waste-to-Energy Plants: Influence of Waste Composition Uncertainty
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU143661" target="_blank" >RIV/00216305:26210/21:PU143661 - isvavai.cz</a>
Výsledek na webu
<a href="http://files.convin.gr/various/EURO21-Conference_e-Handbook_Full_version.pdf" target="_blank" >http://files.convin.gr/various/EURO21-Conference_e-Handbook_Full_version.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Two-stage Model on Optimal Location and Operation of Waste-to-Energy Plants: Influence of Waste Composition Uncertainty
Popis výsledku v původním jazyce
Waste management is geared towards a circular economy with the aim to increase the sustainability of the system by reducing waste production, reduce landfilling and increasing recycling. More efficient management of municipal waste thus leads to higher material utilisation. On the other hand, high recycling is associated with the formation of residual waste flows that represent a significant energy potential. The composition of waste is very variable. However, it has a major effect on energy amount from its recovery. To ensure the operability and economic sustainability of Waste-to-Energy (WtE) plants, a real change in the composition of the waste must be considered. The energy amount, which could be obtained from waste recovery, varies between waste producers and should be included in strategic decisions. Herein, a twostage stochastic mixed-integer linear programming model is developed to support strategic capacity planning for waste energy recovery. It captures waste composition uncertainty and allo
Název v anglickém jazyce
A Two-stage Model on Optimal Location and Operation of Waste-to-Energy Plants: Influence of Waste Composition Uncertainty
Popis výsledku anglicky
Waste management is geared towards a circular economy with the aim to increase the sustainability of the system by reducing waste production, reduce landfilling and increasing recycling. More efficient management of municipal waste thus leads to higher material utilisation. On the other hand, high recycling is associated with the formation of residual waste flows that represent a significant energy potential. The composition of waste is very variable. However, it has a major effect on energy amount from its recovery. To ensure the operability and economic sustainability of Waste-to-Energy (WtE) plants, a real change in the composition of the waste must be considered. The energy amount, which could be obtained from waste recovery, varies between waste producers and should be included in strategic decisions. Herein, a twostage stochastic mixed-integer linear programming model is developed to support strategic capacity planning for waste energy recovery. It captures waste composition uncertainty and allo
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10102 - Applied mathematics
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategické partnerství pro environmentální technologie a produkci energie</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů