Detail publikace
Optimal location and operation of waste-to-energy plants when future waste composition is uncertain
PLUSKAL, J. ŠOMPLÁK, R. HRABEC, D. NEVRLÝ, V. HVATTUM, L.
Anglický název
Optimal location and operation of waste-to-energy plants when future waste composition is uncertain
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
en
Originální abstrakt
In many countries, waste management is increasingly geared towards a circular economy, aiming for a sustainable society with less waste generation, fewer landfills, and a higher rate of recycling. Waste-to-Energy (WtE) plants, which convert waste into heat and energy, can contribute to the circular economy by utilizing types of waste that cannot be recycled. Due to the varying quality of sorting and socio-economic conditions in individual regions, the waste composition differs between regions and has an uncertain future development. Waste composition significantly affects the operation of WtE plants due to differences in energy potential. This paper supports strategic capacity planning for waste energy recovery by introducing a two-stage stochastic mixed-integer linear programming model that captures waste composition uncertainty through scenarios of possible future development. The results of the model provide insights into the economics of operation and identify important factors in the sustainability of the waste handling system. The model is demonstrated on an instance with six scenarios for waste management in the Czech Republic for the year 2030. The solution of the proposed model is to build 14 new WtE plants with a total capacity of 1970 kt in addition to the four existing plants with a capacity of 831 kt. The annual energy recovery capacity is expected to increase almost four times to satisfy EU directives that restrict waste landfilling.
Anglický abstrakt
In many countries, waste management is increasingly geared towards a circular economy, aiming for a sustainable society with less waste generation, fewer landfills, and a higher rate of recycling. Waste-to-Energy (WtE) plants, which convert waste into heat and energy, can contribute to the circular economy by utilizing types of waste that cannot be recycled. Due to the varying quality of sorting and socio-economic conditions in individual regions, the waste composition differs between regions and has an uncertain future development. Waste composition significantly affects the operation of WtE plants due to differences in energy potential. This paper supports strategic capacity planning for waste energy recovery by introducing a two-stage stochastic mixed-integer linear programming model that captures waste composition uncertainty through scenarios of possible future development. The results of the model provide insights into the economics of operation and identify important factors in the sustainability of the waste handling system. The model is demonstrated on an instance with six scenarios for waste management in the Czech Republic for the year 2030. The solution of the proposed model is to build 14 new WtE plants with a total capacity of 1970 kt in addition to the four existing plants with a capacity of 831 kt. The annual energy recovery capacity is expected to increase almost four times to satisfy EU directives that restrict waste landfilling.
Klíčová slova anglicky
Stochastic programming; Facility location; Multi-commodity; Mixing approach; Lower heating value; MILP
Vydáno
01.11.2022
ISSN
1866-1505
Ročník
22
Číslo
5
Strany od–do
5765–5790
Počet stran
26
BIBTEX
@article{BUT178018,
author="Jaroslav {Pluskal} and Radovan {Šomplák} and Dušan {Hrabec} and Vlastimír {Nevrlý} and Lars Magnus {Hvattum},
title="Optimal location and operation of waste-to-energy plants when future waste composition is uncertain",
year="2022",
volume="22",
number="5",
month="November",
pages="5765--5790",
issn="1866-1505"
}