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Sustainable waste-to-energy facility location: Influence of demand on energy sales

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dc.title Sustainable waste-to-energy facility location: Influence of demand on energy sales en
dc.contributor.author Hrabec, Dušan
dc.contributor.author Šomplák, Radovan
dc.contributor.author Nevrlý, Vlastimír
dc.contributor.author Viktorin, Adam
dc.contributor.author Pluháček, Michal
dc.contributor.author Popela, Pavel
dc.relation.ispartof Energy
dc.identifier.issn 0360-5442 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2020
utb.relation.volume 207
dc.event.title 22nd Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES)
dc.event.location Crete
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2019-10-20
dc.event.edate 2019-10-23
dc.type article
dc.type conferenceObject
dc.language.iso en
dc.publisher Elsevier Ltd
dc.identifier.doi 10.1016/j.energy.2020.118257
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0360544220313645
dc.subject Waste-to-Energy facility location en
dc.subject Economic sustainability en
dc.subject Energy recovery en
dc.subject Heat demand en
dc.subject Energy sales en
dc.subject Meta-heuristic en
dc.description.abstract Waste-to-Energy facility location with practical insights into its economic sustainability is assessed by two mathematical models. The first model minimising transportation and investment costs leads to a mixed-integer linear problem, for which commercial solvers perform very well. However, economic performance, which is needed for long-term projects requiring large investments, is not met when the capacity of the plant is not fully utilised. This can be resolved by a revenue model defining gate fees for potential plant capacities. Therefore, a second model including penalty co st functions associated with reduced energy sales and unutilised capacity of plants is developed. This leads to a non-linear model where solvers perform well for small and medium-size instances and so a modified meta-heuristic algorithm is proposed. Both models are applied to data from the Czech Republic. Insights into performance of the models and their economical sustainability using demand influence on the energy sales are provided. While the solution of the linear model proposes a higher number of facilities with less total capacity repletion, the non-linear model suggests a smaller number of facilities with higher total repletion presenting a reasonable sustainable solution. The strategy supports the decision-making of authorities for the sustainable planning of new projects. © 2020 Elsevier Ltd en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009799
utb.identifier.obdid 43881267
utb.identifier.scopus 2-s2.0-85087822185
utb.identifier.wok 000558533200063
utb.identifier.coden ENEYD
utb.source j-scopus
dc.date.accessioned 2020-07-29T07:30:39Z
dc.date.available 2020-07-29T07:30:39Z
dc.description.sponsorship Czech Science FoundationGrant Agency of the Czech Republic [GA 20-00091Y]; project Computer Simulations for Effective Low-Emission Energy by the Czech Republic Operational Programme Research and Development, Education, Priority 1: Strengthening capacity for quality research [CZ.02.1.01/0.0/0.0/16026/0008392]; project Sustainable Process Integration Laboratory SPIL by the Czech Republic Operational Programme Research and Development, Education, Priority 1: Strengthening capacity for quality research [CZ.02.1.01/0.0/0.0/15_003/0000456]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2020/001]
utb.contributor.internalauthor Hrabec, Dušan
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Pluháček, Michal
utb.fulltext.affiliation Dušan Hrabec a*, Radovan Šomplák b, Vlastimír Nevrlý c, Adam Viktorin a, Michal Pluhaček a, Pavel Popela c a Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 760 05, Zlín, Czech Republic b Sustainable Process Integration Laboratory, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology, Technicka 2, 616 69, Brno, Czech Republic c Faculty of Mechanical Engineering, Brno University of Technology, Technicka 2, 616 69, Brno, Czech Republic * Corresponding author. E-mail address: hrabec@utb.cz (D. Hrabec).
utb.fulltext.dates Received 15 January 2020 Received in revised form 24 June 2020 Accepted 27 June 2020 Available online 5 July 2020
utb.fulltext.sponsorship This work was supported by Grant No. GA 20-00091Y of the Czech Science Foundation . The support is gratefully acknowledged. The authors also acknowledge the financial support provided by the project Computer Simulations for Effective Low-Emission Energy funded as project No. CZ.02.1.01/0.0/0.0/16026/0008392 and by the project Sustainable Process Integration Laboratory SPIL, funded as project No. CZ.02.1.01/0.0/0.0/15_003/0000456 , both by the Czech Republic Operational Programme Research and Development, Education, Priority 1: Strengthening capacity for quality research. This work is also supported by the Internal Grant Agency of Tomas Bata University under Project no. IGA/CebiaTech/2020/001 .
utb.wos.affiliation [Hrabec, Dusan; Viktorin, Adam; Pluhacek, Michal] Tomas Bata Univ Zlin, Fac Appl Informat, Stranemi 4511, Zlin 76005, Czech Republic; [Somplak, Radovan] Brno Univ Technol, Fac Mech Engn, NETME Ctr, Sustainable Proc Integrat Lab, Tech 2, Brno 61669, Czech Republic; [Nevrly, Vlastimir; Popela, Pavel] Brno Univ Technol, Fac Mech Engn, Tech 2, Brno 61669, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 760 05, Czech Republic; Sustainable Process Integration Laboratory, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology, Technická 2, Brno, 616 69, Czech Republic; Faculty of Mechanical Engineering, Brno University of Technology, Technická 2, Brno, 616 69, Czech Republic
utb.fulltext.projects GA 20-00091Y
utb.fulltext.projects CZ.02.1.01/0.0/0.0/16026/0008392
utb.fulltext.projects CZ.02.1.01/0.0/0.0/15_003/0000456
utb.fulltext.projects IGA/CebiaTech/2020/001
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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