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Title:Multi-objective synthesis of company’s supply-networks based on integration of renewable resources
Authors:Vujanović, Annamaria (Author)
Kravanja, Zdravko (Mentor) More about this mentor... New window
Novak Pintarič, Zorka (Co-mentor)
Files:.pdf DOK_Vujanovic_Annamaria_2017.pdf (1,89 MB)
MD5: 96C0AE45BE869BCB238BB5E60EEA182F
 
Language:English
Work type:Doctoral dissertation (mb31)
Typology:2.08 - Doctoral Dissertation
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:The aim of this doctoral dissertation was to develop a general methodology for sustainable integration of company's supply networks into nearby regional networks by i) integrating renewables, thereby increasing company's energy self-sufficiency, ii) by performing multi-objective synthesis in order to obtain economically efficient and yet environmentally benign or even unburdening solutions, and iii) to perform dynamic and stochastic synthesis under uncertainties in dynamically changing market conditions in order to obtain more reliable and realistic solutions. The research work is directly interlinked with a large-scale European meat producing company Perutnina Ptuj d.d., which is located in the heart of Slovenia. The aim of the first part was to integrate renewables into companies’ supply-networks at regional level in order to maximize the self-sufficiencies of their energy supplies. This concerns companies’ activities from the use of natural resources to supplying their final products to the customers being interlinked with their regional networks. A Mixed-Integer Linear Programming (MILP) model has been developed for the integration of both the companies’ and surrounding regional supply-networks and the utilization of different types of renewables as sources for the companies’ energy supplies. The potential renewable energy sources, which are located within companies surrounding region are solar, biomass, organic and animal wastes. The result indicates that by sufficient integration of renewables into companies’ supply networks, profitable and yet energy self-sufficient solutions can be obtained. The second part presents the multi-objective synthesis of a company’s supply-network by integrating renewables and accounting for several environmental footprints. A previously developed model for achieving energy self-sufficiency by integrating renewables into companies’ supply-networks has been extended for the evaluation of environmental impacts, such as energy, carbon, nitrogen, and water footprints. The achievement of an energy self-sufficient supply-network has been considered whilst significantly reducing environmental impacts. Direct (burdening) and indirect (unburdening) effects that form total effects on the environment are considered for the evaluation of environmental footprints. This approach identifies those alternative energy production technologies that are more profitable and environmentally more benign with significant unburdening capabilities. The results showed significant unburdening of the environment in terms of carbon and nitrogen footprints; however, higher burdening in terms of the water footprint. The third part presents a multi-objective MILP synthesis of a dynamic supply-network under uncertainty applied to the company. The previously-developed multi-objective model for achieving energy self-sufficiency by integrating renewables into companies’ supply-networks has now been extended to account for the dynamic consideration of variable supply and demand over the year, for uncertainties related to products’ demand and sun radiation, and for multi-objective optimisation, in order to obtain the most sustainable company’s supply-network. The sustainable synthesis of a company’s network is performed regarding the integration of the renewables such as biomass and other wastes, and solar energy. The obtained solutions are those reflecting maximal profit, reflecting constantly-changing dynamic market conditions, accounting for several uncertain parameters, and protecting the environment.
Keywords:Company's supply network, Renewables, Environmental Impacts, Dynamic synthesis, Flexibility, Multi-objective optimisation, Uncertainty
Year of publishing:2017
Publisher:[A. Vujanović]
Source:Maribor
UDC:502.174.3:66.011(043.3)
COBISS_ID:20678934 New window
NUK URN:URN:SI:UM:DK:MFNWWCPM
Views:967
Downloads:118
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FKKT
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Secondary language

Language:Slovenian
Title:Večnamenska sinteza oskrbovalnih mrež podjetij na osnovi integracije obnovljivih virov
Abstract:Danes se svet sooča z izzivi, povezanimi s povečano odvisnostjo od energije in vode, ter rastočo skrbjo za okolje. Izboljšanje energetske učinkovitosti, zaradi naraščajočih stroškov energije in uvajanja ukrepov trajnostnega razvoja, je postal eden od najpomembnejših ciljev energetske politike in strategije v svetu. Naša družba se bo primorana spopasti z resnimi posledicami enormne porabe energije in posledično emisij toplogrednih plinov, če fosilnih virov energije kmalu ne nadomestimo z obnovljivimi. Vse več podjetij razvija in uporablja trajnostne tehnologije za uporabo čistih in obnovljivih virov energije za izboljšanje energetske učinkovitosti in znižanje stroškov, s čemer občutno zmanjšujejo obremenjevanje okolja. Tako si izboljšujejo konkurenčno prednost na globalnem trgu in pripomorejo k izboljšanju življenjskih pogojev v svoji bližnji okolici. Poraba energije je lahko eden ključnih dejavnikov, ki vpliva na trajnostni razvoj podjetja. Oskrba podjetij z obnovljivimi viri energije predstavlja velik izziv in hkrati priložnost za izboljšanje njihovega ekonomskega potenciala in zmanjšanje porabe fosilnih energetskih virov ter s tem okolju škodljivih emisij. Čeprav na svetovnem energetskem trgu še vedno prevladujejo fosilna goriva kot primarni viri energije, si vse več podjetij prizadeva povečevati in celo doseči samozadostno oskrbo z obnovljivimi viri energije. Potencialni obnovljivi viri energije, ki bi jih podjetja lahko izrabljala, so sončna energija, biomasa, razne vrste odpadkov in geotermalni viri energije. Kopičenje velikih količin živalskega gnoja in organskih odpadkov v sektorju vzreje živali, predstavlja stalno tveganje onesnaženja s potencialno negativnimi vplivi na okolje in družbo. Stalna nevarnost onesnaževanja okolja in strogi okoljski predpisi spodbujajo k rešitvi okoljskih težav, ki so povezane z dejavnostmi podjetij in optimalno ravnanje z odpadki. S takšnim pristopom lahko zmanjšamo odvisnost industrije od surovin in energije, zmanjšamo stroške oz. povečamo dobiček poslovanja. Hkrati pa omogočimo okrepitev sodelovanja med podjetjem in bližnjo regijo. Doktorska disertacija je rezultat raziskovalnega dela, ki je neposredno povezano s Skupino Perutnina Ptuj, mednarodno skupino podjetij, ki je ena najpomembnejših pridelovalcev perutninskega mesa in perutninskih živil v srednji in jugovzhodni Evropi. Poslanstvo Skupine je, da s skrbnim ravnovesjem tradicije, narave in najsodobnejše tehnologije prispevajo k boljšemu življenju posameznika, lokalnega okolja in družbe v celoti. Dosedanja raba energije temelji predvsem na fosilnih virih, ki pa so neobnovljivi. Predvsem v industrijskih procesih je potrebno hitro in učinkovito ukrepanje v smeri iskanja različnih možnosti učinkovite rabe obnovljivih virov energije. Procesna sistemska tehnika z vključitvijo trajnostnih vidikov (obnovljivih virov) omogoča določitev optimalnih trajnostnih rešitev. Uporaba superstrukturnega pristopa in matematičnega programiranja omogočata optimalno vključevanje oskrbovalne mreže proizvodnega podjetja v regionalno oskrbovalno mrežo. Optimiranje omogoča identificiranje najboljše rešitve glede na en ali na več kriterijev, ki so lahko ekonomski, okoljski, tehnološki in drugi, in je tako najboljše orodje za doseganje energetske samozadostnosti podjetja iz obnovljivih virov. Pri analizi okoljskih vplivov in večkriterijskem optimiranju z upoštevanjem le neposrednih okolju obremenilnih vplivov proizvodnje in rabe produktov ni mogoče pridobiti pravilnih rezultatov. Pravilne rezultate je mogoče dobiti le z dodatnim upoštevanjem posrednih, okolju razbremenilnih vplivov. Po tem pristopu je proizvodnja električne energije in toplote iz obnovljivih virov okoljsko razbremenjujoča. Z uporabo dinamičnega večnamenskega optimiranja je možno z upoštevanjem poleg obremenilnih tudi razbremenilnih vplivov dosegati rešitve, ki so izboljšane hkrati tako po ekonomskem kot okoljskem kriteriju; torej ne samo z izboljševanjem enega kriterija ob slabšanju drugega.
Keywords:podjetniška oskrovalna mreža, obnovljivi viri energije, okoljski vplivi, dinamično večnamensko optimiranje, večkriterijsko optimiranje, negotovost


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