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Multi-objective synthesis of a company's supply network by accounting for several environmental footprints
Affiliation:1. Perutnina Ptuj d.d., Potrčeva cesta 10, 2250 Ptuj, Slovenia;2. Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ul. 17, SI-2000 Maribor, Slovenia;1. Chemical Process Engineering Research Institute, Centre for Research and Technology Hellas, Thermi-Thessaloniki, Greece;2. Department of Automation Engineering, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;3. Aristotle University of Thessaloniki, Department of Mechanical Engineering, Thessaloniki, Greece;4. Systems Sunlight S.A., Xanthi, Greece;1. Automatic Control Laboratory, University of Mons, Boulevard Dolez 31, B-7000 Mons, Belgium;2. Department of Automation and Systems, Federal University of Santa Catarina, 476 Florianopolis, 88040-900, Brazil;1. University of Oulu, Chemical Process Engineering, P.O. Box 4000, FI-90014 Oulun yliopisto, Finland;2. Outotec Oyj, Outotec Research Center, P.O. Box 69, FI-23101 Pori, Finland;1. School of Biochemical Engineering, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2085, PO Box 4059, Valparaíso, Chile;2. Instituto Superior Politécnico José A. Echeverría (ISPJAE), Ave. 114 # 11091, e/Rotonda y Ciclovía, Marianao, La Habana, Cuba;3. CREAS CONICYT Regional GORE Valparaíso R0GI1004, Av. Universidad, Curauma, Chile;1. Dipartimento di Chimica Industriale “Toso Montanari”, Alma Mater Studiorum – Università di Bologna, via Terracini 34, 40131 Bologna, Italy;2. Dept. of Chemical Engineering, University of Chemistry and Technology in Prague Technická 3, 166 28 Praha 6 − Dejvice, Czech Republic;3. Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum – Università di Bologna, via Terracini 34, 40131 Bologna, Italy
Abstract:This contribution presents the multi-objective synthesis of a company's supply network by integrating renewables (biomass and other waste, and solar energy) and accounting for several environmental footprints. The synthesis is based on a Mixed-Integer Linear Programming (MILP) problem. A previously developed model by the authors 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.The presented model is applied to multinational poultry-meat producing company. Direct (burdening) and indirect (unburdening) effects that form total effects on the environment are considered for the evaluation of environmental footprints. The results showed significant unburdening of the environment in terms of carbon and nitrogen footprints but, however, higher burdening in terms of the water footprint.
Keywords:Multi-objective synthesis  Company's supply network  Renewables  Environmental impacts  Footprints  Total footprints
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