Researcher: Soylu, Ahu
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Soylu, Ahu
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Publication Metadata only Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP(Elsevier Science Bv, 2006) Fujita, Kaoru; Asakura, Tatsuyuki; N/A; N/A; Department of Industrial Engineering; Soylu, Ahu; Oruç, Cihan; Türkay, Metin; Master Student; Master Student; Faculty Member; Department of Industrial Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 24956Energy, a fundamental entity of modern life, is usually produced using fossil fuels as the primary raw material. A consequence of burning fossil fuels is the emission of environmentally harmful substances. Energy production systems generate steam and electricity that are served to different customers to satisfy their energy requirement. The improvement of economical and environmental performance of energy production systems is a major issue due to central role of energy in every industrial activity. A systematic approach to identify the synergy among different energy systems is addressed in this paper. The multi-period and discrete-continuous nature of the energy production systems including investment costs are modeled using MILP. The proposed approach is applied on two examples that are simplified versions of an industrial problem. It is shown that the approach presented in this paper is very effective in identifying the synergy among different companies to improve their economical and environmental performance significantly.Publication Metadata only Synergy analysis of collaboration with biofuel use for environmentally conscious energy systems(Elsevier, 2006) Department of Industrial Engineering; N/A; Türkay, Metin; Soylu, Ahu; Faculty Member; Master Student; Department of Industrial Engineering; College of Engineering; Graduate School of Sciences and Engineering; 24956; N/AThe energy sector is a high-cost and high-emission sector. With the demanding environmental regulations, the energy producing companies must find new solutions continuously to decrease emissions while satisfying the energy demand. It was shown in previous studies that collaboration by exchanging steam among the energy companies can create synergy both in environmental and economical criteria. In addition to collaboration, transition to new technologies is necessary to satisfy environmental regulations. This paper presents an, analysis of the expected gains in a collaborative setting with an environmentally friendly fuel alternative, biodiesel. The problem is modeled as a Mixed-Integer Linear Programming. The results of the solutions are analyzed indicating the benefits of collaboration.