Design of high spatial resolution renewable energy supply chain integrating mathematical model and geographic information system수학적 모델과 지리정보시스템을 결합한 재생에너지 고해상도 공급 사슬망 디자인

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In this study, the design framework is developed to design the supply chain with a high spatial resolution for renewable energy systems by considering the geographic characteristics of the target areas using the integrated approach of geographic information systems (GIS) and mathematical optimization. First, the three-stage framework for designing a microalgae-based biofuel supply chain is developed. The facility design is performed by economic analyses and biorefinery layout designs. Then, the biorefinery candidate locations and distance data between elements of the supply chain are obtained by GIS-based analyses under the geographic criteria and the designed biorefinery layouts. The mixed-integer linear programming optimization model is formulated as a multi-period model with three months as a unit time to consider biomass productivity fluctuations between seasons. The model decides both strategic decisions – location, design, and species of microalgae-based biorefinery and tactical decisions – material flow and production amount in unit time, under the minimization of unit biofuel production cost. Based on the developed model, case studies are performed in Texas U.S., La Guajira Colombia, and Northern Territory Australia, which are selected areas through the global biofuel suitability analysis. The effects of geographic characteristics on the cost and design of the supply chain are analyzed by comparing the results of three selected areas. The scenario analyses are also performed to analyze the effect of productivity fluctuation reduction strategy and alternative resource supply methods on the cost and design of the supply chain. The design framework is also applied to design offshore wind farms (OWF) with modifications considering characteristics of OWF. Similar to the biofuel supply chain design, the specification of wind turbines and electric cables are defined. Then, the candidate locations for wind turbines are screened considering geographical characteristics related to a wind power system. The optimization model is formulated to design the optimal wind turbine locations and cable routes under the unit capital cost of OWFs. The case study is performed in Jeju Island, South Korea to suggest optimal OWF locations and their layouts according to the energy plan of Jeju Island. The scenario analyses are performed to analyze the effect of spatiotemporal resolutions on the design and economics of OWF by changing minimum distances between turbines and unit time of wind speeds and directions. The design capability of the model under the high spatial resolutions and versatility of the model has shown through the two applications of renewable energy supply chain design.
Advisors
Lee, Jayhyungresearcher이재형researcher
Description
한국과학기술원 :생명화학공학과,
Country
한국과학기술원
Issue Date
2021
Identifier
325007
Language
eng
Article Type
Thesis(Ph.D)
URI
http://hdl.handle.net/10203/294669
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=962419&flag=dissertation
Appears in Collection
CBE-Theses_Ph.D.(박사논문)
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