Optimization of Renewable Energy Systems

Simple item page
dc.contributor.authorMaharana,Debasis
dc.date.accessioned2025-03-11T05:32:43Z
dc.date.available2025-03-11T05:32:43Z
dc.date.issued2024
dc.descriptionSupervisor: Kotecha, Prakash
dc.description.abstractThe transition to carbon-neutral energy sources like solar, wind, biofuels etc., reduces dependence on fossil fuels. Biofuels offer a practical alternative, while solar energy is popular for its low cost and abundance. This thesis explores optimization methodologies for developing renewable energy systems, focusing on biorefinery supply chains and solar energy systems, ensuring technical and economic feasibility. The biofuel supply chain requires complex, multi-stage optimization, particularly in biorefinery capacity planning, where design constraints limit economic processing options leading to suboptimal results. MILP models can optimize supply chain decisions; however, they are computationally intensive. Metaheuristic methods provide near-optimal solutions but face challenges with feasibility due to complex mass balance constraints.
dc.identifier.otherROLL NO.156107002
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/2820
dc.language.isoen
dc.relation.ispartofseriesTH-3505
dc.titleOptimization of Renewable Energy Systems
dc.typeThesis
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
Abstract-TH-3505_156107002.pdf
Size:
114.3 KB
Format:
Adobe Portable Document Format
Description:
ABSTRACT
Download
No Thumbnail Available
Name:
TH-3505_156107002.pdf
Size:
11.57 MB
Format:
Adobe Portable Document Format
Description:
THESIS
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
PhD Theses (Chemical Engineering)