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Evaluating a Power Supply System for a Small-Scale Cocoa Processing Plant: A Multi-Criteria Decision Analysis Approach
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The global supply and demand of energy is facing different challenges. On one hand an increasing energy demand, foremost in developing countries, and an increasing pressure on reaching climate goals changes the requirements on the design of power supply systems. This may be particularly relevant in terms of decentralized energy solutions and hybrid systems that incorporates renewable energy sources. This study exemplifies the use of multi-criteria decision analysis (MCDA) to evaluate different power supply alternatives for a small-scale cocoa processing plant (SSCPP), placed in Côte d´Ivoire. MCDA is an analytical approach to evaluate decision alternatives according to certain criteria, with the aim to find a preferred alternative. The function of a cocoa processing plant depends highly on its power supply. This study has been performed by first analysing the energy needs of the processing plant, which includes electricity, heating and cooling. Based on those specific energy needs different power supply alternatives have been created. In a following evaluation it has been exemplified how MCDA can be used within the energy sector to evaluate different alternatives. Within this exemplifying evaluation, following power supply solutions have been considered: power grid, power grid with back-up generator, power grid with LPG-heating (Liquified Petroleum Gas), power grid with solar energy, off-grid solar system with back-up generator and an off-grid generator with heat exchanger. The evaluation of alternatives has been made by using the three evaluation attributes: levelized cost of energy (LCOE), loss of load hours (LOLH) and carbon footprint of energy (CFOE).

Place, publisher, year, edition, pages
2018. , p. 97
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:hig:diva-26160OAI: oai:DiVA.org:hig-26160DiVA, id: diva2:1183545
Subject / course
Decision, risk and policy analysis
Educational program
Decision, risk och policy analysis - master’s programme (one year)
Supervisors
Examiners
Available from: 2018-02-26 Created: 2018-02-18 Last updated: 2018-02-26Bibliographically approved

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fulltext(4052 kB)76 downloads
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216509661b72339af153ba88e1eb5d0c62d852dc9aba5284e3d695fe5ef7aaae3a5df43389915a50496d6f3e6de611bc5f800b605fbc58c3401d792db18c4f81
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf