مشروع البحث:
Solar hydrogen system assement using multi criteria decision analysis

dc.contributor.advisorأ. د.ابراهيم عمر ارحومة
dc.date.accessioned2026-11-01T08:47:02Z
dc.date.available2026-11-01T08:47:02Z
dc.descriptionSolar energy in general and photovoltaic technology in particular were studied in this research in addition to hydrogen technologies. A standalone PV system coupled with hydrogen electrolyser for producing hydrogen that in turn utilized by means of a fuel cell to generate electricity was compared with other power supply systems. These are PV stand-alone systems with batteries as a storage, diesel generator and the option of extending the national grid to decide for their suitability to electrify Libyan remote villages. To overcome the deficiency of life cycle cost analysis method that is used by many for the appraisal of new projects in including non-monetary criteria into the evaluation, a multi criteria decision analysis technique was used as a comprehensive evaluation tool to conduct an inclusive comparison among the four power supply options suggested for the electrification of the Libyan remote village. In addition to the economic
dc.description.abstractSolar energy is one of the most important renewable energy sources in the world. It is the most abundant, practically inexhaustible and the most environmentally friendly form of all energies. The most important is that technologies are available at present to convert this energy source into heat, and electricity. It is very clear that the Libyan energy sector is poorly managed and is unsustainable in addition to this the Libyan population density is very low owing to the large area of the country. this led to the problem of many remote villages are scattered in the country and located far from the national electricity grid letting them with no access to electricity.
dc.identifier6116
dc.identifier.urihttps://dspace.academy.edu.ly/handle/123456789/2703
dc.subjectSOLAR HYDROGEN SYSTEM ASSESSMENT USING
dc.titleSolar hydrogen system assement using multi criteria decision analysis
dspace.entity.typeProject
project.endDate2016
project.funder.nameالهندسة الميكانيكية والطاقات
project.investigatorالطيب محمد فوزى الامين
project.startDate2015
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