dc.contributor.author |
Saraidarian, Houri Noubar, |
dc.date.accessioned |
2017-08-30T14:05:38Z |
dc.date.available |
2017-08-30T14:05:38Z |
dc.date.issued |
2015 |
dc.date.submitted |
2015 |
dc.identifier.other |
b18350252 |
dc.identifier.uri |
http://hdl.handle.net/10938/10609 |
dc.description |
Thesis. M.E. American University of Beirut. Department of Electrical and Computer Engineering, 2015. ET:6253 |
dc.description |
Advisor : Dr. Sami Karaki, Professor, Electrical and Computer Engineering ; Members of Committee : Dr. Farid Chaaban, Professor, Electrical and Computer Engineering ; Dr. Rabih Jabr, Professor, Electrical and Computer Engineering. |
dc.description |
Includes bibliographical references (leaves 61-64) |
dc.description.abstract |
This thesis addresses the modeling, optimization, and sizing of a grid connected Hybrid Renewable Energy System (HRES) that consists of a Photovoltaic (PV) array that operates as a main source of generation, and two types of back-up systems. The first is a long-term back-up storage consisting of an Alkaline Fuel Cell (AFC) that gets its hydrogen from an Electrolyzer (EL), supplied from the main PV source. The second is an Ultra Capacitor (UC) which is considered as a short-term backup device. After modeling each component an optimal Energy Management System (EMS) was applied in order to minimize the cost of purchasing electricity from the grid and the CO2 emissions. The optimizing method being implemented is based on Linear Programming (LP) and it is subject to a number of constraints which are the power balance equation, upper and lower limits of power delivered by the various devices, ramp rate limits, hydrogen storage limitation, and the UC charge limits. These constraints will assure the reliability and the safety of the system while meeting the load requirements at the lowest cost. The reason behind choosing an LP technique is the linear nature of the objective function and the near linearity of the constraints. In addition to minimizing the cost, this system will allow the hazardous emissions to be reduced by using the clean alternative PV-based power generating system. The size of the PV modules is selected to give output power that is enough to feed the peak load when the solar radiation is available. The size of other components is set choosing the least solar radiation days of the year which represent the worst days that require the highest sizes of backups. A case study is presented for a village in Lebanon called Anjar where the unreliable nature of the grid is solved using HRES with different scenarios of operation. |
dc.format.extent |
1 online resource (xii, 64 leaves) : illustrations (some color) ; 30cm |
dc.language.iso |
eng |
dc.relation.ispartof |
Theses, Dissertations, and Projects |
dc.subject.classification |
ET:006253 |
dc.subject.lcsh |
Photovoltaic power systems -- Lebanon -- Anjar -- Case studies. |
dc.subject.lcsh |
Photovoltaic power generation -- Lebanon -- Anjar -- Case studies. |
dc.subject.lcsh |
Renewable energy sources -- Lebanon -- Anjar -- Case studies. |
dc.subject.lcsh |
Energy conservation -- Lebanon -- Anjar -- Case studies. |
dc.subject.lcsh |
Power resources -- Lebanon -- Anjar -- Case studies. |
dc.subject.lcsh |
Solar energy -- Lebanon -- Anjar -- Case studies. |
dc.subject.lcsh |
Fuel cells. |
dc.subject.lcsh |
Linear programming -- Lebanon -- Anjar -- Case studies. |
dc.title |
Optimal energy management of PV system with hydrogen technology - |
dc.type |
Thesis |
dc.contributor.department |
Faculty of Engineering and Architecture. |
dc.contributor.department |
Department of Electrical and Computer Engineering, |
dc.contributor.institution |
American University of Beirut. |