System Level Design and Simulation of PV/Diesel/Battery Hybrid Power Systems for Portable Classrooms

Author(s):  
Atif M. Aliuddin ◽  
AbdulAziz S. Alhamoud ◽  
Samir Mekid

This paper discusses a system level design and simulation of a portable solar powered classroom for rural areas that are not connected to the national grid. This constitutes a serious handicap to support general public utilities such as lack of proper schools and usual daily utilities. The lack of schools in such areas has lead to a lower level of educational standard as compared to urban schools. These regions are often isolated and far away from any major cities and thus have limited educational resources. Often these areas lack proper teaching facilities, which in turn discourage students from seriously pursuing education. Coincidentally these areas are exposed to a large amount of solar energy over the course of a year. This paper focuses on the utilization of this captured solar energy transformed into electricity to serve all electrical devices that equip a portable solar classroom. The load profile for this classroom was selected based on the power requirements of an average classroom and basic educational technologies. A parametric study was done using software that specializes in simulating renewable energy solutions (HOMER). Various alternatives for the same load profile are compared and a cost analysis and comparison between alternatives is presented. The practicality of the project is evaluated and a suitable Hybrid power system is presented.

Author(s):  
K. J. Kattke ◽  
R. J. Braun

Effective thermal management is critical to the successful design of small (<10 kW) solid oxide fuel cell (SOFC) power systems. While separate unit processes occur within each component of the system, external heat transport from/to components must be optimally managed and taken into account in system-level design. In this paper, we present a modeling approach that captures thermal interactions among hot zone components and couples this information with system process design. The resulting thermal model is then applied to a mobile SOFC power system concept in the 1–2 kW range to enable a better understanding of how component heat loss affects process gas temperature and flow requirements throughout the flowsheet. The thermal performance of the system is examined for various thermal management strategies that involve altering the convective and radiative heat transfer in the enclosure. The impact of these measures on internal temperature distributions within the cell-stack is also presented. A comparison with the results from traditional adiabatic, zero-dimensional thermodynamic system modeling reveals that oxidant flow requirements can be overpredicted by as much as 204%, resulting in oversizing of recuperator heat duty by 221%, and that important design constraints, such as the magnitude of the maximum cell temperature gradient within the stack, are underpredicted by over 24%.


Author(s):  
K. J. Kattke ◽  
R. J. Braun

Effective thermal management is critical to the successful design of small (&lt;10 kW) solid oxide fuel cell (SOFC) power systems. While separate unit processes occur within each component of the system, external heat transport from or to components must be optimally managed and taken into account in system-level design. In this paper, we present a modeling approach that captures thermal interactions among hot zone components and couples this information with system process design. The resulting thermal model is then applied to a mobile SOFC power system concept in the 1–2 kW range to enable a better understanding of how component heat loss affects process gas temperature and flow requirements throughout the flowsheet. The thermal performance of the system is examined for various thermal management strategies that involve altering the convective and radiative heat transfer in the enclosure. The impact of these measures on internal temperature distributions within the cell-stack is also presented. A comparison with results from traditional adiabatic, zero-dimensional thermodynamic system modeling reveals that oxidant flow requirements can be over-predicted by as much as 110% and that important design constraints, such as the magnitude of the maximum cell temperature gradient within the stack, are under-predicted by over 40%.


Author(s):  
Ariel Jimenez ◽  
Natalia Morales ◽  
Carlos Paez ◽  
Arturo Fajardo ◽  
Gabriel Perilla

2014 ◽  
Vol 42 (4) ◽  
pp. 57-62
Author(s):  
Yuki Ando ◽  
Masataka Ogawa ◽  
Yuya Mizoguchi ◽  
Kouta Kumagai ◽  
Miaw Torng-Der ◽  
...  

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