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Naser Kordani

Naser Kordani

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Faculty of Technology and Engineering
Address: Department of Mechanical Engineering, University of Mazandaran, Babolsar
Phone: 011-35305173

Research

Title
Design and Optimization of Linear Concentrating Photovoltaic System for Combined Power, Heat and
Type
Thesis
Keywords
This study was conducted on the LCPVs in synchronization with the Python Software to compare the results of the Engineering Equation Solver (EES). The effect of cooling fluid in the system and its effect on the productivity of multi-junction cells were also evaluated. The results from the simulation of the data appeared to assess the LCPVs through an environmental perspective, electricity plus water heating. In addition, this system used renewable energy which led to a decrease of Co2. The comparison of the current study results with those obtained previously indicated great similarity with a minimal error of 0.002 (kWh). Also by changing the design of the LCPVs it was shown that the average efficiency increased 0.598 % in comparison with that of the old design.
Year
2016
Researchers Mohammad Karimzadeh(Student)، Ugur Atikol(PrimaryAdvisor)، Naser Kordani(PrimaryAdvisor)

Abstract

The world is confronted with an impending energy supply crisis. Keeping in mind the end goal which is to maintain and expand our energy supply should be in a way that takes into consideration our surrounding environment as it is important to make progress with renewable technologies. However, irrespective of this urgent demand, it is crucial to appraise the bigger environmental impacts associated with the use of renewable energy sources. The intention of this paper work is to create a better comprehension of Linear Concentrating Photovoltaics (LCPVs) from an engineering point of view which is as a result of the recent developments and many research in this field which led to the development of this system. This study was conducted on the LCPVs in synchronization with the Python Software to compare the results of the Engineering Equation Solver (EES). The effect of cooling fluid in the system and its effect on the productivity of multi-junction cells were also evaluated. The results from the simulation of the data appeared to assess the LCPVs through an environmental perspective, electricity plus water heating. In addition, this system used renewable energy which led to a decrease of Co2. The comparison of the current study results with those obtained previously indicated great similarity with a minimal error of 0.002 (kWh). Also by changing the design of the LCPVs it was shown that the average efficiency increased 0.598 % in comparison with that of the old design.