Techno-Economic Performance Evaluation and Enhancement for a PV – Diesel Hybrid System

Article Preview

Abstract:

In this research paper, an illustration for system size optimization for a stand-alone PV – diesel hybrid system is obtained. The requirement is to obtain an optimal size that can meet energy demand at an optimized cost for a given lifetime period of the project, this will be achieved using HOMER software to further improve the system parameters like performance ratio, renewable energy fraction, MATLAB will be used. This research study will be done basing on a system currently installed at the School of Renewable Energy, Naresuan University (SERT), this system has a capacity of 120 kW, and it is a hybrid system with PV array, Diesel generator and battery storage system. The cost parameters that will be addressed are; - Net present cost (NPC), Cost of Energy (COE), Capital cost (CC). The initial size of the hybrid system is PV-120kW, Diesel generator -100kW and battery storage of 200kWh after modelling and simulation with HOMER software using special models to show the predicted performance of the final outcome, the optimal size created has a PV size of 100kW, diesel generator with a size of 100kW and battery storage of 100kWh and compared to the initial system COE od 1.01$/kWh, the optimal size has a COE of 0.934$/kWh.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

130-135

Citation:

Online since:

June 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] End of Fossil fuels. Available from: https: /www. ecotricity. co. uk/our-green-energy/energy-independence/the-end-of-fossil-fuels.

Google Scholar

[2] Yamegueu, D., et al., Experimental study of electricity generation by Solar PV/diesel hybrid systems without battery storage for off-grid areas. Renewable Energy, 2011. 36(6): pp.1780-1787.

DOI: 10.1016/j.renene.2010.11.011

Google Scholar

[3] Dufo-López, R. and J.L. Bernal-Agustín, Design and control strategies of PV-Diesel systems using genetic algorithms. Solar Energy, 2005. 79(1): pp.33-46.

DOI: 10.1016/j.solener.2004.10.004

Google Scholar

[4] Connolly, D., et al., A review of computer tools for analysing the integration of renewable energy into various energy systems. Applied Energy, 2010. 87(4): pp.1059-1082.

DOI: 10.1016/j.apenergy.2009.09.026

Google Scholar

[5] Arnaud ETE Optimization of the HARI stand-alone energy system with TRNSYS, (2006).

Google Scholar

[6] Ai, B., et al., Computer-aided design of PV/wind hybrid system. Renewable Energy, 2003. 28(10): pp.1491-1512.

DOI: 10.1016/s0960-1481(03)00011-9

Google Scholar

[7] Getting started with MATLAB. (n. d. ). Natick: The MathWork.

Google Scholar

[8] Using MATLAB. (n. d. ). Natick: The MathWork.

Google Scholar

[9] Using HOMER Software http: /www. homerenergy. com.

Google Scholar

[10] Goldberg, D.E., Genetic Algorithms in Search, Optimization and Machine Learning. 1989: Addison-Wesley Longman Publishing Co., Inc. 372.

Google Scholar

[11] Shaahid, S.M. and I. El-Amin, Techno-economic evaluation of off-grid hybrid photovoltaic–diesel–battery power systems for rural electrification in Saudi Arabia—A way forward for sustainable development. Renewable and Sustainable Energy Reviews, 2009. 13(3): pp.625-633.

DOI: 10.1016/j.rser.2007.11.017

Google Scholar