A Software Tool for Optimal Sizing of PV Systems in Malaysia
This paper presents a MATLAB based user friendly software tool called as PV.MY for optimal sizing of photovoltaic (PV) systems. The software has the capabilities of predicting the metrological variables such as solar energy, ambient temperature and wind speed using artificial neural network (ANN), o...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/969248 |
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| author | Tamer Khatib Azah Mohamed K. Sopian |
| author_facet | Tamer Khatib Azah Mohamed K. Sopian |
| author_sort | Tamer Khatib |
| collection | DOAJ |
| description | This paper presents a MATLAB based user friendly software tool called as PV.MY for optimal sizing of photovoltaic (PV) systems. The software has the capabilities of predicting the metrological variables such as solar energy, ambient temperature and wind speed using artificial neural network (ANN), optimizes the PV module/ array tilt angle, optimizes the inverter size and calculate optimal capacities of PV array, battery, wind turbine and diesel generator in hybrid PV systems. The ANN based model for metrological prediction uses four meteorological variables, namely, sun shine ratio, day number and location coordinates. As for PV system sizing, iterative methods are used for determining the optimal sizing of three types of PV systems, which are standalone PV system, hybrid PV/wind system and hybrid PV/diesel generator system. The loss of load probability (LLP) technique is used for optimization in which the energy sources capacities are the variables to be optimized considering very low LLP. As for determining the optimal PV panels tilt angle and inverter size, the Liu and Jordan model for solar energy incident on a tilt surface is used in optimizing the monthly tilt angle, while a model for inverter efficiency curve is used in the optimization of inverter size. |
| format | Article |
| id | doaj-art-c51822dd092449789606b241e849c82a |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-c51822dd092449789606b241e849c82a2025-02-03T05:59:32ZengWileyModelling and Simulation in Engineering1687-55911687-56052012-01-01201210.1155/2012/969248969248A Software Tool for Optimal Sizing of PV Systems in MalaysiaTamer Khatib0Azah Mohamed1K. Sopian2Department of Electrical, Electronic & System Engineering, Faculty of Engineering & Built Environment, The National University of Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaDepartment of Electrical, Electronic & System Engineering, Faculty of Engineering & Built Environment, The National University of Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaSolar Energy Research Institute, The National University of Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaThis paper presents a MATLAB based user friendly software tool called as PV.MY for optimal sizing of photovoltaic (PV) systems. The software has the capabilities of predicting the metrological variables such as solar energy, ambient temperature and wind speed using artificial neural network (ANN), optimizes the PV module/ array tilt angle, optimizes the inverter size and calculate optimal capacities of PV array, battery, wind turbine and diesel generator in hybrid PV systems. The ANN based model for metrological prediction uses four meteorological variables, namely, sun shine ratio, day number and location coordinates. As for PV system sizing, iterative methods are used for determining the optimal sizing of three types of PV systems, which are standalone PV system, hybrid PV/wind system and hybrid PV/diesel generator system. The loss of load probability (LLP) technique is used for optimization in which the energy sources capacities are the variables to be optimized considering very low LLP. As for determining the optimal PV panels tilt angle and inverter size, the Liu and Jordan model for solar energy incident on a tilt surface is used in optimizing the monthly tilt angle, while a model for inverter efficiency curve is used in the optimization of inverter size.http://dx.doi.org/10.1155/2012/969248 |
| spellingShingle | Tamer Khatib Azah Mohamed K. Sopian A Software Tool for Optimal Sizing of PV Systems in Malaysia Modelling and Simulation in Engineering |
| title | A Software Tool for Optimal Sizing of PV Systems in Malaysia |
| title_full | A Software Tool for Optimal Sizing of PV Systems in Malaysia |
| title_fullStr | A Software Tool for Optimal Sizing of PV Systems in Malaysia |
| title_full_unstemmed | A Software Tool for Optimal Sizing of PV Systems in Malaysia |
| title_short | A Software Tool for Optimal Sizing of PV Systems in Malaysia |
| title_sort | software tool for optimal sizing of pv systems in malaysia |
| url | http://dx.doi.org/10.1155/2012/969248 |
| work_keys_str_mv | AT tamerkhatib asoftwaretoolforoptimalsizingofpvsystemsinmalaysia AT azahmohamed asoftwaretoolforoptimalsizingofpvsystemsinmalaysia AT ksopian asoftwaretoolforoptimalsizingofpvsystemsinmalaysia AT tamerkhatib softwaretoolforoptimalsizingofpvsystemsinmalaysia AT azahmohamed softwaretoolforoptimalsizingofpvsystemsinmalaysia AT ksopian softwaretoolforoptimalsizingofpvsystemsinmalaysia |