International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-5 Issue-6, November 2015 10 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Numeric Model Analysis of a Large Scale Solar PV Generations M. H. Jali, Z.H. Bohari, T.A. Izzuddin, H. Sarkawi, M.F. Sulaima, A. Ibrahim Abstract - This paper presents a numeric model analysis of a large scale solar photovoltaic (PV) generations projects taking advantage of the Feed-in Tariff (FiT) policies by government. It proposed an optimal plan for low risk and high return investment of one of the most rapidly growth renewable energy technology. In order to achieved that target, several selection criteria has been described such as strategic location, long life time materials, high durability and reliability, less maintenance and affordable raw material price. The objective of this study is to propose an optimal investment plan using structured numeric model analysis based on the case study at the Kuala Lumpur International Airport (KLIA), Malaysia. The PV generation project investment achievement is measured using several parameters such as cash flow, Return of Investment (ROI), payback period, Net Present Value (NPV), Internal Rate of Return (IRR) and cost break-even analysis. Based on the analysis, it can be convinced that solar PV generation FiT project is desired to undertake where it provides good long-term investment. Keyword – Photovoltaic (PV), Feed-in tariff (FiT), renewable energy, numeric model analysis, investment. I. INTRODUCTION Statistic shown that between year 2004 to 2009, the total global grid-connected solar PV capacity has increased to a total of about 21 GW annually [1]. The national renewable energy (RE) policy is introduced to ensure the renewable energy resources utilization could provide reserve to the national electric supply. A feed-in tariff (FiT) is a kind of mechanism designed to encourage the investment in renewable energy sectors. It offers long-term purchasing contracts to anyone who produces renewable energy based on the cost of energy generation commonly due to different technology. For instance wind power has lower per-kWh price than solar PV because solar has higher generation cost, typically based on the cost of generation of each different technology [2]. FiT also enable users to sell excess power to the power grid thus encourage more people to adopt renewable energy sources. Revised Version Manuscript Received on October 24, 2015. M. H. Jali, Department of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Z.H. Bohari, Department of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. T.A. Izzuddin, Department of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. H. Sarkawi, Department of Electronic & Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia M.F. Sulaima, Department of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. A. Ibrahim, Department of Electrical Engineering, Politeknik Melaka, Plaza Pandan Malim, 75250 MALIM, Melaka, Malaysia. One reason for Malaysia's embrace of progressive renewable energy policies may lie in its role as a destination for solar manufacturing, at a scale particularly impressive for its small size and population of only 28.2 million. Global industry leader First Solar has four plants in Malaysia with a total annual module capacity of 720MW while Sun Power is also constructing manufacturing facilities in the nation. There are several potential impacts of national RE policy towards Malaysia economy. First of all government will save an external cost to mitigate CO 2 emissions that cost RM50 per tonnes. Besides that renewable energy business revenue can generate income tax up to 1.75billion to the government. It also can create more than 52000 jobs to construct, operate and maintain RE power plants [3][4]. This study proposed an optimal strategic plan for low risk and high return investment PV solar power generation to grab the benefit of the Feed-in Tariff (FiT) policies by government. It is based on case study conducted at Kuala Lumpur International Airport (KLIA), Malaysia. Astructured numeric model analysis is thoroughly explained in this study.It also describe briefly the selection criteria and conceptual design to achieve a good long term investment. II. PROJECT SELECTION CRITERIA There are a few selection criteriato ensure a low-investment high-return project. These criteria need to be considered thoroughly to establish a well-managed and profitable large scale photovoltaic project. The criteria of this PV power generation project are described as follow [5]:- i) Long Life Time Solar panels are usually robust .The current project requires the solar panel to be robust up to 21 years. Our project uses a solar panel which can last up to 25 years. This will decrease the maintenance cost due to the infrequent part replacement. ii) High Durability and Reliability Solar panels are very durable and reliable. They are expected to be able to withstand Malaysia’s hot and damp climate without sacrificing its output efficiency. iii) Less Maintenance Most of the available solar panels are usually require less maintenance. The only maintenance required is cleaning of the panel surface because solar panels are prone to collect dust on its surface, and this can lead to low energy output. However cleaning the panel’s surface requires small number of workers and it is importance in order to keep the maintenance cost at the minimum. iv) Affordable/Minimum Price When compared to other renewable energy generation method, energy generation using the photovoltaic (PV) system is typically the cheapest. Solar panels/PV arrays installations are very cheap due to the low priced solar- panels and simplicity of mounting them. The low operation