In recent years, research about the application and optimization of PV panels has grown rapidly. Especially for standalone solar systems there have been some problems related to first stages of design and application. Finding the optimum slope of PV panels in order to maximize the absorbed solar radiation is considered as one of the major obstacles. Although in Malaysia there have been some research works about finding of optimal tilt angle, however, this research work aims to start investigation about slope of PV panels for three villages without electricity and prior research. The Liu and Jordan model is applied to find the monthly optimal tilt angle and fixed tilt angle for the application of solar energy in these rural locations. The results demonstrate that the optimal tilt angle in these locations is less than 5°.
Nowadays, the role of solar energy as an appropriate source of renewable energy is growing rapidly. The availability of solar energy, CO_{2} emission reduction, and its low cost are some of the essential factors that make the application of solar energy necessary for rural areas [1]. Although improvement in environmental quality is the main factor for the application of renewable energies; however, there are a few barriers against the utilization of renewable energy projects in remote locations. Some of these obstacles are cost, reliability, and performance. Thus, various types of optimization have been developed to mitigate these problems in rural locations [2].
Optimization of the tilt angle for a solar system is one of the most essential processes which is related to the annual output energy of the whole system [3]. In a system without a sun tracker, the maximum solar power can be received by utilizing the optimum PV tilt angle in a standalone solar unit. The optimized slope of a PV panel could maximize the absorbed solar radiation and minimize the shading for a solar system in rural buildings. Moreover, common calculation for tilt angle of solar panels according to the latitude of location is not accurate [4]. Therefore, the best optimal tilt angle has been adopted from monthly and daily calculations.
In Malaysia, although much research has been conducted into the optimum PV tilt angle [59], however, finding and comparing this angle in various locations in Malaysia has not been discussed. Furthermore, there are some villages without any study in design and application of solar systems. Hence, an investigation into the optimal PV angle in three different villages within Malaysia is presented in this research article by applying the Liu and Jordan model, iHOGA, and Microsoft Office tools for the three case studies.
This study uses the Liu and Jordan model for simulation and optimization in a hybrid renewable energy system. iHOGA is used for this purpose as an accurate tool for many types of optimization of hybrid renewable energy systems, including solar panels [10].
Although there are many methods available for the distribution of direct, diffuse, and total solar radiation, amongst the most common models, the calculation model by Liu and Jordan [11] is applied in this research.
Firstly, solar radiation data on a horizontal surface must be converted to a monthly average clearness index using the Rietveld model [12]. The simplest form of Angstrom type formula is given by:

(1) 
where H/H_{0} is the monthly average amount of the total solar radiation incident on a horizontal surface divided by the monthly average incoming topofatmosphere radiation, n is the number of measured hours of sunshine, N is the determined day length, a is the percentage of H_{0} (solar radiation on a horizontal surface) reaching the earth surface on a completely cloudcovered day, and b is the percentage of H_{0} that is absorbed by the clouds on a completely cloudcovered day.
Many values of a and b were examined by Rietveld [12] and the following equations were obtained:

(2) 

(3) 
The second step of modeling is related to the calculation of the global hourly irradiation (kWh/m^{2}) for the tilted surface of PV modules.
As shown in Figure 1 [8], the hourly total solar irradiance on a tilted surface (I_{tt}) consists of diffuse radiation (I_{d}), beam (direct) radiation (I_{b}), and reflected solar radiation (I_{r}).

Figure 1. Total solar irradiance on a tilted surface.

These components can be expressed by the following equation:

(4) 
where, R_{b}, R_{d}, and R_{r} are defined as follows: R_{b} is the ratio of the direct radiation on the tilted surface to the horizontal direct radiation, R_{d} is ratio of diffuse radiation on the tilted surface to the horizontal diffuse radiation, and R_{r} is the ratio of the reflected radiation on the tilted surface to the horizontal reflected radiation.
Equation (4) can be rewritten by considering I_{b} = I − I_{d} and I_{r} = Iρ as follows:

(5) 
where I is the global horizontal irradiation, I_{d} is the monthly average daily global radiation, and ρ is the ground reflectance which is typically assumed to be 0.2.
The calculation of R_{b} is based on the formula below:

(6) 
In equation (6), there are some major angles related to the solar panels as shown in Figure 2 [13]. β is the tilt angle of the PV module (the angle between the tilted surface and the horizontal), φ is the latitude of the location, γ is the azimuth angle for which a solar system without a sun tracker is considered to be 0° in the Northern Hemisphere and orientated to the south.

Figure 2. Major angles for PV panel.

The hour angle, w_{s}, is the solar hour angle corresponding to the sun set time. Each 15° of the solar hour angle is equivalent to 1 h. The w_{s} is calculated by:

(7) 
where δ is the solar declination angle (angular displacement of the sun to the center of the earth). It is further formulated as below:

(8) 
where, d is the day of the year. If d = 1, for example, it means the first day in January.
Finally, the R_{d} and R_{r} coefficients are expressed by:

(9) 
The collected data in this research for solar radiation on the horizontal surface is conducted based on NASAs Atmospheric Science Data Centre for 22 years (NASA SSE) [14]. Vignola et al. [15] compared meteorological data from various sources and concluded that longterm data like 22 years NASA SSE are better for systems with long lifetime (the life time of this hybrid system is 25 years). The meteorological data are collected from NASA due to availability of longterm and free of charge data. The other climate data such as daily hours of sunshine, temperature, and amount of rainfall are collected from the annual and monthly report of the MMD [16].
Sabah, Sarawak, and Peninsular Malaysia are three federal territories of Malaysia separated by the South China Sea [17]. According to data from the Malaysian Meteorological Department (MMD) [16], the amount of solar radiation reported in these three territories differs.
Therefore, for precise calculation of the tilt angle, three study cases from three federal territories of Malaysia are considered (red points in Fig. 3 [18]). These three study cases are situated in three villages that are in urgent need of electricity. Thus, data preparation and finding optimal tilt angle of solar system in these villages is one of the main novelties of this research.

Figure 3. Three study cases are defined by red points.

As shown in the figure above, the red points are Kampung Opar in Sarawak, Kampung Labi near Beaufort in Sabah, and Kampung Orang Asli Kemandol in Peninsular Malaysia (the West part of Malaysia). All study cases are rural areas without electricity or with only gridoff diesel generators [19, 20]. The detailed information of the above study cases are provided in Table 1.
Village Name  Location  Latitude  Longitude  Elevation 

Kampung Opar  Sarawak  1.44  110.074  81 
Kampung Labi, Beaufort  Sabah  5.316603  115.599947  237 
Kampung Orang Asli kemandol  Selangor  2.94663  101.53896  67 
These villages are without electricity since it is impossible to extend the transmission power line from the grid to these dispersed populated villages because of their locations in rugged places. In Figure 4, the three villages are shown by Google earth 2014.

Figure 4. Locations of study cases (Google earth 2014).

The meteorological data in this study is obtained from the NASA Atmospheric Science Data Center [21]. The monthly average radiation incident on a horizontal surface (kWh/m^{2} per day) for the three abovementioned locations is demonstrated in the graph below:
As shown in Figure 5, Kampong Labi in Sabah territory has the maximum solar radiation among the three various locations. Moreover, Kampong Opar in Sarawak has the lowest potential to absorb the solar radiation which might be due to the abundant rainfall in this area [16].

Figure 5. Monthly solar radiation for three study cases.

In this study, finding a fixed angle for a standalone solar system is investigated by monthly optimized tilt angles. Therefore, the monthly slope of a PV panel is calculated and the results for the three offgrid villages based on the calculation are provided in Figure 6.

Figure 6. Monthly optimum tilt angle in three study cases.

As plotted in the above graph, the optimum slope of PV panels from March to October is 0° for these three villages. Tamer Khatib in his research [3] proves that though optimal monthly tilt angle of PV panels in summer is less than the tilt angle in winter, however, the monthly optimal angle is not negative for Kuala Terengganu in Malaysia. Furthermore, Chang [22] discussed that monthly sunshine duration in the southern sky is more than in the northern sky and consequently there will be a positive angle for solar radiation. He mentioned that there are exceptions for the Suns movement from April to September in lower latitudes.
The month with the lowest irradiation on a horizontal surface in Kampung Opar, Sarawak is in January (Fig. 4). Hence, to maximize the solar irradiation on a tilted surface in this month, the optimal slope of a PV panel is suggested to be set as 27° (Fig. 6). Similarly, the months with the lowest irradiation in Kampong Labi and Kampung Kemandol are November and December. Therefore, the optimum tilt angles for these months in these villages are 31° and 32°, respectively.
A complementary graph to show the ratio of solar radiation on a tilted surface to various tilt angles is illustrated in Figure 7. In this graph, the irradiation for slopes of 0°, 15°, 30°, 45°, 60°, 75°, and 90° for the whole year is provided.

Figure 7. Amount of solar radiation for different tilt angles in three study cases.

In other words, in the above figure, the amount of solar radiation collected by a tilted surface with various angles from 0° to 90° is shown. Obviously, the range of 0° to 15° is suitable to receive the maximum solar radiation in any location in Malaysia. Thus, further detailed discussion for an angle range of 0° and 15° is considered in Figure 8A–C.

Figure 8. (A) Annual solar radiation on PV panel with slope of 0° and 15° in Kampung Opar, Sarawak. (B) Annual solar radiation on PV panel with slope of 0° and 15° in Kampung Labi, Sabah. (C) Annual solar radiation on PV panel with slope of 0° and 15° in Kampung Kemandol, Selangor, Peninsular Malaysia.

As illustrated in Figure 8A–C, although the amount of solar radiation for a slope of 15° is higher than for 0° in the first and last months of the year, however, the total amount of received radiation on a tilted surface with slope of 0° is more than 15° as detailed in Table 2.
Village name  0°  5°  10°  15° 

Kampung Opar, Sarawak  1673.98  1667.26  1650.97  1625.24 
Kampung Labi, Beaufort, Sabah  2046.4  2054.79  2050.6  2033.84 
Kampung Orang Asli Kemandol, Selangor  1824  1823.79  1812.81  1791.14 
Table 2 shows the annual amount of solar radiation on a tilted surface of a PV panel for four angles to detect the best optimum angle in the range of 0° to 15°.
From the data given in Table 2, it can be seen that for Kampung Opar in Sarawak, 0° can be considered as the optimalfixed tilt angle. In Sabah, for the village of Kampong Labi, the fixed slope for a PV panel for maximum solar radiation is around 5° and for Kampung Kemandol in Peninsular Malaysia it is 0°.
In the present study, the essential factors for tilt angle are included. The major issue addressed in this work is a comparison of tilt angle in three study cases from three federal territories in Malaysia. The monthly optimum angle for the three villages is investigated and the fixed slope of a PV panel is explained. Furthermore, an azimuth angle of zero with a direction toward the South is applied for the optimization process.
Muhida et al. [5] analyzed the optimum values for tilt angle and direction of PV panels in Kuala Lumpur for a building integrated photovoltaic (BIPV) system. The authors concluded that the optimal module tilt angle in Malaysia is between 0° and 15°. They used Solar Pro software for their calculation. Sunderan [6] applied a relation between tilt angle, latitude of location, and declination angle to find the monthly optimum slope of a PV panel in Ipoh over one year. His suggestion is convenient for a PV panel with a sun tracking system.
By using PVSYS50, Excel, and Matlab tools, other authors in [9], discussed the optimum tilt angle in Kuala Lumpur. The result indicated that a PV slope of 15° facing the south is the best choice. This work was undertaken by the Solar Energy Research Institute (SERI), National University of Malaysia. Moreover, solar irradiance for a tilt angle range between −17.16° and 29.74° was discussed in [8]. The optimum slope for a fixed type of PV module was not proposed in this article.
Khatib et al. [3] calculated the suitable slope of a PV panel for their research work based on the Liu and Jordan Model. In this study, the monthly optimal tilt angle for a hybrid system in Kuala Terengganu was less than 23°. Finally, in other research, the optimum tilt angle in Kuala Lumpur was defined as 10° [7]. The mathematical method of this research has been based on Coopers equation and Visual Basic Applications (VBA) in Microsoft Excel.
Table 3 explains previous research works on this issue by classification of case study, monthly optimum angle, optimumfixed tilt angle, applied tools, method, and orientation of the PV. In most of the recent works concerning optimization, the fixed tilt angle is proposed due to the importance of using a fixed slope for PV panels in remote locations. Sunderan [6], Khatib et al. [23] and Daut et al. [8] in their articles discussed fixed and monthly optimum slopes.
Papers  Case study  Monthly optimum angle  Optimumfixed tilt angle  Applied tool  Method  Orientation of PV 

Muhida et al. [5]  Kuala Lumpur  –  1° to 15°  Solar Pro  No difference  
Sunderan [6]  Ipoh, Perak  Provided  0° or tilt angle = latitude of location  –  Collares Pereira and Rabl  Facing south when tilt angle is positive and facing north when tilt angle is negative 
Elhassan et al. [9]  Kuala Lumpur  –  15° to 30°  PVSYS50, Excel, Matlab  –  East, North 
Daut et al. [8]  Perlis  Provided  –  –  –  – 
Khatib et al. [3]  Kuala Terengganu  Provided  0° to 23°  Matlab  Liu and Jordan  – 
Omidreza Saadatian et al. [7]  Kuala lumpur  –  10°  Excel  Coopers equation  – 
According to Table 3, the calculated optimum tilt angle in this research work is assumed to be correct. As shown in Table 3, previous research works concluded that optimum tilt angle according to the monthly calculation in Malaysia has been positive and facing south. Therefore, in this research finding, the optimal tilt angle for three villages in Malaysia has been according to the monthly positive slope of the PV panel.
Finding the optimum slope of a PV panel to maximize solar radiation on a tilted surface in Malaysia has become an important challenge in recent years. Therefore, the variable and fixed optimal tilt angle for each month over a complete year using the Liu and Jordan method is presented. Moreover, the following results and findings are concluded:
None declared.
Published on 01/06/17
Submitted on 01/06/17
Licence: Other
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