Performance optimization of a photovoltaic-diesel hybrid power system for Yanbu, Saudi Arabia

: In the rural areas of Saudi Arabia, which are not connected to the national grid, electricity is supplied mainly from diesel generators. This is not just a non-renewable energy source, but it has also resulted in environmental damage and may be hazardous to human health. In order to mitigate the problem, integration with a solar photovoltaic system is proposed. A Photovoltaic-Diesel Hybrid System (PvDHS) was designed, analyzed, and optimized based on the climate data of Yanbu, Saudi Arabia. Measured local solar insolation and climate data were used in the Hybrid Optimization Model for Electric Renewables (HOMER) software with different system components and configurations in order to optimize the design that yields the best energy cost. A system consisting of a 3 kW photovoltaic system, a 2 kW diesel engine, a 1 kW converter, and 14 kWh batteries were identified to be the most cost-effective for the average daily electricity demand of 10.5 kWh. The total Net Present Cost (NPC) of this system is $17,800, a reduction of 50% over the $35,770 cost of the diesel-only system. The PvDHS useful electrical energy is found to be $0.36/kWh, while the Cost of Energy (COE) of the diesel-only system is $0.72/kWh. The system is expected to pay for itself in 2.8 years and reduce CO 2 emissions by 8110 kg per year.


Introduction
Over 6 million people, or 17 percent of the population in Saudi Arabia, live in rural areas that depend on diesel generators for electricity [1]. These regions have a limited connection to the national grid. Expanding the grid to these regions is impractical due to low energy consumption, limited economic activity, and a sparse population. On the other hand, diesel generators utilization has to overcome challenges of high fuel and maintenance costs and greenhouse gas emissions over a short life span [2,3]. Numerous studies have been performed to determine the financial, technical, and environmental feasibility of utilizing renewable energy to power rural and off-grid communities [4]. Some of these studies were carried out in Jordan [5], the east coast of Saudi Arabia [6], and Nigeria [7], which all point to significant penetrations of PV systems for electricity demands. A critical review of the state-of-art PV hybrid system shows that arid climate is the most studied region when it comes to applying PV hybrid systems [8]. Solar photovoltaic systems may be installed and configured in a variety of configurations, including stand-alone, grid-connected, or hybrid designs.
Grid-connected or interactive PV systems are connected to the electrical power grid of a utility through an inverter, which converts the direct current (DC) of the power produced by the photovoltaic array to the alternating current (AC) [9,10]. Any surplus energy produced by the array is sent into the power grid, where it is credited to the consumer's account by the utility provider. When a grid-tied system has a net-metering policy in place, energy may flow both ways.
A study on stand-alone systems conducted in Iran [11] is just one example of the numerous research conducted worldwide. Stand-alone photovoltaic (PV) systems generate electricity without the need for a power grid. It is often used when a grid connection is not economically viable and accessible [12]. The photovoltaic array, inverter, charge controller, battery, and load controller are the main components of a stand-alone photovoltaic system. Solar energy becomes more cost-effective and reliable when coupled with backup power sources or integrated with another power source (hybrid system) [13,14].
In off-grid rural areas, a photovoltaic-diesel hybrid system is one of the most cost-effective options [15]. An example of a study on this can be found in [16]. Computer modeling is one technique for designing and optimizing the performance of solar photovoltaic systems. Among these modeling tools are TRANSYS [17] and Homer. HOMER modeling and simulation assists in finding the optimum design for a renewable energy system. Numerous studies have used the HOMER software to determine the optimal system confirmation and component sizing in order to improve the economics of the system [18]. HOMER has been used to predict and optimize the performance of photovoltaic systems in a variety of locales and climatic groups throughout the world, including the tropical climate of Malaysia [18], the dry climates of Libya [19] and Pakistan [20], and the humid tropical island of Sri Lanka [21]. With HOMER, the sensitivity analysis is used to evaluate a variety of operating conditions and factors, including fuel price, solar resource quality, and a variety of load sizes. Cai et al, the study of [22] examined the size of an off-grid hybrid system that included photovoltaics, a diesel generator, and a battery. The solar PV-diesel system costs 22.2 percent less than the diesel-only system and emits nearly 60 percent less greenhouse gas. In [23], the author developed the Hybrid Optimization technique, which designs and optimizes photovoltaic-diesel hybrid systems, by utilizing Genetic Algorithms. The PV and the diesel systems alone were compared, and the findings suggest that PVdiesel hybrid systems are more cost-effective and reliable. Rehman and Al-Hadhrami [24] conducted an optimization and economic analysis of a Saudi Arabian hybrid solar photovoltaic-diesel-battery system. This research demonstrates that it is technically feasible to convert some diesel generators to solar energy and positively affect rural areas.
The climatic region has significant effects on the efficiency of PV and PV hybrid systems [25]. The purpose of this research is to design and optimize a site-specific photovoltaic-diesel hybrid system (PvDHS) for usage as a power source in Yanbu, Saudi Arabia. A number of previous studies described in this section were done in Saudi Arabia, but none were done in this location. Measured local climate data fed to HOMER software is used to simulate and optimize stand-alone photovoltaicdiesel hybrid systems. The aim is to identify the best system architecture to meet the typical energy demand of small residential buildings in the remote areas surrounding Yanbu.

Methodology
HOMER software is used with the input data of Yanbu, Saudi Arabia's climate information to optimize PV-diesel hybrid electrification. A search space sub-program was utilized to find the best number of batteries and the optimal PV, converter, and diesel generator size. The startup cost and operation are based on the International Renewable Energy Agency's 2018 Renewable Power Generation Costs. The designers and solar industry specialists recommended that the PV panels have a 25-year lifespan [26]. The deterioration rate of the PV cells is estimated to be 0.5 percent per year, and the system derating factor is 90 percent [27]. The simulation was based on a discount rate of 5% and an inflation rate of 2%. Figure 1 shows a typical PV-diesel hybrid system in which PV arrays and batteries are linked to the system's DC side through an AC converter. The AC generator and grid extension are connected to the system AC side through the AC bus. The model also has a battery storage backup system aside from the PV and diesel generator power sources.    The solar insolation in this location is among the greatest in the country, averaging 2400 kWh/m 2 /year [28]. The highest and lowest air temperatures are 40.4 ℃ and 14.2 ℃, respectively. Rainfall is very rare, with about eight days a year. Most rains happen during the cold seasons. Yanbu experiences daylight hours between 10.7 and 13.6 hours year-round. The average humidity is 545. However, during the months of high irradiation, the temperature rises, which reduces the efficiency of the PV array. As a result, the temperature of the solar cells can rise much over the standard test settings of 25 ℃ and can approach 70 ℃, as indicated in Figure 4. This high temperature causes the voltage to drop precipitously while the current increases slightly, resulting in a reduction in the amount of power produced. The optimized sizing of solar PV systems necessitates the execution of several critical processes. The energy demand, or the quantity of energy required to power the daily load, must be thoroughly analyzed. The simulation requires a number of input data, including solar radiation, energy demand, peak load, system components, and efficiency. The electrical load is the average amount of electricity consumed by a home in this area, which is 10.5 kWh per day with a peak demand of 2.21 kW. This community's load changes from month to month, as seen in Figure 5 below. The 3 kW solar PV system powers all loads during normal operating conditions and maintains the battery at full charge using an inverter/charger or conventional charger controller. When there is no solar PV output on cloudy days or at night, the inverter disconnects from PV and uses the energy stored in the batteries to power the load. If the battery has to be charged and the solar PV produces insufficient power, electricity is supplied by the diesel generator. The suggested PV module peak power output and efficiency are 335 W and 21.0%, respectively. The module specifications are listed in Table 1. The initial capital cost is $1300/kWh, whereas the replacement and maintenance costs are $1200 and $15. Table 1 shows the specifications of the solar panels utilized. An inverter is required to convert the DC power produced by the PV arrays to AC power. The inverter is stand-alone and has a 15-year lifespan with 95% efficiency for the inverter and 90% efficiency for the rectifier. This inverter's capital cost was $750/kW, while the replacement cost was $700. The operating and maintenance costs associated with the inverters were considered because they are so negligible. As a backup supply, the diesel generator supplements the PV power source. The generator capacity was set at 2 kW in this simulation. The initial cost was $1000/kWh, with an $800/kWh replacement cost and a $0.040/kWh maintenance cost.This is because a solar PV power generation is intermittent and a generator capacity is limited, hybrid solar PV-diesel systems work best when combined with energy storage devices. This model uses Trojan 6 V deep-cycle lead-acid batteries. The nominal maximum capacity of this battery is 2.37 kWh and 396 Ah. The stage of charge is in the range of 30% to 100%, and it has a round-trip efficiency of 85%. The lifetime of the battery is ten years, and the lifetime throughput is 1075 kWh.
The PV panels must be perpendicular to the sun and clear of shadows to capture the most energy. As shown in Figure 6, several different tilt angles and azimuth angles were compared. This study employed an azimuth angle of 0° due south and a tilted angle of 25°, which is nearly equivalent to the project site's latitude (Yanbu).

Results and discussion
The simulation results show that a hybrid solar PV-diesel with battery storage is the best solution for supplying the desired load. Three configurations were simulated; PV-diesel generator battery (PV-G-B), PV battery (PV-B), and diesel generator alone (G). In order to meet the required load, the sizes of each component were varied, and the energy cost and renewable energy were calculated. As shown in Table 2, the optimum combination with the lowest net present cost consists of a 3-kW PV, 2-kW generator, six batteries, and a 1-kW converter. The optimum PV-diesel-battery hybrid system costs $7,450.00, which includes the PV, generator, converter, and related design installations. Operational cost is $7.60/kWh, and NPC is $17270. These results in the lowest COE of $0.366/kWh, while PV contributes 84% of the load demand. The annual production of the PV-G-B system summed up to 4,716 kWh, with a capacity factor of around 18%.  Figure 7 shows the average monthly electric load share of the PV and diesel generator. This graph indicated that the PV components could provide all power demand in January, February, March, April, and November. The diesel generator is needed to supplement the PV in order to meet the need for power during the other months.The renewable fraction is 84% out of the 5318 kWh produced in a year.  Figure 8 shows the monthly PV electric production versus electrical load. Between January and April, and in November, the power production from PV exceeds the load. These are due to the fact that during the cold months, power demand by air-conditioning is reduced significantly, while solar radiation remains relatively high. To provide a more detailed insight of the power productionconsumption on a weekly basis, Figure 9 depicts a solar PV output and consumption in the last week of April and early May, where the load starts to surpass the PV power output. Additionally, it demonstrates that throughout the early and late hours of daylight, the PV power output exceeds the instantaneous loads.   According to this graph, the battery has the greatest net present cost of the system, followed by the PV and the diesel generator. Capital and replacement cost made up the majority of NPC. The PV panels take about 50% of the capital cost, but the replacement cost is 70% battery-related. The operating cost is less than a quarter of capital and replacement costs and mainly constitute battery and diesel generators. Fuel cost is about $2000, and the salvage cost is at the negative spectrum. The sum of NPC for this PV-DHS is $17800.   It shows that during the infancy stage, even though the initial cost of a diesel-only system is way lower than the PVDHS, the later system is significantly less costly to run throughout the simulated period. The hybrid system's operating costs increase significantly on the fifth, tenth, and twenty-third years of life of the system due to battery and photovoltaic module replacement, although this is still less than the running expenses of a diesel-only system.  Figure 12 displays a cash flow and revenue projection of the hybrid system for a period of 25 years, grouped by component and cost type. The net present cost and energy cost of the PV-diesel hybrid system are determined to be 50% cheaper than that of diesel alone. These results pointed out that the payback period is 2.8 years with a 30% internal rate of return.
Sensitivity analysis and repeated optimization were used to detect uncertainties and evaluate the simulation's unexpected behavior when fuel prices, photovoltaic efficiency losses, equipment prices, and environmental factors varied [29]. For example, high ambient temperatures decrease PV output voltage by 10%, while soiling can reduce output current by 10-30% [30]. On the other hand, Diesel generators have a cheap capital cost but a high fuel cost, which significantly impacts their adoption. In Saudi Arabia, diesel fuel prices have varied from $0.25/Liter to $0.58/liter [31]. A sensitivity analysis was conducted on the gasoline price, with values ranging from $0.25/Liter to $1.0/Liter in increments of $0.25/Liter examined. The grid expansion costs are estimated in this study using the software's default parameters. The initial construction cost, operating, and maintenance expenses per kilometer are $8,000 and $45 per year, respectively, assuming a grid power purchase rate of $0.048/kWh. A 15% tax is being considered. According to the model's assumptions, the predicted photovoltaic hybrid system will have a CF of between 18 and 25%. This means the 3 kW PV Plant would generate between 4716 and 5,524 kWh of energy per year. The optimization indicated that grid extension is preferable or break-even when the grid connecting point is within 1.07 kilometers, as shown in Figure 13.  When fossil fuels are burned, greenhouse gases are released into the Earth's atmosphere. Diesel generators use the combustion of fossil fuel. The simulation yields that PVDHS can avoid between 8110 and 11050 kg of CO2 per year. Table 3 compares the PVDHS emissions with those of a dedicated diesel generator system.

Conclusions
A photovoltaic-diesel hybrid electrification system was developed based on Yanbu, Saudi Arabia's climate data, to serve the grid-disconnected rural areas of this region, in which electricity is supplied mainly by diesel generators. The aim is to decrease reliance on diesel generators and increase the use of green buildings, which minimize air pollution associated with diesel combustion and provide a more reliable power system. HOMER software was utilized in the design, analysis, and optimization. The system should serve a daily electrical load of 10.5 kWh with a peak demand of 2.21 kW. The architecture of the optimized PV hybrid system incorporates 3 kW solar PV, 2 kW diesel generators, a 1 kW power converter, and 14.2 kWh batteries. The system produces 5957 kWh per year. The solar photovoltaic component can produce 80% of total energy, leaving the diesel generator component to provide 20%. Although the hybrid system has a greater initial capital cost of $7450 than the dieselonly system ($1000), the NPC of $17,800 is much less than the diesel-only system NPC of $35,770. The system will pay for itself in less than three years, and it will reduce CO2 emissions by 8110 kg per year, which is a significant reduction.