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Exploring Optimal Charging Strategies for off-Grid Solar PV Systems: A Comparative Study on Battery Storage Techniques

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13 August 2023

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14 August 2023

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Abstract
The paper concludes that the choice of charging strategy depends on the specific requirements and limitations of the off-grid solar PV system, and that a careful analysis of the factors that affect performance is necessary to identify the most appropriate approach. Also provides valuable insights for designing and optimizing off-grid solar PV systems, which can help to improve the efficiency, reliability, and cost-effectiveness of these systems.
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1. Introduction

The use of off-grid solar photovoltaic (PV) systems has increased due to the global shift towards renewable energy. These systems offer a dependable and sustainable source of electricity to remote areas that lack grid connectivity [1,2,3]. To ensure their success, off-grid solar PV systems require an efficient energy storage system, usually in the form of a battery. The battery storage system's performance is influenced by several factors, including the battery charging strategy [4,5,6], which has a significant impact on the overall off-grid solar PV system performance [7]. Various battery charging strategies are employed in off-grid solar PV systems, each with their own advantages and disadvantages. This study compares different battery charging strategies for off-grid solar PV systems, focusing on their effects on system performance and battery life. Off-grid solar PV systems are increasingly popular in remote areas where grid connectivity is unreliable or nonexistent [9]. These systems use batteries to store excess solar energy generated during the day, which is used to power devices and appliances at night or during overcast weather conditions [10]. The battery storage system plays a critical role in the performance and reliability of off-grid solar PV systems, ensuring a consistent and reliable supply of electricity [11,12,13].
Effective battery charging strategies are essential to ensure optimal battery performance and longevity in off-grid solar PV systems [14]. There are several battery charging strategies available, such as constant voltage, constant current, pulse charging, and float charging. Each strategy has its advantages and disadvantages and can impact battery performance, system efficiency, and overall system cost [15,16].
Off-grid solar PV systems are self-contained renewable energy systems that generate electricity using solar panels and store excess energy in batteries for later use [17]. Unlike grid-tied solar PV systems, off-grid systems are not connected to the utility grid and are often used in remote areas where grid electricity is not available or is unreliable [18,19]. Off-grid solar PV systems consist of several components, including solar panels, batteries, charge controllers, inverters, and sometimes backup generators. Solar panels generate DC electricity from sunlight, which is then converted into usable AC electricity by the inverter [20,21]. The batteries store excess energy generated by the solar panels for later use when there is no sunlight available. The charge controller regulates the flow of energy between the solar panels and batteries to prevent overcharging or undercharging [22,23,24]. Off-grid solar PV systems can be designed to meet different energy needs, from powering a small cabin or RV to providing electricity to an entire village. The size and capacity of the system depend on several factors, including the energy demand, location, available sunlight, and budget [25]. Off-grid solar PV systems offer several benefits, including lower energy costs, independence from the grid, and reduced environmental impact [26]. However, they also require careful planning, design, and maintenance to ensure reliable and efficient performance. The optimization of battery charging strategies is crucial for improving the performance and efficiency of off-grid solar PV systems [25].

2. Materials and Methods

Battery storage is a critical component of off-grid solar PV systems because it allows for the storage of excess energy generated by the solar panels for later use when there is no sunlight available. In other words, it enables energy to be stored for use during nighttime or on cloudy days [27]. Battery storage allows off-grid solar PV systems to be more reliable and efficient by providing a stable source of power even when solar panels are not generating electricity. Without battery storage, off-grid solar PV systems would only be able to provide electricity during the day, which may not meet the energy demand of the user [28]. Moreover, battery storage can help reduce the size and cost of off-grid solar PV systems by reducing the need for larger solar panels or backup generators. This is because batteries can store excess energy during peak sunlight hours and release it when energy demand is high, reducing the need for additional energy-generating components [29]. Battery storage also enables off-grid solar PV systems to be more sustainable and environmentally friendly by reducing the dependence on fossil fuels for backup power [4]. This is particularly important in remote areas where grid electricity is not available, and reliance on diesel generators can be expensive and environmentally damaging [30].
There are several battery charging strategies used in off-grid solar PV systems, and each strategy has a different impact on the system's performance. Some of the commonly used battery charging strategies include [31]:
(1) Constant voltage charging: This strategy involves charging the battery at a constant voltage level until the battery is fully charged. This strategy is simple and cost-effective, but it can lead to overcharging and reduce battery life.
(2) Pulse charging: This strategy involves charging the battery with short bursts of high current followed by a period of rest. This strategy can improve the battery life by preventing sulfating, but it may also increase the risk of overcharging [32].
(3) Float charging: This strategy involves maintaining a constant voltage level to keep the battery fully charged. This strategy is ideal for batteries that are not frequently used, but it may not be suitable for batteries that are subjected to heavy use [33].
(4) Smart charging: This strategy involves using advanced algorithms to monitor the battery's state of charge and adjust the charging voltage and current accordingly. This strategy can optimize battery charging and improve battery life, but it can be more complex and expensive [27].
The choice of battery charging strategy depends on several factors, including the battery type, temperature, and state of charge. The wrong choice of strategy can lead to poor system performance, reduced battery life, and increased maintenance costs [34,35]

3. Type of battery using in solar system

Solar systems typically use deep cycle batteries to store energy generated from solar panels. These batteries are designed to discharge a large amount of energy over an extended period, which makes them ideal for solar power systems that require a steady stream of energy [36]. Deep cycle batteries come in several different types, including lead-acid, lithium-ion, and nickel-cadmium [37]. The most used deep cycle battery for solar systems is the lead-acid battery because it is affordable, reliable, and widely available. However, lithium-ion batteries are becoming increasingly popular due to their higher energy density and longer lifespan [38].
There are several types of batteries that can be used in a solar system, but the most used are:
(1) Lead-acid batteries: These are the most common type of batteries used in solar systems. They are reliable, durable, and have been in use for many years. They are also relatively inexpensive [39].
(2) Lithium-ion batteries: These batteries are becoming increasingly popular due to their high energy density and long lifespan. They are more expensive than lead-acid batteries, but they have a longer lifespan and are more efficient [39].
(3) Nickel-cadmium batteries: These batteries are known for their durability and ability to withstand extreme temperatures. They are more expensive than lead-acid batteries, but they are a good option for harsh environments [40].
(4) Flow batteries: These batteries use a liquid electrolyte and can store large amounts of energy. They are more expensive than other types of batteries but can be a good option for large-scale storage systems [41].

4. Characteristics of Battery charging using in off grid

When charging batteries using an off-grid system, there are several characteristics that are important to consider:
(1) Charging voltage: The charging voltage must be carefully controlled to prevent overcharging or undercharging the batteries. Too much voltage can damage the battery, while too little voltage may not fully charge the battery [42].
(2) Charge current: The current supplied to the battery during charging must also be carefully controlled. If the current is too high, the battery can overheat and be damaged. If the current is too low, the battery may not fully charge.
(3) Charging time: The charging time depends on the capacity of the battery and the charging rate. It is important to allow enough time for the battery to fully charge without overcharging it [43].
(4) Temperature: The temperature of the battery and the charging environment can affect the charging process. Batteries should be charged at a moderate temperature, ideally between 20°C and 25°C [44].
(5) Battery type: Different types of batteries have different charging requirements. For example, lead-acid batteries require a different charging method than lithium-ion batteries.
(6) Charging controller: An off-grid charging system should include a charging controller to regulate the charging voltage and current, and to prevent overcharging and undercharging of the batteries [45].
(7) Charging source: The charging source can be solar panels, wind turbines, generators, or a combination of these. The charging source must be able to provide enough power to fully charge the batteries [46].
Here are some tables summarizing the characteristics of battery charging using an off-grid system:
Table 1. Charging voltage and current characteristics for different battery types.
Table 1. Charging voltage and current characteristics for different battery types.
Battery Type Charging Voltage Charging Current
Lead-acid 13.8 - 14.4 V 10 - 20% of C
Lithium-ion 4.2 V per cell 0.5 - 1 C
Nickel-cadmium 1.5 - 1.6 V per cell 0.1 - 0.3 C
* Note: C refers to the capacity of the battery in ampere-hours (Ah)
Table 2. Charging temperature recommendations for different battery types.
Table 2. Charging temperature recommendations for different battery types.
Battery Type Charging Temperature Recommended Charging Controller
Lead-acid 20 - 25°C PWM or MPPT with float charging
Lithium-ion 10 - 30°C MPPT with constant current
Nickel-cadmium 10 - 40°C Constant current with temperature sensing
* Note: Extreme temperatures (too high or too low) can damage the battery and reduce its lifespan.

5. Comparative studies on battery charging strategies in off-grid solar PV systems

Off-grid solar PV systems are becoming increasingly popular in areas where there is no access to grid electricity [48]. One of the most important components of these systems is the battery, which stores solar energy for use when the sun is not shining [49]. There are different strategies for charging batteries in off-grid solar PV systems, and here are some comparative studies on these strategies:

5.1. Constant voltage charging vs. MPPT charging

A study conducted by researchers in Malaysia compared the performance of lead-acid batteries in off-grid solar PV systems using constant voltage charging and MPPT charging [50]. The results showed that MPPT charging improved the efficiency of the charging process and increased the lifespan of the batteries compared to constant voltage charging [51].
Table 3. Constant voltage charging vs. MPPT charging.
Table 3. Constant voltage charging vs. MPPT charging.
Charging Strategy Charging Temperature Recommended Charging Controller
Definition Supplies a fixed voltage to the battery during the charging process. Adjusts the voltage and current supplied to the battery to maximize the power output of the solar panel.
Efficiency Lower efficiency due to the risk of overcharging or undercharging the battery. Higher efficiency due to the ability to adjust the voltage and current to match the battery's needs.
Charging Time Longer charging time due to the lower efficiency of the charging process. Shorter charging time due to the higher efficiency of the charging process.
Battery Lifespan Reduced battery lifespan due to the risk of overcharging or undercharging. Increased battery lifespan due to the ability to prevent overcharging or undercharging.
Complexity Simple and easy to implement More complex and requires additional components such as an MPPT controller.
Cost Lower cost due to the simplicity of the charging strategy Higher cost due to the additional components required.
MPPT charging is a more efficient and effective charging strategy for off-grid solar PV systems compared to constant voltage charging [52]. However, it is also more complex and requires additional components, which can increase the cost of the system.

5.2. Float charging vs. cycle charging

A study conducted in India compared the performance of lead-acid batteries in off-grid solar PV systems using float charging and cycle charging. The results showed that cycle charging was more effective in maintaining the battery capacity and increasing its lifespan compared to float charging [51].
Table 4. Characteristics float charging and cycle charging.
Table 4. Characteristics float charging and cycle charging.
Characteristics Charging Temperature Recommended Charging Controller
Purpose Maintains battery at full charge Recharges battery from partial discharge
Voltage Lower voltage to maintain battery charge Higher voltage to fully recharge battery
Charging time Longer charging time Shorter charging time
Battery lifespan Longer lifespan due to lower voltage Shorter lifespan due to higher voltage.
Efficiency Higher efficiency as it maintains full charge Lower efficiency as it requires higher voltage to recharge battery
Complexity Simple and easy to implement More complex and requires monitoring to prevent overcharging
Float charging uses a lower voltage to maintain battery charge, resulting in a longer battery lifespan and higher charging efficiency. Cycle charging, on the other hand, uses a higher voltage to fully recharge batteries from partial discharge, resulting in a shorter battery lifespan and lower charging efficiency [53,54].
While float charging is simpler and easier to implement, cycle charging requires monitoring to prevent overcharging and ensure optimal charging performance. Ultimately, the choice between float charging and cycle charging depends on the specific needs and requirements of the off-grid battery system [55].

5.3. Battery temperature management

A study conducted in China compared the performance of lithium-ion batteries in off-grid solar PV systems with and without battery temperature management [56]. The results showed that battery temperature management significantly improved the charging efficiency and increased the lifespan of the batteries [57].
Table 5. Battery temperature management.
Table 5. Battery temperature management.
Performance Metrics Without Battery Temperature Management Recommended Charging Controller
Battery lifespan Shorter lifespan due to high operating temperatures Longer lifespan due to optimal temperature control
Charging efficiency Lower efficiency due to high operating temperatures Higher efficiency due to optimal temperature control
Performance degradation Faster degradation due to high operating temperatures Slower degradation due to optimal temperature control
Battery capacity Reduced capacity due to high operating temperatures Maintained capacity due to optimal temperature control
Implementing battery temperature management in off-grid solar PV systems can improve the performance and lifespan of lithium-ion batteries [58]. Without temperature management, high operating temperatures can lead to a shorter battery lifespan, lower charging efficiency, faster performance degradation, and reduced battery capacity. With optimal temperature control, lithium-ion batteries can operate at their best performance levels, resulting in a longer lifespan, higher charging efficiency, slower performance degradation, and maintained battery capacity [59].
Battery temperature management can be achieved through active cooling and heating systems or through passive insulation. While implementing battery temperature management can be more complex and expensive, it is important to consider the potential benefits in terms of battery performance and lifespan when designing and implementing off-grid solar PV systems [60].
Battery capacity and charging rate. A study conducted in Nigeria compared the charging characteristics of lead-acid batteries with different capacities and charging rates in off-grid solar PV systems. The results showed that higher charging rates reduced the charging time but also increased the risk of overcharging and reduced battery lifespan [61].

6. Battery technology

A study conducted in the United States compared the performance of lead-acid batteries and lithium-ion batteries in off-grid solar PV systems. The results showed that lithium-ion batteries had higher charging efficiency and longer lifespan compared to lead-acid batteries [62].
In summary, the choice of battery charging strategy in off-grid solar PV systems depends on various factors such as battery type, capacity, charging rate, and temperature management [63]. Comparative studies have shown that MPPT charging, cycle charging, and battery temperature management can improve the charging efficiency and increase the lifespan of the batteries [64]. Additionally, newer battery technologies such as lithium-ion batteries may offer better performance than traditional lead-acid batteries [65]
Table 6. Battery temperature management.
Table 6. Battery temperature management.
Battery Technology Without Battery Temperature Management Recommended Charging Controller
Lead-acid Low cost, proven technology, wide availability Shorter lifespan, requires regular maintenance, heavy and bulky
Lithium-ion High energy density, longer lifespan, lighter and smaller Higher cost, requires careful management to prevent overheating, limited availability
Nickel-cadmium Long lifespan, high cycle life, wide temperature range Higher cost, contains toxic materials, lower energy density
Flow batteries Scalable, longer lifespan, high efficiency Higher cost, less mature technology, more complex
Sodium-ion Low cost, longer lifespan, high energy density Less mature technology, limited availability, may require special handling
The choice of battery technology for off-grid systems depends on the specific needs and requirements of the system. Lead-acid batteries are a common choice due to their low cost and wide availability, but they have a shorter lifespan and require regular maintenance [66]. Lithium-ion batteries have a higher energy density and longer lifespan, but they are more expensive and require careful management to prevent overheating [67].
Nickel-cadmium batteries have a long lifespan and high cycle life, but they contain toxic materials and have a lower energy density [68]. Flow batteries are a newer technology with scalability and high efficiency advantages, but they are more expensive and less mature. Sodium-ion batteries have a low cost and longer lifespan, but they are a less mature technology and may require special handling [62].
Ultimately, the choice of battery technology for off-grid systems depends on the specific needs and requirements of the system, including factors such as cost, performance, lifespan, and availability.

6.1. Design batteries in off-grid solar PV systems

Designing batteries in off-grid solar PV systems requires careful consideration of several factors, including the energy needs of the system, the capacity and characteristics of the batteries, the charging method, and the system's overall efficiency. Here are some steps to follow when designing batteries in off-grid solar PV systems:
Determine the energy needs: Calculate the amount of energy needed to power the load(s) in the system, taking into account factors such as the time of day, weather conditions, and seasonal variations [67].
(1) Choose the battery capacity: Select a battery with sufficient capacity to meet the energy needs of the system. Consider factors such as the expected daily energy use, the battery discharge rate, and the desired depth of discharge (DOD).
(2) Select the battery technology: Choose a battery technology that meets the specific requirements of the system, taking into account factors such as cost, performance, and lifespan [28].
(3) Determine the charging method: Decide on the appropriate charging method for the system, such as constant voltage charging or MPPT charging. Consider the efficiency of the charging method and its impact on the lifespan of the batteries [64].
(4) Choose the charge controller: Select a charge controller that is compatible with the battery technology and charging method, and that can regulate the charging voltage and current to prevent overcharging or undercharging [69].
(5) Install temperature management: Install temperature management systems to maintain optimal operating temperatures for the batteries and prevent overheating or overcooling.
(6) Monitor the system: Regularly monitor the performance of the battery system to ensure optimal efficiency and lifespan [70]. Measure the battery voltage and current, as well as the state of charge (SOC) and state of health (SOH) of the batteries [51].
By following these steps, we can design a battery system for off-grid solar PV systems that meets the energy needs of the system, while maximizing efficiency and ensuring optimal battery lifespan [25].

6.2. Description of the testbed and experimental setup of batteries in off-grid solar PV systems

The testbed and experimental setup for batteries in off-grid solar PV systems typically involves a simulated off-grid environment where batteries are subjected to various loads and charging conditions that replicate the real-world conditions they will experience in the field [74].
The testbed typically includes solar panels, charge controllers, inverters, and various loads such as lights, appliances, and other electrical devices [50]. The batteries are connected to the charge controller, which regulates the charging and discharging of the batteries based on the energy requirements of the system [39].
The experimental setup may involve testing various types of batteries, including lead-acid, lithium-ion, and other chemistries, to evaluate their performance and durability under different conditions. The batteries may be tested for their capacity, cycle life, DOD, temperature range, and other key parameters [63].
To evaluate the performance of the batteries, data loggers may be used to measure the voltage, current, and temperature of the batteries and other components of the system. The data collected can be used to analyze the performance of the batteries under different loads and charging conditions and to identify any issues or limitations of the batteries [67].
The experimental setup may also involve testing the batteries under different weather conditions, such as varying levels of sunlight, temperature, and humidity. This can help to identify any performance issues that may arise under different environmental conditions and to optimize the operation of the off-grid solar PV system [75].
Overall, the testbed and experimental setup for batteries in off-grid solar PV systems are designed to provide a controlled and realistic environment for testing and evaluating the performance and durability of batteries under real-world conditions. The data collected can be used to optimize the design and operation of off-grid solar PV systems and to inform the selection of batteries for different applications [76].

6.3. Comparative analysis of different battery charging strategies

There are several different battery charging strategies that can be used in off-grid solar PV systems, each with their own advantages and limitations. A comparative analysis of these strategies can help to identify the most appropriate approach for a given application [77].
(1) Constant Voltage Charging: This strategy involves maintaining a constant voltage across the battery terminals during the charging process. This is a simple and effective approach, but it can result in overcharging if the voltage is set too high [44].
(2) Constant Current Charging: This strategy involves maintaining a constant current into the battery during the charging process. This approach can be more efficient than constant voltage charging, but it can also result in overcharging if the current is set too high [1].
(3) PWM Charging: Pulse Width Modulation (PWM) charging involves adjusting the pulse width of the charging current to maintain a constant voltage across the battery terminals. This approach can be more efficient than constant voltage charging and is less likely to result in overcharging [78].
(4) MPPT Charging: Maximum Power Point Tracking (MPPT) charging involves adjusting the voltage and current of the charging current to maximize the power output of the solar panels. This approach can be more efficient than other charging strategies, especially in low-light conditions.
(5) Hybrid Charging: Hybrid charging involves combining two or more of the above charging strategies to optimize the charging process. For example, MPPT charging can be combined with PWM charging to provide a more efficient and effective charging strategy [79].
The choice of charging strategy will depend on the specific requirements and limitations of the off-grid solar PV system [48]. Factors such as battery chemistry, capacity, load profile, and environmental conditions will all influence the optimal charging strategy [80]. A comparative analysis of the different strategies can help to identify the most appropriate approach for a given application.

6.4. Evaluation of the impact of charging strategies on battery life and system performance

The impact of charging strategies on battery life and system performance can be evaluated based on several factors, including the battery capacity, charging efficiency, DOD (depth of discharge), cycle life, and system cost-effectiveness [81].
  • Battery Capacity: Different charging strategies can affect the capacity of the battery, either by reducing the maximum capacity or by reducing the effective capacity due to overcharging or undercharging [82].
  • Charging Efficiency: The efficiency of the charging process can affect the performance and longevity of the battery, as well as the overall system efficiency. Higher charging efficiency can result in a longer battery life and more consistent performance.
  • DOD (Depth of Discharge): The depth of discharge of the battery can affect its cycle life and performance. Charging strategies that reduce the DOD can help to extend the battery life and improve system performance [83].
  • Cycle Life: The cycle life of the battery is a measure of how many charge and discharge cycles it can withstand before losing significant capacity. Charging strategies that reduce the number of cycles or reduce the depth of discharge can help to extend the cycle life of the battery.
  • Cost-Effectiveness: The cost-effectiveness of the charging strategy depends on several factors, including the cost of the system components, the energy efficiency, and the lifetime of the battery. Charging strategies that reduce the cost of the system or increase its lifetime can improve its cost-effectiveness [84].
The impact of charging strategies on battery life and system performance depends on the specific requirements and limitations of the off-grid solar PV system[7].

6.5. cost-effectiveness of different battery charging strategies

The cost-effectiveness of different battery charging strategies can vary depending on several factors, including the initial cost of the charging equipment, the operating costs of the system, and the lifetime cost of the batteries. Here are some considerations for evaluating the cost-effectiveness of different charging strategies [85]:
  • Initial Equipment Costs: Different charging strategies require different equipment, which can vary in cost. For example, MPPT charge controllers tend to be more expensive than PWM controllers but may offer better performance in low-light conditions. Constant voltage and constant current charging methods may require less expensive equipment but may also be less efficient or reliable [46].
  • Operating Costs: The operating costs of the system can also vary depending on the charging strategy. For example, MPPT charging may require more energy to operate than PWM charging, which can increase the cost of system operation. Similarly, some charging strategies may require more maintenance or monitoring than others, which can increase the overall operating costs of the system [86].
  • Lifetime Cost of Batteries: The lifetime cost of batteries is an important consideration in evaluating the cost-effectiveness of different charging strategies. Overcharging or undercharging can reduce the lifespan of batteries, which can increase the cost of replacing them. By optimizing the charging strategy, it may be possible to extend the life of batteries and reduce the overall cost of the system over time.
  • Overall System Efficiency: The overall efficiency of the off-grid solar PV system can also affect its cost-effectiveness. By selecting a charging strategy that maximizes the power output of the solar panels and minimizes energy losses in the charging process, it may be possible to improve the overall efficiency of the system and reduce the overall cost of operation.
In general, the most cost-effective charging strategy will depend on the specific requirements and limitations of the off-grid solar PV system. By carefully evaluating the costs and benefits of different charging strategies, it is possible to identify the most appropriate approach for a given application [87].

6.6. Limitations of battery off-grid solar PV systems

Battery off-grid solar PV systems have many advantages, including providing electricity in remote areas, reducing reliance on grid electricity, and helping to reduce greenhouse gas emissions. However, there are also some limitations to these systems, including:
(1) Limited Energy Storage Capacity: The energy storage capacity of batteries used in off-grid solar PV systems is limited, which means that these systems cannot generate electricity continuously over an extended period. This limitation can be mitigated by adding more batteries to the system, but this can increase the cost and complexity of the system [41].
(2) Weather-Dependent Energy Generation: Solar PV systems generate electricity only when there is sufficient sunlight, and this can be a challenge in regions with low levels of sunlight or highly variable weather conditions. This limitation can be addressed by combining the solar PV system with other renewable energy sources such as wind or hydroelectric power [88].
(3) Cost: Off-grid solar PV systems can be more expensive to install than grid-connected solar PV systems due to the need for energy storage batteries, charge controllers, and other components. The cost of batteries has been declining in recent years, but it remains a significant portion of the overall system cost [89].
(4) Maintenance: Off-grid solar PV systems require periodic maintenance, including cleaning of the solar panels, checking the batteries, and monitoring the system's performance. The cost and availability of maintenance personnel can be a challenge in remote locations [90].
(5) System Complexity: Off-grid solar PV systems can be complex to design and install, requiring careful consideration of the system components, wiring, and energy storage capacity. Proper installation and maintenance are critical to the system's performance and longevity.
while off-grid solar PV systems have many benefits, they are not suitable for all applications, and their limitations should be carefully considered before implementation [91].

7. Conclusions

A comparative study and overview of battery charging strategies for off-grid solar PV systems provides valuable insights into the most effective and efficient approach for charging batteries in these systems. The study considers the impact of different charging strategies on battery life, system performance, and cost-effectiveness. The overview provides a comprehensive view of the various strategies available for charging batteries in off-grid solar PV systems, including their advantages and limitations.
The study highlights the importance of selecting the most appropriate charging strategy for a given application, based on its specific requirements and constraints. The controlled charging approach appears to be the most effective in terms of optimizing battery performance and extending its life, but it may also be more expensive than other strategies. However, the initial cost may be offset by the long-term benefits of improved battery life and system performance.
A comparative study and overview of battery charging strategies can provide valuable guidance for system designers, installers, and users of off-grid solar PV systems. The goal is to provide reliable and sustainable electricity in remote areas while minimizing the environmental impact and maximizing the cost-effectiveness of the system.

Acknowledgment

This work was supported by a grant of the Ministry of Research, Innovation, and Digitization, CNCS - UEFISCDI, project number PN-III-P4-PCE-2021-0777, within PNCDI III, contract PCE 5/2022”.

References

  1. G. Lazaroiu and D.-A. Ciupageanu, “Multi-Criteria Decision Making in sustainable renewable energy systems,” Int. Multidiscip. Sci. GeoConference SGEM, vol. 19, no. 4.1, pp. 325–332, 2019.
  2. G. Lăzăroiu, L. Mihăescu, E. A. Jarcu, L. A. Stănescu, and D.-A. Ciupăgeanu, “Renewable energy employment in Romania: An environmental impact discussion,” Int. Multidiscip. Sci. GeoConference SGEM, vol. 20, no. 4.1, pp. 177–184, 2020. [CrossRef]
  3. G. LAZAROIU, D.-A. CIUPAGEANU, and T. VATUIU, “Highlights of renewable energy integration impact: Evolution and perspectives in Romania,” in 2020 21st International Symposium on Electrical Apparatus & Technologies (SIELA), 2020, pp. 1–4. [CrossRef]
  4. G. Lazaroiu, D.-A. Ciupageanu, M. Hazmoune, and T. Vatuiu, “design of an enhanced performance hybrid autonomous system,” IInternational Multidiscip. Sci. GeoConference SGEM, vol. 20, no. 4.1, pp. 45–52, 2020. [CrossRef]
  5. D.-A. Ciupageanu, L. Barelli, A. Ottaviano, D. Pelosi, and G. Lazaroiu, “Innovative power management of hybrid energy storage systems coupled to RES plants: The Simultaneous Perturbation Stochastic Approximation approach,” in 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2019, pp. 1–5. [CrossRef]
  6. G. Lazaroiu, L. Mihaescu, I. Pisa, E. Pop, G.-P. Negreanu, and V. Berbece, “Hydrogen—an energy vector in efficient combustion of energy willow,” in 2014 49th International Universities Power Engineering Conference (UPEC), 2014, pp. 1–5. [CrossRef]
  7. D.-A. CIUPĂGEANU and G. LĂZĂROIU, “Dynamic simulation of a stand-alone photovoltaic/battery energy storage system,” in 2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE), 2018, pp. 1–5. [CrossRef]
  8. D.-A. Ciupăgeanu and G. Lăzăroiu, “Hybrid energy system modeling towards renewable energy share dynamics mitigation”.
  9. G. Lazaroiu and L. Mihaescu, Innovative Renewable Waste Conversion Technologies. Springer, 2021. [CrossRef]
  10. M. G. Osman, D. Ciupageanu, And A. Stan, “Analysis Of Solar Radiation In Sudan And Optimal Location Of Photovoltaic Panels”.
  11. S. You et al., “Impact of high PV penetration on the inter-area oscillations in the US eastern interconnection,” IEEE Access, vol. 5, pp. 4361–4369, 2017. [CrossRef]
  12. C. Cristofari, G. Notton, P. Poggi, and A. Louche, “Modelling and performance of a copolymer solar water heating collector,” Sol. Energy, vol. 72, no. 2, pp. 99–112, 2002. [CrossRef]
  13. M. G. Osman, D.-A. Ciupagenau, G. Lazaroiu, and I. Pisa, “Increasing Renewable Energy Participation in Sudan,” in 2022 11th International Conference on Renewable Energy Research and Application (ICRERA), 2022, pp. 169–173. [CrossRef]
  14. K. Ramalingam and C. Indulkar, “Solar energy and photovoltaic technology,” Distrib. Gener. Syst., pp. 69–147, 2017. [CrossRef]
  15. F. Diab, H. Lan, L. Zhang, and S. Ali, “An environmentally friendly factory in Egypt based on hybrid photovoltaic/wind/diesel/battery system,” J. Clean. Prod., vol. 112, pp. 3884–3894, Jan. 2016. [CrossRef]
  16. M. I. Hlal, V. K. Ramachandaramurthy, A. Sarhan, A. Pouryekta, and U. Subramaniam, “Optimum battery depth of discharge for off-grid solar PV/battery system,” J. Energy Storage, vol. 26, p. 100999, 2019. [CrossRef]
  17. B. Bhandari, K.-T. Lee, C. S. Lee, C.-K. Song, R. K. Maskey, and S.-H. Ahn, “A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources,” Appl. Energy, vol. 133, pp. 236–242, 2014. [CrossRef]
  18. B. Soudan and A. Darya, “Autonomous smart switching control for off-grid hybrid PV/battery/diesel power system,” Energy, vol. 211, p. 118567, 2020. [CrossRef]
  19. M. Madziga, A. Rahil, and R. Mansoor, “Comparison between three off-grid hybrid systems (solar photovoltaic, diesel generator and battery storage system) for electrification for Gwakwani village, South Africa,” Environments, vol. 5, no. 5, p. 57, 2018. [CrossRef]
  20. C. Ghenai and M. Bettayeb, “Design and optimization of grid-tied and off-grid solar PV systems for super-efficient electrical appliances,” Energy Effic., vol. 13, pp. 291–305, 2020. [CrossRef]
  21. F. Crossland, O. H. Anuta, and N. S. Wade, “A socio-technical approach to increasing the battery lifetime of off-grid photovoltaic systems applied to a case study in Rwanda,” Renew. Energy, vol. 83, pp. 30–40, 2015. [CrossRef]
  22. S. Kohsri, A. Meechai, C. Prapainainar, P. Narataruksa, P. Hunpinyo, and G. Sin, “Design and preliminary operation of a hybrid syngas/solar PV/battery power system for off-grid applications: A case study in Thailand,” Chem. Eng. Res. Des., vol. 131, pp. 346–361, 2018. [CrossRef]
  23. V. Quaschning, J. Weniger, and T. Tjaden, “Photovoltaik-Der unterschätzte Markt,” BWK-Das Energ. Fachmagazin, vol. 64, no. 7, p. 25, 2012.
  24. J. Jurasz, B. Ceran, and A. Orłowska, “Component degradation in small-scale off-grid PV-battery systems operation in terms of reliability, environmental impact and economic performance,” Sustain. Energy Technol. Assessments, vol. 38, p. 100647, 2020. [CrossRef]
  25. J. P. Torreglosa, P. García, L. M. Fernández, and F. Jurado, “Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system,” Renew. Energy, vol. 74, pp. 326–336, 2015. [CrossRef]
  26. R. Kumar and M. A. Rosen, “A critical review of photovoltaic–thermal solar collectors for air heating,” Appl. Energy, vol. 88, no. 11, pp. 3603–3614, 2011. [CrossRef]
  27. G. C. Bakos, M. Soursos, and N. F. Tsagas, “Technoeconomic assessment of a building-integrated PV system for electrical energy saving in residential sector,” Energy Build., vol. 35, no. 8, pp. 757–762, 2003. [CrossRef]
  28. M. S. Yazici, H. A. Yavasoglu, and M. Eroglu, “A mobile off-grid platform powered with photovoltaic/wind/battery/fuel cell hybrid power systems,” Int. J. Hydrogen Energy, vol. 38, no. 26, pp. 11639–11645, 2013. [CrossRef]
  29. C. D. Rodríguez-Gallegos, O. Gandhi, M. Bieri, T. Reindl, and S. K. Panda, “A diesel replacement strategy for off-grid systems based on progressive introduction of PV and batteries: An Indonesian case study,” Appl. Energy, vol. 229, pp. 1218–1232, 2018. [CrossRef]
  30. T. Alnejaili, S. Labdai, and L. Chrifi-Alaoui, “Predictive management algorithm for controlling pv-battery off-grid energy system,” Sensors, vol. 21, no. 19, p. 6427, 2021. [CrossRef]
  31. U. Subramaniam, S. Vavilapalli, S. Padmanaban, F. Blaabjerg, J. B. Holm-Nielsen, and D. Almakhles, “A hybrid PV-battery system for ON-grid and OFF-grid applications—Controller-in-loop simulation validation,” Energies, vol. 13, no. 3, p. 755, 2020. [CrossRef]
  32. C. Ghenai, T. Salameh, A. Merabet, and A. K. Hamid, “Modeling and optimization of hybrid solar-diesel-battery power system,” in 2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), 2017, pp. 1–5. [CrossRef]
  33. G. I. Rashed, G. Shyirambere, G. Gasore, S. Yuanzhang, and M. B. Shafik, “Applicability study of battery charging stations in off-grid for rural electrification–the case of Rwanda,” in 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET), 2019, pp. 1–6. [CrossRef]
  34. COC, D. EO, and O. NF, “Design and economic analysis of a photovoltaic system-a case study,” Int. J. Renew. Energy Dev., vol. 1, no. 3, pp. 65–73, 2012. [CrossRef]
  35. M. Hazmoune et al., “Influence of the geometric and mechanical parameters on the temperature evolution within the tubes of a receiver from a solar power tower,” Education, vol. 2018, 2012.
  36. T. Häring, A. Rosin, and H. Biechl, “Using common household thermal storages to support the PV-and battery system in nearly zero energy buildings in off-grid mode,” Sustain. Energy Technol. Assessments, vol. 35, pp. 12–24, 2019. [CrossRef]
  37. Abuelyamen and M. H. Mohamed, “Techno-Economic Study of Installing 10 MW PV Power Plant in Sudan,” in ASME International Mechanical Engineering Congress and Exposition, 2016, vol. 50596, p. V06BT08A058. [CrossRef]
  38. Y. Aljarhizi, A. HASSOUNE, and M. Khafallah, “Experimental Study of an Optimal Power Management Strategy for Off-Grid RES/Battery System,” Int. J. Renew. Energy Res., vol. 12, no. 4, pp. 1881–1891, 2022. [CrossRef]
  39. M. Babatunde, J. L. Munda, and Y. Hamam, “Off-grid hybrid photovoltaic–micro wind turbine renewable energy system with hydrogen and battery storage: Effects of sun tracking technologies,” Energy Convers. Manag., vol. 255, p. 115335, 2022. [CrossRef]
  40. S. Fukuda et al., “Determination of solar neutrino oscillation parameters using 1496 days of Super-Kamiokande-I data,” Phys. Lett. B, vol. 539, no. 3–4, pp. 179–187, 2002. [CrossRef]
  41. C. Bordin, H. O. Anuta, A. Crossland, I. L. Gutierrez, C. J. Dent, and D. Vigo, “A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration,” Renew. Energy, vol. 101, pp. 417–430, 2017. [CrossRef]
  42. M. Astaneh, R. Roshandel, R. Dufo-López, and J. L. Bernal-Agustín, “A novel framework for optimization of size and control strategy of lithium-ion battery based off-grid renewable energy systems,” Energy Convers. Manag., vol. 175, pp. 99–111, 2018. [CrossRef]
  43. Cervantes, M. Hernandez-Nochebuena, U. Cano-Castillo, and I. Araujo-Vargas, “A graphical approach to optimal power management for uncertain OFF-Grid PV-FC-electrolyzer-battery hybrid systems,” Int. J. Hydrogen Energy, vol. 43, no. 42, pp. 19336–19351, 2018. [CrossRef]
  44. M. Mihai, A. Badea, and R. Vidu, “Analysis of the PV system performance through simulation: a case study,” UPB Sci. Bull., Ser. C, vol. 78, no. 4, pp. 184–194, 2016.
  45. S. J. Tong, A. Same, M. A. Kootstra, and J. W. Park, “Off-grid photovoltaic vehicle charge using second life lithium batteries: An experimental and numerical investigation,” Appl. Energy, vol. 104, pp. 740–750, 2013. [CrossRef]
  46. G. Lazaroiu, D. A. Ciupageanu, L. Mihaescu, M. Grigoriu, and I. Simion, “Energy recovery from poultry manure: A viable solution to reduce poultry industry energy consumption,” Renew. Energy Power Qual. J, vol. 18, no. 18, pp. 202–206, 2020. [CrossRef]
  47. S. Overington and S. Rajakaruna, “Application of Battery State of Charge Swing Control for Overall Performance Improvement in Diesel-Solar Hybrid Off-Grid Power Systems,” in 2021 31st Australasian Universities Power Engineering Conference (AUPEC), 2021, pp. 1–9. [CrossRef]
  48. Lao et al., “Correlation between genetic and geographic structure in Europe,” Curr. Biol., vol. 18, no. 16, pp. 1241–1248, 2008. [CrossRef]
  49. M. A. Mohamed and F. A. Mohamed, “Design and Simulate an Off-Grid PV System with a Battery Bank for EV Charging,” Univers. J. Electr. Electron. Eng, vol. 7, pp. 273–288, 2020. [CrossRef]
  50. Y. Wang et al., “The Holocene Asian monsoon: links to solar changes and North Atlantic climate,” Science (80-.)., vol. 308, no. 5723, pp. 854–857, 2005. [CrossRef]
  51. W. Jung, J. Jeong, J. Kim, and D. Chang, “Optimization of hybrid off-grid system consisting of renewables and Li-ion batteries,” J. Power Sources, vol. 451, p. 227754, 2020. [CrossRef]
  52. Y. Zhang, J. Wang, A. Berizzi, and X. Cao, “Life cycle planning of battery energy storage system in off-grid wind–solar–diesel microgrid,” IET Gener. Transm. Distrib., vol. 12, no. 20, pp. 4451–4461, 2018. [CrossRef]
  53. E. Al. Ismail and S. M. Hashim, “An economic evaluation of grid connected photovoltaic system for a residential house in Khartoum,” in 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), 2018, pp. 1–6.
  54. G. Merei, C. Berger, and D. U. Sauer, “Optimization of an off-grid hybrid PV–Wind–Diesel system with different battery technologies using genetic algorithm,” Sol. Energy, vol. 97, pp. 460–473, 2013. [CrossRef]
  55. M. Thirunavukkarasu and Y. Sawle, “A comparative study of the optimal sizing and management of off-grid solar/wind/diesel and battery energy systems for remote areas,” Front. Energy Res., vol. 9, p. 752043, 2021. [CrossRef]
  56. T. Salih, Y. Wang, and M. A. A. Adam, “Renewable micro hybrid system of solar panel and wind turbine for telecommunication equipment in remote areas in Sudan,” Energy Procedia, vol. 61, pp. 80–83, 2014. [CrossRef]
  57. P. Marocco, D. Ferrero, E. Martelli, M. Santarelli, and A. Lanzini, “A MILP approach for the optimal design of renewable battery-hydrogen energy systems for off-grid insular communities,” Energy Convers. Manag., vol. 245, p. 114564, 2021. [CrossRef]
  58. N. Yoshino, F. Taghizadeh-Hesary, and M. Otsuka, “Optimal portfolio selection for investment in sustainable development goals,” Financ. Res. Lett., vol. 38, p. 101695, 2021. [CrossRef]
  59. M. Guezgouz, J. Jurasz, B. Bekkouche, T. Ma, M. S. Javed, and A. Kies, “Optimal hybrid pumped hydro-battery storage scheme for off-grid renewable energy systems,” Energy Convers. Manag., vol. 199, p. 112046, 2019. [CrossRef]
  60. L. Olatomiwa, S. Mekhilef, A. S. N. Huda, and K. Sanusi, “Techno-economic analysis of hybrid PV–diesel–battery and PV–wind–diesel–battery power systems for mobile BTS: the way forward for rural development,” Energy Sci. Eng., vol. 3, no. 4, pp. 271–285, 2015. [CrossRef]
  61. S. Chtita, A. Derouich, A. El Ghzizal, and S. Motahhir, “An improved control strategy for charging solar batteries in off-grid photovoltaic systems,” Sol. Energy, vol. 220, pp. 927–941, 2021. [CrossRef]
  62. H. Ghoddami, M. B. Delghavi, and A. Yazdani, “An integrated wind-photovoltaic-battery system with reduced power-electronic interface and fast control for grid-tied and off-grid applications,” Renew. Energy, vol. 45, pp. 128–137, 2012. [CrossRef]
  63. P. Manimekalai, R. Harikumar, and S. Raghavan, “An overview of batteries for photovoltaic (PV) systems,” Int. J. Comput. Appl., vol. 82, no. 12, 2013. [CrossRef]
  64. Y. Triki, A. Triki, A. Bechouche, D. O. Abdeslam, and R. Porumb, “An Efficient Battery-Charging Algorithm with ANN based MPPT Method for Off-Grid PV Systems,” in 2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2022, pp. 106–111.
  65. G. Merei, D. Magnor, M. Leuthold, and D. U. Sauer, “Optimization of an off-grid hybrid power supply system based on battery aging models for different battery technologies,” in 2014 IEEE 36th International Telecommunications Energy Conference (INTELEC), 2014, pp. 1–6. [CrossRef]
  66. M. Bortolini, M. Gamberi, A. Graziani, and F. Pilati, “Economic and environmental bi-objective design of an off-grid photovoltaic–battery–diesel generator hybrid energy system,” Energy Convers. Manag., vol. 106, pp. 1024–1038, 2015. [CrossRef]
  67. N. Ganjei et al., “Designing and sensitivity analysis of an off-grid hybrid wind-solar power plant with diesel generator and battery backup for the rural area in Iran,” J. Eng., vol. 2022, 2022. [CrossRef]
  68. M. Hazmoune et al., “Numerical analysis of a solar tower receiver novel design,” Sustainability, vol. 12, no. 17, p. 6957, 2020. [CrossRef]
  69. M. Castillo-Cagigal et al., “PV self-consumption optimization with storage and Active DSM for the residential sector,” Sol. energy, vol. 85, no. 9, pp. 2338–2348, 2011. [CrossRef]
  70. Jossen, J. Garche, and D. U. Sauer, “Operation conditions of batteries in PV applications,” Sol. energy, vol. 76, no. 6, pp. 759–769, 2004. [CrossRef]
  71. H.-Y. Chan, S. B. Riffat, and J. Zhu, “Review of passive solar heating and cooling technologies,” Renew. Sustain. Energy Rev., vol. 14, no. 2, pp. 781–789, 2010. [CrossRef]
  72. Z. A. Zakaria, B.-C. Chen, and M. O. Hassan, “Modeling of photovoltaic power plants,” in 2008 International Conference on Electrical Machines and Systems, 2008, pp. 3835–3839.
  73. M. Das, M. A. K. Singh, and A. Biswas, “Techno-economic optimization of an off-grid hybrid renewable energy system using metaheuristic optimization approaches–case of a radio transmitter station in India,” Energy Convers. Manag., vol. 185, pp. 339–352, 2019. [CrossRef]
  74. A. I. Hassane, D. H. Didane, A. M. Tahir, R. M. Mouangue, J. G. Tamba, and J.-M. Hauglustaine, “Comparative Analysis of Hybrid Renewable Energy Systems for Off-Grid Applications in Chad,” Int. J. Renew. Energy Dev., vol. 11, no. 1, p. 49, 2022. [CrossRef]
  75. V. P. Pérez, C. G. R. B. Borges, and J. A. P. R. Rodríguez, “Photovoltaic system proposal for a house,” Int. J. Phys. Sci. Eng., vol. 3, no. 2, pp. 34–43, 2019. [CrossRef]
  76. R. Kumar and S. K. Singh, “Solar photovoltaic modeling and simulation: As a renewable energy solution,” Energy Reports, vol. 4, pp. 701–712, 2018. [CrossRef]
  77. M. Adsten, “Solar Thermal Collectors at High Latitudes: Design and performance of non-tracking concentrators.” Acta Universitatis Upsaliensis, 2002.
  78. M. R. Elkadeem, S. Wang, S. W. Sharshir, and E. G. Atia, “Feasibility analysis and techno-economic design of grid-isolated hybrid renewable energy system for electrification of agriculture and irrigation area: A case study in Dongola, Sudan,” Energy Convers. Manag., vol. 196, pp. 1453–1478, Sep. 2019, doi: 10.1016/J.ENCONMAN.2019.06.085. [CrossRef]
  79. Poortmans et al., “A Technology Roadmap Towards Stable & Low-Cost Organic Based Solar Cells; orgaPVnet: Brussels.” Belgium, 2009. [CrossRef]
  80. El Chaar and N. El Zein, “Review of photovoltaic technologies,” Renew. Sustain. energy Rev., vol. 15, no. 5, pp. 2165–2175, 2011. [CrossRef]
  81. R. H. E. Hassanien, M. Li, and W. D. Lin, “Advanced applications of solar energy in agricultural greenhouses,” Renew. Sustain. Energy Rev., vol. 54, pp. 989–1001, 2016. [CrossRef]
  82. “Battery systems (Calculation) :: PV*SOL® help.” https://help.valentin-software.com/pvsol/en/calculation/battery-systems/ (accessed Jul. 02, 2022).
  83. S. O. Fadlallah and D. E. B. Serradj, “Determination of the optimal solar photovoltaic (PV) system for Sudan,” Sol. Energy, vol. 208, pp. 800–813, 2020. [CrossRef]
  84. S. Dubey, J. N. Sarvaiya, and B. Seshadri, “Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world–a review,” Energy Procedia, vol. 33, pp. 311–321, 2013. [CrossRef]
  85. Mehta, A. Kapoor, and H. K. Neopaney, “Conceptual design of concentrated solar power plant using SPT-Solar power tower technology,” Rev. Comm., p. 77, 2014.
  86. Grätzel, “Recent advances in sensitized mesoscopic solar cells,” Acc. Chem. Res., vol. 42, no. 11, pp. 1788–1798, 2009. [CrossRef]
  87. S. Abdul-Wahab, Y. Charabi, A. M. Al-Mahruqi, I. Osman, and S. Osman, “Selection of the best solar photovoltaic (PV) for Oman,” Sol. Energy, vol. 188, pp. 1156–1168, 2019. [CrossRef]
  88. Oulis Rousis, D. Tzelepis, I. Konstantelos, C. Booth, and G. Strbac, “Design of a hybrid AC/DC microgrid using Homer Pro: Case study on an islanded residential application,” Inventions, vol. 3, no. 3, p. 55, 2018. [CrossRef]
  89. H. Cotal et al., “III–V multijunction solar cells for concentrating photovoltaics,” Energy Environ. Sci., vol. 2, no. 2, pp. 174–192, 2009. [CrossRef]
  90. Bîrlog, G. Lazaroiu, and V. Dumbrava, “PHOTOVOLTAIC-WIND TURBINE HYBRID SYSTEM ANALYSIS BASED ON METEOROLOGICAL DATA,” in 16th International Multidisciplinary Scientific GeoConference SGEM 2016, 2016, pp. 525–532. [CrossRef]
  91. J. Adeeb, A. Farhan, and A. Al-Salaymeh, “Temperature effect on performance of different solar cell technologies,” J. Ecol. Eng., vol. 20, no. 5, 2019. [CrossRef]
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