Car Battery Research Articles

BATERIAS DE CARROS ELÉTRICOS: MANUTENÇÕES E DESCARTES

The rapid growth in the adoption of electric vehicles brings to light challenges related to the maintenance and disposal of batteries, which are essential components for the operation of these vehicles. The central issue addressed is the sustainability of the battery life cycle, considering both the efficiency of their maintenance and the environmental impacts resulting from inadequate disposal. The context involves the transition to a greener economy and the demands for clean technologies, which makes it essential to discuss appropriate practices to extend the useful life of batteries and ensure their safe disposal. The main objective of this study is to analyze the maintenance practices of electric car batteries and disposal strategies, focusing on minimizing environmental impacts and optimizing the life cycle of components. The research seeks to identify effective methods to extend the useful life of batteries, in addition to evaluating existing recycling policies and processes. The methodology used includes a literature review of current battery maintenance and disposal practices, in addition to the analysis of case studies that exemplify different approaches and results in international contexts. The research also incorporates interviews with industry experts, aiming to obtain a comprehensive and updated view of best practices and challenges faced. This work contributes to the discussion on sustainability in the automotive sector and to the formulation of more efficient policies for the management of technological waste.

Design and assessment of sustainable spent automobile lithium-ion battery industries in Japan: A system dynamic business model approach

An increasing number of used automobile lithium-ion batteries (LIBs) require appropriate treatment, such as disposal as solid waste, recycling of materials, or repurposing as second-life LIBs, to avoid undesired environmental consequences. However, the economic feasibility of these treatments affects industrial development. We propose a system dynamics business model (SDBM) as a novel approach for forecasting the economic impact of the industry in Japan, which provides comprehensive quantitative and qualitative assessments. We designed three business models (BMs): repurposing, recycling, and circular production. Repurposing BM extends the lifespan of LIBs by encouraging battery owners and collectors to engage in the second-life LIB market. Recycling BM supports recyclers in determining cost-effective recycling technologies. Circular production BM provides a policy analysis to the government. We elucidate the anticipated benefits to stakeholders involved in BMs. If all stakeholders have community interests, a circular economy for automobile LIB recycling can be realized without government subsidies.

Enhancing electric car lithium-ion batteries by using adaptive materials to improve heat transfer and reduce fatigue

The widespread adoption of electric vehicles (EVs) hinges on the efficiency and reliability of their battery systems. However, EV batteries still have many issues, mostly in terms of quantity, storage efficacy, charging speed, lifespan, and security, particularly, temperature variations, which can cause accidents that can lead to losses of products and persons. Hence, any advancement in the field of EV batteries would improve their performance and thus, boost daily usage of EVs that would reduce the pollution caused by traditional cars. Therefore, the main objective of this study focuses on improving the thermal and mechanical stability, energy storage efficiency, and safety of electric vehicle batteries by incorporating multifunctional materials, particularly phase-change materials (PCM) and shape memory alloys (SMA). By incorporating PCM, the thermal regulation of batteries is enhanced, resulting in better charge-discharge cycles, extended battery life, and reduced overheating risks, all of which contribute to increased safety. SMA integration, on the other hand, offers mechanical protection, flexibility in heat management, and resilience against thermomechanical fatigue, further improving battery longevity. Moreover, the incorporation of these adaptive materials not only boosts battery performance but also ensures that the materials can be seamlessly integrated without affecting the overall design or significantly increasing the weight of the battery. Thus, a systematic numerical study was conducted in order to adapt the multifunctional materials with each other and with EV battery systems. The study demonstrated a significant improvement in battery thermomechanical stability, leading to better storage performance, quality, and charging speed. Particularly, the findings showed a remarkable increase around 23: % in thermal stability duration, preventing excessive temperature variations, and an important reduction in mechanical vibrations around 79 %, which minimizes fatigue and enhances durability. Finally, the results revealed that the proposed adaptable materials are the most stable for car batteries even during fast charging while driving. These materials can also support alternative ways of charging, such as using solar sources.

Heavy Metals in Tree Parts (Roots, Bark, Leaves) and Fruits Grown in Mechanic Workshops in Nigeria

The day-to-day activities carried out at the mechanic workshop like panel beating, welding, and automobile battery servicing may result in high amounts of heavy metals in the soil near mechanic workshops. Spent engine oils also emit a huge number of toxic metals, when disposed of on the floor at workshops, they settle on soil and are absorbed into nearby trees and plants. Therefore, making the tree parts and fruits at mechanic workshops prone to attack by heavy metals. This work is focused on testing if the presence of heavy metals would have adverse effects on the tree parts (roots, shoots, upper leaves, lower leaves) and fruits of mechanic workshops. A mechanic village in Abeokuta, Ogun State was chosen as the case study. The tree parts were oven-dried, ground, digested, and taken for analysis using AAS. Zinc (Zn), Lead (Pb), and Mercury (Hg) were found in higher amounts than the recommended allowable limits by WHO/FAO. Results show that the upper bark had the highest heavy metal concentration. In general, the tested heavy metals were recognized in the order: Zinc (Zn) > Lead (Pb) > Mercury (Hg) > Nickel (Ni) > Manganese (Mn) > Iron (Fe) > Copper (Cu). It is recommended that mechanic villages should be sited far from residential areas. Remediation of polluted soil should be encouraged. Phytoremediation was suggested to be the best method for reducing the concentration of heavy metal in the soils and tree parts at mechanic workshops. Continuous education and training should be provided for automobile repairers/ mechanics, emphasizing the environmental implications of their poor occupational waste management and the dangers of eating fruits and taking herbs from trees planted in workshops.

Optimizing Electric Vehicle Performance: Advances in Battery Management Systems for Enhanced Efficiency and Longevity

The management of electric car batteries has taken front stage in automotive research and development as more people choose electric vehicles (EVs). Optimal performance, safety, and lifetime of electric vehicles depend on effective battery management systems (BMS). To address this, we developed software for system functionality testing and a BMS prototype with an AVR ATmega family micro-controller. The originality of this work is the practical application of Arduino platform for BMS development, offering a scalable and reasonably priced solution that goes beyond past efforts by including the most recent technological developments and addressing modern challenges in the field. Conclusions drawn show that overcoming present battery performance constraints by developing BMS technology will open the path for more general EV acceptance.

Quality Prediction Algorithm for Flow Drilling Screw Joining of 590 MPa High-Strength Steel and 6xxx Series Aluminum Alloy

Flow drilling screw (FDS) process is applied to various components such as car bodies and battery cases due to its advantage of enabling one-sided joining. Various studies have been conducted on the correlation between monitored process parameters and joint quality. These correlations suggest the potential for non-destructive classification or prediction of joint quality using process monitoring signals. In this study, the effect of FDS process parameters on joint quality was analyzed, and a decision tree-based quality prediction model for classifying joint quality was developed. The material combination consisted of a 1.8 mm thick SGAFC 590DP as the upper plate and a 3.0 mm thick Al 6061 as the lower plate. To develop the joint quality prediction algorithm, the effect of process parameters in each process step on joint quality was analyzed. It is used as input data to identify various features. The output data were generated by classifying the products into three categories from class 0 to class 2. Based on the extracted feature data, a machine learning algorithm was trained to develop the joint quality prediction model.

The Effect of Calcium and Iron (III) Oxides on Lead Spent Plates: Spectroscopic, Voltametric, and EIS Investigations.

In this study, xCaO‧5Fe2O3‧(95-x)Pb glasses and vitroceramics containing various concentrations of calcium ions (from 0 to 50 mol% CaO) were prepared using the spent anodic plate of a car battery. X-ray diffraction analysis revealed changes in the network structure as a function of CaO content. The intensities of the IR bands due to the sulfate and sulfite units were lowered, indicating a decrease in the sulfurization degree within the lead network. In the UV-vis spectra, the presence of electronic transitions of the Fe3+, Pb2+, and Fe2+ ions were identified. The EPR spectra were characterized by resonance signals centered at about g ~ 2 and 4.3, corresponding to the trivalent iron ions. For the samples with 5 ≤ x ≤ 12, the signals decreased abruptly, suggesting a Fe3+→Fe2+ interconversion and the formation of the Fe3O4 crystalline phase. A considerable increase in the intensity of the signal centered around g ~ 2 was observed as the CaO concentration increased to 30% in the host matrix. Our results confirm that the higher CaO levels of 3 mol% are responsible for the increase in the radius of curvature of the semicircle arcs in the EIS plots and the decrease in their conductivity.

Development of an Automatic Scissors Screw Car Jack

In this paper, an existing manual scissors screw car jack was converted to an automatic scissors screw car jack by introducing a sleeve coupling between the manual screw jack and a 12V DC electric motor, which is powered through a direct current energy flow directly from the car battery. The DC electric motor provides a turning effect to automatically power the screw jack for the purpose of lifting the desired load. A screw jack (manual or automatic) is a simple machine used in lifting heavy loads. It becomes very useful in vehicles when changing a punctured tire. It is mandatory for each vehicle plying an approved road to carry a jack for fixing a punctured tire. However, the operation of most car jacks is done manually and also requires prolonged bending or squatting positions when using the jack, making it difficult for most women, the disabled, the elderly, etc., and above all, not ergonomically suitable for the human body due to crouching and squatting positions when in use, which may result in health complications. The automatic scissors car jack developed was successfully tested on five different types of vehicles, with different weights. Five different tests measurements were carried out on each vehicle. The time taken to lift the vehicles 0.03 m off the ground was recorded. They ranged from 74 s to 90 s depending on the weight of the vehicle involved. The heavier the vehicle, the longer the time taken to lift the vehicle off the ground to the predetermined height of 0.03 m.

Robust and low-cost open-source device for detecting infectious microorganisms by loop-mediated isothermal amplification

Loop-Mediated Isothermal Amplification (LAMP) is a useful technique for detecting infectious microorganisms in human fluids since it performs similarly to conventional PCR, the results are obtained faster and no thermocyclers or complex devices are required. Since only two isothermal blocks (95 °C to lyse cells and 65 °C for DNA amplification) are needed, LAMP is particularly suited for applications in Low- and Middle-Income Countries (LMICs). To validate such assumption, we first designed and tested Arduino-controlled LAMP thermoblocks to process a considerable number of samples simultaneously with a low-energy consumption to enable routine use under worst-case conditions (no main power source and low ambient temperatures).The thermoblocks were tested when battery-powered at temperature down to 5 °C, showing high stability in well temperatures (<0.8 °C). The charge required for both thermoblocks to simultaneously achieve the target temperatures after switching on and to keep their working temperatures were 4.1 A·h and 2.4 A·h/h, respectively. Second, we implemented a low-cost viewer with LEDs and filters to detect the fluorescent LAMP reaction. All the components required for the instrument are for general purpose and readily available by e-commerce. Thus, the LAMP device allows for considerable autonomy by using a typical car battery in rural and itinerant healthcare or field hospitals in LMICs, even under difficult environmental conditions.

Demand for electric cars and oil prices: A wavelet approach

ABSTRACT The paper explores the worldwide co-movement between the demand for electric cars and oil prices from January 3rd, 2020, to March 6th, 2023, utilizing wavelet methodology. The main finding shows a strong link between electric car demand and oil prices when oil prices are highly volatile in the short term. When oil prices suddenly drop, people’s preference for electric cars decreases in the very short term. However, in the short term, the demand for electric cars is influenced by how much oil prices change and the anticipation of future trends, causing a shift between traditional and electric cars. These results hold true even when considering factors like geopolitical risks, pandemics, the health of the car industry, and the cost of metals used in car batteries. The findings have crucial implications in the socio-economic environment, being very useful to both policy-makers and car market actors. In this light, on the one hand, the outputs can offer support in shaping policies able to reduce fossil fuel dependency and address climate change. On the other hand, this insight aids in correcting the market dynamics across automotive and energy sectors under oil price volatility. Furthermore, these dynamics can affect economic indicators like inflation, trade balances, unemployment, and GDP growth. Not least, transitioning to electric cars can mitigate emissions reduction, improve air quality, diversify energy sources, and enhance energy security.

Construction of battery charge state prediction model for new energy electric vehicles

New energy vehicles have made considerable achievements after nearly a decade of development, but the range and safety of automobile battery packs are still a difficult problem for the industry to overcome. The charge state of the battery can reflect the charging and discharging situation and battery health, so it is significant to construct an accurate prediction model of the battery charge state. In view of this, an RBF neural network is utilized to predict the battery state of charge. Considering that the battery charge state is a nonlinear time series, the study introduces an integrated learning algorithm to further optimize the prediction model. Experimentally, the loss rate of the raised model is almost stable around 150 steps and the loss rate tends to be close to 0. The accuracy of the raised model also reached 81.60%, which is 2.84% and 1.80% higher than the control model, respectively; The recall rate of the raised model reached 77.92%, which was 4.73% and 25.31% higher than the control model, respectively. From the effectiveness test results, the raised model has higher accuracy and faster convergence rate than the control model, and the recall rate of the raised model is also higher, so the raised model has a certain progressiveness.

Дослідження впливу зовнішніх факторів на експлуатаційні властивості електромобіля

Many factors affect the range of an electric vehicle: speed, driving style and ambient temperature can reduce the range of a full charge. Cold weather poses two main problems for electric vehicles: cold air limits battery performance, and the robo-heater significantly drains the battery. Studies have shown that 21.5 degrees is the optimal temperature for the operation of an electric car battery. Because an average of 21.5 degrees Celsius is the most optimal temperature when it comes to the range of an electric car. This actually prolongs its operation. At 21.5 degrees, the electric car's temperature system does not work, so energy is used for its movement. At -20°C, an electric car loses an average of 50% of its battery charge range. At -10 – 40%, at 0 – 20%. When the temperature is +10o C, the real driving distance of the electric car corresponds to 100% charging of the battery. At +21 o C, the real distance can be increased to 15%. When it is +40oC, the performance of the battery drops significantly to 80%, and the rate of charge rapidly decreases as the temperature increases. The energy consumption of electric vehicles is largely influenced by weather factors. Studies have shown the influence of ambient temperature and wind speed on energy consumption. The results show that at low speeds (30 km/h) the relative influence of ambient temperature is extremely high. The lowest energy consumption is achieved at a temperature of 20° C. At higher speeds (130 km/h), the relative influence of the temperature of the external environment is much lower. It has been proven that 21.5 degrees is the optimal ambient temperature for the operation of an electric car battery during operation, a decrease or increase in temperature leads to a decrease in the efficiency of electric car operation.

Prototype Design Remote Smart Car 4WD Robot Car with Additional Power Photovoltaic Source Integrated Arduino

The problem addressed in this research is designing an Electric Car Prototype, a technology design using Arduino Uno, L298N Driver Module, and HC-06 Bluetooth sensor which is controlled automatically using an application. The method used is a hybrid PLTS (Solar Power Plant) system based on Arduino Uno. This prototype combines electrical energy from batteries with solar energy produced by solar panels, and the main controller is Arduino Uno. Tests were carried out to evaluate the performance and efficiency of this electric car. The results of solar panel experiments in designing electric car prototypes, testing will be carried out on the efficiency of solar panels on the power produced. The following is the data from the experimental results measured through the following table 2 experiments. solar panels were installed on the roof or other parts exposed to sunlight on a prototype electric car. Solar panels consist of photovoltaic solar cells which are capable of converting solar energy into electrical energy. When sunlight falls on a solar panel, the solar cell produces an electric current. The electric current generated from the solar cell is then channeled to the charging module to charge the battery. The battery charging module regulates the voltage and electric current according to battery charging needs. This is important so that the battery does not receive too much or too little power during the charging process. After passing through the battery charging module, the electrical energy from the solar panels is used to charge the electric car battery. Electric car batteries function as energy storage which is used to control the engine and other electronic systems in the car. Obtained were the development of an environmentally friendly and sustainable electric vehicle.

Effects of silica aerogel particles on performance of the coatings for new energy vehicle battery packs

In order to reach the fire protection standard for new energy vehicle battery packs, the incorporation of SiO2 aerogel particles as a functional filler in the nitrogen and phosphorus fire-retardant system is necessary due to the inadequate mechanical properties. The effects of SiO2 aerogel on the properties of the coatings for the electric car battery pack were investigated by fire protection test, thermogravimetric analysis, limited oxygen index, UL-94 vertical test, combustion test, mechanical properties test, and weathering resistance test. The backside temperature fireproof coatings containing 1.5% SiO2 aerogel was effectively reduced to 250.2 ± 0.1 °C and the residual weight of the coating reached 32.61 ± 0.01%. The composition and structure of the carbon layer were analyzed further. Especially, the weight loss percentage of the fireproof coating is only 5.87 ± 0.02% in the water resistance test. However, excessive SiO2 aerogel decreased the performances of fireproof coatings.

Effects of Leaching Agents on Pb and Cd Immobilization in Battery Waste Contaminated Soils Amended with Bare and Stabilized Zero-Valent Iron Nanoparticles

This study compared the effectiveness of bare zero-valent iron nanoparticles (B-nZVI) and starch-stabilized zero-valent iron nanoparticles (S-nZVI) in immobilizing Pb and Cd from lead-acid battery waste soils. Both B-nZVI and S-nZVI were prepared in almost identical manner using the technique of reducing ferric chloride with sodium borohydride. X-ray diffraction (XRD) and dynamic light scattering (DLS) analyses confirmed that polydisperse B-nZVI and S-nZVI were synthesized. XRD and DLS analyses showed that B-nZVI and S-nZVI had different surface properties. To assess the immobilization capability of B-nZVI and S-nZVI, a composite soil sample was collected from an automobile lead-acid battery waste dumpsite. The soil sample had a pH of 3.85 and Pb and Cd levels of 16,674 mg/kg and 41 mg/kg, respectively. Single extraction procedures using 0.01M CaCl2, 0.1 M HCl, and 0.05 M EDTA were used to simulate phytoavailable Pb and Cd in the soil studied. Batch immobilization analysis showed that Cd was mobile in the control but immobile in B-nZVI and S-nZVI treated soils. Pb was however not immobile in either the control or treated soils. The mobility of Pb however decreased with increasing doses of S-nZVI and 0.003 g of S-nZVI was needed to make Pb completely immobile in soil. Batch immobilization also showed that S-nZVI was 1.8-2.49 times more efficient in immobilizing Pb than B-nZVI. Simulated phytoavailability of Pb was in the order of EDTA &gt; HCl &gt; CaCl2 &gt; H2O while simulated photoavailable Cd was in the order of HCl &gt; EDTA &gt; H2O &gt; CaCl2.

A Sustainable Solution for Urban Transport Using Photovoltaic Electric Vehicle Charging Stations: A Case Study of the City of Hail in Saudi Arabia

As the global shift toward sustainable transportation gains momentum, the integration of electric vehicles (EVs) becomes imperative, necessitating a robust and environmentally friendly charging infrastructure. Leveraging the abundant solar potential in the region, this study examines the technical, economic, and environmental feasibility of deploying photovoltaic electric vehicle charging stations (PV-EVCSs) in Hail City, Saudi Arabia, as a case study. This study examines factors such as the energy demand, grid integration, and user accessibility, aiming to address the challenges and opportunities presented by the urban fabric. The proposed solar charging station network seeks to catalyze a paradigm shift toward a cleaner and more sustainable transportation ecosystem, embodying a forward-thinking approach to meeting the evolving needs of urban mobility in the 21st century. The analysis encompasses many scenarios, encompassing a range of car battery sizes, charger powers, and car slots per station. Zone 4 is identified as the most crucial area, where seven charging stations are needed to fulfill the expected demand in the absence of any private charging alternatives. The economic evaluation of the 1047.35 kWp PV system reveals an estimated conventional payback time of 11.69 years, accompanied by a return on assets of 10.17%. The system generates accumulated cash flows amounting to SR 7,169,294.62 over 30 years, while the estimated operational and maintenance expenses are predicted to be SR 50,000 per year. The overall investment cost for the solar PV and EV charging stations is SR 4,487,982. This cost is offset by the yearly electricity savings from solar and grid sources, which can reach up to SR 396,465.26 by year 30. This work presents a detailed plan for the future of sustainable transport. It combines technical, environmental, and economic aspects to promote a cleaner and more sustainable urban mobility system.

Minimum Bucket and Car Battery Problems

A solar car needs 5 fully charged batteries to run, and it depletes those batteries in 5 hours. The batteries are rechargeable, and solar panels on the car are able to charge 3 batteries simultaneously. It takes 3 hours for the solar panels to finish charging 3 batteries. Furthermore, batteries cannot be charging and in use at the same time. If the car always starts running as soon as 5 full batteries are available, and the solar panels can only operate if 3 empty batteries are available, how many batteries are needed so that the car can eventually run without stopping? We investigate this resource optimization problem and its different variations.

Interfacial modulation of bifunctional electrolyte additive engineering for dendrite-free and robust lithium metal anode

Anode materials for rechargeable electric car batteries are obtained from Li-metal owing to their extremely high specific capacity and low redox potential. Unfortunately, safety concerns related to dendrite formation on the anode surface caused by the uneven distribution of Li-ions during the discharge process interfere with the use of Li-metal in industrial batteries. In this study, methyl vinyl sulfone (MVS), a sulfone-based functional electrolyte additive, is used in an additive engineering strategy to control Li-electrolyte interactions and address the aforementioned problems. Li dendrite growth may be restricted, and transition metal degradation on the surface of the cathode can be reduced by the MVS-derived functional electrolyte additive interfacial layer. The electrochemical performance of an ethylene carbonate/dimethyl carbonate (EC/DMC) + 1 wt% MVS Li-metal anode of a Li||Li symmetric cell exhibits remarkable cycle stability, maintaining a low overvoltage for over 750 h at 1 mA cm−2, and capacity of 1 mA h cm−2. Additionally, LiNi0.8Co0.1Mn0.1O2 (NCM811) full cells with the MVS additive exhibit enhanced electrochemical stability for 250 cycles at a current density of 100 mA g−1. This study provides an innovative approach for stabilizing the metal-electrolyte interfacial layer that may be used for practical applications in metal-based rechargeable batteries.

Designing a sustainable supply chain for battery PVC cases: A multi-objective optimization approach

Nowadays, Polyvinyl Chloride (PVC) and its derivatives are being used in a wide range of products, including car battery cases, due to their corrosion resistance and exceptional durability. As PVC production has grown, the amount of non-hazardous waste generated from PVC products has dramatically increased. In this context, incorporating PVC waste management into the PVC supply chain can effectively address the PVC waste generation issue. This study investigates the design of the Polyvinyl Chloride Closed-Loop Supply Chain (PVCCLSC) based on a triple-objective model for Abadan Petrochemical Company. The first objective aims to minimize the total cost of PVCCLSC, the second objective focuses on minimizing environmental impact, and the third objective maximizes the improvement of Occupational Health and Safety (OHS). In this study, an integrated solution approach is developed encompassing four main phases: (i) Developing an accelerated K-means clustering algorithm, along with the Elbow Method (EM) and Average Silhouette Method (ASM), to estimate the quality of returned PVC products, (ii) Employing a robust optimization method to capture the uncertainty, (iii) Implementing an augmented ε-constraint method to solve the proposed multi-objective model, and (iv) Applying a Bender’s Decomposition Algorithm (BDA) to solve the model and determine optimal solutions. As a result of the proposed BDA, relative optimality gaps have been reduced from 4.56 % in the conventional solution to zeros, and runtime has been reduced from 55 min to 20 min. Furthermore, as a result of this study, more than 44 % of returned PVC products should be recycled using the tertiary method to fulfill environmental requirements.

Rural electrification in Nigeria: A review of impacts and effects of frugal energy generation based on some of e-waste components

Nigeria is the seventh most populous country in world being the highest in Africa. The country is blessed with vast natural resources and is one of the highest producers of oil in the world. However, the inadequate supply of electrical energy is a major setback in the nation's economic development. Thus, there is need for an urgent and immediate solution to address the electricity access situation in Nigeria. It is in view of this that we first present an overview of the electrical energy situation of Nigeria (especially in the rural areas). The benefits of rural electrification and it impacts are discussed to buttress the need for electrifying rural areas and an overview of the abundant renewable energy resources in Nigeria is presented. As a proposed solution to improve the electricity situation, the concept of a reuse solar photovoltaic system based on e-waste components and old materials is presented. The system comprises repurposed Power Supply Unit (PSU) from old desktop computers, old thermal car Lead-acid batteries, old solar panels and Uninterruptible Power Supply (UPS) units. The possibility of adopting this solution in Nigeria depends on the amount of e-wastes generated annually thus necessitating the need for an analysis to see the annual impact of this system on electricity access based on the amount of available e-waste. Using the huge amount of e-waste generated/received annually in Nigeria, the feasibility of our solution is assessed by estimating the possible number of households that could be electrified by the second life renewable energy systems we propose. Due to the lack of official data in this field, certain constraints and assumptions were defined for the purpose of this analysis which resulted in obtaining a range of results that showed the possible impacts of adopting the reuse system. The analysis showed the minimum and maximum impacts the reuse solution could have on electricity access in Nigeria, based on best and worst case scenario respectively. The results further showed that an average of 287,000 households can be electrified annually if this solution is adopted, causing 2.2 % increment in population with electricity access in a year (between 620 thousand and 4.1 million individuals). Thus, the result is an indication that it is possible to achieve immediate growth in electricity access based on renewable energy integration, frugal innovation and reuse/repurposing of e-waste materials. In addition, this extension of their lifespan reduces their ecological footprint. It is expected that the energy demands of the continuously growing population can be met by strict adherence to set targets including adoption of smart-grids, generation diversification and focusing on rural electrification.