Use Of Renewable Energy Research Articles

Charging Strategies for Electric Vehicles from Renewable Hybrid Systems

Objective: The aim of this study is to analyze charging strategies for electric vehicles (EVs) in a hybrid system connected to the conventional electricity grid, to optimize the use of renewable energies. Theoretical Framework: This paper presents the concepts of hybrid systems, photovoltaic power generation, and electric vehicle energy demand. It emphasizes the importance of integrating renewable energy into the transportation sector to reduce greenhouse gas emissions and promote sustainability. Method: The research was based on obtaining load curves and photovoltaic generation in different climatic conditions. The energy available for charging electric vehicles was calculated, considering the limitations of the hybrid system. Different charging power configurations were studied. Results and Discussion: The results demonstrate the feasibility of recharging EVs with renewable energy and highlight the operational flexibility provided by storage systems. Different climate scenarios affect energy availability for charging, highlighting the importance of adaptive strategies. Research Implications: This research contributes to developing sustainable strategies in the transportation sector by providing insights into integrating electric vehicles and renewable energy. Practical implications include reducing carbon emissions and decreasing dependence on fossil fuels. Originality/Value: This study stands out for its specific analysis of EV charging strategies in a hybrid context, providing new approaches for the efficient use of renewable energy in transportation. The integration of storage systems and adaptation to climatic conditions are innovative aspects that add value to the research.

Modelling of Sulfur Dioxide Removal by Seawater in a Flue Gas Desulfurization Absorber

Although Indonesia has set a target for increasing the use of renewable energy for electricity generation, the use of coal as a source of energy will still dominate at least until 2040. Sulfur dioxide (SO2) along with other gases and particulates released from the use of coal in coal-fired power plants (CFPPs) may cause air pollution. The use of seawater, an abundant source of absorbent in a maritime country such as Indonesia, in flue gas desulfurization (SWFGD) absorbers, is an economical option for treating SO2 in an absorption tower compared to other alkaline chemicals, e.g. limestone (CaCO3) or magnesium hydroxide (Mg(OH)2). A model, which correlates the equilibrium of the reaction with the salinity of the absorbent, was developed to predict the sulfur dioxide scrubbing process inside an SWFGD absorber. The simulation also took into account the mass and energy balance during the scrubbing process. The calibration using field SWFGD data showed a good correspondence between field data and modelling results.

Implementasi PLTS sebagai Supply Listrik Alternatif pada Fasilitas Masjid Qoryah Thoyyibah Kandang Limun

The Government of the Republic of Indonesia has long encouraged the use of renewable energy, but in fact there are still many people who use primary energy. Seeing this, the idea emerged from the Community Service Team by Bengkulu University lecturers to design and implement Solar Power Plants (PLTS). This renewable energy idea was implemented at the Qoryah Thoyyibah mosque, Kandang Limun Kota Bengkulu. The purpose of this service is the implementation of Appropriate Technology, namely PLTS for alternative energy supply at the Qoryah Thoyibah Mosque facility. So that if there is a power outage by PLN, the facilities at the Qoryah Thoyyibah Mosque can still operate according to their functions. This service method is carried out by two methods, namely counseling and implementation of PLTS Appropriate Technology. It is hoped that in the future by designing and building PLTS as an alternative energy source at the Qoryah Thoyyibah Kandang Limun mosque in Bengkulu City, the backup electricity supply will be fulfilled and we will not always depend on PLN, besides that it can also reduce the monthly cost of electricity at the Qoryah Thoyyibah Mosque. The result of Community Service activities with the 2023 Development scheme is that PLTS has been installed with an AC source to operate lighting lamps with a capacity of 100 WP for PLTS and lamps of 800 Watts. So that it can be operated as a source of lighting for Qoryah Thoyyibah mosque facilities in a state where there is no source from PLN.

Load prediction and energy efficiency improvement of steelmaking waste heat centralized heating systems under mild climate in China

HVAC energy consumption accounts for more than 50 % of the total building energy consumption globally and using industrial waste heat has huge potential for energy savings in central heating systems. Under the background of the use of renewable energy and the gradual rise of central heating in mild climate areas in China, it is worth paying attention to the problem of excessive energy consumption caused by the inaccurate load prediction of central heating systems when the ambient temperature changes. L City, Guizhou Province, is the first city with central heating in southern China. The temperature variation during winter in L City can manifest the climatic characteristics of a mild region. Therefore, based on the operational data of the steel waste heat central heating system in L City, Guizhou Province, China, during the heating season of 2022–2023, this study discusses the load prediction and energy-saving optimization strategy of the central heating system in a mild climate. SketchUp was used to conduct 3D modeling of the actual buildings in the heating area and TRNSYS was imported to simulate the system load. The difference between the heating load forecast and the actual operating data was analyzed in detail by using the calculation results. Based on the simulation results, the waste heat utilization strategy was adjusted and the influence of different heating schemes on the pump energy consumption under different load demands was discussed. The results reveal that based on the temperature change rule, the accurate load prediction can lead to a 28.64 % saving of the system energy. Concerning system energy consumption, by adjusting the water flow and choosing the large and small pump system, the energy saving amounts to 39.48 % compared with the traditional single-pump system. Meanwhile, in the transition season when the heating demand is less than 20 MW, the adjusted heating scheme can achieve a 38.5 % saving based on the constant flow scheme and a 5.4 % saving based on the constant temperature difference scheme. This article provides a scientific energy-saving solution for heating in mild climates using industrial waste heat, not only reducing energy consumption but also providing an important reference for the energy-saving renovation of heating systems in similar areas.

Renewable energy and CO2 emissions in developing and developed nations: a panel estimate approach

Emerging economies and ecosystems are critically dependent on fossil fuels, and a country’s energy dependence is a significant measure of its reliance on foreign suppliers. This study evaluates the impact of energy reliance on energy intensity, CO2 emission intensity, and the utilization of renewable resources in 35 developing and 20 developed nations, as well as the connection between renewable energy (REN), GDP growth, and CO2 emissions. This study employs the generalized linear model (GLM) and the robust least squares (RLS) method to assess the inverse association between renewable energy and developed and developing economy policymakers, utilizing unique linear panel estimate approaches (1970–2022). The impact of renewable energy as a response variable on economic growth, energy consumption, and CO2 emissions across four continents is investigated in this study. The findings indicate that developing countries experience a rise in per capita CO2 emissions if their renewable energy use exceeds their capacity. This finding remains significant even when other proxies for renewable energy use are introduced using modified approaches. Furthermore, it is particularly relevant to industrialized nations that possess more developed institutions. Even more surprisingly, in terms of the energy and emission intensity required for growth, energy dependence has accelerated all components. The regional analysis revealed a spillover impact in most areas, suggesting that the consequences of energy dependence are essentially the same in neighboring countries. The growth of the renewable energy sector and the decrease in greenhouse gas emissions depend critically on the ability of regional energy exchange unions to mitigate the negative environmental and economic impacts of energy dependency. These underdeveloped countries need to spend more on research and development to catch up technologically.

EU Regulatory Compliance of Renewable Fuels from Steel Mill Gases and Exhaust Gases

AbstractThe production of renewable and sustainable fuels must comply with the EU regulatory framework (Renewable Energy Directive (EU) 2023/2413, Commission Delegated Regulations (EU) 2023/1184, and (EU) 2023/1185) for the use of renewable energy in the transport sector. The utilization of steel mill gases (SMGs) and alternative CO2 sources (waste incineration plants (WIPs), lime industry) to produce renewable fuels of non‐biological origin (RFNBOs) and recycled carbon fuels (RCFs) are attractive options as a high share of RFNBOs can be achieved with a significant reduction in greenhouse gas (GHG) emissions compared to fossil fuel use.

The contribution of technological innovation, trade and economic development to renewable energy use in the United Kingdom, Germany and Turkey

AbstractThis paper examines the causal impact of the technological innovation, trade openness and economic growth on the renewable energy use (RE) in Germany, the United Kingdom and Turkey. To this end, Breitung and Candelon (Journal of Econometrics, 2006, 132, 363) causality test linked to Toda and Yamamoto (Journal of Econometrics, 1995, 66, 225) procedure is applied on data for the period 1985–2021. Our results indicate that the German RE is mainly affected by the technological innovation and economic growth, but over the long‐term. Regarding the United Kingdom, its RE dynamics is found to be significantly impacted by the technological progress, trade openness and output growth all together, but only during the long‐run. However, in Turkey, the RE long‐term pattern is mainly led by the technological innovation, while the RE short‐term dynamics is primarily drown by the trade openness. This study provides policymakers a better understanding of RE pattern to formulate appropriate policies dealing with energy security, sustainable development and environmental pollution.

Towards developing a national climate change framework in Tanzania: Evidence from taxing energy sources to enhance use of renewable energies as a mitigation policy

A stable mitigation policy requires an adequate legal framework for climate change. The energy sector contributes to about 80 % of total GHGs. The use of renewable energies is a solution to GHG reduction. A carbon tax has been acknowledged as one of the best mitigation policies as it tends to shift the tax burden to polluters and yields revenue, which relieves households.This study focused on developing Tanzania's national climate change framework by taxing energy sources to enhance the use of renewable energies as the mitigation policy. The study draw extensively on interviews and documentary data sources that reviewed international instruments, regional instruments, legislations, the Constitution of the United Republic of Tanzania, the National Energy Policy of 2015, the National Environmental Policy of 2021, Tax Statutes and the Tanzania Development Vision of 2025.The study revealed that, first, there are supplies not been carbon taxed irrespective of their qualification. Second, there are chapters within policies and sections within laws that hinder access to renewable energies. Third, there is no guiding framework that coordinates approaches across sectors and levels of government.The study concludes that from 2023, 9.7 % were using renewable energies and by 2033 getting to 80 % usage, requires investment leading to redressed policies and laws aligning to the introduced national climate change framework towards renewable energy access for carbon reduction.

Co-optimization of the operation and energy for AGVs considering battery-swapping in automated container terminals

Since the number of containers in automated container terminals (ACTs) has been growing, the operation of ACT relies on a large amount of electric power, which comes from the terminal energy system. As the main horizontal transportation equipment in ACTs, the scheduling of automated guided vehicles (AGVs) has become increasingly important. Even though AGV scheduling has been studied, the battery-swapping procedure is often overlooked, which hinders operation efficiency and the usage of renewable energy. We propose a co-optimization problem of the operation and energy for AGVs considering battery-swapping in this paper. A multi-objective model is constructed to minimize the makespan of AGVs and the operation and maintenance cost of energy system. In addition, we create a discrete multi-objective whale optimization algorithm to address this co-optimization problem. A load-balancing-based method for population initialization is developed to make the distribution of solutions more uniform in this algorithm. With the two-dimensional matrix encoding scheme, an individual right-shifted method is proposed for decoding. The best solution is assessed and selected through a fitness evaluation mechanism based on fuzzy correlation entropy. The bubble-net attack based on opposition-based learning is implemented to enhance the capacity for local intensification. Numerous tests confirm that the proposed method can guarantee the operation efficiency, lower the total cost of the energy system, and promote sustainable development in ACTs.

"An Integrated Model for Adopting Renewable Energy in IRAQ: A Standard Study for the Period (1992-2023)"

Data related to the study variables were collected for the period from 1992 to 2023, with the sample size reaching 31 observations for each variable. This research aims to review and analyze descriptive data for these multiple variables, which are related to different areas of renewable energy use and electricity consumption in Iraq. This research addresses important variables, including renewable energy, government policies related to it, and the level of public awareness of the subject. In addition, other variables such as electricity consumption, country's population, volume of imports and exports, economic growth, technological innovation, and foreign direct investment flows are analysed. The importance of this research is to understand the trends and factors influencing the field of renewable energy in Iraq, which can contribute to developing effective policies to promote the use of renewable energy and achieve environmental and economic sustainability in the country. Considering the negative impact, the variables EC (electricity consumption), NPG (population) and GP (economic growth) seem to have a negative impact on renewable energy production in the long run. Increased electrical consumption and population and economic growth can lead to increased demand for traditional sources of energy, reducing environmental sustainability and exposing the country to negative consequences in the future. On the other hand, the positive effect of the variables EG (economic growth), FDIF (foreign direct investment inflows), I (imports), PA (exports) and TI (technological innovation) on renewable energy production is shown. Increased investment in renewable energy infrastructure and adoption of clean technology can contribute to achieving environmental sustainability and boosting the economy. Using EViews 12 software, these variables will be analyzed according to available data with the aim of understanding trends, challenges and opportunities related to renewable energy in Iraq.

Relationship among micro-pollutants, economic growth, renewable energy, nanotechnology and ecological foot prints of China: evidence from panel data analysis.

An important concern is the availability of clean drinking water, which is an essential need for human survival. This issue arises due to the existence of hazardous micropollutants originating from various emission sources. Nanotechnology aids in the mitigation of micropollutants by assimilating and counteracting their effects, hence diminishing their influence on water and other ecosystems. The study investigates the relationship between nanotechnological progress, the adoption of renewable energy, environmental consequences, and economic growth in China, using the Environmental Kuznets Curve theory as a conceptual framework. The study employs panel cointegration tests to analyze structural breaks from 2000 to 2020. Nanotechnology is expected to reduce environmental degradation and the presence of micro-pollutants by increasing the use of renewable energy and promoting energy conservation. Nanotechnology is crucial for mitigating micro-pollutants and advancing sustainable development in this specific context. However, the literature also highlights the harmful consequences of nanoparticle emissions caused by nanotechnology on human and environmental health for a long duration, requiring more examination. This research is the first empirical inquiry into the relationship between improvements in nanotechnology, the use of renewable energy, economic growth, and ecological effect, all within the context of the Environmental Kuznets Curve theory. The results confirm the successful incorporation of all components with a focus on long-term outcomes. The findings suggest that the EKC hypothesis is relevant in China. In China, advancements in nanotechnology have a moderating effect on environmental degradation. The use of renewable energy sources in China enhances environmental circumstances. Given the offered empirical evidence, it is advisable for the government to have a leading role in the development of innovative nanotechnologies that have low emissions of nanoparticles. By using this approach, it will be possible to encourage the conservation of energy and the use of renewable sources in a more secure way, hence improving the effectiveness of sustainable development initiatives.

Mineral resources and equitable economic development: South Asian mineral resources policy perspective with innovation for resources efficiency

In the contemporary era, economies are heavily relying on minerals extraction, where the literature offers ambiguous evidence regarding minerals-growth nexus. To solve the puzzle, this research inspects the empirical association between mineral resources and economic prosperity in the South Asian nations from 1988 to 2022. This study also scrutinizes the importance of financial development, remittances, renewable energy use, and technological innovation. The research utilizes a panel dataset and applies the normality, stationarity, and cointegration tests. The results validates non-normal data distribution, stationarity of variables, and existence of long-run equilibrium association between them. To tackle non-normality and structural break issues, panel quantile regression and structural break ordinary least squares (OLS), are used. The study's results emphasize that mineral rents and remittances harm economic growth, indicating the poor outcomes associated with excessive dependence on external sources income. On the other hand, the factors identified as key drivers of sustainable economic expansion include financial progress, the use of green energy, and technical innovation. The results are tested for robustness via dynamic OLS, fully modified OLS, and canonical cointegration regression. This research recommends the significance of diversified revenue sources, fostering financial expansion, and making investments in renewable energy systems. To create more equitable growth, policymakers must focus on improved R&D and financial inclusion.

Energy security and its determinants in New Zealand

New Zealand relies on imported fossil fuels for about 38% of its primary energy. The country’s energy demand is expected to grow due to population and economic growth, which will put more pressure on the energy system. Besides, resource scarcity, energy price volatility, and environmental challenges have made energy security a major concern for New Zealand and other countries. Given the lack of significant research on the effects of energy security factors in New Zealand, this study aims to shed light on the primary determinants of energy security using the dynamic autoregressive distributed lag method based on time series data from 1978 to 2021. The study found that a long-run link exists between energy security and energy intensity (energy efficiency), renewable energy use, fossil fuel consumption, and global oil prices. Real GDP, renewable energy consumption, and energy security were found to improve energy security, while fossil fuel consumption and world oil prices had a negative impact. The study also revealed a one-way causality from real GDP, fossil fuel consumption, and renewable energy use to energy security. In contrast, the relationship between energy intensity and energy security is bidirectional. Simulation results showed that global crude oil prices have a lower impact on energy security compared to other variables and are most responsive to a 5% shock in fossil fuel consumption, followed by economic growth.

Assessment of hydrogen-induced material degradation using electromagnetic testing technology

The production, transport and use of green hydrogen are key issues for the efficient use of renewable energies. Hydrogen is able to compensate for both temporal and spatial fluctuations that naturally occur in the production and consumption of renewable energies, regardless of weather conditions, and thus can act as an efficient energy storage medium. The use of existing gas pipelines in a dynamically operated pipeline network offers particular potential for the transport of green hydrogen with regard to sustainability, resource conservation and economic efficiency. In this context, dynamic means that pressure fluctuations are permissible to a certain extent in the operation of gas pipelines. However, a hydrogen-induced degradation of the mechanical material properties can lead to brittle fracture and manifest itself in sudden material failure. Such failure must be excluded in safetyrelevant infrastructures. Hence, it would be beneficial to detect fatigued or degraded areas in the material at an early stage, especially in the context of possible increased crack growth rates associated with hydrogen embrittlement. In addition to fatigue data, which are crucial in the calculation and design of gas pipelines, non-destructive inspections are particularly important in subsequent operation to monitor the current condition of the pipelines. Non-destructive testing focuses primarily on defects such as cracks that have already developed or on visible corrosion attack. The fatigue condition, i.e., the probability of crack initiation and crack propagation is hard to evaluate. However, this can be addressed by an electromagnetic test method capable of evaluating the current state of the material. In the presented paper, an electromagnetic test method is presented, which is able to detect and evaluate hydrogen-induced material degradation. In subsequent stages, such a method can then be used as an electromagnetic monitoring system in fatigue tests, thus providing new potential for condition assessment.

Case Study: Green Event Through the Use of Renewable Energy in Organizing the Get the Fest 2022 Event

Events as a catalyst for the revival of tourism after the pandemic are the focus issues in event development in Indonesia. Events are one of the typical tourism activities with a "life experience" that provides a complete experience to tourists who travel with special motivation. The event itself is a sector that is able to provide economic growth and multiplier effect such as job opportunities, improving destination image and growing regional income. However, along with the growth in the level of event organization, negative impacts are also visible, especially on the environmental sector. This research aims to further examine the concept of green event in Get the Fest activities, the extent to which this event can apply the concept, and what are the benefits that can be felt directly or indirectly by the event participants themselves. This research uses a descriptive qualitative method by describing a phenomenon in detail and presenting the data found in detail. The study found that event organizers are starting to take a more environmentally friendly approach by using the green event concept. However, as an emerging trend, the concept of Green Event is wide with different methods of application. The case studied in this research that held in early 2024 is the implementation of green event at the "Get the Fest" event which implements environmentally friendly events through the use of renewable energy.

Taking Advantage of Spare Battery Capacity in Cellular Networks to Provide Grid Frequency Regulation

The increasing use of renewable energies places new challenges on the balance of the electricity system between demand and supply, due to the intermittent nature of renewable energy resources. However, through frequency regulation (FR) services, owners of battery storage systems can become an essential part of the future smart grids. We propose a thorough first study on the use of batteries associated with base stations (BSs) of a cellular network, to participate in ancillary services with respect to FR services, via an auction system. Trade-offs must be made among the number of participating BSs, the degradation of their batteries and the revenues generated by FR participation. We propose a large-scale mathematical programming model to identify the best participation periods from the perspective of a cellular network operator. The objective is to maximize profit while considering the aging of the batteries following their usage to stabilize the electrical grid. Experiments are conducted with data sets from different real data sources. They not only demonstrate the effectiveness of the optimization model in terms of the selection of BSs participating in ancillary services and providing extra revenues to cellular network operators, but also show the feasibility of ancillary services being provided to cellular network operators.

Comparative life cycle assessment (LCA) of pre-treatment technologies for desalination in South Africa

In the context of South Africa’s water scarcity, desalination has emerged as a possible solution for coastal areas. However, the quality of the intake water for desalination is often problematic, prompting the need for pre-treatment. The aim of this study was to conduct a comparative environmental life cycle assessment (LCA) on 4 seawater filtration systems intended for the pre-treatment of a reverse osmosis desalination project. These systems were implemented in a pilot trial and are based on modern water treatment technologies, namely, granular filtration (pressure driven and gravity driven), dissolved air flotation (DAF), and ultrafiltration (UF). For all 4 systems, data were collected for both the construction and operation phases, and LCAs were performed, resulting in environmental scores that allow for comparison based on the pre-treatment of 1 kL of seawater of the same quality. The SimaPro LCA tool and the ReCiPe midpoint method were used and environmental scores were calculated for 18 impact categories, including climate change, acidification, toxicity, eutrophication, resource depletion, etc. This methodology also allowed the identification of the highest environmental burdens/scores within each system. The most significant finding is that local electricity consumption is responsible for the greatest proportion of environmental impacts. Thus, the systems consuming more energy for operating equipment such as blowers, pumps, and mixers were found to have the highest environmental burdens. Hence, the DAF system has the highest environmental scores for most impacts, followed by the single-phase gravity filtration system, then the two-phase partial pressure filtration system and finally the UF system. Therefore, focus should shift towards energy optimisation of process units, especially the rotary ones, as well as energy mitigation and recovery strategies. The use of renewable energy for pre-treatment should also be considered locally.

Pendekatan Konsep Penerapan Green Infrastructure Pada Kawasan Perumahan Berbasis Komunal

This research aims to discuss policies and implementation of green infrastructure in Indonesia in communal-based housing areas. The references used for come from problems and best practices from other countries that have implemented green infrastructure. The method used is a descriptive method with a literature review approach. This research was carried out by understanding concepts, regulations, application of concepts, as well as identifying problems and providing recommendations related to green infrastructure in Indonesia. Based on the research results, there are six main regulations that serve as a reference for implementing green infrastructure in residential areas in Indonesia. Where the important thing in this regulation is Green Open Space (RTH) in the city with a minimum area proportion of 30%, rainwater storage is also set at a capacity of 50% of the amount of rainwater that falls according to annual rainfall and a general room temperature of 25 degrees Celsius. with relative humidity of 60%. The main problem is that 30% to 40% of carbon dioxide emissions are produced by buildings, which shows that buildings have a significant contribution to the process of environmental damage, as do residential areas. In Indonesia, the concept of green infrastructure that is applied is oriented towards zero energy use and the use of renewable energy. Holistic policy regulations are needed, from upstream to downstream as a form of implementing green infrastructure in residential areas, such as several developed countries in the world, namely the United States, England and Singapore, which have implemented policy regulations for sustainable implementation of green infrastructure in their countries.

How mineral resources rent collaborate with consumer price index, environmental policies, and economic performance in Türkiye and India: Evidence from artificial neural networks and machine learning

AbstractTaking focus on the possible effects on welfare and environmental issues in Türkiye and India, this study explores the relationship between the leasing of mineral resources (MRs), economic performance, use of renewable energy, and environmental policies. The study estimates changes in MRs throughout economic expansion using artificial intelligence (artificial neural network [ANN]) and supervised machine learning (SML). It focuses on important variables like index of stringency of environmental policies and the consumer price index, the conclusions of the ANN, ensemble method, and ML studies show how sensitive quarterly changes in the rent on MRs are to changes in the consumer price index, economic performance, and the use of renewable energy. Evaluation criteria such as root mean square error (RMSE), mean absolute error (MAE), mean square error (MSE), mean absolute percentage error (MAPE), and coefficient of determination highlight how much better ML models predict outcomes than ANN trials. In particular, the ML findings show an outstanding R2 of 0.99, an MAE of 0.6625, an MSE of 0.8324, a MAPE of 35.3677, and an RMSE of 0.9123 for India. Türkiye's machine learning results, on the other hand, display an MAE of 0.0164, an MSE of 0.0007, MAPE of 66.1594, RMSE of 0.0279, and a strong R2 of 0.98. For ANN, the error histogram is plotted to assess the model. The extremely low value of 0.0090 and 0.010, respectively, for Türkiye and India on the error histogram reflects the exceptional prediction quality. Türkiye and India have abundant MRs; however, they must be managed correctly for long‐term sustainability. Future researchers may verify this work using time series or panel data from other disciplines. This study examines factors affecting sustainable economic growth, including MR use, environmental policies, and eco‐friendly innovations. Other indicators, such as energy efficiency, carbon dioxide emissions, renewable energy consumption, and global value chain participation, may provide a different perspective. This study's conclusions should be verified by more research employing other geographic locations and others machine learning methods, as well as to illustrate how sustainable development is influenced by other variables.

Knowledge mapping and evolutionary analysis of energy storage resource management under renewable energy uncertainty: a bibliometric analysis

The research on energy storage resource management is an important measure to cope with the present problem of uncertainty in the use of renewable energy, in order to explore the evolution of the research focus and future trend of energy storage resource management under the uncertainty of renewable energy, this paper adopts the method of bibliometric analysis, and conducts a visual analysis of the relevant 800 documents in the core collection of the Web of Science by using the CiteSpace to draw co-occurrence maps and analyze the collaborative networks of different countries/regions, institutions and authors in this field, and further conducted journal co-citation analysis, literature co-citation analysis and author co-citation analysis. The keyword co-occurrence, emergent analysis, and cluster co-occurrence analysis reveal the current research focus and trend in this field, and summarize and propose four future key focus directions: energy storage technology improvement, energy storage system integration, expansion of business models for energy storage resource management, and intelligent control of energy storage system, which provide new research paths for solving the problem of renewable energy uncertainty in the future.