Adoption Of Renewable Energy Research Articles

An assessment of the effect of gross capital formation and financial development on Renewable Energy Consumption in middle-income nations: Does FDI act as a boosting factor? Evidence from CS-ARDl and NARDL framework

The association between foreign direct investment (FDI), gross capital formation (GCF), financial development, and renewable energy usage is investigated in this research (REC). The research used the CS-ARDL and NARDL estimates to examine the correlation among REC, FDI, GCF, and financial development. The results demonstrate a strong and statistically valid positive correlation in both the immediate and prolonged periods. Whether innovation in FDI is favourable or bad, it may ultimately affect REC, either by accelerating or diminishing it. Additionally, the research emphasizes a substantial and statistically valid association between REC and GCF, demonstrating that domestic capital creation has a favourable effect on the incorporation of clean energy. Furthermore, the data demonstrates a noteworthy association between financial development and renewable energy certificates (RECs), suggesting that the financial incentivizes facilitated by financial development play a pivotal role in encouraging the widespread use of REC. The results shown in this research are consistent with prior scholarly works and have substantial ramifications for comprehending the intricate interplay of sustainable energy, foreign direct investment (FDI), gross capital formation (GCF), and financial growth. However, the research emphasizes the need to conduct a thorough assessment of the characteristics and quality of foreign direct investment (FDI) inflows. Furthermore, it emphasizes the need to promote equitable and sustainable development in the renewable energy industry while considering its impacts on society and the environment. In addition, the report highlights the possible social and environmental repercussions that may result from renewable energy initiatives sponsored locally. This underscores the importance of establishing resilient policy frameworks and efficient governance mechanisms to guarantee that financial development, foreign direct investment (FDI), and the Green Climate Fund (GCF) all contribute to fostering sustainable and equitable expansion in the utilization of renewable energy. As a result, the study's results provide significant contributions to the understanding of how to optimize the use of financial development, green climate funds (GCF), and foreign direct investment (FDI) in order to promote the adoption of renewable energy. But before formulating sustainable approaches to encourage the use of renewable energy, it is vital to do a thorough evaluation of the broader ramifications and associated variables.

A review of sustainable environmental practices and their impact on U. S. economic sustainability

This research explores the dynamic interplay between sustainable environmental practices and economic sustainability in the United States. Through a comprehensive literature review, we investigate the multifaceted dimensions of sustainable practices, examining renewable energy adoption, waste management strategies, and sustainable agriculture. The study unveils the economic impacts, including job creation, innovation, and market opportunities. Despite initial costs and policy uncertainties, opportunities arise from consumer demand, policy interventions, technological advancements, and collaborative efforts. Future directions include technological innovation, circular economies, global collaborations, and revised economic metrics. Ultimately, this research underscores the imperative of harmonizing economic prosperity with environmental responsibility for a resilient and sustainable future.

Renewable energy technologies in engineering: A review of current developments and future prospects

This comprehensive review examines the current state of renewable energy technologies within the field of engineering, analyzing recent developments and outlining future prospects. As the global demand for sustainable energy solutions continues to rise, understanding the advancements in renewable technologies becomes crucial for the engineering community. The review encompasses a diverse range of renewable sources, including solar, wind, hydropower, biomass, and geothermal energy. The solar energy sector has witnessed remarkable progress, with innovations in photovoltaic materials, energy storage, and efficiency enhancements. Advancements in wind energy technologies focus on improving turbine designs, optimizing energy conversion, and exploring offshore wind farms. Hydropower developments emphasize sustainable and eco-friendly dam designs, while biomass technologies explore novel methods for efficient biofuel production. Geothermal energy, often overlooked, is gaining momentum with advancements in enhanced geothermal systems and innovative drilling techniques. The review also delves into the integration of renewable energy sources into smart grids, promoting efficient energy distribution and storage. Additionally, it addresses the role of artificial intelligence and machine learning in optimizing renewable energy systems, enhancing predictability, and maximizing energy output. Furthermore, the review emphasizes the importance of policy frameworks and financial incentives in driving renewable energy adoption. The ongoing transition towards decentralized energy systems and the exploration of novel materials for energy capture and storage are highlighted as key areas for future research. The potential of emerging technologies such as perovskite solar cells and floating offshore wind farms is also discussed. This review provides a holistic overview of the current landscape of renewable energy technologies in engineering, offering valuable insights into the advancements made thus far and outlining the promising prospects for a sustainable energy future. Engineers and researchers will find this review instrumental in navigating the evolving field of renewable energy and contributing to the ongoing global efforts towards a greener and more sustainable energy landscape.

Paving the Way for Climate Resilience through Sustainable Urbanization: A Comparative Study

This study explores the crucial role of sustainable urbanization in addressing the climate crisis and fostering socio-economic development. Rapid urban population growth presents cities with unprecedented challenges, including ecological degradation, public health issues, and escalating greenhouse gas emissions. Sustainable urbanization emerges as a pivotal strategy to tackle these challenges by advocating for environmentally responsible practices, enhancing urban resilience, and fostering inclusive economic growth. The article conducts a comparative analysis of sustainable urbanization initiatives in diverse cities, with a focus on their approaches to reducing carbon footprints, enhancing disaster resilience, and improving overall quality of life. Examining case studies from Copenhagen, Curitiba, Singapore, Stockholm, and Melbourne, the research highlights innovative strategies in sustainable transport, renewable energy adoption, waste management, and green space integration. These cities serve as exemplars, showcasing successful solutions such as efficient public transportation systems, robust waste recycling programs, promotion of renewable energy, and prioritization of green spaces. The overarching message of this research underscores the critical need for coordinated, cross-sectoral efforts to unlock the full potential of sustainable urbanization. A holistic approach that integrates environmental, social, and economic dimensions is essential for creating urban environments that are resilient, inclusive, and sustainable. This comprehensive strategy not only addresses the climate crisis but also contributes significantly to achieving global sustainability goals.

The nitrogen footprint of Ukraine: why personal consumption matters

Unintended reactive nitrogen (N) losses from agriculture, energy and transportation pose significant environmental hazards, including eutrophication, acidification, water and air pollution, biodiversity loss, human health risks and climate change. The concept of a nitrogen footprint (NF) emerges as a pivotal metric, reflecting potential N losses in the entire production-consumption chain of goods and services used by an individual within a defined timeframe.In a pioneering assessment of per capita NF in Ukraine, key factors, such as the food production chain, consumption patterns, connection to wastewater treatment (WWT) system and the efficacy of WWT facilities, were identified as critical components. Addressing specific challenges, such as data availability, soil N depletion and manure waste, was found to be particularly complex. The apparent high nitrogen use efficiency in Ukrainian cropping systems was highlighted to be actually reflected in the elevated N mineralization rate in Ukrainian soils characterized by high organic matter content. The individual Ukraine NF (22.1 kg N cap−1 yr−1 as of 2017) was found to be much lower than that of the US and Australia being comparable to Western European countries. Even so, significant opportunities for reduction remain through a wide range of options towards healthier and more sustainable dietary choices. Potential reductions, ranging from 22% to 69%, were shown for omnivore, reduced red meat, no red meat, half meat products, vegetarian and vegan diets. In the absence of proper manure management in Ukraine, even greater reductions of an ‘actual’ NF can be achieved if wasted N manure is considered.The war’s impact is assumed to result in a slight increase or no changes in individual food consumption NFs and an increase in food production NFs for local products, while reductions in individual transport and energy NFs were likely across Ukraine. Nonetheless, refugees massively displaced to less affected regions overload a largely outdated civilian infrastructure, leading to higher N losses.Looking ahead, sustained support, capital investments, legislative enhancements and regulatory frameworks, especially upon post-war renovation of Ukraine, are imperative for reducing the individual NF. This involves enhancing nitrogen use efficiency in agriculture, establishing efficient manure management, upgrading WWT facilities, promoting renewable energy adoption, bolstering requisite infrastructure and raising public awareness on environmental sustainability.

Reducing transport sector CO2 emissions patterns: Environmental technologies and renewable energy

The research explores the impact of environmental technologies and renewable energy on carbon dioxide (CO2) emissions from the EU transportation sector (2007–2020). Utilizing panel corrected standard error and feasible generalized least squares methods, the study uncovers key drivers influencing declining CO2 emissions. The results reveal a significant and variable effect of environmental technologies and renewable energy on CO2 emissions in the EU transport sector, emphasizing the positive correlation between increased renewable energy adoption and emission reduction. This underscores the necessity for heightened EU investment in sustainable transport infrastructure and clean energy solutions, encompassing initiatives like electric vehicles, hydrogen fuel cells, and biofuels. The study further recommends promoting renewable energy sources for transport systems, aligning with the broader goals of the European Green Deal and the EU Climate Law. Additionally, the research provides essential insights into policy implications, emphasizing a multifaceted approach including comprehensive strategies for cleaner transportation, innovation, and education to accelerate the transition towards sustainable practices in the EU.

Continuum modeling of high-temperature (>1000 °C) heat extraction from a moving-bed oxidation reactor for thermochemical energy storage

There is a growing need for efficient and reliable energy storage technologies to expand renewable energy adoption and transit to a decarbonized clean energy future. Thermochemical energy storage (TCES) through reversible gas-solid reactions has exhibited considerable potential. Up to now, TCES has primarily been studied at the material level and within lab-scale reactors. As such, accurate numerical models are needed for further reactor design and scale-up. In this work, a transient three-dimensional heat and mass transfer continuum model was developed to simulate the transport phenomena coupled with exothermic oxidation of magnesium‑manganese-oxide particles in a high-temperature moving-bed reactor for TCES. The reactor included direct heat extraction at temperatures >1000 °C. The predicted temperature distributions, oxygen concentration profiles, and steady-state reactor energy extraction efficiency were in good agreement with measured values from a corresponding experimental setup. The performance of the reactor was further investigated through two parametric studies (varied particle flow rates and gas extraction ratios), which demonstrated a strong dependence of reactor efficiency (varied between 15 %–40 %) on both operating parameters. The present heat and mass transfer model will be valuable in further reactor design and scale-up studies, as well as for selection of operating conditions to maximize efficiency.

Solar Energy Adoption on Local Economic Growth: A Linear Regression Study

The transition to solar energy adoption emerges as a dual solution for climate change and economic growth. This study comprehensively explores the intricate relationship between solar adoption and regional economies, focusing on key players like China, the EU, and the US. Notably, positive correlations between solar adoption, GDP growth, and employment rates are illuminated. However, certain gaps exist in understanding the potential impacts on wages and consumption patterns within these economies. Employing a comprehensive index and rigorous regression models, this study provides robust evidence that underlines the significant economic benefits associated with solar energy adoption. Such findings hold valuable implications for policymakers and stakeholders committed to sustainable growth. By leveraging the untapped potential of solar energy, nations can tailor strategies that not only contribute to environmental preservation but also spur economic prosperity. In conclusion, this study reinforces the interconnectedness between solar energy integration and regional economic performance. By recognizing the complex interplay between these factors, policymakers are better equipped to steer their countries towards a more sustainable and economically resilient future. The insights gained contribute to the ongoing dialogue surrounding renewable energy adoption, emphasizing its role in shaping prosperous and ecologically balanced societies.

Analysis of Economic and Environmental Benefits of Green Business Practices in the Hospitality and Tourism Sector

This research presents an analysis of the economic and environmental benefits resulting from the adoption of green business practices in the hospitality and tourism sector. The study explores the growing significance of sustainability in this industry and investigates the specific findings and advantages associated with embracing environmentally friendly practices. By conducting a comprehensive review of pertinent literature, incorporating case studies, and examining empirical evidence, this article provides valuable insights into the potential economic and environmental benefits of green practices in the hospitality and tourism sector. The analysis reveals that green business practices in the hospitality and tourism sector can lead to substantial cost savings and improved operational efficiency. Implementation of energy and resource management strategies, such as energy-efficient lighting, water conservation measures, waste reduction, and sustainable procurement, can result in reduced operational costs and enhanced overall efficiency. Furthermore, the study finds that adopting green practices can generate new revenue streams and differentiate businesses in the market. Effective eco-friendly branding and marketing strategies attract environmentally conscious consumers, leading to increased customer loyalty and potential revenue growth. The analysis also uncovers the positive environmental impacts of green practices, including reduced carbon emissions, waste generation, and resource consumption. Measures like renewable energy adoption, waste recycling, and water conservation contribute to a reduced carbon footprint, conservation of natural resources, and preservation of local ecosystems and biodiversity. Governmental support and incentives are identified as crucial drivers in the adoption of green business practices in the hospitality and tourism sector.

Development of an efficient vehicle-to-grid method for massive electric vehicle aggregation

The growing adoption of renewable energy and electric vehicles (EVs) has contributed to environmental sustainability; nevertheless, integration of these products into the power grid has become complex owing to their unpredictable nature and variable energy demands. A significant challenge lies in the realization of large-scale, coordinated control of EVs to serve as an alternative to traditional energy storage systems. This challenge is underscored by the complexity of optimization in large-scale cooperative control problems and the difficulty in reducing such problems to an easily manageable and practical level in real-world application. In response to these challenges, a practical mechanism for the integration of EVs into a vehicle-to-grid concept is proposed in this study. In this approach, the constraints involved in merging multiple EVs into a fictitious clustered energy storage unit, which are often neglected, are given renewed focus. An iterative multi-stage optimization method is introduced that includes an EV aggregation clustering model, multi-tier optimization model, and recursive framework. Here, marked efficacy for larger EV fleets is demonstrated for this method, providing optimal charging and discharging schedules for each vehicle while a high degree of precision is maintained. With the proposed technique, validated through numerous case studies using historical data, the global optimum solution is largely approximated, with a marginal deviation of 4 %. In addition, robustness of the model is demonstrated under varying pricing scenarios, with a computation time that increases in a linear manner, rather than exponentially, as the number of EVs increases. Meanwhile, compared with conventional methods, the technique proposed in this study has the capacity to fulfill the charging demands of all users with reduced charging expense, demonstrating the high precision and efficacy of the technique.

Renewable Energy and Economic Growth: Evidence from India

This article examines the nexus between economic growth and two renewable energy sources, namely wind and solar, to separate out the contrast between these two sources, for India deploying system generalised method of moments and vector error correction method suitable to capture the dynamic nature of panel data. Unlike most of the earlier studies, it takes into account cross-sectional dependence and addresses the issue of endogeneity. India has been chosen because despite India being one of the largest producers of renewable energy globally; the nexus is under-studied. This article finds the installation of solar energy capacity positively influences the Gross State Domestic Product (GSDP) growth. Moreover, there is a bi-directional positive relation between the installation of wind energy capacity and GSDP growth. Hence the adoption of renewable energy is helping the states to grow faster. However, the study found not much difference in the nature of the nexus between solar energy growth and wind energy growth for India. JEL Codes: O13, P28, P44, Q56

Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries

This study examines the relationship between economic factors and environmental sustainability in OECD (Organisation for Economic Co-operation and Development) countries from 1990 to 2022, with a particular focus on the impact of renewable energy consumption and environmental technologies on CO2 emissions. The research utilizes empirical data to establish a clear negative correlation between the adoption of renewable energy sources and the level of CO2 emissions, highlighting the effectiveness of renewable energy in reducing the environmental impact of economic activities. This finding supports the theoretical perspective that transitioning to cleaner energy sources is vital for achieving environmental sustainability and aligns with the objectives of the OECD’s environmental sustainability program. Further analysis reveals a significant negative impact of environmental technologies on CO2 emissions, underscoring the importance of technological innovation in environmental conservation efforts. The study also explores the dual influence of GDP growth, urbanization, industrialization, and trade on CO2 emissions, revealing both positive and negative effects across different stages of economic development. Initially, these factors contribute to increased emissions, but as economies mature and integrate more efficient and cleaner technologies, their impact on emissions becomes negative. These findings demonstrate the complex interplay between economic development and environmental sustainability and emphasize the need for policies that encourage renewable energy adoption, support environmental technological innovations, and guide economies towards sustainable practices. The study provides valuable insights for policymakers and stakeholders, advocating for an integrated approach to ensure long-term environmental sustainability in OECD countries.

Engaging Communities In Renewable Energy Projects For Sustainable Development

The pressing need to battle climate change and make the shift to sustainable energy sources has led to the emergence of renewable energy projects as critical solutions. While reducing the negative environmental effects of conventional fossil fuels, these programs hold up the prospect of clean, plentiful energy. However, the effective adoption of renewable energy into our world's energy system involves more than simply technological improvements; it also calls for the support and active participation of local communities. This study examines the value of community involvement and evaluates measures to strengthen local community to support renewable energy projects. With an emphasis on social acceptance, customized project design, and economic potential, the significance of incorporating local communities in the planning, implementation, and management of renewable energy projects are examined. The examination of capacity-building projects also reveals information about education and training activities, community leadership growth, technological transfer, and knowledge exchange. The advantages of combining resources, encouraging innovation, and promoting supportive policies are highlighted in the collaborative partnerships between governments, NGOs, business organizations, and local communities. Renewable energy projects may genuinely become engines for sustainable development by embracing community involvement and capacity-building, meeting local needs and aspirations while paving the path for a greener and more resilient future

Factors influencing the adoption of renewable energy in India: supplementing technology-driven drivers and barriers with sustainable development goals

PurposeThis empirical research intends to examine factors influencing the adoption of renewable energy (RE) using a conceptual model of the consumer decision-making process.Design/methodology/approachThis study uses a primary response-based survey to collect data from 668 respondents interested in adopting RE for their daily usage. The sample respondents were chosen through a multi-stage random stratified technique. The responses were analyzed through structural equation-based modeling techniques to discuss the findings and suggest further implications.FindingsThe findings suggest that factors like knowledge, policy incentives, sustainable development goals (SDGs-7, 11 and 13), socio-economic benefits and risk perception significantly impact the adoption of RE. Besides, risk perception mediates between environmental concerns and the adoption of RE. Also, age has a significant role in RE adoption.Social implicationsThe study finds the critical role of government in introducing financial incentives to reduce the initial cost of renewable adoption. Doing so will also promote clean and equitable energy access to society leading to further fulfillment of SDGs. Additionally, steps like knowledge enrichment, designing suitable policies for a manufacturer and public-friendly renewable market development will further facilitate renewable adoption in society.Originality/valueWith an objective to study the public perception and attitude towards renewable adoption, this empirical research is the first of its kind to carry out a real-time survey of the Indian population and suggest policy implications which would benefit all the concerned stakeholders.

Renewable energy, economic development, energy consumption and its impact on environmental quality: New evidence from South East Asian countries

In light of the COP28 summit's emphasis on renewable energy as a key solution for climate change and energy security, this study focuses on Southeast Asian countries, where the potential and impact of renewable energy remain underexplored amidst pressing environmental and global warming challenges. This research aims to fill the gap by examining how renewable energy can mitigate environmental degradation and drive economic growth in this region, contributing to the broader discourse on renewable energy's global relevance and application. Employing the Environmental Kuznets Curve (EKC) framework and the Generalized Method of Moments (GMM) estimation technique, this research analyzes data from 1975 to 2022 to examine the long-term impact of renewable energy adoption in these economies. The findings reveal that renewable energy significantly reduces environmental pollution and contributes positively to environmental sustainability. The findings indicated that coal-based energy consumption has contributed more to environmental degradation than energy obtained from natural gas. These results underscore the synergistic relationship between renewable energy utilization and environmental health, providing a clear pathway for policy development. This study emphasizes the importance of integrating renewable energy into economic policies in order to achieve environmental sustainability and cost-effective degradation reduction in line with Sustainable Development Goals (SDGs).

Effect of Trade and Industrialisation on Environmental Sustainability: The Case of African Countries

This study explores the effect of trade and industrialisation on environmental sustainability in Africa. To achieve the study objective, the pooled mean group estimation strategy was employed on data from 1990 to 2019 for 38 selected African countries. Findings are indicative that trade has a negative and significant effect on ecological footprint in the long run. It is iemplied that trade enhancement has the tendency to enhance environmental sustainability in African countries. In addition, industrialisation has a positive and significant effect on ecological footprint. Implied is that industrialisation dampens environmental sustainability in African countries. Similarly, foreign direct investment inflows into African countries exert a positive but insignificant effect on ecological footprint. The result further depicts that economic growth positively and significantly impacts ecological footprints in African countries. Also, renewable energy consumption has a negative and significant effects on ecological footprint, suggesting that the adoption of renewable energy plays a crucial role in enhancing environmental sustainability in African countries. The short-run result reveals no significant relationship between trade, industrialisation, foreign direct investment and ecological footprints. Population growth has a positive effect on ecological footprint, albeit not a statistically significant effect. Furthermore, the result depicts that renewable energy consumption has a negative and significant effect on ecological footprints in African countries. On the strength of the findings, we recommend the stimulation of domestic trade and the strengthening of industrial policies to ensure environmental sustainability in African countries. JEL Codes: C33, F14, F18, R11

Powering a sustainable future: Does economic structure influence the ecological footprint?

AbstractTo achieve sustainable development goal (SDG) 7 the world needs a lot of catching up. India has been at the forefront of renewable and clean energy missions and its ecological footprint of 0.8 global hectares fares quite well vis‐à‐vis the world average. This study, spanning from 1990 to 2021, investigates the impact of structural changes, technological innovation, and renewable energy adoption on India's ecological footprint, utilizing a novel dynamic Autoregressive Distributed Lag (ARDL) simulation for both short and long‐term analysis. We find that agriculture exerts a significant increase in the ecological footprint, both in the long run and the short run. Similarly, industry value added has a positive and statistically related to the ecological footprint. However, the result of the service sector indicates negative influence on ecological footprint in the long run, but a positive and significant relation with ecological footprint in the short run. Technological innovation has shown a favorable effect on the environment by reducing ecological footprint. Renewable energy consumption has also enhanced environmental quality by reducing ecological footprint in both short run and long run. To reach SDG 7 goals and lower India's ecological footprint, policy implications include promoting renewable energy, sustainable practices in agriculture and industry, and encouraging technological innovation.

Hydrothermal performance assessment of a parabolic trough with proposed conical solar receiver

Parabolic Trough Collectors (PTCs) are commonly employed in both industrial and residential settings for the purpose of harnessing solar energy. Several techniques have been implemented to improve performance, such as altering the geometry of the absorber tube, enhancing the selective coatings of the receiver envelope, and utilizing nanofluids. This study proposes a new method for enhancing the thermal-hydraulic efficiency of PTCs through the utilization of non-uniform heat flux distribution on conical solar receiver. The effectiveness of this approach is evaluated through numerical simulations conducted using Ansys Fluent with the aid of optical simulation performed using TracePro. The geometry under consideration is assessed at various diameter ratios (DR) spanning from 1.25 to 2 and Reynolds number (Re) ranging from 20000 to 100000, with increments of 20000. This evaluation is conducted at three distinct inlet temperatures: 150 °C, 250 °C, and 350 °C. The studied parameters include-the Nusselt number (Nu), friction coefficient (f), thermal efficiency (ηth), exergetic efficiency (ηex), and thermal enhancement factor (TEF). Furthermore, a comparative analysis is conducted between the newly proposed geometric design and a traditional straight absorber and glass structure. The findings indicated that a conical receiver generally enhances system heat transfer by a minimum of 7 % and up to 65 %, resulting in improved thermal and exergetic efficiencies. Decreasing the pipe outlet diameter from DR = 1.25 to DR = 2 led to a significant exponential rise in the friction coefficient. The TEF demonstrated that a diameter ratio of 1.25 and 1.5 resulted in maximum values of 1.19 and 1.11, respectively, at high Re and an inlet temperature of 350 °C. The results suggested that incorporating conical receivers in PTCs can greatly improve their performance. To minimize the friction coefficient and associated pumping power, it is crucial to carefully evaluate the reduction of the diameter of the absorber outlet. The results offered valuable insights for the development and improvement of PTCs in both industrial and power generation settings, promoting the adoption of renewable energy and supporting long-term sustainability.

A method to bridge energy and process system optimization: Identifying the feasible operating space for a methanation process in power-to-gas energy systems

The growing adoption of renewable energy is driving the integration of new, complex process technologies into energy systems, presenting operational optimization challenges. Simple models are necessary for computational tractability, yet detailed models are essential for feasible operating decisions. This work introduces a method for optimally operating an energy system with integrated complex process technologies. The proposed method bridges the mathematical modeling and optimization at energy and process system levels. Simple surrogate models and detailed process models are used to represent complex process technologies at their respective system levels. The resulting operational problems are solved through a sequential iterative approach. Applied to a power-to-gas energy system with an integrated methanation process, our method outperforms a benchmark method by capturing interactions between energy and process system levels, and among different process variables. The proposed method integrates more detailed constraints and ramping costs, yielding an optimal, feasible operating strategy within tractable computational time.

Computational approach inspired advancements of solid-state electrolytes for lithium secondary batteries: from first-principles to machine learning.

The increasing demand for high-security, high-performance, and low-cost energy storage systems (EESs) driven by the adoption of renewable energy is gradually surpassing the capabilities of commercial lithium-ion batteries (LIBs). Solid-state electrolytes (SSEs), including inorganics, polymers, and composites, have emerged as promising candidates for next-generation all-solid-state batteries (ASSBs). ASSBs offer higher theoretical energy densities, improved safety, and extended cyclic stability, making them increasingly popular in academia and industry. However, the commercialization of ASSBs still faces significant challenges, such as unsatisfactory interfacial resistance and rapid dendrite growth. To overcome these problems, a thorough understanding of the complex chemical-electrochemical-mechanical interactions of SSE materials is essential. Recently, computational methods have played a vital role in revealing the fundamental mechanisms associated with SSEs and accelerating their development, ranging from atomistic first-principles calculations, molecular dynamic simulations, multiphysics modeling, to machine learning approaches. These methods enable the prediction of intrinsic properties and interfacial stability, investigation of material degradation, and exploration of topological design, among other factors. In this comprehensive review, we provide an overview of different numerical methods used in SSE research. We discuss the current state of knowledge in numerical auxiliary approaches, with a particular focus on machine learning-enabled methods, for the understanding of multiphysics-couplings of SSEs at various spatial and time scales. Additionally, we highlight insights and prospects for SSE advancements. This review serves as a valuable resource for researchers and industry professionals working with energy storage systems and computational modeling and offers perspectives on the future directions of SSE development.