Energy Sector Research Articles

Resource Efficiency and the Role of Renewable Energy in Miskolc: The City’s Journey Towards Becoming a Smart City

Miskolc, which is the focus of our investigation, is the fourth most populous city in Hungary and the center of one of the most underdeveloped NUTS2 (basic territorial category for the regional policy of the European Union) regions in the European Union. The socialist heavy industry played a decisive role in the development of the city, the decline of which also left deep traces in the city. In its current position, the city tries to manage its available resources as efficiently as possible, and the city management is open to the use of modern urban development tools. This is supported by the fact that Miskolc was the first Hungarian city to join the Green Cities for Sustainable Europe movement in 2011, and then in 2015, it joined the Triangulum project of the EU Smart Cities and Communities program as a follower city. In the process of becoming a smart city, the dimensions of environmental sustainability and energy efficiency were given a prominent role, which should not be surprising considering the traditions of the city. Within this, we must first mention the construction of the geothermal central heating system, with which the city really took significant steps in this field. The main goal of the study is to develop a new smart local concept closely linked to regional development and the key energy sector, through which the local adaptation of the defining elements of the internationally defined smart city in several forms for the city of Miskolc will be presented. In our study, we review how the results achieved by Miskolc so far and the development plans for the future fit in with the smart energy developments of smart cities. Before exploring the processes in Miskolc, we will deal in more detail with the possibilities inherent in district heating and geothermal energy utilization and Hungary’s capabilities.

Recent Advancements in Applying Machine Learning in Power-to-X Processes: A Literature Review

For decades, fossil fuels have been the backbone of reliable energy systems, offering unmatched energy density and flexibility. However, as the world shifts toward renewable energy, overcoming the limitations of intermittent power sources requires a bold reimagining of energy storage and integration. Power-to-X (PtX) technologies, which convert excess renewable electricity into storable energy carriers, offer a promising solution for long-term energy storage and sector coupling. Recent advancements in machine learning (ML) have revolutionized PtX systems by enhancing efficiency, scalability, and sustainability. This review provides a detailed analysis of how ML techniques, such as deep reinforcement learning, data-driven optimization, and predictive diagnostics, are driving innovation in Power-to-Gas (PtG), Power-to-Liquid (PtL), and Power-to-Heat (PtH) systems. For example, deep reinforcement learning has improved real-time decision-making in PtG systems, reducing operational costs and improving grid stability. Additionally, predictive diagnostics powered by ML have increased system reliability by identifying early failures in critical components such as proton exchange membrane fuel cells (PEMFCs). Despite these advancements, challenges such as data quality, real-time processing, and scalability remain, presenting future research opportunities. These advancements are critical to decarbonizing hard-to-electrify sectors, such as heavy industry, transportation, and aviation, aligning with global sustainability goals.

Hydrogen Materials and Technologies in the Aspect of Utilization in the Polish Energy Sector

Currently, modern hydrogen technologies, due to their low or zero emissions, constitute one of the key elements of energy transformation and sustainable development. The growing interest in hydrogen is driven by the European climate policy aimed at limiting the use of fossil fuels for energy purposes. Although not all opinions regarding the technical and economic potential of hydrogen energy are positive, many prepared forecasts and analyses show its prospective importance in several areas of the economy. The aim of this article is to provide a comprehensive review of modern materials, current hydrogen technologies and strategies, and show the opportunities, problems, and challenges Poland faces in the context of necessary energy transformation. The work describes the latest trends in the production, transportation, storage, and use of hydrogen. The environmental, social, and economic aspects of the use of green hydrogen were discussed in addition to the challenges and expectations for the future in the field of hydrogen technologies. The main goals of the development of the hydrogen economy in Poland and the directions of actions necessary to achieve them were also presented. It was found that the existence of the EU CO2 emissions allowance trading system has a significant impact on the costs of hydrogen production. Furthermore, the production of green hydrogen will become economically justified as the costs of energy obtained from renewable sources decrease and the costs of electrolysers decline. However, the realisation of this vision depends on the progress of scientific research and technical innovations that will reduce the costs of hydrogen production. Government support mechanisms for the development of hydrogen infrastructure and technologies will also be of key importance.

Digital transformation, audit risk, and the low-carbon transition of China's energy enterprises

While digital transformation is recognized for driving efficiency and sustainability in China's energy sector, its impact on low-carbon transitions through the lens of audit risk remains underexplored. This study examines how digital transformation, encompassing technologies like AI, IoT, Big Data, and blockchain, affects the low-carbon transition of Chinese energy enterprises, with a specific focus on the mediating role of audit risk. Using data from 2008 to 2022, we find that digital transformation significantly enhances low-carbon transitions. Furthermore, our analysis reveals that audit risk, particularly abnormal expenses, mediates this relationship, with lower audit risk amplifying the positive effects of digital transformation. This underscores the importance of robust audit and risk management practices in ensuring the effectiveness of digital transformation for achieving sustainability goals. Importantly, our findings highlight key heterogeneities in this relationship: the impact of digital transformation varies across regions in China and is influenced by the type of audit firm. This suggests that the Eastern region and firms audited by Non-Big Four firms experience the most significant benefits from digitalization in their pursuit of low-carbon transitions. These insights offer valuable guidance for energy companies and policymakers navigating the complexities of digital innovation and sustainable development in China's energy sector.

Expediting decarbonization in energy, waste, and water sector through digitalization in sustainable smart cities (SSC): Case-studies in Malaysia and China based on Industry 5.0 paradigm

This work explores the application of Industry 5.0 principles in smart cities development in Malaysia and China, focusing on digital transformation for sustainable urban development. The study presents case-studies from both the countries, highlighting the implementation strategies, challenges, and outcomes associated with integrating advanced technologies to enhance efficiency, climate resilience, and sustainability. This study aims to develop a data-driven methodology to address the absence of region-specific frameworks for sustainable smart cities (SSCs) and to evaluate their impacts. In Malaysia, the implementation of smart energy management systems that utilize IoT and AI has shown promise in reducing carbon footprints and maximizing resource efficiency. China's focus on smart water management using sensor networks and real-time data analytics provides insights into effective water conservation. Smart waste management systems have increased recycling rates by 20-30%. Progress is crucial for the region's pursuit of SSCs to reach a global investment of USD 2.5 trillion by 2025. This work concludes by discussing the implications of this work in both countries to achieve sustainable urbanization through Industry 5.0 technologies. This work offers recommendations for policymakers, urban planners, and technologists to navigate the complexities of smart city development, while providing a roadmap to leverage digital transformation to achieve decarbonization goals in energy, waste and water sector by 2060.

The formation and recycling of Neoproterozoic granitoids in the Jiangnan Orogen, South China: Implications for Mesozoic rare metal mineralization

In the era of energy transition on the Earth, rare metal mineralization has attained increased significance for various energy sectors and understanding their formation and evolution in various tectonic settings is of great importance for formulating exploration strategies. The Neoproterozoic Jiangnan Orogen in South China marks the assembly zone of the Yangtze and Cathaysia blocks and carries numerous rare metal deposits. In this contribution, we investigate the Neoproterozoic Jiuling composite batholith to understand the formation of rare metal mineralization. We present new in-situ zircon U–Pb ages and Lu–Hf isotopes, and whole-rock geochemistry and Sm–Nd isotopes of the Banbei biotite granodiorite and the associated rare metal-mineralized Baishawo granite in the western portion of the Jiuling batholith suite. Zircon U–Pb dating indicates that the Banbei biotite granodiorite, and the Baishawo two-mica granite and muscovite granite formed at ca. 820 Ma, 153 Ma, and 142 Ma, respectively. The εHf(t) values of the biotite granodiorite, two-mica granite and muscovite granite are –4.4 to +5.8, –11.8 to –7.0, and –10.5 to –7.3, respectively. The εNd(t) values of the biotite granodiorite, two-mica granite and muscovite granite are –3.88 to –2.73, –10.6 to –10.2, and –9.23 to –9.16, respectively. Zircon Hf isotopes and whole-rock Sm–Nd isotopes suggest that the granite suite was sourced from the Mesoproterozoic crust. Geochemical modeling suggests that the Banbei biotite granodiorite was derived from partial melting of Meso- to Neoproterozoic metasedimentary rocks, whereas the Baishawo two-mica granite and muscovite granite were derived from assimilation–fractional crystallization of the Neoproterozoic Banbei biotite granodiorite and Mesozoic magma with low degrees of differentiation. Combined with previous studies on the granite suites in the Jiangnan Orogen, we suggest that collision between the Yangtze and Cathaysia blocks ceased at least 820 Ma, and that Precambrian rocks might have contributed significantly to the enrichment of rare metal mineralization in Mesozoic granite through reworking.

Политика Индии в области смягчения последствий изменения климата: трудности и перспективы

India is one of the largest emitters of greenhouse gases in the world, largely due to its high dependence on coal. However, since the early 2000s, New Delhi has introduced various tools to help reduce greenhouse gas emissions. In 2022, a new climate plan was adopted that, for the first time, set a goal to achieve carbon neutrality by 2070. To achieve the goal of reducing greenhouse gases in the energy sector, India is using several market-based schemes, which will become the basis of the Indian emissions trading system in the nearest future. Environmentally friendly transport is actively developing. Insights from research in the field of industrial decarbonization, carbon capture, and storage systems and forest protection and afforestation programmes are being implemented. However, the implementation of the identified areas is fraught with difficulties, leading to the implementation of controversial measures on the part of the state which are economically justified but contrary to the climate strategy. This study examines the main directions of Indian climate policy, and prospects and difficulties in their implementation to achieve the goal of carbon neutrality

A Nonaxial-Type Swirling Cavitating Nozzle for Exploiting Natural Gas Hydrate

Summary Natural gas hydrates (NGHs) have garnered widespread attention in the new energy sector, owing to their efficient and clean combustion properties. NGHs are ice-like substances formed by methane and water under high-pressure and low-temperature conditions, abundantly deposited in seabeds and frozen soil of highlands on Earth. However, the rock shelves of NGH reservoirs are mostly fragile and sparsely colloidal. Traditional mechanical mining methods can easily cause rock-shelf collapses, leading to mining accidents. Long-term indoor experiments and pilot mining projects have shown that cavitating nozzles can provide a feasible solution to the problem of efficient mining of NGHs. To further improve the efficiency of cavitating nozzle mining for NGHs, we have optimized and designed a nonaxial-type swirling cavitating nozzle (NASCN) based on traditional swirling cavitating nozzles (SCNs). Both numerical simulations and indoor experiments have verified the higher mining performance of this nozzle. In the numerical simulation experiments, we analyzed the cavitation performance, erosion performance, and energy consumption characteristics of different cavitating nozzles using the mixture multiphase flow model and the renormalization group (RNG) k-ε turbulence model. In the indoor experiments, we utilized a jet erosion experimental device for NGHs to analyze the erosion effects of different cavitating nozzles on hydrate samples. The results of these experiments indicate that the NASCN reduces energy consumption by 12% compared with traditional nozzles when there is little difference in cavitation performance and erosion performance. Moreover, under similar energy consumption, the NASCN improves erosion efficiency by 35.2% compared with traditional nozzles. These results demonstrate that the NASCN has good application value in the mining engineering of NGHs.

RECYCLING OF LITHIUM ION BATTERIES: THE BLACK SPOT OF THE GREEN DEAL

Progress towards a decarbonized economy is dependent on the development of energy storage devices enabling the deployment of new strategies in the transport and energy sectors. Lithium-Ion Batteries (LIBs) play a key role in facilitating the shift from fossil fuels to renewables based on ubiquitous sources of decentralized energy. However, the rapidly increasing demand for batteries has generated environmental concerns regarding recycling, and raw materials depletion and exhaustion. Moreover, the level of extraction and processing of battery raw materials from local resources is almost negligible, inducing geopolitical concerns regarding potential threats to production and the stability of local manufactures. Finally, the storage and processing of hazardous wastes remains a difficult challenge in the circular economy concept. Recycling, therefore, is beneficial to the environment and has a high economic value via strengthening local supply chains. This work presents an alternative, comprehensive, and holistic review of LIB recycling technologies; from traditional metallurgy strategies to innovative, direct recycling methods and pioneering in-production and design-for-recycling approaches. It identifies new directions for making recycling efficient and techno-economically profitable and sustainable - including the vital role of robotics, artificial intelligence, and machine learning. Keywords: Lithium Ion Batteries, Recycling, Design for Recycling, In-production Recycling, Artificial Intelligence

Advancing global solar photovoltaic power forecasting with sub-seasonal climate outlooks

Given the high weather dependency of solar photovoltaic energy, accurate weather information ranging from days to weeks in advance are required for stable plant operation and management. This study emphasizes that sub-seasonal climate outlooks can advance global solar power forecasting. We evaluate the capacity factor (CF) for standard test conditions (CFstc), calculated from atmospheric reanalysis of surface solar irradiance and ambient air temperature, by comparing it with actual CF from two solar plants in Korea. Results confirm CFstc as a reliable estimate of actual CF. Application of this methodology to four-week outlooks from two state-of-the-art sub-seasonal climate forecast systems shows a significant anomaly correlation coefficient (ACC) skill for global solar power forecasting at least one week in advance (5–11 forecast days). Regional ACC skills vary at extended lead times, with South Asia, eastern South America and eastern Australia maintaining ACC > 0.6 for up to two weeks (12–18 forecast days). Notably, useful ACC skill persists for up to four weeks (26–32 forecast days) across 70.9 % of global land areas. These findings suggest that sub-seasonal climate outlooks can provide decision-making information in developing more reliable solar energy strategies, highlighting the importance of transdisciplinary collaboration between renewable energy and meteorological sectors.

Spatially Compounding Drought Events in Brazil

AbstractSpatially compounding drought events affect multiple locations simultaneously, severely affecting food, water, energy, human health, and infrastructure sectors. Despite the cascading impacts and challenges compound droughts impose on society, we still lack an in‐depth understanding of spatially connected drought occurrences. Given the complexity and costs of droughts in Brazil, identifying regions prone to co‐experiencing droughts is critical for developing effective adaptation measures. Here, we develop a novel framework to assess the spatial co‐occurrence of hydrological drought events, which can be adapted for global applications to evaluate spatially compounding drought. This framework involves extracting drought data from individual catchments and calculating the co‐occurrence of droughts across all catchments. We apply this method to investigate the spatial connectedness of droughts in 511 Brazilian catchments over 39 years (1983–2022). Additionally, we classify catchments based on drought duration, intensity, deficit, number of events, and spatial connectedness to identify regions with similar drought behavior. Our findings reveal significant variability in drought characteristics and connectedness across Brazil, with the Central‐Northeast and Northwest Amazon regions being most affected by multiple and widespread droughts. We identify five distinct regions in Brazil that exhibit common drought behaviors, sharing attributes such as aridity, catchment area, and precipitation seasonality. These regions hold the potential to guide future adaptation plans for managing hydrological compound extremes at both the catchment and regional scales, including the development of risk pool networks. Our results underscore the importance of considering the interactions of spatially compounding hydrological droughts in risk assessments and adaptation strategies.

A Proposed Standard Seismic Frequency Nomenclature for Geophysical Site Investigation Surveys in the Offshore Energy Sector

A Proposed Standard Seismic Frequency Nomenclature for Geophysical Site Investigation Surveys in the Offshore Energy Sector

Green bonds and clean energy stocks: Safe havens against global uncertainties? A wavelet quantile-based examination

The renewable energy sector has seen rapid investment growth over the last decade, with Green Bonds (GB) and Clean Energy Stocks (CLE) emerging as critical components of sustainable finance. Using daily data from 2013 to 2023, this study investigates the diverse roles of GB and CLE as potential safe havens under Geopolitical Risks (GEO) and Economic Policy Uncertainty (ECU). Applying an advanced Wavelet Quantile Regression (WQR) approach, we assess their effectiveness across different time horizons and risk conditions. The findings reveal that GB consistently offer stronger protection against economic risks, particularly in the short to mid-term, while CLE are more effective in shielding against geopolitical risks. Over longer periods, GB maintain their safe haven status, while CLE’s protective capabilities diminish. The results also highlight that GB and CLE behave differently across quantiles, with GB showing stability across extreme market conditions, making it a more reliable hedge overall. This study offers valuable policy insights for key stakeholders. Policymakers are encouraged to integrate GB and CLE into sustainable finance strategies, investors can mitigate risk by blending these assets, and portfolio managers should adjust allocations dynamically based on evolving market conditions. The results underscore the importance of green assets as hedges in times of global uncertainty, contributing to the growing literature on sustainable finance.

Assessing the Role of Sharia-Compliant Investments in Promoting Clean Energy and Sustainable Economic Development: A Study of Asia’s Financial and Renewable Energy Sectors

Assessing the Role of Sharia-Compliant Investments in Promoting Clean Energy and Sustainable Economic Development: A Study of Asia’s Financial and Renewable Energy Sectors

Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model

Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model

Financial Benchmarking on the Example of Energy Sector Companies in Poland

Financial Benchmarking on the Example of Energy Sector Companies in Poland

Experimental Investigation of Towing of a Semi-submersible Floating Offshore Wind Turbine

Abstract The offshore floating wind energy sector is poised for exponential growth in the coming decades. A pivotal challenge within this context is the imperative to substantially decrease the levelized cost of energy (LCOE) to enhance competitiveness. A significant proportion of these LCOE costs are attributable to the towing operations entailed in both the installation of assembled floating wind turbines and the maintenance of major components. Semi-submersibles, characterized by multiple columns and pontoons, represent the prevailing conceptual approach in the industry due to their versatility across varying water depths and their cost-effectiveness in terms of mooring and transportation. Towing model tests for the semi-submersible INO WINDMOOR floating wind turbine have been conducted in the Ocean Basin at SINTEF Ocean. The primary objective of these tests is to investigate critical aspects such as towing resistance and dynamic responses, including vortex-induced motion (VIM) and galloping. This paper presents the experimental set-up and initial findings from the model tests. Through comparative data analysis of selected cases, an enhanced and insightful understanding of the intricate fuid-structure interactions is expected to be achieved. Additionally, it highlights the identification of knowledge gaps and research imperatives aimed at expanding the towing operational criteria, with the ultimate goal of reduction of installation and maintenance costs.

The Economic and Financial Standing Assessment of Energy Sector Companies During the COVID-19 Pandemic

The Economic and Financial Standing Assessment of Energy Sector Companies During the COVID-19 Pandemic

Green Energy Transition: Evaluating Carbon-To-Liquid Technologies for 2050 Climate Goals and Energy Security

China's coal-to-liquid (CTL) sectors must quickly adjust to a low-carbon economy to meet the energy demand while mitigating environmental and energy security challenges. Similarly, China's climate goals for 2050 are gravely jeopardized if the industry's enormous ecological impact is not addressed. This research develops a conceptual framework for environment-security-economic evaluation of the high-carbon energy sector. Moreover, it constructs a system dynamics material model to predict the upgrade plan's industrial capacity and carbon emission scale. Finally, it calculates the dynamic optimal deployment scale at various epochs based on the sequential decomposition goal of "carbon peak" and "carbon neutrality." These measures are needed to anticipate the development of China's CTL industry. The road map predicts that by 2025, China's CTL industry will be able to meet at least 5% of the country's total oil demand. The adoption of scale A process will improve the economic and environmental performance of the CTL industry due to the cost savings and efficiency gains at a larger scale. In addition, the industry's overall energy efficiency will rise in 2023 and exceed 50% after 2035. Findings indicate that the CTL sector will approach a carbon peak in 2029 and neutrality and transition to hydrogen generation by 2050.

Predicting the intention to install solar photovoltaic panels in emerging market: The role of consumer innovativeness, knowledge, and support for government incentives

Promoting the installation of solar photovoltaic panels at the residential level in Vietnam may effectively mitigate the electricity overload on the national grid and support the country’s sustainable objectives. However, the installation rates of this system in urban areas in Vietnam remains low despite the favorable atmosphere and the provision of several incentives. Based on the Diffusion of Innovation and Theory of Planned Behavior, this study explores the role of consumer innovativeness, knowledge, and support for government incentives on the diffusion and social acceptance of solar photovoltaic panels. A questionnaire survey was conducted to collect data for analysis. With a sample of 339 citizens in Vietnam, the partial least squares structural equation modeling approach was employed to evaluate the results. The findings revealed that consumer innovativeness was linked to social norms and knowledge. Furthermore, it was discovered that the knowledge of consumers can significantly enhance the support for government incentives and the intention to install solar photovoltaic panels. Additionally, social norms significantly influenced attitudes, ultimately resulting in an increase in the intention to install. The findings of this study could aid the nation's policymakers and institutions in formulating strategies to grow the solar energy sector, therefore facilitating the achievement of sustainable energy goals.