Energy Infrastructure Development Research Articles

Cross-Sector collaboration in energy infrastructure development: New models for public-private partnerships in emerging markets

Cross-Sector collaboration in energy infrastructure development: New models for public-private partnerships in emerging markets

Offshore wind farms interfacing using HVAC-HVDC schemes: A review

Offshore wind farms (OWF) have emerged as a pivotal component in the transition towards renewable energy, offering substantial potential for reducing carbon emissions and enhancing energy security. Integration these offshore installations into the existing power grid present opportunities and challenges, particularly in terms of efficiency, stability, and cost-effectiveness. This review explores the interfacing of OWF with the power grid through High Voltage Alternating Current (HVAC) and High Voltage Direct Current (HVDC) schemes. This research offers a thorough examination of the latest technologies, and comparing the benefits and drawbacks of HVAC and HVDC systems for offshore wind applications. The review delves into various aspects, including technological advancements, economic considerations, and environmental impacts of HVAC and HVDC technologies. The review also addresses recent developments and contrasting viewpoints in the field, highlighting innovations and ongoing debates related to integrating OWF. By synthesizing recent studies and industry reports, this paper offers a balanced overview of the strengths and weaknesses associated with HVAC and HVDC schemes. It identifies critical areas for future research and provides recommendations for optimizing offshore wind farm integration. This review seeks to enhance understanding of current technologies and support decision-making in the development and deployment of offshore wind energy infrastructure.

Socio economics impacts of CPEC on Pakistan; the dark side of the project

The China-Pakistan Economic Corridor (CPEC) is a flagship project under China's Belt and Road Initiative (BRI) with significant investments in energy projects, infrastructure development, and special economic zones. While CPEC has been praised as a game-changer for Pakistan but major concerns have been raised about its negative socio-economic impacts. This research article spreads light on a comprehensive literature review to find out these impacts and identify research gaps that the researchers have not filled yet. This paper reveals that CPEC intensifies existing socio-economic inequalities, displaces local communities, causes environmental degradation, and raises concerns about debt sustainability of Pakistan. The lack of transparency in project execution has further boosted these issues. In this paper I have examined the experiences of aboriginal communities and gendered repercussions, investigated labor rights and waged conditions, and environmental impacts. As the project is still not fully completed, new issues may arise with the completion and passage of time. By conducting the research further deep, policymakers can gain a better understanding of the potential outcomes of CPEC and develop strategies accordingly to eliminate any negative impact that can be hazardous for Pakistan's economy, environment, and society.

Exploring the role of governance in determining public-private investment in energy: New empirical insights from ASEAN

The energy sector plays a pivotal role in driving economic growth and enhancing social welfare. However, the mobilization of sufficient investment including public and private remains crucial for advancing energy infrastructure development. Against this backdrop, this study aims to explore the role of governance in determining public-private investment in energy (PPE). The empirical analysis leverages a comprehensive dataset spanning 25 years from 1998 to 2022 and covering ASEAN nations. The study employs the CS-ARDL (cross-sectionally augmented autoregressive distributed lag) model for regression analysis to assess governance dimensions' long-term and short-term effects on PPE. Additionally, the study conducts robustness analysis by using the FMOLS (fully modified ordinary least square) model and an alternative proxy of governance i.e. EFI (economic freedom index) to validate the findings. The analysis reveals that governance exerts a significant and positive effect on PPE. Specifically, the dimensions of governance such as corruption control (COC), government effectiveness, political stability (POS), regulatory quality, etc. demonstrate robust positive associations with PPE. This positive relationship indicates that stronger governance institutions foster transparency, efficiency, and stability in the energy sector, attracting private-sector investments. The findings of this study have significant policy implications for policymakers, investors, and stakeholders seeking to promote sustainable energy transitions and socio-economic development within the ASEAN region. Specifically, it is essential to strengthen governance institutions, enhance regulatory frameworks, and foster public-private partnerships for energy investment. This study contributes to the existing literature by providing novel insights into the governance-energy investment nexus within the ASEAN region.

Securitization of Cooperation: The Three Seas Initiative in the shadow of the Russian-Ukrainian war

The Three Seas Initiative (3SI) is a relatively new format of regional cooperation in Central Europe. The main objective of 3SI activities is the development of energy, transport and digital infrastructure in the region. Following the outbreak of the full-scale Russian-Ukrainian war in February 2014, the security dimension of 3SI activities has become more important. The last 3SI Summit was held in Vilnius in April 2024. The aim of this article is primarily to analyse the military dimension of the Three Seas Initiative's activities after the outbreak of war in Ukraine in 2022. The text presents the military potential of the 3SI countries and the diversified approach of the member states to the Russian-Ukrainian war. It also analyses the Lithuanian 3SI perspective, the decisions of the Vilnius Summit and the prospects for 3SI military cooperation. Due to the relatively new nature of the research topic, the analysis focuses primarily on recently published specialist texts.

Navigating energy policy uncertainty: Effects on fossil fuel and renewable energy consumption in G7 economies

ABSTRACT In an era where energy transitions are critical for addressing climate change and ensuring economic stability, energy policy uncertainty (EGU) emerges as a crucial factor influencing energy consumption patterns. This study investigates the complex relationship between EGU and various forms of energy consumption, including fossil fuels, renewables, and total energy use across G7 countries from 1996 to 2022. Utilizing FMOLS (fully modified OLS) and DOLS (dynamic ordinary OLS) models, long-term relationships among variables were established and robustness was checked by employing ARDL (autoregressive distributed lag) model. Our findings reveal that EGU significantly hampers fossil fuel consumption, impedes renewable energy uptake, and affects total energy consumption adversely. These effects underscore the broader implications of policy uncertainty on energy strategies. Specifically, the robustness checks confirm that these relationships hold across different model specifications and periods. In addition, analysis reveals the dynamic impact of control variables including FDI inflow, institutional quality, banking development, and inflation rates on specific energy consumptions. Policy implications are profound: governments must prioritize the stabilization of energy policies to enhance investor confidence and facilitate the transition to sustainable energy sources. Additionally, targeted interventions to mitigate uncertainty can promote the development of renewable energy infrastructure and support more predictable energy markets. This study provides new insights into the impacts of policy uncertainty on energy consumption and offers a foundation for strategic policy formulation aimed at achieving a balanced and sustainable energy future.

Spatial Development Strategy of the Russian Federation: Old Problems, New Solutions

The current Spatial Development Strategy of the Russian Federation for the period up to 2025 has not solved a number of tasks in this area. The level of differentiation of the socio-economic development of the subjects of the Russian Federation, their budgetary and infrastructural security remains high. Citizens have not been provided with equal access to State-guaranteed services. The current mechanisms for the allocation of productive forces and the resettlement of the population are often non-systemic in nature. In addition, the external and internal conditions for the development of the country's economy and social sphere have changed significantly by now. The Russian Federation includes 4 new regions. The concentration of population and infrastructure facilities in the largest urban agglomerations hinders the overcoming of regional imbalances. The task of ensuring the unity of the legal, economic, financial, social, cultural and educational space remains urgent. The issue of the ongoing population decline in the territories of the North, Siberia and the Far East, as well as the Arctic zone of the Russian Federation, is acute. Insufficient development of transport and energy infrastructure limits the potential of the regions, hinders the solution of tasks to increase the connectivity of the country's territory. In this regard, the task of smoothing out interregional imbalances by maximizing the full disclosure of the regions and municipalities’ own potential, and creating a comfortable living environment for citizens throughout the country is of strategic importance. This is the aim of the draft Strategy of spatial Development of the Russian Federation for the period up to 2030 with a forecast up to 2036. The article attempts to answer the question: how much is the new version of the Strategy able to solve the accumulated problems in this area?

Optimizing Distributed Energy Resources in Microgrid SCUC through Seq2Seq Scheduling Algorithms

In order to optimize Distributed Energy Resources (DERs) inside a microgrid's Security-Constrained Unit Commitment framework, this study investigates the use of Seq2Seq (Sequence-to-Sequence) scheduling methods (SCUC). There is a growing consensus that microgrids are an important part of the future of the electric grid because of the advantages they provide in terms of reliability, renewable energy integration, and overall efficiency. In the context of complicated SCUC issues, efficient scheduling and optimization of DERs are essential for realizing their full potential. Seq2Seq models, a kind of deep learning approach, have shown impressive performance in several applications requiring sequence prediction. Uncertainty in renewable energy production, energy demand forecasts, and security limitations are all addressed in this work as Seq2Seq algorithms are applied to microgrid SCUC. Significant gains in economic efficiency, ecological viability, and compliance with security constraints have been shown. This study lays the way for the development of more effective, sustainable, and resilient energy infrastructure by contributing to the advancement of the area of microgrid optimization.

Identification of optimal waste-to-energy strategies for sustainable development in Iran: SWOT analysis, hybrid MCDM methods, and game theory

The growing global focus on environmental sustainability and the pressing need for efficient waste management and energy crisis mitigation have prompted extensive investigations into sustainable waste management strategies. Given Iran's economic development and population growth, the country faces challenges in energy supply and waste management, making waste-to-energy (WtE) applications a promising solution for sustainable waste management. This study employs a combination of SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, Multi-Criteria Decision-Making (MCDM) approaches, and game theory to explore WtE technologies and processes, evaluate their applicability within Iran's context, and identify the most effective WtE strategies for the country. Furthermore, game theory and fuzzy Shapley value analysis were utilized to determine the optimal combination of WtE development strategies. The strategy player “SO” held the highest position of power, with a fuzzy Shapley value of (0.391, 1.744, 3.264), resulting in the identification of the optimal strategy combination of SO2ST2WO1WT2, with a value of (0.429, 0.679, 0.893). The recommended combination emphasizes landfill with gas capture, development of incineration power plants, and integrated resource recovery through residue-derived fuel (RDF) implementation. Achieving these objectives necessitates energy policy reforms, pricing adjustments, improvements in the energy subsidy system, and infrastructure and market development.

Optimizing Distributed Energy Resources in Microgrid SCUC through Seq2Seq Scheduling Algorithms

In order to optimize Distributed Energy Resources (DERs) inside a microgrid's Security-Constrained Unit Commitment framework, this study investigates the use of Seq2Seq (Sequence-to-Sequence) scheduling methods (SCUC). There is a growing consensus that microgrids are an important part of the future of the electric grid because of the advantages they provide in terms of reliability, renewable energy integration, and overall efficiency. In the context of complicated SCUC issues, efficient scheduling and optimization of DERs are essential for realizing their full potential. Seq2Seq models, a kind of deep learning approach, have shown impressive performance in several applications requiring sequence prediction. Uncertainty in renewable energy production, energy demand forecasts, and security limitations are all addressed in this work as Seq2Seq algorithms are applied to microgrid SCUC. Significant gains in economic efficiency, ecological viability, and compliance with security constraints have been shown. This study lays the way for the development of more effective, sustainable, and resilient energy infrastructure by contributing to the advancement of the area of microgrid optimization.

Impacts of Large-Scale Offshore Wind Farms on Tropical Cyclones: A Case Study of Typhoon Hato

Abstract With the rising global demand for renewable energy sources, a great number of offshore wind farms are being built worldwide, as well as in the northern South China Sea. There is, however, limited research on the impact of offshore wind farms on the atmospheric and marine environment, particularly tropical cyclones, which frequently occur in summertime in the South China Sea. In this paper, we employ the Weather Research and Forecasting (WRF) Model to investigate the impacts of large-scale offshore wind farms on tropical cyclones, using the case of Typhoon Hato, which caused severe damage in 2017. Model results reveal that maximum wind speeds in coastal areas decrease by 3–5 m s−1 and can reach a maximum of 8 m s−1. Furthermore, the wind farms change low-level moisture convergence, causing a shift in the precipitation center toward the wind farm area and causing a significant overall reduction (up to 16%) in precipitation. Model sensitivity experiments on the area and layout of the wind farm have been carried out. The results show that larger wind farm areas and denser turbine layouts cause a more substantial decrease in the wind speed over the coast and accumulated precipitation reduction, further corroborating our findings. Significance Statement This study holds significant implications for developing offshore wind farms in tropical cyclone-prone regions like the South China Sea. By focusing on Typhoon Hato as a case study, the research sheds light on the previously understudied relationship between large-scale offshore wind farms and tropical cyclones. The observed decrease in coastal wind speeds and altered precipitation patterns due to wind farm presence highlights the potential for mitigating cyclone-related risks in these regions. Additionally, the study’s sensitivity experiments underscore the importance of careful planning and design in optimizing wind farm layouts for maximum impact reduction. This research contributes vital insights into sustainable energy infrastructure development while minimizing environmental and meteorological risks in cyclone-prone areas.

The Effect of Clean Energy Technology Infrastructure Development on Regional Economic Growth in Indonesia

This study investigates the effect of clean energy technology infrastructure development on regional economic growth in Indonesia. Using a quantitative research design, data were collected from 70 respondents across different regions using a Likert scale ranging from 1 to 5. The analysis was conducted using SPSS version 26 to examine the relationship between clean energy infrastructure and regional economic performance. The results show a strong positive correlation between clean energy technology infrastructure and regional economic growth, with a statistically significant relationship. Furthermore, multiple regression analysis indicates that clean energy infrastructure development significantly predicts economic growth, while geographic location and government policy also play important roles. These findings suggest that investments in clean energy infrastructure are crucial drivers of regional economic development and highlight the need for supportive policies to maximize the benefits of renewable energy projects. This study provides valuable insights for policymakers and stakeholders in advancing sustainable development through clean energy initiatives.

Analysis of the non-equilibrium and evolutionary driving forces of carbon emissions in China's construction industry

Clarifying the historical characteristics and influencing factors of carbon emissions in the construction industry is essential for formulating targeted emission reduction policies. The study utilized Dagum Gini coefficient and geographical detector to measure and analyze the regional disequilibrium characteristics and key driving factors of carbon emissions from the construction industry in China. The results indicate that regional disparities are the primary drivers of spatial imbalances in carbon emissions from China's construction industry. Indirect and interactive carbon emission driving forces were the main drivers of the spatial imbalance of carbon emissions. The output value of the regional economy and industrial structure exerted a significance influence. Notably construction output value, industrial structure and energy efficiency emerged as the main interaction factors. From these findings, four main conclusions are drawn: Controlling the carbon emission of building materials significantly alleviates the spatial imbalance of carbon emission in China's construction industry. The principle of regional coordinated carbon emission reduction in the construction industry should be followed. The regional economic level and industrial structure differences significantly affect the non-equilibrium of construction industry's carbon emissions. Accelerate the development of energy infrastructure can help to improve the construction industry's carbon emission balance. For the first time, Dagum Gini coefficient was combined with geographical detector analysis to study the disequilibrium of carbon emissions in the construction industry. This approach identified new multi-factor interaction driving forces, contributing to a deeper understanding of carbon emissions in the construction sector.

Decarbonization pathways for Korea's industrial sector towards its 2050 carbon neutrality goal

This study examines cost-effective strategies for reducing greenhouse gas (GHG) emissions in Korea's industry sector to achieve the nation's 2050 carbon neutrality goal, using the Global Change Analysis Model (GCAM) integrated assessment modeling (IAM) framework. We find that the iron & steel, cement, and chemical industry segments contribute about 70% of the sector's GHG mitigation efforts to align with 2050 carbon neutrality. Key decarbonization options include electrification of industrial processes, utilization of hydrogen and bioenergy, and adoption of carbon capture and storage (CCS) technologies, although the relative significance of these options varies across the segments. We also demonstrate the dependency of sectoral decarbonization pathways on the availability of CCS and hydrogen technologies, as well as their influence on the development of upstream energy infrastructures, such as electricity and hydrogen production. Our results indicate that limited CCS deployment would necessitate a faster phase-out of fossil fuel-based industrial technologies and quicker decarbonization of the electricity and hydrogen production sectors. Conversely, constrained hydrogen deployment would increase reliance on CCS, placing a greater emission reduction burden on other sectors like electricity generation and buildings. Within the industry sector, limited CCS utilization would force the chemical segment to achieve disproportionately larger negative emissions compared to the constrained hydrogen deployment scenario, as the latter allows for wider adoption of CCS, particularly in the iron & steel segment. Overall, the study emphasizes the need for rapid and extensive transformation of the three key industrial segments to achieve Korea's 2050 carbon neutrality target, with CCS technologies and, to a lesser extent, hydrogen technologies playing a significant role in shaping the industry's decarbonization pathways and the nation's energy systems.

Distributed energy infrastructure development: geospatial and economic feasibility in rural West Virginia

Distributed energy infrastructure development: geospatial and economic feasibility in rural West Virginia

Renewable Energy Consumption Determinants: Do They Differ between Oil-Exporting Countries and Oil-Importing Ones?

This paper delves into the critical determinants of renewable energy consumption, focusing on the contrasting roles of oil imports and exports. It aims to bridge the knowledge gap by comparing these determinants across both oil-importing and oil-exporting nations, offering a comprehensive and nuanced perspective to inform policy recommendations. Using annual data from 1990 to 2018 sourced from the World Bank database, the study employs panel multiple regression analysis and adopts a fixed effects model to explore two main questions: What drives the use of renewable energy sources? How does a country’s oil importer or exporter status affect these factors? The findings reveal a significant but inverse relationship between oil rents and renewable energy consumption (REC) for both types of countries. Additionally, there is a notable negative correlation between GDP growth and REC for both oil-exporting and oil-importing countries. Interestingly, the crude oil average closing price and inflation show an insignificant impact on REC in both contexts. The study also highlights that net energy imports significantly affect REC, with a much stronger inverse relationship in oil-importing countries compared with oil-exporting ones. For oil-importing countries, diversifying energy sources is a crucial investment. Governments should prioritize research and development in renewable energy to spur technological advancements, enhancing efficiency and affordability. Economic growth-promoting policies, such as tax incentives and subsidies for renewable energy businesses, are vital for encouraging sustainable practices. Consistent, long-term policies are essential for providing investor confidence and supporting the transition to renewable energy. For oil-exporting countries, similar strategies are recommended. Additionally, allocating a portion of oil revenues to renewable energy infrastructure and funding research and development in renewable technologies through local universities and startups are crucial steps. This dual approach will not only enhance energy diversification but also foster innovation and sustainability in the energy sector.

New lead-free chemistry for in-situ monitoring of advanced nuclear power plant

Nuclear power is essential for sustainable energy infrastructure and economic development, necessitating materials for high-radiation environments that can facilitate visualization and observation. Conventional lead glass is inadequate for future requirements due to radiation-induced darkening, poor mechanical properties, and toxicity. Therefore, there is urgent to find new window materials that offer multi-ionization shielding (particularly against deep-penetrating gamma ray, γ, and neutron, n, radiations), desirable opto-mechanical properties, service stability against darkening, and non-toxicity. In this study, we report a family of transparent rare-earth pyrochlore ceramics LaxGd2−xZr2O7, offering unique chemo-physical properties that are ideal for robust radiation shielding windows. Remarkably, we demonstrated the capability of maintaining high transparency under heavy-dose exposure to 1000 ​kGy 60Co γ radiation. We observed the service stability against radiation darkening can be greatly enhanced with La-rich compositions, while Gd-rich compositions undergo shallow darkening that can be reversibly recovered under visible light. This behavior is attributed to mitigated oxygen migration from 48f to 8a in La-rich compositions, which have high pyrochlore phase stability and well-ordered atomic structures, and reversible oxygen migration between 48f and 8a in Gd-rich compositions, which remain active at room temperature. Our proposal and demonstration unlock ample opportunities in designing functional transparent ceramics as window materials for demanding applications in high-radiation environments.

Benefits and Limitations of Encapsulating Platinum Electrocatalysts with Niobium Oxide

The development of energy infrastructure based on renewable sources is vital to reduce our reliance on fossil fuels. Technologies such as hydrogen fuel cells and water electrolyzers are able to bridge the gap between the intermittency issues associated with green energy sources such as wind and solar, and the demand for reliable electricity by being able to convert between electrical and chemical energy. Nanostructured and mesoporous platinum (Pt) prepared by electrodeposition or sputter coating have been shown to have increased performance in hydrogen fuel cells compared to the industry standard of Pt nanoparticles supported on carbon.1,2 Over the lifetime of a fuel cell Pt nanostructures and nanoparticles are, however, known to restructure and lose their surface area by mechanisms such as Ostwald ripening, dissolution, and coalescence. Previously, thin film Pt catalysts have been shown to be stabilized by a nanoscale film of niobium oxide.3 Herein, nanoscale thin films of niobium oxide are investigated as a stabilizing material through use by encapsulating nanostructured Pt catalysts.Nanostructured Pt catalysts were electrodeposited onto Pt-coated Si wafer substrates. Subsequently, niobium oxide films with thicknesses of 0.5 nm, 3 nm, and 4.5 nm were deposited onto the Pt catalyst using atomic layer deposition. X-ray fluorescence and conductive atomic force microscopy techniques were used to confirm the presence and coverage of the niobium oxide layer on the Pt catalyst. The performance of the encapsulated and un-encapsulated Pt catalysts as oxygen reduction reaction catalysts over the course of up to a thousand degradation cycles were evaluated using electrochemical techniques. The morphology of the catalyst before and after the degradation testing was also assessed using scanning electron microscopy techniques. Electrochemical impedance spectroscopy indicated that increasing the thickness of the niobium oxide layer increased the resistance of the catalyst towards the oxygen reduction reaction. The combined results of the analyses performed by electrochemical techniques and electron microscopy measurements revealed a range of film thicknesses for the niobium oxide that successfully stabilized the electrochemically active surface area and surface morphology of the Pt catalyst. Paul, M. T. Y.; Gates, B. D. Mesoporous Platinum Prepared by Electrodeposition for Ultralow Loading Proton Exchange Membrane Fuel Cells. Sci Rep 2019, 9, 4161.Debe, M. K. Tutorial on the Fundamental Characteristics and Practical Properties of Nanostructured Thin Film (NSTF) Catalysts. Electrochem. Soc. 2013, 160, F522.Eastcott, J.; Gates, B. D. Nanoscale Thin Films of Niobium Oxide on Platinum Surfaces: Creating a Platform for Optimizing Material Composition and Electrochemical Stability. Can. J. Chem. 2017, 96, 260–266.

Incorporating public perception of Renewable Energy Landscapes in local spatial planning tools: A case study in Mediterranean countries

The European energy transition requirements have been posing many questions on the deployment of renewable energy sources. The development of renewable energy infrastructures entails landscape transformations affecting the perceived landscape quality and local acceptance. Sustainable energy spatial planning considers environmental, cultural, ecological needs but often neglect community perception of landscape transformations including both the physical landscape structures and the meanings associated to them. To address this issue, the paper aims to explore public perception and incorporate it in the planning tools. The research draws on a survey of residents of Arcos de la Frontera, Spain, conducted with the visual Q methodology, and on structured interviews with local experts. A selection of 36 different photovoltaic applications in urban and rural areas was evaluated by 21 citizens. The analysis identified four distinct viewpoints on photovoltaic applications in urban and rural landscapes. Local experts provided feedback on the current local spatial planning tools and on their consideration of landscape transformations. Considering both citizens and experts, we provided landscape integration strategies linked to siting and landscape design of solar power plants to be included in urban planning tools.

Levers and obstacles for implementing public engagement practices in electricity grid development

The scale of change required through the development of new energy infrastructure throughout Europe is vast. The societal dimensions of the energy transition are increasingly recognised as centrally important and approaches to infrastructure development which seek to incorporate such considerations are warranted. EirGrid - Ireland's national electricity transmission operator - through their own historical context, have undergone a journey to develop new strategies for citizen and community engagement with relation to energy grid developments.Here, we reflect upon this journey, situating it within their previous failures and the national context. This process of reflective practice seeks to provide findings for other organisations internationally undertaking a journey towards establishing new engagement practices. The establishment of such practices is critical for enabling deeper societal engagement on the energy transition. A research gap exists in relation to the organisational development of new public engagement practices within institutions tasked with developing infrastructure associated with the energy transition. This creates a challenge whereby ever-increasing calls for public engagement are made, but no lessons exist with relation to how such new practices can be embedded within an organisational strategy. We contribute to this space through answering the research question: what are the key levers and barriers for organisation change towards new forms of public engagement in infrastructure delivery?The reflections outlined through this paper have been provided by individuals in different positions across the organisation. The paper develops key findings which add to the literature in relation to levers and obstacles for implementing public engagement and associated factors.