Energy Development Research Articles

Renewable Energy Development Through the Utilization of Palm Oil Mill Effluent (POME) in Indonesia

Abstract This study aims to analyze renewable energy development through the utilization of palm oil waste. Indonesia has significant potential for energy development, particularly from palm oil processing waste, including biomass and biogas energy sources. This study used the qualitative method to provide an overview of the development of scientific research with the theme of renewable energy through the utilization of palm oil waste. The data source was obtained by accessing journals in the Scopus database between 2015 and 2024, with a total of 342 articles. The data is then evaluated with VOS viewer. It was found that palm oil has great potential as renewable energy resources, alternative fuels, electric generator, and for sustainable energy. However, the challenge is related to the understanding of the technology and existing policies. Indicates limitations in the adoption of POME for renewable energy in Indonesia. This study was limited to the articles only from Scopus database. Future studies need to take a comparative analysis approach that uses the Web of Science (WoS) database.

Acoustic Emission simulation: assessing the influence of AE source modeling and addressing the issue of dimensionality in the propagation medium

A thorough understanding of simulating Acoustic Emission (AE) requires the source modeling and propagation medium to be considered respectively. Crack initiation and propagation simulation as an AE source can be performed by the Successive Node Release (SNR) method and the Direct Node Release (DNR) method. Both are compared to show how the source model affects the AE signals. The SNR method is commonly used to simulate the crack initiation and propagation. It is necessary to consider the influence of the crack velocity profile on the crack initiation [1]. However, for the DNR method, all nodes are instantaneously released once the critical crack length is attained. Hence, it is not necessary to consider the velocity profile. Instead, it is sufficient to define the average crack velocity. However, the kinetic energy varies when employing different methods, leading to a variance in the source energy. We thus assess the suitable conditions to apply the DNR method to represent crack initiation and investigate the influence of the node release methods on the AE signals. Secondly, a comparative assessment of the Pencil-lead Break test on PMMA plates is conducted using both two-dimensional (2D) and three-dimensional (3D) finite element simulations. This analysis is valuable for understanding the deficiencies and constraints of the 2D simulation. However, there is a significant difference in the AE signals between 2D and 3D simulations, suggesting that the 2D simulation is unable to capture the AE information during wave propagation, in spite of its lower computational cost. Therefore, to obtain extensive and precise information from the PLB test, it is crucial to have an extensive understanding of the limits of the 2D simulation. This understanding should take into account factors such as the distance between the sensor and the source, as well as the descriptors chosen to characterize the AE.

Joint Short-term Power Forecasting of Hydro-Wind-Photovoltaic Considering Spatiotemporal Delay of Weather Processes

Regional integrated energy systems (RIES) represented by hydro, wind, and solar energy are crucial avenues for future clean energy development, fully leveraging their complementarity can facilitate the orderly supply of renewable energy, significantly enhance the level of new energy consumption, and make outstanding contributions to achieving carbon neutrality goals. However, run-of-river hydropower (RHP), wind power (WP), and photovoltaic (PV) are affected by the chaotic characteristics of the weather system, with significant random fluctuations, and their output characteristics have significant heterogeneity, which brings a big challenge for the complementary coordinated scheduling. The high-accuracy power prediction of RHP, WP, and PV in the region is one of the key means for solving the above problems. To meet this challenge, by analyzing the spatio-temporal correlation properties between weather processes and station output, a novel joint prediction framework for short-term power forecasting (STPF) of regional hydro-wind-PV clusters is proposed. Firstly, to solve the problem of significant heterogeneity of water, wind, and solar, a Differentiated Spatio-Temporal Mixture Network (DSTMN) is proposed, which differentially encodes the weather and power information at multiple locations, enabling the extraction of common features while preserving their specificities, which addresses the difficulty of representing the inherent correlation patterns between wide-area meteorological information and heterogeneous energy sources. Secondly, to further explore the spatio-temporal correlation between meteorological information and power information, to improve the forecasting performance of the model, a spatio-temporal-lagged correlation (STLC) that can quantify their spatio-temporal delays is proposed. By analyzing the correlation characteristics between regional grid numerical weather prediction (NWP) information and station output at different spatial and temporal scales, the optimal spatial location and delay time of NWP inputs under the current scenario are determined for each station. Based on this, the best NWP scene probabilistic transfer model is established based on the Rank Bayesian Ensemble (RBE) method. By fitting the conditional probability distribution of the current best NWP spatiotemporal location and the 2nd day’s best NWP spatiotemporal location, providing a reliable input for the STPF model. Finally, a case study with 164 hydro-wind-solar stations in China demonstrates the effectiveness of the proposed method. Specifically, we achieved an accuracy improvement of 0.46% — 11.03% on the 2nd day of forecasting compared to benchmark methods.

Interface-Confined nanocatalysts at hollow porous nanofibers for High-Performance cascaded remediation of radioactive wastewater

The evolution of efficient remediation technologies for radioactive wastewater is crucial for the sustainable development of nuclear energy. The cascade strategy that combines adsorption and photocatalysis has emerged as one of the most ground-breaking approaches. However, the current composite materials are undesirable in practical applications due to the low interface exposures of nanocatalysts with limited light utilization, undesirable mass transfer as well as long free radical diffusion distances from photocatalytic sites to adsorption sites. Herein, we present the fabrication of hollow porous composite nanofibers (HPN) with high interface exposures of nanocatalysts and reduced mass transfer resistances via the interface-confined engineering by integrating coaxial electrospinning with non-solvent-induced phase separation. The hollow porous architecture effectively diminishes mass transfer resistance, leading to rapid adsorption and providing sufficient uranyl ions for the subsequent cascade photoreduction. Meanwhile, the high interface exposure of the nanocatalysts enables efficient uranium reduction, which serves to regenerate the adsorption sites for higher adsorption capacity as well as durable stability. Such an elegant architecture allows the HPN to achieve an over 2-fold improvement in removal rates than that of conventional composite nanofibers and removal ratios as high as 98.86 % within 270 min. The design concept and outstanding performance make it a promising and practical technology for the remediation of radioactive wastewater.

U and Co Dual Single-Atom Doped MXene for Accelerating Electrocatalytic Hydrogen Evolution Activity.

A large amount of radioactive waste is accumulated in the process of nuclear fuel preparation, causing serious pollution to the environment and abundant depleted uranium resources to be abandoned. One of the key issues affecting the development of nuclear energy is how to make full use of depleted uranium resources efficiently. Here, U element with unique coordination mode of 5f electron is spacer bonded to transition metal with 3d orbit through the adsorption and anchoring effect of MXene, thus U and Co dual doped MXene catalyst is constructed along with the comprehensive utilization of depleted uranium resources. The as-prepared U-Co/MXene catalyst demonstrates excellent overpotential of only 184mV at -10mA cm-2 and excellent stability up to 150h, significantly surpassing the bare MXene substrate. Theoretical calculations indicate that the U and Co dual doping optimizes the electronic structure of MXene catalyst by forming the U-O-Co network, thereby improving the thermodynamics of H* adsorption during the catalytic transition state. This research opens up a new path for the recovery of depleted uranium resources and the development of functional actinide catalysts.

Blade Airfoil Optimization and Its Impact on Vertical Axis Wind Turbine Performance

Abstract Amidst the emergence of crises in petroleum prices and supply, the imperative for the development of clean energy has become increasingly apparent. Vertical axis wind turbines (VAWT), as a type of wind turbine, still grapple with challenges such as low wind energy utilization and sensitivity to dynamic wind speeds. This study focuses on optimizing the airfoil of a two-dimensional vertical axis wind turbine and analyzes the performance variations in a three-dimensional model. Following the optimization, the average power coefficients of the dual-blade two-dimensional VAWT increased by 7.9% and 4%, respectively, while those of the dual-blade three-dimensional model rose by 7.9% and 1.2%. However, the performance of the three-dimensional model was compromised due to the influence of tip vortices, resulting in inferior performance compared to the two-dimensional model. Both three-dimensional optimized blade designs exhibited a substantial reduction in the flow separation region downstream and improved pressure distribution fluctuations caused by the shedding of tip vortices, leading to decreased pressure differentials. Along the spanwise section, the power coefficient gradually decreased from the central segment to the tip segment. Notably, the power coefficient of the optimized blades at the tip segment increased significantly, accompanied by an augmented pressure differential between the upper and lower surfaces. This augmentation contributed to a significant enhancement in lift, thereby facilitating the rotation of the vertical axis wind turbine.

Flash sintering glass–ceramic treatment of Sr-contaminated soil waste

Effective disposal of radioactive waste is crucial for safe development of nuclear energy. In this study, flash sintering technology is used for the first time to quickly solidify simulated Sr-contaminated soil waste. The waste can be converted into a glass–ceramic phase by heating the waste at 1100 °C for 1 min during flash sintering. The phase evolution during flash sintering as a function of density and amorphous fraction was systematically investigated. Additionally, the microstructural evolution of the matrices and the leaching behavior of simulated waste elements (e.g., Sr) were evaluated. This study explores the feasibility of using flash sintering for treating radioactive contamination waste.

Study on the potential development of nuscale small modular reactor (smr) nuclear power plant to support the energy needs in the capital city of nusantara

Abstract In facing the dependence on unsustainable energy sources such as fossil fuels, diversifying the energy supply becomes crucial. As Indonesia’s new capital city, Nusantara significantly requires new and renewable energy sources as it can enhance energy security by reducing dependence on energy imports while also providing economic stimulus and creating new job opportunities. The potential development of new and renewable energy sources.in Nusantara is a solution to Indonesia’s dependence on fossil energy, which negatively impacts the environment and public health. One of these energy sources is the NuScale SMR type of nuclear power plant. The research method employed is a literature study based on various relevant sources related to the research topic. The results of the literature study indicate that the NuScale SMR is a nuclear reactor that possesses advantages in terms of size, high safety, reliability, resource efficiency, support for renewable energy, as well as affordable modularity and scalability, making it a prime choice to fulfil the energy needs in Nusantara. By utilising new and renewable energy sources from smaller and modular nuclear technology, Indonesia can reduce its dependence on fossil energy and promote a transition towards cleaner and more sustainable energy sources.

Manufacturing lithium-ion anodes from silicon recovered from end-of-life solar panels

With the rapid growth of solar energy, the recycling or re-use of used solar panels has become a key issue. Recycling high-value photovoltaic silicon from solar cells is an important step towards achieving “carbon neutrality.” In this paper, an efficient and high-value recycling strategy is employed to convert recycled silicon from discarded solar cells into lithium-ion anode materials. In this case, the recycled PV silicon is etched with hydrofluoric acid (HF) to create a porous silicon structure. This structure is designed to withstand the expansion stress of the electrodes. After surface modification with citric acid and carbon nanotubes to enhance the electrical conductivity of the recycled silicon and buffer the electrode from stress expansion during lithium storage and release, lithium difluorooxalate borate was added to pre-treat the surface of the recycled photovoltaic silicon through heat treatment. This process creates a robust and fast lithium-ion conductive interface enriched with LiF, Li2C2O4, LiBO2, and Li2B4O7. Density Functional Theory (DFT) calculations were performed to investigate the electronic structure of the synthesized materials, revealing their remarkable electronic conductivity and atomic bonding characteristics. When used as an anode for Li-ion batteries, W-pSi@C/CNTs exhibited high initial coulombic efficiency with stable cycling, demonstrating a capacity of 2040 mAh/g at 0.2 A/g for 200 cycles. In addition, this high-value recycling will help promote the development of renewable energy in an economically and environmentally sustainable manner.

Sustainable Development and Renewable Energy Policies in the European Union: Transformations and Impacts

The development of renewable energies in the EU is essential for sustainable development and energy security, having a significant impact on labor markets. Strategies and policies target the EU's objectives and commitments, financial incentives, regulations, innovations, research, in line with labor market opportunities. Reconversion of the workforce and transition to renewable energies are needed, as well as reskilling from traditional industries to green energy sectors. and reducing dependence on fossil energy sources contributes to energy security in the EU. Our proposals emphasize the importance of renewable energies in the reduction of greenhouse gas emissions and the preservation of the environment, with a particular emphasis on the promotion of sustainable development. Ensuring energy security and sustainable development strategies necessitates multilateral cooperation in the development of renewable energies. To analyze the theme, we propose theoretical and practical approaches, correlating sustainable development theory, labor market theory and public policy theory, with practical applications in renewable energy sector strategies and policies and impact on labor markets. Keywords: renewable energies, labor markets, sustainable development, financial incentives, multilateral security

A review of the harvesting methods for offshore renewable energy – advances and challenges

The present work offers general information about present-day and developments in offshore renewable energy, specially of wind, wave and the solar energy harnessing structures. In the introduction, the authors raise awareness of the despite more untapped potentials that exist in the oceans and the offshore Wind Energy Market that is experiencing a steep rise in the recent past due to technological advancement and the great policies that support this energy source. This mainly focuses on the very huge additionality of offshore wind power and the improvements in floating solar PV systems. Section three outlines an assortment of studies that were done by different writers on the strengths and weaknesses of offshore renewable energy technologies through a meta-analysis of the literature. The method of data extraction revolved around several factors, namely technological admissibility, resource identification, location and environmental and economic factors. The sources used comprised of scholarly articles published within the peer reviewed journals in the period of 2013 to 2024, to ensure that the study offered a comprehensive analysis on the technological advancements. The results and discussion section gives an analysis of the results achieved and demonstrates the developments in Offshore Wind Energy, Wave Energy Conversion, and Floating Solar PV Systems. Thus, offshore wind energy is described as the rapidly evolving segment and particular focus is made on the floating wind farms and their advancements in the aspects of power density and structural stability. Wave energy converters are discussed regarding their applicability to complement hybrid electricity production despite limited data on the devices’ performance. Another key feature is that the FFPV systems are reported to be more efficient and cheaper than the land mounted systems. Thus, the article emphasizes the need to produce the further literature on offshore renewable energy, political support, and cooperation between different sectors. It concludes that an offshore renewable energy has the potential for the future development due to advancement in the technology as well as due to environmental factors.

Designing of Ecological Model Predictive Control Algorithm for Electric Trucks Platoons with Optimal Energy Consumption

Abstract In response to the problem of motor vehicle exhaust emissions pollution, the development of new energy in China’s truck industry will be an inevitable trend. At present, the penetration rate and market share of pure electric trucks are constantly increasing. The research on electric truck platoons has strong practical significance. This article focuses on the ecological control strategy of pure electric truck platoons. Firstly, a platoon model of four electric trucks is established in Trucksim. The leading vehicle designs an ecological optimal speed dynamic programming algorithm, and in terms of following vehicle tracking control, the battery SOC state motor speed is considered to be improved, Designed an ecological model predictive control algorithm for electric truck platoon with optimal energy consumption. Using real road slope data in the mining area, a Trucksim/Matlab/Simulink joint simulation was conducted. The simulation results showed that compared with traditional constant speed cruise control, the proposed ecological predictive cruise control algorithm for pure electric commercial vehicle platoons saved 9.2577% of the overall battery SOC.

From human explanations to explainable AI: Insights from constrained optimization

Many complex decision-making scenarios encountered in the real-world, including energy systems and infrastructure planning, can be formulated as constrained optimization problems. Solutions for these problems are often obtained using white-box solvers based on linear program representations. Even though these algorithms are well understood and the optimality of the solution is guaranteed, explanations for the solutions are still necessary to build trust and ensure the implementation of policies. Solution algorithms represent the problem in a high-dimensional abstract space, which does not translate well to intuitive explanations for lay people. Here, we report three studies in which we pose constrained optimization problems in the form of a computer game to participants. In the game, called Furniture Factory, participants manage a company that produces furniture. In two qualitative studies, we first elicit representations and heuristics with concurrent explanations and validate their use in post-hoc explanations. We analyze the complexity of the explanations given by participants to gain a deeper understanding of how complex cognitively adequate explanations should be. Based on insights from the analysis of the two qualitative studies, we formalize strategies that in combination can act as descriptors for participants’ behavior and optimal solutions. We match the strategies to decisions in a large behavioral dataset (>150 participants) gathered in a third study, and compare the complexity of strategy combinations to the complexity featured in participants’ explanations. Based on the analyses from these three studies, we discuss how these insights can inform the automatic generation of cognitively adequate explanations in future AI systems.

Siphon-based scalable and salt-resistant multistage thermal desalination system

Recent advances in thermal localization-based passive solar desalination provide a great opportunity for the economical generation of freshwater, particularly in regions with insufficient energy and water infrastructure. Yet, the capillary-assisted passive desalination systems with a high-water productivity flux (measured in Lm−2 h−1) suffer from the issue of performance degradation due to salt accumulation and the inability to be scaled up. In this work, we propose siphon-based supply of saline water over the evaporator that enables scale up of the desalination system to a size significantly higher than the capillary rise height of the hydrophilic evaporator while preventing salt accumulation on the evaporator. The composite siphon comprises insulating fabric wick and a metallic grooved surface for localizing heat to evaporate a thin layer of saline liquid over the evaporator. We perform heat and mass transfer analysis to show that the thermal-to-vapor efficiency depends on the inlet mass flow rate and air gap between the evaporator and the condenser. We propose a methodology to passively control the mass flow rate to maximize the thermal to vapor efficiency at different input heat flux and initial concentration of the brine. A grooved condenser avoids mixing of brine and the freshwater, even at air gaps as low as 2 mm. A siphon-assisted 10-stage desalination system with a footprint area 15 cm × 15 cm and an air gap of 2 mm is shown to have a high water productivity flux of ~5.73 Lm−2 h−1 from 3.5 wt% saline water at an applied heat flux 1000 W/m2, which increases to a record high distillate flux of ~6.23 Lm−2 h−1 and thermal to water collection efficiency of ~423 % for a 15-stage system. The ability of the desalination system to maintain a high-water productivity flux even when the evaporator area is increased by 4 times demonstrates its scalability to achieve higher desalinated water productivity rate.

Urbisphere-Berlin Campaign: Investigating Multiscale Urban Impacts on the Atmospheric Boundary Layer

Abstract For next-generation weather and climate numerical models to resolve cities, both higher spatial resolution and subgrid parameterizations of urban canopy–atmosphere processes are required. The key is to better understand intraurban variability and urban–rural differences in atmospheric boundary layer (ABL) dynamics. This includes upwind–downwind effects due to cities’ influences on the atmosphere beyond their boundaries. To address these aspects, a network of >25 ground-based remote sensing sites was designed for the Berlin region (Germany), considering city form, function, and typical weather conditions. This allows investigation of how different urban densities and human activities impact ABL dynamics. As part of the interdisciplinary European Research Council Grant urbisphere, the network was operated from autumn 2021 to autumn 2022. Here, we provide an overview of the scientific aims, campaign setup, and results from 2 days, highlighting multiscale urban impacts on the atmosphere in combination with high-resolution numerical modeling at 100-m grid spacing. During a spring day, the analyses show systematic upwind-city-downwind effects in ABL heights, largely driven by urban–rural differences in surface heat fluxes. During a heatwave day, ABL height is remarkably deep, yet spatial differences in ABL heights are less pronounced due to regionally dry soil conditions, resulting in similar observed surface heat fluxes. Our modeling results provide further insights into ABL characteristics not resolved by the observation network, highlighting synergies between both approaches. Our data and findings will support modeling to help deliver services to a wider community from citizens to those managing health, energy, transport, land use, and other city infrastructure and operations.

Photocatalysis for Energy, Environmental Protection, and Sustainable Development

Photocatalysis for Energy, Environmental Protection, and Sustainable Development

Rethinking the trade-off relationship between innovation quantity and quality: the evidence from public energy R&D programs in South Korea

This study examines the relationship between quantitative and qualitative aspect of innovation in South Korea’s public energy research and development programs. Through an analysis of 1170 projects, the study confirms a complementary association between the quantity and quality of patents. The findings underscore the importance of a strategic approach to managing innovation, challenging the notion of a trade-off and advocating balance. It also discusses how this relationship varies across technological fields. This emphasizes the need to consider moderating variables in future research on this domain. This study thus not only contributes theoretically by expanding the discourse on innovation dynamics but also offers practical insights for policymakers and industry practitioners.

The role of forestry sciences in combating climate change and advancing sustainable development goals

IntroductionAs ecological disasters loom, forests play a crucial role in mitigating climate change and aligning with the United Nations Sustainable Development Goals (SDGs). This study aims to systematically examine the contribution of forestry science research to the SDGs through a multidisciplinary perspective, highlighting its role in advancing global sustainability efforts.MethodsUtilizing the PRISMA protocol, we conducted a comprehensive analysis of 39,841 publications since 2015, focusing on the intersection of forestry sciences with the SDGs. Network and keyword co-occurrence analyses were performed to identify thematic clusters and interdisciplinary linkages among SDGs.ResultsOur findings indicate a significant focus on SDG 15 (Life on Land) and SDG 13 (Climate Action), emphasizing the forestry sector’s contributions to biodiversity conservation, climate change mitigation, and ecosystem services. The analyses revealed thematic clusters centered around ecological sustainability, sustainable energy, and social development, demonstrating the diverse ways in which forestry research supports the SDGs.DiscussionThis study highlights the interdisciplinary nature of forestry sciences and identifies key areas of contribution while pointing to potential research gaps. Future research should explore advanced technologies such as AI-driven analytics and remote sensing, socioeconomic impacts of forest-based livelihoods, and innovative reforestation techniques. Strengthening urban forestry, enhancing interdisciplinary cooperation, and improving governance are recommended to ensure continued contributions of forestry sciences to global sustainability and the SDGs.

Mechanically durable plant-based composite surface towards enhanced antifouling properties

The biofouling adhering to underwater facilities has a negative impact on the environment, energy, and economic development. However, conventional anti-adhesion organic silicon and organic fluorine materials often have poor adhesion properties and mechanical stability when combined with substrates. This work presents a novel strategy for preparing composite antifouling coatings that low surface energy plant-based carnauba wax (CW) covering through rough substrates and chemically bond with flexible polydimethylsiloxane (PDMS) oligomers or polymers. The CW coating adheres strongly to the substrate owing to the mobility of the liquated CW, which flows into the micro-nano structure of the substrate and solidifies on the solid surface. The polymerization reaction of (PDMS) oligomers compounded the coating, thereby creating a composite coating with superior lubricating and antifouling properties. This distinctive bonding process imbued the coating with exceptional characteristics, including remarkable mechanical stability in destructive tests as well as an impressive ability to repel fouling, such as protein attachment, bacterial adhesion, diatom deposition, and biofilm formation. This work systematically investigated the impact of the composition and structure of composite materials on their mechanical stability and resistance to fouling, and developed high-performance antifouling coatings in the real world.

EU Consumers, Renewable Energy, and Sustainable Development – An Exploratory Market-Oriented Research Approach

The European Union countries are working to reach the truly ambitious objective of achieving a climate-neutral continent by 2050. Increasing the employment of renewable energy is one of the strategic directions promoted to fulfill this purpose. Although the socioeconomic and political context has accelerated the use of renewable energy sources, shifting to green energy raises significant challenges and generates a substantial impact both at the macroeconomic and microeconomic levels, with particular attention given to the overall behavior of the EU consumers within this transitional process. The paper presents the results of an exploratory approach aiming to assess, based on the secondary data and from a market-oriented perspective, the relationships between the production, consumption, and share of renewable energy, the attitude of EU consumers toward renewable energy and the extent to which they are willing to consider it as a reliable alternative to the traditional energy, in connection to the economic, social, and environmental dimensions of the sustainable development in the EU Member States. Keywords: Renewable energy, EU consumers, Marketing, Sustainable development