Analysis of hybrid offshore renewable energy sources for power generation: A literature review of hybrid solar, wind, and waves energy systems

Developments in the Built Environment, Journal Year: 2024, Volume and Issue: 19, P. 100497 - 100497

Published: July 4, 2024

The overuse of conventional fuels (coal, petroleum products, and gas) for energy generation causes natural resource depletion global warming. Therefore, the utilization Renewable Energy Sources (RES) in power systems is seeing rapid growth on a level, particularly offshore locations. This work aims to review progress developing hybrid RES environments optimization methods used using solar, wind, wave systems. papers published peer-reviewed journals were collected from 2000 2023. A total 143 articles obtained analyzed. results demonstrated rising trend annual publications about use electricity since 2007. solar-wind wind-wave have received lot attention due technical advancements already developed wind system. Machine learning techniques, such as genetic algorithms (GA) particle swarm (PSO), been extensively utilized field renewable tasks optimizing unit sizes, determining appropriate placements, minimizing costs, maximizing output. are preferred their less complex structure. However, practical application, true cost estimation installation maintenance studies at locations poorly developed. Also, solar-wave solar-wind-wave need further investigations optimal mixing feasibility stage. current first its kind, focusing only.

Language: Английский

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The impact of Al2O3 nano additives on Jatropha curcas biodiesel-diesel blend on combustion and emission behavior

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100870 - 100870

Published: Jan. 1, 2025

Language: Английский

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Renewable Energy Share in European Industry: Analysis and Extrapolation of Trends in EU Countries

Energies, Journal Year: 2024, Volume and Issue: 17(11), P. 2476 - 2476

Published: May 22, 2024

The strategic objective of world climate policy is the decarbonization industries, aiming to achieve “net-zero” emissions by 2050, as outlined in European Green Deal and Paris Agreement. This transition entails increasing utilization renewable energy sources (RES) industrial consumption, thereby transforming economies from reliance on fossil fuels sustainable alternatives. However, this shift poses a significant challenge for many EU countries, with varying degrees success adaptation. paper investigates process decarbonizing industries analyzing trends adoption RES countries evaluating their progress toward targets. Utilizing time series analysis production, total usage, proportion renewables study compares two groups countries: longstanding members newer additions. aim forecast trajectory integration industry assess feasibility meeting targets Deal. findings reveal considerable gap between set projected outcomes, only few expected meet EU’s 2030 goals. highlighted disparities shares across member states, ranging 0.0% 53.8% 2022. Despite notable increases absolute use energy, particularly central eastern nations, substantial challenges persist aligning sectors objectives.

Language: Английский

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Comparative Analysis of Machine Learning Techniques for Non-Intrusive Load Monitoring

Electronics, Journal Year: 2024, Volume and Issue: 13(8), P. 1420 - 1420

Published: April 9, 2024

Non-intrusive load monitoring (NILM) has emerged as a pivotal technology in energy management applications by enabling precise of individual appliance consumption without the requirements intrusive sensors or smart meters. In this technique, disaggregation for device is accrued recognition their current signals employing machine learning (ML) methods. This research paper conducts comprehensive comparative analysis various ML techniques applied to NILM, aiming identify most effective methodologies accurate disaggregation. The study employs diverse dataset comprising high-resolution electricity data collected from an Estonian household. algorithms, including deep neural networks based on long short-term memory (LSTM), extreme gradient boost (XgBoost), logistic regression (LR), and dynamic time warping with K-nearest neighbor (DTW-KNN) are implemented evaluated performance Key evaluation metrics such accuracy, precision, recall, F1 score utilized assess effectiveness each technique capturing nuanced patterns appliances. Results indicate that XgBoost-based model demonstrates superior accurately identifying disaggregating loads aggregated data. Insights derived contribute optimization NILM real-world applications, facilitating enhanced efficiency informed decision-making grid environments.

Language: Английский

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Screening van der Waals transition metal carbo-selenide MXenes as efficient electrocatalysts for hydrogen evolution reaction

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 101, P. 664 - 672

Published: Jan. 5, 2025

Language: Английский

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Data-driven modeling of proton-exchange membrane fuel cell stacks

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

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Fully Integrated Hybrid Solid Oxide Fuel Cell–Rankine Cycle System with Carbon Capture, Utilisation, and Storage for Sustainable Combined Heat and Power Production

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4389 - 4389

Published: May 22, 2024

The imperative to combat climate change necessitates the rapid implementation of technologically advanced, zero-emission renewable energy solutions, particularly considering mounting demands and pressing need mitigate global warming. proposed SOFC system, integrated with a modified Rankine Cycle CCUS technology, offers highly efficient, system net-zero carbon footprint, utilising green biogas as an alternative. fully at continuous operation does not require outside heat sources and, besides, its main electricity production can supply 231 households hot sanitary water. A base case sensitivity analysis was conducted studying different operating parameters. simulation, SOFC/reformer temperatures 850 °C/650 °C parameters S/C = 2.5, Uf 0.70 Ua 0.1806, yielded overall efficiency 71.64%, 67.70% electrical efficiency. Further simulations demonstrated that 1.60% 1.53% increase in efficiencies alternative, respectively, would be achieved 950 °C. simulated hybrid represents competitive installation market, which viable sustainable alternative traditional forms generation.

Language: Английский

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

Applied Geography, Journal Year: 2024, Volume and Issue: 170, P. 103358 - 103358

Published: Aug. 1, 2024

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

Language: Английский

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Does Income Inequality Influence Energy Consumption in the European Union?

Energies, Journal Year: 2025, Volume and Issue: 18(4), P. 787 - 787

Published: Feb. 8, 2025

This study examines the emerging challenge of how income inequality affects household energy consumption within European Union amidst ongoing crisis. Using Gini index and gender pay gap as indicators inequality, analysis covers period 2000–2023 across EU member states. Dynamic panel data models reveal that negatively impacted final per capita well specifically from gas oil diesel, while is associated with less in realms natural ambient heating. Causality further explored through recent methodology developed for Bayesian networks, results confirm causality between inequality. To address complex relationship consumption, policymakers should implement integrated strategies promoting efficiency, clean transitions, equality, social safety nets, particularly light crisis exacerbated by Russia–Ukraine conflict.

Language: Английский

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Evaluating the Impact of EU Expenditures Under Agricultural Priorities on Energy Sustainability in CEE Countries

Agriculture, Journal Year: 2025, Volume and Issue: 15(4), P. 417 - 417

Published: Feb. 16, 2025

This study examines the impact of EU agricultural expenditures on renewable energy production and efficiency in sector across nine Central Eastern European (CEE) countries over period 2015–2022. The analysis is based a panel dataset compiled from Commission databases, incorporating annual under five Common Agricultural Policy (CAP) priorities, as well indicators direct consumption agriculture forestry. Using regression models, assesses how different CAP funding priorities influence sustainability outcomes. findings indicate that certain significantly contribute to adoption, while others have limited effect, emphasizing need for more targeted policy approach. results also highlight regional disparities effectiveness funding, suggesting farm structure, institutional capacity, climate conditions mediate sustainability. These insights ongoing discourse optimizing mechanisms support sustainable transition CEE region.

Language: Английский

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