Geometric Evaluation of the Hydro-Pneumatic Chamber of an Oscillating Water Column Wave Energy Converter Employing an Axisymmetric Computational Model Submitted to a Realistic Sea State Data DOI Creative Commons

Édis Antunes Pinto Júnior,

Sersana Sabedra de Oliveira, Phelype Haron Oleinik

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(9), С. 1620 - 1620

Опубликована: Сен. 11, 2024

In this research, considering the air methodology, an axisymmetric model was developed, validated, and calibrated for numerical simulation of Oscillating Water Column (OWC) converter subjected to a realistic sea state, representative Cassino beach, in south Brazil. To do so, Finite Volume Method (FVM) used, through Fluent software (Version 18.1), airflow inside hydro-pneumatic chamber turbine duct OWC. Furthermore, influence geometric parameters on available power OWC evaluated Constructal Design combined with Exhaustive Search. For this, search space 100 configurations defined by means variation two degrees freedom: ratio between height diameter (H1/L1) smallest base connection, whose surface revolution has trapezoidal shape, (H2/L2). The (H3/L3) kept constant. results indicated that highest achieved lowest values H1/L1 H2/L2, optimal case being obtained = 0.1 H2/L2 0.81, achieving 839 times greater than worst case. found are impractical real devices, making it necessary limit converters 500 kW make assessment closer reality; thus, 15.5 case, these consistent other studies developed. As theoretical recommendation practical purposes, one can infer over OWC’s H2/L2.

Язык: Английский

A synergistic approach based on fuzzy hybrid best–worst method and scenario planning to optimize biogas strategies DOI

Hamed Semsarian,

Reza Babazadeh, Mohsen Rezaei

и другие.

Clean Technologies and Environmental Policy, Год журнала: 2025, Номер unknown

Опубликована: Март 21, 2025

Язык: Английский

Процитировано

1
A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model DOI Creative Commons

Jie Du,

S. C. Chen,

Linlin Pan

и другие.

Energies, Год журнала: 2025, Номер 18(5), С. 1136 - 1136

Опубликована: Фев. 25, 2025

Accurate and reliable wind speed prediction plays a significant role in ensuring the reasonable scheduling of power resources. However, sequences often exhibit complex characteristics such as instability volatility, which create substantial challenges for prediction. In order to cope with these challenges, multi-step method based on secondary decomposition (SD) techniques deep learning models is proposed this paper. First, original signal was decomposed into multiple by using two techniques, multi-scale wavelet spectrum analysis (MWPSA) variational mode (VMD). Second, model constructed combining convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) networks, attention mechanism perform predicting each sequence, parameters were optimized particle swarm optimization (PSO) algorithm. Ultimately, results from all combined generate final The predictive performance evaluated real data collected farm China. Experimental show that significantly outperforms other comparison prediction, highlights its accuracy reliability.

Язык: Английский

Процитировано

0
Design of a meta-heuristic artificial intelligence (AI) model for an optimal photovoltaic module cooling system DOI Creative Commons
Armel Zambou Kenfack, Symphorien Tchimoe Kemle, Modeste Kameni Nematchoua

и другие.

Deleted Journal, Год журнала: 2025, Номер 7(4)

Опубликована: Март 27, 2025

Язык: Английский

Процитировано

0
Mapping the Water-Environment Nexus for Ecological Sensitivity in Northern Jiangsu: Insights for Sustainable Ecosystem Management DOI Creative Commons

Liping Yin,

Jiao Wu,

Xiaoqiao Qin

и другие.

Desalination and Water Treatment, Год журнала: 2025, Номер unknown, С. 101170 - 101170

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Reactive Power Planning Based on Novel Voltage Stability Index Including Renewable Energy Resources DOI

Mohamed Elmasry,

Omar. H. Abdulla,

Abdullah M. Shaheen

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Май 2, 2025

Abstract Voltage instability problem in power system network is one of the main issues to prevent voltage collapse during both normal and contingency cases. Reactive planning performed enhance stability (N-1) operation using novel index. The proposed index has been evaluated identify weak buses allocate reactive compensator insure bus level within limits improve stability. simple algebraic equation with no use for any differential can be included as objective function optimal planning. applied modified IEEE 9-bus 14-bus systems including renewable energy such hydro, wind turbines PV- solar cells. Using DIgSILENT software investigate simulation results.

Язык: Английский

Процитировано

0
Cube-based sunlight system design – A joint optimization model for installation and allocation under stochastic environments DOI

Le Duc Dao,

Kung‐Jeng Wang

Energy Conversion and Management, Год журнала: 2025, Номер 336, С. 119882 - 119882

Опубликована: Май 10, 2025

Язык: Английский

Процитировано

0
An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting DOI Creative Commons

Yingying He,

Likai Zhang, Tengda Guan

и другие.

Energies, Год журнала: 2024, Номер 17(18), С. 4615 - 4615

Опубликована: Сен. 14, 2024

Accurate wind speed forecasting is crucial for the efficient operation of renewable energy platforms, such as turbines, it facilitates more effective management power output and maintains grid reliability stability. However, inherent variability intermittency present significant challenges achieving precise forecasts. To address these challenges, this study proposes a novel method based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) deep learning-based Long Short-Term Memory (LSTM) network forecasting. In proposed method, CEEMDAN utilized to decompose original signal into different modes capture multiscale temporal properties patterns speeds. Subsequently, LSTM employed predict each subseries derived from process. These individual predictions are then combined generate overall final forecast. The validated using real-world data Austria Almeria. Experimental results indicate that achieves minimal mean absolute percentage errors 0.3285 0.1455, outperforming other popular models across multiple performance criteria.

Язык: Английский

Процитировано

2
Novel Multi-Criteria Decision Analysis Based on Performance Indicators for Urban Energy System Planning DOI Creative Commons

Benjamin Kwaku Nimako,

Silvia Carpitella, Andrea Menapace

и другие.

Energies, Год журнала: 2024, Номер 17(20), С. 5207 - 5207

Опубликована: Окт. 19, 2024

Urban energy systems planning presents significant challenges, requiring the integration of multiple objectives such as economic feasibility, technical reliability, and environmental sustainability. Although previous studies have focused on optimizing renewable systems, many lack comprehensive decision frameworks that address complex trade-offs between these in urban settings. Addressing this study introduces a novel Multi-Criteria Decision Analysis (MCDA) framework tailored for evaluation prioritization scenarios contexts, with specific application to city Bozen-Bolzano. The proposed integrates various performance indicators provide assessment tool, enabling planners make informed decisions balance different strategic priorities. At core is Technique Order Preference by Similarity Ideal Solution (TOPSIS), which employed systematically rank based their proximity an ideal solution. This method allows clear, quantifiable comparison diverse strategies, facilitating identification best align city’s overall objectives. flexibility MCDA framework, particularly through adjustable criteria weights TOPSIS, it accommodate shifting priorities planners, whether they emphasize economic, environmental, or outcomes. study’s findings underscore importance holistic approach planning, where are inevitable but can be managed effectively structured decision-making process. Finally, addresses key gaps literature providing flexible adaptable tool replicated contexts support transition toward 100% systems.

Язык: Английский

Процитировано

2
Metais de alta entropia na produção de hidrogênio verde: uma breve revisão sobre eletrocatalisadores e sua eficiência em eletrólise da água DOI Creative Commons

José Igor Gonçalves da Silva,

Fagner Campos dos Santos,

Clarice Cardoso Soares

и другие.

OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA, Год журнала: 2024, Номер 22(8), С. e6451 - e6451

Опубликована: Авг. 27, 2024

Este artigo revisa o uso de metais alta entropia (MAE) como eletrocatalisadores na produção hidrogênio verde por eletrólise da água. A introdução destaca a importância encontrar catalisadores eficientes para reduzir sobrepotencial e melhorar viabilidade econômica eletrólise. O referencial teórico explora eficiência dos MAE em comparação com tradicionais, abordando suas propriedades estruturais catalíticas. metodologia do estudo se concentra análise avaliação disponíveis literatura comercialmente acessíveis, através caracterização estrutural microestrutural, além testes desempenho catalítico. inclui baseados nobres, platina, uma econômica. conclusão aponta que os têm potencial significativo superar limitações oferecendo alternativa mais eficiente verde.

Процитировано

0
Geometric Evaluation of the Hydro-Pneumatic Chamber of an Oscillating Water Column Wave Energy Converter Employing an Axisymmetric Computational Model Submitted to a Realistic Sea State Data DOI Creative Commons

Édis Antunes Pinto Júnior,

Sersana Sabedra de Oliveira, Phelype Haron Oleinik

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(9), С. 1620 - 1620

Опубликована: Сен. 11, 2024

In this research, considering the air methodology, an axisymmetric model was developed, validated, and calibrated for numerical simulation of Oscillating Water Column (OWC) converter subjected to a realistic sea state, representative Cassino beach, in south Brazil. To do so, Finite Volume Method (FVM) used, through Fluent software (Version 18.1), airflow inside hydro-pneumatic chamber turbine duct OWC. Furthermore, influence geometric parameters on available power OWC evaluated Constructal Design combined with Exhaustive Search. For this, search space 100 configurations defined by means variation two degrees freedom: ratio between height diameter (H1/L1) smallest base connection, whose surface revolution has trapezoidal shape, (H2/L2). The (H3/L3) kept constant. results indicated that highest achieved lowest values H1/L1 H2/L2, optimal case being obtained = 0.1 H2/L2 0.81, achieving 839 times greater than worst case. found are impractical real devices, making it necessary limit converters 500 kW make assessment closer reality; thus, 15.5 case, these consistent other studies developed. As theoretical recommendation practical purposes, one can infer over OWC’s H2/L2.

Язык: Английский

Процитировано

0