A novel dynamic/adaptive K-nearest neighbor model for the prediction of solar photovoltaic systems’ performance

Results in Engineering, Год журнала: 2024, Номер 22, С. 102141 - 102141

Опубликована: Апрель 14, 2024

The inherent variability in solar Photovoltaic (PV) systems motivates developing dynamic and adaptive data-driven models capable of accurately predicting the systems' performance. A dynamic/adaptive K-Nearest Neighbor (K-NN) model to estimate conversion efficiency a PV system is proposed this work. estimates test pattern based on three steps: (i) identifying similar historical operational conditions experienced by system, (ii) assigning weight each condition its similarity at hand, (iii) computing weighted average pattern. Thus, as nearest neighbors associated weights vary from one another. applied 7.98 kWp rooftop grid-connected Hashemite University Jordan. Its effectiveness evaluated resorting Mean Square Error (MSE), Accuracy, Coefficient Determination (R2), Adjusted R2 (R2adjusted), comparing results with traditional K-NN other techniques adequately developed same context, such Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Multiple Linear Regression (MLR). Results show that exhibited superior performance across all metrics, gain reaching up 45.2% 6.8% for MSE R2adjusted, respectively, compared base MLR. Further, simplicity computational validate practical deployment

Язык: Английский

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Advancing short-term solar irradiance forecasting accuracy through a hybrid deep learning approach with Bayesian optimization

Results in Engineering, Год журнала: 2024, Номер 23, С. 102461 - 102461

Опубликована: Июнь 26, 2024

The optimization of solar energy integration into the power grid relies heavily on accurate forecasting irradiance. In this study, a new approach for short-term irradiance is introduced. This method combines Bayesian Optimized Attention-Dilated Long Short-Term Memory and Savitzky-Golay filtering. methodology implemented to analyze data obtained from probe situated in Douala, Cameroon. Initially, unprocessed augmented by integrating distinctive irradiation variables, filter with Optimization used enhance its quality. Subsequently, multiple deep learning models, including Memory, Bidirectional Artificial Neural Networks, Additive Attention Mechanism, Mechanism Dilated Convolutional layers, are trained evaluated. Out all models considered, proposed approach, which attention mechanism dilated convolutional demonstrates exceptional performance best convergence accuracy forecasting. further utilized fine-tune polynomial window size optimize hyperparameters models. results show Symmetric Mean Absolute Percentage Error 0.6564, Normalized Root Square 0.2250, 22.9445, surpassing previous studies literature. Empirical findings highlight effectiveness enhancing research contributes field introducing novel pre-processing techniques, hybrid architecture, development benchmark dataset. These advancements benefit both researchers plant managers, improving capabilities.

Язык: Английский

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Dynamic numerical modeling and performance optimization of solar and wind assisted combined heat and power system coupled with battery storage and sophisticated control framework

Results in Engineering, Год журнала: 2024, Номер 22, С. 102198 - 102198

Опубликована: Май 4, 2024

Incorporating distributed renewable energy sources into heating, power, and cooling systems is facilitating the drive toward intelligent building solutions. However, inherent uncertainties associated with controllable resources pose challenges for thermo-economic scheduling of smart buildings. Nonetheless, flexibility in buildings can be leveraged through various market mechanisms. Hence, this research introduces a sustainable energy-building system driven by an autonomous solar/dish Stirling engine (SDSE) wind turbine combined sophisticated control strategy battery storage, which designed to provide heat power requirements. The proposed also devised optimize generation, ensuring prudent conservation minimal waste, thereby amplifying overall efficiency financial viability. meticulous design accomplished advanced MATLAB/Simulink® modeling. A thorough technical sensitivity analysis meticulously hones parameters, revealing optimal operational thresholds. Simulation outcomes unveil consistent (SE) efficiency, achieving pinnacle 35%, while SDSE attains over 28%, respectively. horizontal axis turbine, encompassing 100 kW 500 modules, demonstrates coefficients spanning from 0.18 0.09, corresponding land area requirements ranging 4.22 m2 21.10 m2, emphasizing pivotal roles module optimization. This paper casts spotlight on environmental repercussions system, illustrating its potential avert up 30,000 kg CO2 emissions per kWh/year. Moreover, levelized cost electricity ranges 0.13 0.16 $/kWh, accompanied hourly that fluctuates between 3 $/h 40 $/h, Conclusively, developed modeling regarded as significant stride realm hybrid systems, replacing conventional photovoltaic/wind models cutting-edge solar/wind configurations managed storage system.

Язык: Английский

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Integration of Smart Water Management and Photovoltaic Pumping System To Supply Domestic Water for Rural Communities

Results in Engineering, Год журнала: 2025, Номер 25, С. 103966 - 103966

Опубликована: Янв. 5, 2025

Язык: Английский

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A strategic multi-criteria decision-making framework for renewable energy source selection in Saudi Arabia using AHP-TOPSIS

Renewable Energy, Год журнала: 2024, Номер unknown, С. 121523 - 121523

Опубликована: Окт. 1, 2024

Язык: Английский

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Solar and wind energy potential under land-resource constrained conditions in the Group of Twenty (G20)

Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 202, С. 114622 - 114622

Опубликована: Июнь 24, 2024

The Group of Twenty (G20) represents the world's largest economies, accounted for 86 % global final electricity demand and 87 energy-related CO 2 emissions in 2020. success Paris Agreement will be heavily dependent on successful energy transitions G20 countries. This is first comparative study to assess potential solar onshore wind generation across using a comprehensive consistent approach. A GIS-based spatial analysis was conducted identify geographical areas with generation, assessed renewable individual member states against modelled demands 2050. results confirmed that G20's high enough supply projected total 33.6 million km land within identified as areas, which could provide 923,322 TWh/year electricity. also indicated 31.1 suitable energy, generate 466,925 These are sufficient over 42 times (solar) or 21 (onshore wind) 2020, 14 seven highlight significantly variance opportunities barriers by country. Despite political challenges, further commitments leaders expected lead faster greater international cooperation. • transition critical, generating CO2 emissions. area G20. more than 2050 demand. highlighted significant between

Язык: Английский

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Comparative analysis of Weibull parameters estimation for wind power potential assessments

Results in Engineering, Год журнала: 2024, Номер 23, С. 102300 - 102300

Опубликована: Май 31, 2024

There are many renewable energy sources available, especially wind energy, but it is not being fully utilized. In the industry, Wind Power Potential (WPP) essential since critical to development, operation, and optimization of power plants. WPP plays a significant role in project life cycle, impacting site selection, viability, technology choices, ultimate success. This means that specific for certain places need be determined development industry. The goal this study conduct statistical comparison analysis efficacy various numerical methods, including method moments (MoM), pattern factor (EPFM), maximum likelihood (MLM), density (EDM), Sathyajith (EPFMS), Rayleigh's distribution (Rayl), novel (NEPFM). These methods compared different sites Andhra Pradesh India. NEPFM considered most effective approach assessing regions Visakhapatnam, Amaravati, Tirupati. Conversely, MLM (Modified Logarithmic Model) technique has demonstrated superior performance evaluating potential specifically Rajamahendravaram site. Rayleigh distribution, also known as Rayl., was utilized primary calculating probability geographical Rajamahendravaram, Amaravati. Additionally, employed analyze found suitable model estimating cumulative locations Visakhapatnam Similarly, innovative recommended analyzing

Язык: Английский

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Energetic, Economic Environmental Analysis for Photovoltaic Grid-Connected Systems under Different Climate Conditions in Iraq

Cleaner Energy Systems, Год журнала: 2025, Номер unknown, С. 100180 - 100180

Опубликована: Фев. 1, 2025

Язык: Английский

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Comprehensive Review on Challenges of Integration of Renewable Energy Systems into Microgrid

Solar Energy and Sustainable Development, Год журнала: 2025, Номер 14(1), С. 199 - 236

Опубликована: Март 4, 2025

The integration of renewable energy systems (RES) into microgrids faces challenges from technical, economic, and socio-environmental perspectives. Despite their potential to address access climate change challenges, RES-based face significant barriers, including technical complexities, economic constraints, socio-cultural resistance, regulatory inadequacies, environmental concerns. Some the issues, like intermittency lack compatibility with other sources, are managed by management (EMS) integrated battery systems. These barriers include high capital investment unpredictable revenue which addressable through chosen microgrid architecture, flexible payment structures, tariffs. Community opposition local knowledge overcome employing mitigation measures that pertain partaking in planning processes developing training programs. gaps addressed use standardized policy as well streamlined permitting procedures, while issues application life cycle assessment (LCA)-based solutions environmentally sustainable materials. Furthermore, paper addresses more recent developments, artificial intelligence (AI), peer-to-peer (P2P) trading, an emphasis on improvement prospects. Finally, implications presented, stressing need for systemic observed tendencies. This systematically reviews multifaceted integrating RES microgrids. It presents innovative solutions, AI-driven management, modular designs, frameworks enhance efficiency, reliability, sustainability a scalable transition. review provides diverse view future growth several insights stakeholders related development technology making transition sustainable.

Язык: Английский

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Geographical Information System-based methodologies for energy planning: Optimizing site selection for renewable energy plants

Elsevier eBooks, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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