An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance DOI Creative Commons
Ting Xu,

Mohammad Hosein Sabzalian,

Ahmad Hammoud

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 25, 2024

Abstract As is known, having a reliable analysis of energy sources an important task toward sustainable development. Solar one the most advantageous types renewable energy. Compared to fossil fuels, it cleaner, freely available, and can be directly exploited for electricity. Therefore, this study concerned with suggesting novel hybrid models improving forecast Irradiance (I S ). First, predictive model, namely Feed-Forward Artificial Neural Network (FFANN) forms non-linear contribution between I dominant meteorological temporal parameters (including humidity, temperature, pressure, cloud coverage, speed direction wind, month, day, hour). Then, framework optimized using several metaheuristic algorithms create predicting . According accuracy assessments, attained satisfying training FFANN by 80% data. Moreover, applying trained remaining 20% proved their high proficiency in forecasting unseen environmental circumstances. A comparison among optimizers revealed that Equilibrium Optimization (EO) could achieve higher than Wind-Driven (WDO), Optics Inspired (OIO), Social Spider Algorithm (SOSA). In another phase study, Principal Component Analysis (PCA) applied identify contributive factors. The PCA results used optimize problem dimension, as well suggest effective real-world measures solar production. Lastly, EO-based solution yielded form explicit formula more convenient estimation

Language: Английский

Boosting Kernel Search Optimizer with Slime Mould Foraging Behavior for Combined Economic Emission Dispatch Problems DOI
Ruyi Dong,

Lixun Sun,

Long Ma

et al.

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 20(6), P. 2863 - 2895

Published: Sept. 7, 2023

Language: Английский

Citations

36
Fuzzy robust flexible programming with Me measure for electric sustainable supply chain DOI
Binoy Krishna Giri, Sankar Kumar Roy, Muhammet Deveci

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 145, P. 110614 - 110614

Published: July 8, 2023

Language: Английский

Citations

35
4E analysis and optimization of a biomass-fired waste-to-energy plant integrated with a compressed air energy storage system for the multi-generation purpose DOI
Tao Hai,

Mohammad Zoghi,

Kourosh Javaherdeh

et al.

Fuel, Journal Year: 2023, Volume and Issue: 348, P. 128457 - 128457

Published: May 12, 2023

Language: Английский

Citations

34
Scaled Conjugate-Artificial Neural Network-Based novel framework for enhancing the power quality of Grid-Tied Microgrid systems DOI Creative Commons

Gagan Kumar Sahoo,

Subhashree Choudhury, Rajkumar Singh Rathore

et al.

Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 80, P. 520 - 541

Published: Sept. 6, 2023

The exponential increase in the dependence on electrical power by rapid industrialization and increasing population has given rise to need of supplying electric efficiently with good quality (PQ). evolution renewable energy sources their increased penetration into traditional grid systems complexity transmission distribution. significant use complex converters, Flexible AC Transmission System devices nonlinear loads modern have amplified issues associated production distribution electricity having proper PQ. functioning system network requires healthy power, maintained both at load source end. Dynamic Voltage Restorer is a prospective D-FACTS (Distribution System) device that been widely incorporated for addressing PQ caused irregularities grid's voltage, current, or frequency. This research article attempts enhance indices Photovoltaic, Fuel Cell, DVR storage (battery) based Microgrid through proposed Scaled Conjugate Artificial Neural Network (SC-ANN) Matlab/Simulink architecture. suggested technique's effectiveness verified introducing severe faults such as sag swell numerous responses comprehensively studied comparing them Fuzzy Logic Controller Proportional Integral controllers. results obtained validates efficiency controller over FLC PI methods maintaining constant during onset reducing harmonics oscillations thereby enhancing overall reliability, stability paving its way real-time implementation areas MG system.

Language: Английский

Citations

33
Techno-economic-environmental study and artificial intelligence-assisted optimization of a multigeneration power plant based on a gas turbine cycle along with a hydrogen liquefaction unit DOI
Tao Hai, Mohammed M. Alhaider,

Pooya Ghodratallah

et al.

Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 237, P. 121660 - 121660

Published: Sept. 23, 2023

Language: Английский

Citations

33
Resilience-oriented operation of microgrids in the presence of power-to-hydrogen systems DOI Creative Commons
Vahid Shahbazbegian, Miadreza Shafie‐khah, Hannu Laaksonen

et al.

Applied Energy, Journal Year: 2023, Volume and Issue: 348, P. 121429 - 121429

Published: July 13, 2023

This study presents a novel framework for improving the resilience of microgrids based on power-to-hydrogen concept and ability to operate independently (i.e., islanded mode). For this purpose, model is being developed resilient operation in which compressed hydrogen produced by systems can either be used generate electricity through fuel cells or sold other industries. The bi-objective optimization problem, minimizes cost (i) reducing active power exchange with main grid, (ii) ohmic losses, (iii) increasing amount stored tanks. A solution approach also deal complexity model, combining goal programming Generalized Benders Decomposition, due mixed-integer nonlinear nature problem. results indicate that approach, although cost, does not lead load shedding event grid failures. concludes integrating distributed significant benefits, including emission reductions up 20 % savings 30 %. Additionally, integration decomposition method improves computational performance 54 compared using commercial solvers within GAMS software.

Language: Английский

Citations

29
Cost and environmental analysis and optimization of a new and green three-level waste heat recovery-based cogeneration cycle: A comparative study DOI Creative Commons
Hima Nikafshan Rad, Amir Ghasemi, Mohammad Marefati

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e29087 - e29087

Published: April 1, 2024

Effective and maximum utilization of waste heat from industrial processes fossil plants can improve thermodynamic performance declined the environmental impacts discharge to atmosphere. Here, multi-aspect assessment optimization a novel cogeneration power cooling load cycle (CPCC) is developed. The considered process designed under three-level recovery consisting an ORC (organic Rankine cycle) unit ejection-based refrigeration process. Thermodynamic performance, cost feasibility assessments suggested have been comprehensively evaluated discussed. A two-objective developed minimize total maximize exergy efficiency. Moreover, comprehensive CPCC behavior compared with reference system (a single-level recovery/ORC compression-based process). also examined various environmentally compatible refrigerants. analysis based on two indicators (i.e., life cycle-climate equivalent-warming impacts). Due multi-level heat, emitting into environment are significantly reduced. outcomes revealed that R1234/yf as most suitable refrigerant causes optimum achievements for both systems. exergetic improved by about 10.3% system, while destruction annual CPCC, respectively, reduced approximately 7.4% 21.6% cycle. It was found 11,640 tons carbon dioxide be using ejector in

Language: Английский

Citations

14
Power system monitoring for electrical disturbances in wide network using machine learning DOI
Jihong Wei, Abdeljelil Chammam,

Jianqin Feng

et al.

Sustainable Computing Informatics and Systems, Journal Year: 2024, Volume and Issue: 42, P. 100959 - 100959

Published: Jan. 11, 2024

Language: Английский

Citations

13
Risk-driven optimal scheduling of renewable-oriented energy hub under demand response program and energy storages: A novel Entropic value-at-risk modeling DOI
Esmaeil Valipour,

Ali Babapour-Azar,

Ramin Nourollahi

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105448 - 105448

Published: April 22, 2024

Language: Английский

Citations

13
Comprehensive analysis and optimization of a low-carbon multi-generation system driven by municipal solid waste and solar thermal energy integrated with a microbial fuel cell DOI Creative Commons
Hanning Wang,

Mingxiao Song,

Mohammad Taghavi

et al.

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 455 - 467

Published: Jan. 1, 2024

Abstract In this article, a novel multi-generation plant is addressed and assessed from the energy, exergy, exergoenvironmental exergoeconomic points of view. The composed two main units: one unit for energy production another carbon capture methanol synthesis. Biomass fuel, solar seawater are nutrients in plant. Steam, Brayton, organic Rankine Kalina cycles have been employed to generate electricity. A linear Fresnel collector-driven farm considered as an auxiliary heat source. addition, integrated desalination based on multi-effect unit, microbial fuel cell reverse osmosis has installed proposed structure offered designed under new configuration layout that had not reported publications. From outcomes, can produce 69.6 MW net electricity, 0.53 kg/s methanol, 0.81 oxygen gas, 73.8 fresh water ~0.015 hydrogen gas. Under such performance, be 51.72 27.5% efficient view respectively. Further, total cost rate environmental impact ~3378 US$/h 294.1 mPts/s, comparative analysis developed exhibit superiority planned five-objective optimization also achieve optimum design data outcomes

Language: Английский

Citations

11