Power Generation Research Articles

A new method for identifying lubricant additives: combining PCA and stack ensemble regression model with infrared spectroscopy

Purpose This study aims to develop an innovative technique for identifying and predicting lubricant components using Fourier-transform infrared spectroscopy (FTIR) spectroscopy data with Principal Component Analysis (PCA) and a Stacked Ensemble Regression Model Extreme Gradient Boosting (SER_XGBRegressor). This technique is especially applicable to sectors such as wind energy, power generation, automotive and other similar industries, where the exact composition of lubricants plays a vital role in enhancing the performance and durability of mechanical components. Design/methodology/approach This study analyzed 35 lubricant samples comprising molybdenum dialkyl dithiocarbamate (MoDTC), zinc dialkyl dithiophosphate (ZnDDP), isooctyl acid phosphorodithioate amine salt (T308) and thiophosphoric ester amine salt (T310A). FTIR spectroscopy yielded extensive spectral data, in which PCA decreased the dimensionality while preserving more than 90% of data variability. Subsequently, an XGBRegressor-stacked ensemble regression model was used to accurately predict the lubricant components. Findings The PCA-SER Model attained high accuracy in predicting lubricant components (R²: 0.983–0.996) for additives such as MoDTC, ZnDDP, T308 and T310A. PCA reduced dimensionality, preserving over 90% variance, while reducing errors to a mean absolute error of 9.9 × 10–5 and a mean squared error of 1.6 × 10–8. These scores illustrate the ability of the model to precisely predict and classify lubricant components, even in complex and high-dimensional FTIR data sets. Originality/value This study presents a novel PCA and stacked ensemble learning framework for analyzing high-dimensional FTIR data, enhancing lubricant classification and prediction, optimizing formulation processes and ensuring quality control of lubricants. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2024-0472/

Optimal power flow of wind-solar-EV-based combined heat and power for economic power generation and environment sustainability

ABSTRACT The primary focus of this paper is the analysis of the optimal power flow (OPF) of the combined heat and power economic dispatch (CHPED) problem integrated with renewable sources and performed using a new practical approach based on the chaotic oppositional sine cosine algorithm (SCA) (COSCA). The main contribution of the proposed work is to determine the OPF for the CHP-based system for economic dispatch. Secondly, renewable energy sources such as wind-solar-EVs are integrated with the system for economic power generation and environmental sustainability. As in proposed SCA approach oscillating property being used which balance the exploration and exploitation ability to improve performance. Furthermore, as in the higher version of SCA (COSCA) incorporating chaotic-oppositional-based learning, the shortcomings were overcome and provide a global optimal solution. The use of renewable energy sources is crucial to generate economical electricity and mitigating the greenhouse effect in the current environment where fuel is evolving daily. The primary goal of the proposed OPF-based CHPED is to maximize power flow in transmission lines while addressing the requirement of less emissions and more affordable power generation. Thus, for IEEE 30 and IEEE 57-bus systems, the CHPED-based OPF is integrated with renewable energy sources including solar, wind, and electric vehicles. Furthermore, a novel approach called COSCA is applied to the proposed work in order to address the nonlinearity resulting from the valve point loading of thermal units from the uncertainties related to address the power of wind, solar and electric vehicles, and to provide optimal solutions regarding cost and emission at a rapid rate of convergence. Subsequently, the proposed COSCA technique is assessed on multi-objective functions in an effort to concurrently minimize cost and emission. Statistical analysis has been used to evaluate the robustness of the proposed technique. This data is thoroughly examined using an analysis of variance (ANOVA) test which allows for a more accurate evaluation of COSCA’s robustness. The superiority of the suggested COSCA algorithm has been addressed by a comparative study between it and well-established optimization techniques.

Artificial intelligence techniques framework in the design and optimisation phase of the doubly fed induction generator's power electronic converters: A review of current status and future trends

Artificial intelligence techniques framework in the design and optimisation phase of the doubly fed induction generator's power electronic converters: A review of current status and future trends

Application of electrodeposition for Nickel Nanoparticle-Modified Electrodes in Biochemical Systems.

Microbial fuel cells (MFCs) have garnered significant attention from researchers as an innovative and environmentally friendly method for the treatment of urban and industrial wastewater. The type and material of the electrode are critical factors affecting the efficiency and energy production of this process. The electrodeposition method was employed to dope nickel (Ni) and modify the surface of graphite plates (GP) and carbon felt (CF). The maximum voltage, current density, and power generated by the MFC were evaluated under consistent temperature conditions. Field-emission scanning electron microscopy (FE-SEM) results confirmed successful Ni doping and adequate microorganism attachment to the Ni-deposited electrodes, leading to enhanced electron transfer and increased power generation. Additionally, the highest average voltage output was observed using modified bio-Ni@CF (468.0 mV) and bio-Ni@GP (422.0 mV) electrodes, compared to bare CF (382.0 mV) and GP (301.0 mV) electrodes. Monitoring the open-circuit voltage (OCV) data for four loadings of the MFC with different anodes indicated the suitable resistance and stability of the Ni film over time. Therefore, the electrodeposition method can be considered a suitable technique for modifying the anode electrodes using Ni in MFCs.

Layout optimization for offshore wind farms considering both fatigue damage and power generation

Layout optimization for offshore wind farms considering both fatigue damage and power generation

Bibliometric Analysis of Research Trends in Steam Boiler Efficiency Improvement

Steam boilers are widely used in power generation and industrial processes. Improving their efficiency is crucial for enhancing sustainability and reducing operating costs. This study conducts a comprehensive bibliometric analysis to map the evolving research landscape on steam boiler efficiency improvement from 2014 to 2023. A literature search in the Scopus database retrieved 3574 publications. This study employs bibliometric analysis using Bibliometrix R packages and VOSViewer software to examine research trends, focusing on publication growth, key journals, influential authors, and emerging themes in steam boiler efficiency improvement. The results indicate a significant increase in annual research output, reflecting sustained global efforts in the field. China leads in both the volume and impact of contributions. Key research themes include materials development, innovative designs, heat recovery, and sustainable solutions. Notable publications emphasize eco-friendly approaches such as solar and organic thermoelectrics. Prolific authors from China, the United States, and Europe have shaped the discourse through influential collaborations. Emerging trends highlight a growing focus on renewable energy integration, advanced thermal management, and computational methodologies. This study consolidates knowledge on enhancing steam boiler efficiency through both quantitative and qualitative analyses, showcasing remarkable progress driven by dedicated international efforts. These insights can inform future strategies and inspire innovation in optimizing this critical energy conversion process.

Prediction of wind power with various air speed using neuro-fuzzy logic in MATLAB

The energy crisis in Bangladesh has persisted for many years, predominantly reliant on fossil fuels for power generation, which is both economically and environmentally costly. It is imperative to transition away from fossil fuels towards more cost-effective and eco-friendly energy sources. Wind energy presents a viable solution to alleviate this crisis, especially considering Bangladesh's extensive coastline, offering great potential for harnessing significant amounts of electricity. Extensive research has been conducted on the feasibility of deploying wind turbines across various coastal zones to generate power and facilitate irrigation seasons. This research delves into the operational principles and performance parameters of wind turbines. A modified fan is utilized to assess power generation under varying air speeds, with data analysis conducted using neuro-fuzzy logic. The findings reveal a minimal percentage error of 0.09, underscoring the reliability of the proposed fuzzy model in predicting wind power output based on wind speed. This underscores the potential for leveraging wind energy as a sustainable and reliable alternative to fossil fuels in addressing Bangladesh's energy challenges.

Network effects on the decoupling of carbon emissions in the power industry and power generation: A case study of China

Network effects on the decoupling of carbon emissions in the power industry and power generation: A case study of China

Phenomenon of white superevaporation of water and its application for enhancing energy efficiency in dark/solar water purification, power generation, and generative AI

Phenomenon of white superevaporation of water and its application for enhancing energy efficiency in dark/solar water purification, power generation, and generative AI

Optimal hybrid type-3 fuzzy controller for horizontal axis wind turbines: Comparative study.

Optimal hybrid type-3 fuzzy controller for horizontal axis wind turbines: Comparative study.

Exergy Calculations and Refrigerant Selection Using Flue Gas Waste Heat in Organic Rankine Cycle

In this study, the second law efficiency of the organic Rankine cycle (ORC) designed was calculated for each of refrigerants, and the exergies of the ORC components were examined separately. Candidate refrigerants were determined for comparison. When determining candidate refrigerants, the first thing to consider was the low boiling point temperature. Five candidate refrigerants were determined for comparison purposes, namely R290, R600a, R32, R125, R143a. When determining candidate refrigerants, importance was given to the criterion that their boiling temperature should be lower than the boiling temperature of water. The refrigerant with the highest exergy efficiency was selected as the most suitable refrigerant among the candidate refrigerants. The temperature of sink has been taken as a value that lower than the boiling point temperature o the refrigerant that has the lowest boiling point temperature among the others instead of ambient temperature.The power generation, first law efficiency and second law efficiency of R32were found to be 170,3 kJ/kg, 0,3049 and 0,284, respectively.The thermal efficiency and second law efficiency values of the ORC using R32 are higher than those using other refrigerants for conditions in the considered textile plant.

THE SACRED SPARK: EXPLORING CRYSTAL INTEGRATION IN VAIMANIK-YANTRAS THROUGH TIME

Vimaan-Shastra, by Maharshi Bhardwaj refers to "Mani" as "energy-crystal" that used in various operations of Vimaan-yantras involved in power generation, shielding Vimaan from enemy-attacks or weather-disturbances, see distant objects, render Vimaan invisible, energy emission, absorption, attraction, deflection and transduction. This article unveils their properties, synthesis, applications and incorporation in Yantras. These mani were thermally insulating yet electrically conductive and could capture solar and other radiations. There are used as thermal-barrier for protection from extreme heat while allowing efficient electron flow. Most of the mani mentioned in Viman-Shastra were not naturally available, but were synthesized artificially. Keywords: Mani, Crystal, Vimaan, Yantra, Energy-emission

Analysis of a polymer-based textile-embroidered thermoelectric generator for harvesting electrical power from the human body

Analysis of a polymer-based textile-embroidered thermoelectric generator for harvesting electrical power from the human body

Comparative assessment of concentrated solar power and photovoltaic for power generation and green hydrogen potential in West Africa: A case study on Nigeria

Comparative assessment of concentrated solar power and photovoltaic for power generation and green hydrogen potential in West Africa: A case study on Nigeria

Design And Construction Of Automatic Transfer Switch (ATS) System With Backup Control System In Hybrid Power Plant (PLN - PLTS - GENSET)

PLN's electricity supply is not always continuous in the process of distributing power, because under certain conditions there will be blackouts caused by interruptions or maintenance in the distribution system. An alternative to overcome PLN disturbances is to use renewable sources such as solar power plants and generators with an ATS automatic control system controlled using PLC. This study conducted a literature study to collect relevant theories and references about this research. PLC diagram leaders are designed for the process of transferring PLN, PLTS and Generator to load electrical power. Solar power plants operate during disruptions to PLN resources during operational hours (10 a.m. – 3 p.m.) and generators operate when solar power resources cannot supply to the load and at night outside solar power plant operating hours. The ATS system is able to switch the process of switching PLN and PLTS power sources very quickly without any time lag so that the load is directly supplied by PLN and PLTS power sources. The process of switching the generator source takes approximately 2 seconds for the starting process. The process of transferring battery power resources to critical loads without any time lag during the generator starting process and when generator starting failure occurs.

High Power and High Repetition Frequency Nanosecond Marx Generator Based on Avalanche Transistor With Triggering Acceleration Circuit

High Power and High Repetition Frequency Nanosecond Marx Generator Based on Avalanche Transistor With Triggering Acceleration Circuit

Generation characteristics and power quality control of a free piston linear generator considering system uncertainty

Generation characteristics and power quality control of a free piston linear generator considering system uncertainty

Thermodynamic analysis of helium-xenon closed Brayton cycle combined with Rankine cycle power generation system for hypersonic vehicle

Thermodynamic analysis of helium-xenon closed Brayton cycle combined with Rankine cycle power generation system for hypersonic vehicle

Retraction notice to “Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique” [Energy Rep. 6 (2020) 3365–3376

Retraction notice to “Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique” [Energy Rep. 6 (2020) 3365–3376

Comparative performance analysis of a 100 KWp solar Microgrid for enhanced power generation

Comparative performance analysis of a 100 KWp solar Microgrid for enhanced power generation