Energy Output Research Articles

Energy Use Efficiency of late Sown Short Duration Rice Varieties Under Different Nitrogen Management Practices

One of the major causes of low nitrogen use efficiency in rice is the application of fertilizer nitrogen (N) more than crop requirement at times when it is not required by plant during late sown conditions. This experiment was conducted at Rajendranagar farm of ICAR-Indian Institute of Rice Research, Hyderabad during kharif2021. The experiment was laid out in split plot design with three replications. Main plots consisted of three short duration rice varieties DRR Dhan-44, MTU 1010, MTU 1156 and four nitrogen management practices (sub-plots) recommended dose of nitrogen (RDN) @ 120 kg N ha-1, Silicon coated urea (SCU) @ 90 kg ha-1, Leaf Colour Chart based N application (LCC)@105 kg N ha-1, Soil test crop response based N application (STCR) @ 114.5 kg N ha-1. Among the varieties highest energy input (13.22 GJ ha-1) was recorded in DRR Dhan-44 but energy output (172.6 GJ ha-1) and energy use efficiency (10.26 GJ ha-1) were recorded in MTU 1156. Among the N management practices highest energy input (13.94 GJ ha-1) was recorded in RDN@ 120 kg N ha-1 and energy use efficiency (10.38 GJ ha-1) was recorded with Leaf colour chart based N application@105 kg Nha-1

A multi-stage framework for coordinated scheduling of networked microgrids in active distribution systems with hydrogen refueling and charging stations

Due to the increase in electric energy consumption and the significant growth in the number of electric vehicles (EV) at the level of the distribution network, new networks have started using new fuels such as hydrogen to improve environmental indicators and at the same time better efficiency from the excess capacity of renewable resources. In this article, the services that can be provided by hydrogen refueling stations and charging electric vehicles in the optimal performance of microgrids have been investigated. The model proposed in this paper includes a two-stage stochastic framework for scheduling resources in microgrids, especially hydrogen refueling stations and electric vehicle charging. In this model, two main goals of cost minimization and greenhouse gas emissions are considered. In the proposed framework and in the first stage, the service range of microgrids is determined precisely according to the electrical limitations of distribution systems in emergency situations. Then, in the second stage, the problem of energy management in each microgrid will be solved centrally. In this situation, various indicators including the output energy of renewable sources, smart charging of hydrogen and electric vehicle charging stations (EV/FCV) and flexible loads (FL) are evaluated. The final mathematical model is implemented as a multivariate integer multiple linear problem (MILP) using the GUROBI solver in GAMS software. The simulation results on the modified IEEE 118-Bus network show the positive effect of the presence of flexible loads and smart charging strategies by charging stations. Also, the numerical derivation shows that the operating costs of the entire system can be reduced by 4.77% and the use of smart charging strategies can reduce greenhouse gas emissions by 49.13%.

Practical design of an optical filter for thermal management of photovoltaic modules

AbstractThis work presents a practical approach to designing an optical filter for thermal management for photovoltaic modules. The approach emphasizes the practicality of manufacturing over optical performance. Simulation work demonstrates that, for an interdigitated back contact solar cell architecture, complete rejection of infrared radiation offers limited thermal benefits requiring highly complex optical filter designs. An alternative approach consists of reducing thermalization losses by providing reflectance at lower wavelength values. An optical filter design that fulfills this requirement is possible using simple structures based on two materials and taking advantage of the harmonics present in quarter wavelength optical thickness designs. The filter is later optimized for angular performance via second‐order algorithms, resulting in a device consisting of only 15 thin‐film layers. Performance simulations on two locations, Delft (the Netherlands) and Singapore, estimate a temperature reduction of 2.20°C and 2.45°C, respectively. In a single year, the optical loss produced by the filter is not compensated via temperature reduction. However, improvements in the annual degradation rate show that in Singapore, the overall effect of the filter on the lifetime DC energy yield is positive.

Dual-Axis Solar Tracker

Solar energy is becoming a popular technique to develop sustainable energy sources. Engineering professionals must understand the technologies involved. Solar panel tracking system design and construction are covered in this project. Solar tracking orients the solar array toward the sun, increasing energy output. This system expands on course topics. Solar energy feasibility requires solar array system efficiency optimization. Solar array systems can be improved by sun tracking. This method keeps a solar array facing the sun at all times. Solar modules cleanly turn sunshine into energy in remote areas, solving the power generating problem. The solar tracker designed for this project is reliable and affordable for aligning a solar module with the sun to maximize energy output. Hardware/software hybrid prototype Automatic Sun Tracking System improves solar panel alignment with the sun to maximize energy production and inspire design. Problems and solutions will be discussed.

A binary ionogel electrolyte for the realization of an all solid-state electrical double-layer capacitor performing at low temperature.

Solid-state electrolytes made of an ionic liquid (IL) confined in a solid matrix, also known as ionogels, have been proposed to prevent electrolyte leakage from electrical double-layer capacitors (EDLCs), and thereof improve their safety. However, making ionogel-based EDLCs performing with a reasonable power at low temperature is still a major challenge due to the high melting point of the confined IL. To overcome such limitations, this contribution discloses ionogel films prepared by encapsulating a binary mixture of 1‑ethyl‑3-methylimidazolium bis(fluorosulfonyl)imide and 1‑ethyl‑3-methylimidazolium tetrafluoroborate - [EMIm][BF4]0.5[FSI]0.5 - into a PVdF-HFP network. Contrary to ionogels prepared from either [EMIm][FSI] or [EMIm][BF4], which display freezing/melting, the crystallization of confined [EMIm][BF4]0.5[FSI]0.5 is quenched in the binary ionogel, which shows only a glass transition at -101 °C. This quenching enables an increased ionicity and ionic diffusion at the interface with the PVdF host network, leading the binary ionogel membrane to display higher ionic conductivity below -20 °C than the parent binary [EMIm][BF4]0.5[FSI]0.5 liquid. Laminate EDLCs built with a binary ionogel separator and hierarchical carbon electrodes operated ideally from -40 °C to room temperature, displaying ca. 4 times larger output energy than a cell implementing the same carbon electrodes together with the binary [EMIm][BF4]0.5[FSI]0.5 ionic liquid.

Hydrothermal carbonization of sugar beet pulp: optimization and characterization

AbstractIn this study, the optimum hydrothermal conditions of sugar beet pulp were investigated by Response Surface Methodology (RSM) based on Central Composite Design (CCD). The hydrochar obtained from sugar beet pulp (SBP) was optimized for maximum yield and carbon content. Process conditions were chosen with reaction temperatures of 200–240 °C, residence time 60–150 min, and biomass to water ratio of 1:3–1:10. The yield and carbon content of the hydrochar varied with the process parameters. In order to obtain hydrochar with the highest yield and carbon content in optimization, the reaction temperature should be 220.74 °C, the biomass to water ratio should be 1:3, and the residence time should be 95.58 min. High heating value, energy and mass yield, and energy densification ratio of sugar beet pulp and hydrochar were also investigated. The products were characterized using FT-IR, SEM, and ultimate analysis techniques. The Coats-Redfern method was used to estimate the kinetic parameters of the combustion processes. The activation energy values of SBP and SBP-HC products were calculated as 13.88 and 11.46 kJ/mol, respectively. The kinetic data were used to determine the thermodynamic parameters (ΔH, ΔG, and ΔS). As a result, the properties of hydrochar produced from sugar beet pulp under optimum conditions have been extensively investigated and the results have shown that hydrochar has potential for use in different areas.

Maximizing resource recovery: Anaerobic digestion of residual biomass from essential oil extraction in four aromatic and medicinal plants

The valorization of organic waste through biomethanization presents a sustainable solution for energy production and waste management. In this study, the objective was to investigate the feasibility of anaerobic digestion for recovering extraction residues from essential oil extraction processes of Lavender, Peppermint, Eucalyptus, and Rosemary. Furthermore, the study aimed to evaluate the characteristics of the residual biomass by determining total organic matter and soluble organic matter using standardized protocols. The digestate obtained after anaerobic digestion was characterized for its physicochemical properties and its potential as an organic amendment. Statistical analysis was conducted to evaluate the results. The results demonstrate variations in these characteristics among different plant residues, with eucalyptus exhibiting lower VMO and higher BOD5 compared to other plants. The results of this study suggest promising potential for energy recovery from extraction residues, with an energy yield of up to 300 kWh/ton of waste. However, fermenting mixtures before anaerobic digestion is not recommended. In addition, the physicochemical characterization of the mixture resulting from the two mixtures MRH and MRF (DB digestate) highlights the potential of the digestate as an organic amendment. It also demonstrates the effectiveness of anaerobic digestion in reducing organic matter and enhancing the quality of the digestate. This contributes to sustainable waste management practices and boosts agricultural productivity. Morphological and elemental analyses provide insight into structural and compositional changes during biomethanization. Overall, this research highlights anaerobic digestion as a cost-effective approach to residual waste disposal in essential oil extraction industries. It supports circular economy principles by potentially generating revenue from energy production and organic amendments. This method offers a promising solution for waste recovery strategies in the transformation sector of aromatic and herbaceous plants for energy production.

Harnessing the power of waste in a poly-output system transforming biomass feedstocks into sustainable Bio-H2, O2, electricity, and heating

The use of biomass as a renewable source for biohydrogen production offers both environmental and economic advantages. A novel multi-generation system has been developed and modeled to generate biohydrogen, along with other energy outputs such as hydrogen storage, power, hot water, and hot air. This integrated system incorporates a gas turbine cycle, a proton exchange membrane, and a supercritical carbon dioxide Brayton cycle. After validating the model, the performance of the systems fueled by olive refuse and wheat straw biomasses has been evaluated. The system using wheat straw biomass produces more biohydrogen (39 g/min compared to 33 g/min), oxygen (307 g/min compared to 260 g/min), and power (316 kW compared to 268 kW). Conversely, the system using olive refuse biomass emits lower carbon dioxide (8.38 g/kWmin compared to 8.94 g/kWmin) and provides higher efficiency (76.8% compared to 65.9%). These findings demonstrate the versatility of the novel multi-generation system in harnessing different biomass types for biohydrogen production and other energy applications, while balancing environmental and economic considerations.

Stark Broadening, Boltzmann Plot Methods for Calculating Plasma Parameters by Laser-Induced Breakdown Spectroscopy for Gold Target

In this investigation, a spectroscopic optical emission test was used to investigate the characteristics of gold plasmas that were produced in the surrounding environment using an Nd: YAG system at a wavelength of 1064[Formula: see text]nm and had an energy output that varied from 400 to 600[Formula: see text]mJ. The emission spectrum profiles of (Au) were analyzed and recorded using a spectrometer to aid in the extraction of vital plasma features (i.e., [Formula: see text] and [Formula: see text]). Plasma temperature was determined using the Boltzmann plot method, and electron density was determined using the Stark broadening method. The temperature was between (0.91 and 0.94)[Formula: see text]eV, while the electron density ranged between (4.79 and 5.26) [Formula: see text][Formula: see text]cm[Formula: see text]. The rest of the plasma parameters were calculated by the mathematical equations of the method used (Boltzmann Plott).

Soil Enzyme Response and Calorific Value of Zea mays Used for the Phytoremediation of Soils Contaminated with Diesel Oil

Ensuring a stable and cost-effective energy supply is a major challenge for the International Energy Agency (IEA). Additionally, the effectiveness of vermiculite and dolomite in mitigating the adverse effects of diesel oil, a petroleum-derived product, on plant growth and development, and on the biochemical activity of the soil, were assessed. Therefore, an attempt was made in the study to determine the energy properties of Zea mays, which is suitable for cultivation in contaminated areas. For these purposes, several parameters were analyzed in its biomass, including calorific value (Q), heating value (Hv), energy yield (Yep), ash content, and the presence of carbon (C), hydrogen (H), sulfur (S), nitrogen (N), and oxygen (O). Biochemical activity was measured through the evaluation of soil enzymes serving as indicators for the carbon (dehydrogenases, catalase, β-glucosidase), nitrogen (urease), sulfur (arylsulfatase), and phosphorus (acid and alkaline phosphatase) cycles. The plant greenness index was also determined. It has been demonstrated that diesel oil does not alter the calorific value of Zea mays biomass but significantly reduces the biomass quantity and destabilizes the biochemical properties of the soil. Zea mays contained an average of 6.84% ash, 49.88% C, 5.65% H, 0.17% S, 2.90% N, and 34.57% O. The calorific value of Zea mays ranged from 15.02 to 15.54 MJ kg−1 d.m. of plants, and the heating value ranged from 18.25 to 19.21 MJ kg−1 d.m. of plants. The biomass obtained from contaminated soil is recommended for energy purposes. The sorbents used—vermiculite and dolomite—proved to be less effective in the remediation of soil contaminated with diesel oil.

Evaluating Outdoor Performance of PV Modules Using an Innovative Explicit One-Diode Model

Due to its simplicity, the one-diode model is commonly used for modeling the operation of photovoltaic (PV) modules at standard test conditions (STC). However, its inherent implicit nature often presents challenges in modeling PV energy production. In this paper, the innovative explicit one-diode model developed by us over time is adapted for estimating PV power production under real weather conditions. Simple yet accurate equations for calculating the energy output of a PV generator equipped with a maximum power point tracking (MPPT) system are proposed. The model’s performance is assessed under various normal and harsh operating conditions against measured data collected from the experimental setup located at the Solar Platform at West University of Timisoara, Romania. As an application of the new equation for maximum power, this paper presents a case study where the energy loss in the absence of an MPPT system is evaluated based on atmospheric and sky conditions.

Ultra-stretchable and high performance fibrous TENG with helically structured dual-channel Liquid Metal electrode

Fibrous triboelectric nanogenerators (FTENGs) are highly desirable nano-energy harvesting devices due to largely available contact area and convenience in integration, which enables more efficient conversion of randomly disordered low-mass mechanical energy into electrical energy. Unfortunately, the high triboelectric output of existing FTENGs under mechanical deformations is considerably limited due to their inherently low stretchability of conductive or friction materials. Therefore, simplified equivalent models are established by mimicking the core–shell structure of natural silk, which discuss the influence of different structural variables of fibers on the electrical energy output, thus guiding the design of construction as well as enhancing the triboelectric behaviors. Herein, we successfully constructed a dual-structure variable FTENG (DF) (dual-channel electrode, twisting) that combines excellent stretch and electric performance by utilizing an efficient and scalable thermal stretching, twisting, and injection process. The twisting process assigns the FTENG a larger effective contact area to enhance the surface charge density of the friction material, while the dual-channel electrode enable faster charge transfer, resulting in a significant improvement in the triboelectric output performance. The open-circuit voltage (Voc) of the DF is up to 265.8 V/m, far surpassing the non-structure variable, single electrode-structure variable and single twisting-structure variable counterpart FTENGs, providing remarkable durability. Also, a single DF has a strain at break of up to 862.3 %, exhibiting excellent mechanical stretchability. Moreover, multiple DFs can achieve more significant electrical output characteristics. The dual-structure variable design and the facile manufacturing method will bring inspiration for the preparation of high-performance energy production devices.

High-energy, high-peak-power diode-pumped Q-switched Tm:YAG laser at 2.02 μm with tunable repetition rate from 100 Hz to 1000 Hz

A high-energy, high-peak-power Q-switched Tm:YAG laser at 2.02 μm with a tunable repetition rate from 100 Hz to 1000 Hz and pulse duration in the hundreds of nanoseconds is demonstrated. The high energy output was achieved by employing a thermally stable linear cavity, including two compact laser diode continuous-wave side-pumped Tm:YAG laser modules. For Q-switched operation, stable Q-switched performance from 100 Hz to 1000 Hz was realized at near-room temperature. At a repetition rate of 100 Hz, the laser delivered a maximum pulse energy of 215 mJ with a pulse duration of 124.4 ns, resulting in a peak power of up to 1.73 MW. When the repetition rate was tuned to 200 Hz, 500 Hz, and 1000 Hz, pulse energies of 212 mJ, 125.6 mJ, and 68.2 mJ were obtained, with pulse durations of 133.6 ns, 176.3 ns, and 262 ns, respectively. To the best of our knowledge, these results represent the highest single pulse energies and peak powers ever accomplished for a diode-pumped Q-switched Tm-doped 2 μm laser operating at high repetition rates exceeding 100 Hz.

Procedural characteristics, details on epicardial mapping-based lesion transmurality, and long-term success of posterior wall isolation with a pentaspline pulsed field ablation device

Abstract Background Achieving durable posterior wall isolation (PWI) with thermal-based energies is challenging, as reconnection rates have been reported to be up to 60%. Additionally, PWI can significantly increase the risk of collateral thermal damage to the esophagus. Pulsed field ablation (PFA) is a non-thermal energy source with a remarkable safety profile due to its selectivity to cardiac tissue. Additionally, PWI durability was reported to be 100% in a recent phase-3 study enrolling persistent AF patients undergoing PFA via the FarapulseTM system. Purpose To report procedural details, acute lesion transmurality, and long-term success of PWI via the FarapulseTMsystem. Methods Consecutive persistent AF patients undergoing first-time ablation with the FarapulseTM system at four different centres were prospectively enrolled. All patients received first-time pulmonary vein isolation (PVI) and PWI. PFA was performed with either a 31mm or a 35mm device and an energy output of 2.0kV. At least 2 applications per position were delivered. Primary efficacy endpoint was freedom from any atrial tachyarrhythmia >30s after a 3month blanking period. PW lesion transmurality was assessed in a subpopulation of patients with an indication for hybrid AF ablation and left atrial appendage (LAA) clipping. The procedure was performed according to the following steps: 1) endocardial PVI plus PWI via the FarapulseTM system; 2) endocardial high-density mapping with RhythmiaTM plus Intellanav OrionTM; 3) thoracoscopy-assisted epicardial high-density mapping with Intellanav OrionTM 4) left atrial appendage clipping. Results 157 persistent AF patients (mean age: 62±11years; 75.5% males) were included. First-pass PVI was achieved in 100% of patients. On average, pulsed electric field applications for PWI were 16.3±2.4. Mean procedural time was 66±17min; left atrial dwelling and fluoroscopy times were 46±12min and 14±6min, respectively. SR restoration during PWI was observed in 8 (5.1%) cases. Minor and major periprocedural complications occurred in 2.5% (groin hematoma: 4pts) and 0.6% (diplopia with negative cerebral MRI) patients, respectively. During a mean follow-up of 353±58 days, arrhythmia-free survival was 78.3% (n=123). A redo ablation was performed in 23 patients, showing reconnection of 22.8% of PVs. Durable PWI was observed in 82.6% of patients. In the subpopulation of patients (n=3) undergoing hybrid ablation plus LAA clipping, thoracoscopy-guided epicardial mapping of the PW was performed between 57 and 72 minutes after the last endocardial PFA application. All patients showed transmural PWI (Figure1). Conclusions In a real-world multicenter registry, PWI by means of the FarapulseTM system was safe and feasible, contributing to approximately 80% success rate after 1 year. Endocardial PFA-based PWI led to 100% transmural lesions acutely, with a rate of reconnection <20% at redo procedures.

Key Advantages of Agrivoltaic Systems in Germany – A Comparison of the Electricity Yield of Different Systems

In addition to food production, energy can also be produced on agricultural land. This can lead to land use conflicts and often results in political discussions. As the energy transition progresses, the area required for renewable energies is increasing, leading to more land use conflicts. Agrivoltaics (APV) allows for continued farming alongside solar power production, providing a solution to this conflict. In this analysis, the land energy yields of different APV concepts were compared with those of other renewable energies. The results show that wind and PV can produce the most energy on land, regardless of whether the sectors are electricity, heat or transport. When considering different APV concepts on cropland, it is important to consider which area is being evaluated. A distinction can be made between the PV-system area (the visually influenced area in the landscape) and the loss of farmland. Depending on the perspective, the concepts have different advantages. The APV vertical concept enables 3 times more electricity production per loss of farmland compared to a conventional ground-mounted PV system. However, in relation to the PV-system area, the electricity yield is only 1/3 of this. The APV horizontal concept has the highest electricity yields per area of loss of farmland. The APV 3D tracing system has the highest electricity yield of all APV concepts per PV-system area. Initial economic analyses show that higher energy yields per loss of farmland are accompanied by higher costs for APV systems. These results can be used for political advice.

Assessing the engineering, environmental and economic aspects of repowering onshore wind energy

As onshore wind farms approach the end of their life, critical decisions about their future become imperative. Wind turbine repowering projects encounter multifaceted challenges across economic, engineering, environmental, and social domains. This study critically examines the state of the art in onshore wind repowering on a global scale. The potential of repowering onshore wind to achieve three key objectives is investigated: enhancing energy output, extending operational life, and contributing to net-zero targets. The analyses reveal significant increases in generation capacity through repowering, with benefits extending to local economies and emissions reduction. Additionally, technological advancements such as variable hub heights and wind turbine classes offer optimization opportunities for repowering projects. Challenges such as time-limited consents and financial disincentives prompt an examination of the complexities inherent in these issues and the opportunities they present. The study analyses the complicated interactions of engineering, environmental, and economic factors on a global scale. To overcome these challenges, the study recommends implementing stable financial support mechanisms, streamlining regulations through adaptive energy laws, and enhancing public engagement. Emphasising sustainable practices, the paper calls for clear legislative frameworks focused on wind turbine recyclability and collaborative efforts between the wind industry and communities to ensure environmentally responsible repowering projects.

Jerusalem Artichoke: Energy Balance in Annual and Perennial Cropping Systems—A Case Study in North-Eastern Poland

This article presents the results of a three-year experiment (2018–2020) conducted at the Agricultural Experiment Station in Bałcyny (north-eastern Poland) with the aim of determining Jerusalem artichoke (JA) yields and the energy balance of biomass production in (i) a perennial cropping system (only aerial biomass was harvested each year) and (ii) an annual cropping system (both aerial biomass and tubers were harvested each year). When JA was grown as a perennial crop, the demand for energy reached 25.2 GJ ha−1 in the year of plantation establishment and 12.3–13.4 GJ ha−1 in the second and third year of production. The energy inputs associated with the annual cropping system were determined in the range of 31.4–37.1 GJ ha−1. Biomass yields were twice as high in the annual than in the perennial cropping system (20.98 vs. 10.30 Mg DM ha−1). Tuber yield accounted for 46% of the total yield. The energy output of JA biomass was 1.8 times higher in the annual than in the perennial cropping system (275.4 vs. 157.3 GJ ha−1). The average energy gain in JA cultivation ranged from 140 (perennial crop) to 241 GJ ha−1 (annual crop). The energy efficiency ratio of JA biomass production reached 7.7–13.3 in the perennial cropping system, and it was 20% lower in the annual cropping system. These results imply that when JA was grown as an annual crop, an increase in energy inputs associated with plantation establishment (tillage and planting) and the harvest and transport of tubers was not fully compensated by the energy output of tubers.

Insights into hydrothermal treatment of biomass blends: Assessing energy yield and ash content for biofuel enhancement.

This study explores the Hydrothermal Carbonization (HTC) treatment of lignocellulosic biomass blends, delving into the influence of several key parameters: temperature, additive nature and dosage, residence time, and biomass composition. Rapeseeds, Pinus radiata sawdust, oat husks, and pressed olive served as the studied biomasses. One hundred twenty-eight experiments were conducted to assess the effects on mass yield (MY), energy yield (EY), higher heating value (HHV), and final ash content (ASH) by a Factorial Experimental Design. The derived model equations demonstrated a robust fit to the experimental data, averaging an R2 exceeding 0.94, affirming their predictive accuracy. The observed energy yield ranged between 65% and 80%, notably with sawdust and olive blends securing EY levels surpassing 70%, while rapeseed blends exhibited the highest HHV at 25 MJ/kg. Temperature emerged as the most influential factor, resulting in an 11% decrease in MY and a substantial 2.20 MJ/kg increase in HHV. Contrastingly, blend composition and additive presence significantly impacted ASH and EY, with all blends exhibiting increased ASH in the presence of additives. Higher initial hemicellulose and aqueous extractive content in raw biomass correlated proportionally with heightened HHV.

Experiment and performance analysis of serpentine-shaped cantilever beam for pipeline vibration-based piezoelectric energy harvester prototype development

Abstract Pipelines produce vibrations during fluid or gas transportation. These vibrations are less likely to cause structural failure as they exist with a small magnitude and can be harvested into useful energy. This paper presents a study on the piezoelectric energy-harvesting method converting mechanical energy from pipeline vibration into electrical energy. The performance of the serpentine-shaped piezoelectric cantilever beam was observed to check whether the design can produce the highest output voltage within the allowable vibration region of the pipeline from 10 to 300 Hz through finite element analysis using COMSOL Multiphysics software (Supplementary Material). In addition, this study investigates the energy-harvesting potential of the proposed design under real pipeline vibration conditions through a lab vibration test. The harvested energy output is evaluated based on various vibration frequencies and amplitudes, which gives an idea of the device and its performance under different operating conditions. The experiment result shows that the energy harvester produced an open-circuit voltage of 10.28–15.45 V with 1 g of vibration acceleration. The results of this research will contribute to the development of efficient piezoelectric energy harvesters adapted for pipeline environments.

Optimizing renewable energy systems through artificial intelligence: Review and future prospects

The global transition toward sustainable energy sources has prompted a surge in the integration of renewable energy systems (RES) into existing power grids. To improve the efficiency, reliability, and economic viability of these systems, the synergistic application of artificial intelligence (AI) methods has emerged as a promising avenue. This study presents a comprehensive review of the current state of research at the intersection of renewable energy and AI, highlighting key methodologies, challenges, and achievements. It covers a spectrum of AI utilizations in optimizing different facets of RES, including resource assessment, energy forecasting, system monitoring, control strategies, and grid integration. Machine learning algorithms, neural networks, and optimization techniques are explored for their role in complex data sets, enhancing predictive capabilities, and dynamically adapting RES. Furthermore, the study discusses the challenges faced in the implementation of AI in RES, such as data variability, model interpretability, and real-time adaptability. The potential benefits of overcoming these challenges include increased energy yield, reduced operational costs, and improved grid stability. The review concludes with an exploration of prospects and emerging trends in the field. Anticipated advancements in AI, such as explainable AI, reinforcement learning, and edge computing, are discussed in the context of their potential impact on optimizing RES. Additionally, the paper envisions the integration of AI-driven solutions into smart grids, decentralized energy systems, and the development of autonomous energy management systems. This investigation provides important insights into the current landscape of AI applications in RES.