Low Power Research Articles

Humble leader, successful follower: Linking leader humility with follower career outcomes via leader competence from an implicit leadership theory perspective

Drawing on implicit leadership theory, this study examines the key conditions under which leader humility facilitates the career outcomes of employees. First, considering both similar-attraction and opposite-attraction perspectives within implicit leadership theory, we propose two competing hypotheses, and suggest that leader humility interacts with follower narcissism to predict perceived leader competence. Second, in accordance with implicit leadership theory, we propose that humble leaders are perceived to be more competent when the power distance climate is relatively lower. Further, we suggest that perception of their leaders as competent is positively related to followers' career satisfaction and proactive career behavior. To test our model, we implemented a multi-wave, time-lagged survey with 187 subordinate–supervisor dyads from 79 teams. The results demonstrate that followers who are highly narcissistic or who are members of groups with a lower power distance climate are more likely to regard humble leaders as competent, which allows them to experience enhanced career satisfaction and engage in more proactive career behavior. Both the theoretical and practical implications are discussed.

Intensity Matters: Effect of Different Work-Matched Efforts on Subsequent Performance in Cyclists.

To assess the effect of 2 work-matched efforts of different intensities on subsequent performance in well-trained cyclists. The present study followed a randomized controlled crossover design. Twelve competitive junior cyclists volunteered to participate (age, 17 [1]y; maximum oxygen uptake, 71.0 [4.7]mL·kg-1·min-1). The power-duration relationship was assessed through 2-minute, 5-minute, and 12-minute field tests under fresh conditions (control). On subsequent days and following a randomized order, participants repeated the aforementioned tests after 2 training sessions matched for mechanical work (∼15kJ/kg) of different intensities (ie,a moderate-intensity continuous-training [60%-70% of critical power; CP] session or a session including high-intensity intervals [3-min repetition bouts at 110%-120% of the CP interspersed by 3-min rest periods]). A significantly lower power output was found in the 2-minute test after the high-intensity training session compared not only with the control condition (-8%, P < .001) but also with the moderate-intensity continuous-training session (-7%, P = .003), with no significant differences between the latter conditions. No significant differences between conditions were found for the remaining tests. As a consequence, the high-intensity training session resulted in significantly lower W' values compared to both the control condition (-27%, P = .001) and the moderate-intensity continuous-training session (-26%, P = .012), with no differences between the 2 latter conditions and with no differences for CP. A session including high-intensity intermittent efforts induces a greater fatigue, particularly in short-duration efforts and W', than a work-matched continuous-training session of moderate intensity.

Revealing Fast Negative Capacitance in PbZr0.2Ti0.8O3 Thin Film with Acicular Ferroelastic Domains.

Negative capacitance effects with fast response times hold great potential for reducing the power consumption in high-frequency nanoelectronics. Nevertheless, the negative capacitance effect faces considerable complexity arising from the dynamic interplay among electrostatic, nucleation energies, and domain evolution. This intricate balance poses a formidable challenge to achieving fast negative capacitance. Herein, we have achieved a fast negative capacitance time of ∼16.23 ns in PbZr0.2Ti0.8O3 (PZT) thin film, and our investigation confirms the presence of acicular ferroelastic domains within the PZT thin film. Under reversal electric fields, these acicular ferroelastic domains undergo a unique flipping process, transitioning through domain expansion and contraction. This distinct domain flipping manner accelerates the nucleation and growth of ferroelectric domains, thereby facilitating the observed fast negative capacitance. The realization of fast negative capacitance holds substantial promise for reducing operational time and power consumption, offering prospects for the design of nanoelectronics with significantly lower power requirements.

Addressing Power Efficiency and Stability in SRAM: A 4x4 Cell Array Design with Enhanced Power Gating

In order to lower power consumption and leakage currents during active operation, the suggested SRAM architecture with power gating design trims the source voltage across the SRAM cell, ranging from 50 to 150 mV. Power gating based on sectors is utilized, using a self-biasing approach where the gate terminal and source of a PMOS transistor act as a diode, controlling the virtual ground. However, three challenges arise with this method in nanometer technology: the additional self- biasing transistor (SBT) occupies 5% more space, the source voltage adjustment mechanisms are not effectively implemented, and the increase in virtual ground voltage leads to bias temperature instability. To implement this design, a 4x4 SRAM cell array is constructed, consisting of 4 rows and 4 columns of 10T SRAM cells. A decoder addresses these cells, and each row represents half a byte, with control circuitry managing input and output data. Additionally, the outputs of individual cells in each column are combined using a 4-bit OR, producing a single data output point. This architecture effectively reduces power consumption while maintaining operational efficiency, making it suitable for nanometer-scale SRAM designs.

Zynq FPGA for hardware co-simulation of Takagi-Sugeno neuro-fuzzy for MPPT algorithm incorporating sensorless wind speed estimation in grid-connected wind system

This paper presents a hardware implementation on the Field Programmable Gate Array (FPGA) Zed-Board of a Maximum Power Point Tracking (MPPT) incorporating pitch angle control system and sensorless wind speed estimation using the Takagi-Sugeno (TS) Adaptive Neuro-Fuzzy Inference System (ANFIS). The described approach is applied specifically to a grid-connected Permanent Magnet Synchronous Generator-based Variable Speed Wind Turbine (VSWT). Firstly, the paper proposes an estimator-based TS-ANFIS model for real-time wind speed estimation, addressing challenges with conventional anemometers, such as precision, and susceptibility to adverse weather conditions. The estimated wind speed guides the calculation of an optimized mechanical speed for MPPT control. Secondly, an MPPT-based TS-ANFIS controller is introduced to achieve the maximum power point, integrating pitch angle control to prevent turbine failures in high wind speeds. Finally, the paper emphasizes the hardware implementation on the FPGA Zed-Board, leveraging its parallel processing capabilities to enhance control system quality by reducing sampling periods and loop delays. Validation includes simulations in Matlab/Simulink using the Xilinx system generator and hardware co-simulation on the FPGA Zed-Board. A comparative analysis highlights the contributions and advancements of the proposed models and controllers compared to recent schemes in the field. Indeed, the proposed MPPT-based TS-ANFIS approach effectively maximizes the power extracted from the VSWT, achieving an estimated average efficiency of 99.84 %. In contrast, PID methods show average efficiencies of 92.63 %. Additionally, compared to other published works, the proposed MPPT-based TS-ANFIS method demonstrates a rapid response time of 0.001 s and lower static error at 0.02 %. Furthermore, the proposed WSE-based TS-ANFIS model exhibits superior performance and effectiveness, yielding a root mean squared error (RMSE) of 0.0085381, a determination coefficient (R2) value of 0.99985, and a Pearson correlation coefficient (r) value of 0.99996. Moreover, the proposed hardware implementation of these approaches maintains lower power usage, operating at a high frequency of 80.38 MHz and achieving a high throughput of 2572.16 Mbps.

Leveraging supercapacitors to mitigate limitations and enhance the performance of battery energy storage systems: A simulation and experimental validation

The importance of supercapacitors has grown significantly in recent times due to several key features. These include their superior power density, faster charging and discharging capabilities, eco-friendly nature, and extended lifespans. Battery Energy Storage Systems (BESS), on the other hand, have become a well-established and essential technology in the field of energy storage. However, BESS still faces challenges such as lower power density, limited cycle stability, and potential chemical hazards. Additionally, batteries perform poorly during transient events (sudden changes in power) due to their larger time constants, which can also shorten their lifespan. By strategically combining supercapacitors with BESS, their combined strengths can optimize battery performance. This study explores the role of supercapacitors in enhancing battery performance through both simulation and experimentation. The results obtained experimentally matched with simulated results.

Optimization of 5 GHz Wi-Fi Network Performance Using Leaky Feeder Cables in Building Infrastructure

Wi-Fi operates on three frequencies: 2.4 GHz, 5 GHz, and 6 GHz. The 2.4 GHz frequency experiences more interference due to its shared frequency with Bluetooth. Wi-Fi on the 5 GHz frequency encounters less interference but has lower transmission power. This research aims to optimize the 5 GHz Wi-Fi network by utilizing Leaky Feeder cables in the AI building of the State Polytechnic of Malang. The study includes the analysis and design of Leaky Feeder cables, where the access point transmits Wi-Fi signals at a 5 GHz frequency through the leaky feeder cable, which is designed with small slots to allow a small amount of signal energy to leak out. For the farthest signal coverage, the access point reaches a distance of 77 meters with a signal strength of -89 dBm after the installation of the leaky feeder cable. This indicates that the leaky feeder cable has helped extend the access point's signal coverage to a greater distance, albeit with lower signal strength.

Design and Architecture Definition for Advanced 3D Fan-Out Wafer-Level Packaging

Advanced 2.5D/3D wafer-level fan-out packaging technologies have been studied widely in literature and industry in recent years. Miniaturization, reduction in manufacturing costs, improvement in performance, and lower power consumption using packaging technologies drive increase in interconnect density and pitch scaling. Heterogeneous systems in package used in advanced packaging often include a combination of silicon, epoxy underfill or mold compounds, and organic or inorganic passivation or redistribution layers. This heterogeneity poses challenges with manufacturability, process selection, package architecture, and test vehicle design. The coefficient of thermal expansion mismatch, wafer warpage, and wafer yield are some of the critical process challenges. Delamination of silicon side wall or passivation to epoxy underfill or mold compound, joint fatigue are critical reliability challenges. This article explores various processes and reliability challenges with 3D wafer-level fan-out packaging and provides package design and architecture guidelines to overcome these failure modes. Stacked die-to-wafer test vehicles have been used for data collection. Different assembly materials, processes, and tooling have been evaluated to define comprehensive design rules.

A new model framework of laser powder bed fusion by integrating a powder-scale model with a thermodynamic database

Laser powder bed fusion (LPBF) has been increasingly practised in powder-based additive manufacturing industries, yet the fundamentals including multiphase flow and phase change were not well understood. This work develops a powder-scale computational fluid dynamics-discrete element method-volume of fluid (CFD-DEM-VOF) model integrated with a temperature-dependent thermodynamic database to simulate the multiphase flow with phase change in the LPBF process. The integrated model is validated by comparing prediction results with the experimental measurements. Several LPBF cases with different laser powers, track numbers, and hatch distances are numerically studied. The simulation results demonstrate that the model can capture the key phenomena and key features in the LPBF process observed experimentally, including temperature distribution and morphology of molten tracks. The results also show the random configuration of the powders leads to the asymmetrical distribution of the temperature in the molten pool. The laser beam with a lower power density causes pore defects in the transition zone of the laser track because of partially melted particles, causing a rough molten surface. Incorporating an overlap between two molten tracks is crucial for enhancing the surface quality and mitigating issues such as discontinuity and particle adherence along the track edge. This model provides a cost-effective solution for comprehending and optimizing multiphase flow and phase change phenomena within the LPBF process in additive manufacturing.

Brain electrical activity in Newly diagnosed Generalized Anxiety Disorder: A Quantitative EEG analysis

Background: Generalized Anxiety Disorder (GAD) is one of the most common global mental disorders with negative impact on social life. Quantitative EEG can objectively estimate the anxiety status. Relatively increase beta activity along with decrease alpha activity is associated with GAD. Objectives:To evaluate power of all brain waves in female patients with GAD. Methods:This observational study was conducted on 20 female patients with GAD (age 20-40 years),For comparison, 20 healthy female volunteers of same age were enrolled as control. In this study, EEG was recorded for 3 minutes by placing electrodes on scalp according to 10-20 system. To assess brain electrical activities, the band power of delta, theta, alpha and beta brainwave was recorded from an EEG data acquisition device, EEG Traveler Brain Tech 32+ CMEEG -01, India. Power spectral analysis of EEG data was done by BT40 analysis software. Data were expressed as median (Inter Quartile Range). Statistical analysis was done by Mann-Whitney U test.Results: The significantly higher absolute power of beta was found in most of the electrodes of prefrontal, frontal and temporal region as well as significantly lower power of alpha, theta and delta werefound in all cortical regions in female GAD patients compared to healthy controls at baseline. Conclusion: This study concluded that GAD patients had high excitable state in most of cortical region associated with lack of relaxing ability. J Bangladesh Soc Physiol 2023;18(2): 78-88

Effect of the PROFIT-BR exercise program on physical fitness of children: a protocol study

BackgroundConsidering that school environments are important and have the potential to promote an active lifestyle with direct impacts on physical, motor, cognitive, affective, and psychological aspects, the objective of this study was to evaluate the effect of a physical exercise program in the school context.MethodsA parallel, two-arm experimental research project carried out over 19 weeks, with two non-consecutive weekly classes of 60 min, with the inclusion of PROFIT-BR in the initial 15 min of the class followed by 40 min based on specific physical education skills on indicators of physical fitness in children. Estimates of excess weight and visceral fat will be measured and assessed by body mass index and waist-to-height ratio, respectively, and cardiorespiratory fitness by performance in the six-minute run/walk test. Flexibility will be assessed by the sit and reach test; and muscle strength measured by the number of sit-ups in one minute. The 2 kg medicine ball throw and the horizontal jump will be used to measure upper and lower limb power, respectively, the square test used as a measure of agility, and the 20-meter run test used to measure speed. To analyze the differences between baseline and post-intervention values, repeated measures ANOVA adjusted for somatic maturation will be used. The magnitude of the effect size will be estimated by “partial eta squared”. Statistical analyses will be carried out using SPSS version 24.0 software and a 5% probability of error in the analyses will be accepted.DiscussionThe main theoretical assumption of the proposal is the cause-and-effect relationship between the regular practice of physical exercise in childhood and adolescence and several parameters of health and motor performance. The elaborated program has a lot of applicability because it was wondering from the perspective of the school, in terms of materials, space, and objectives of physical education.

Periodic scratching for global laser-induced damage threshold reduction

Mitigating laser-induced damage threshold (LIDT), which quantifies the power consumption during laser processing, is the key factor in optimizing and updating laser processing with lower energy and power. While methods such as material doping, surface roughness modification, and defect induction have shown promise in reducing LIDT, they fall short of providing a comprehensive solution that offers global LIDT reduction and precise LIDT modulation while relying on minimal workpiece preprocessing. To address the issue, we proposed a new periodic scratching strategy. This approach, validated through both simulations and experiments focused on femtosecond laser etching of soda-lime glass workpieces, demonstrates the capability to achieve global LIDT reduction through period modulation and optimization. We envision that this work paves the way for innovative advancements in laser processing techniques.

Ultra-Low-Power, Extremely Stable, Highly Linear-Response Thermal Conductivity Sensor Based on a Suspended Device with Single Bare Pt Nanowire.

The continuous and stable monitoring by sensors is crucial for ensuring the safe utilization of hydrogen due to its inherent high explosiveness. Currently, catalyst aging and oxygen dependence often limit the lifetime of most sensors, which stems from the sensing materials and catalytic reaction in comparison to thermal conductivity sensors. Thermal conductivity sensors possess superior sensing characteristics such as lowpower consumption and exceptional stability attributed to their free-catalysts or free-oxygen nature. Herein, we present an ultralow-power hydrogen-thermal conductivity sensor based on suspended bare platinum nanowires. This sensor incorporates two suspended independent working elements (serpentine/bridge), each of which is thermally decoupled from the substrate. Also, the bridge element operates at significantly lower power levels (the lowest ∼3.32 μW) compared to existing direct-current hydrogen-thermal conductivity sensors. Furthermore, it demonstrates a 99.99% linearity between hydrogen concentration and response under various operating powers. Finally, our sensor shows remarkable stability through a repeatability test (>30,000 cycles). This developed platform provides an optimal structure scheme for integrated sensors with ultralow-power, extremely stable, highly linear-response sensing characteristics, which is expected to be widely used for hydrogen detection and leakage warning under various pipeline distribution systems.

Mechanical power distribution of the lower limbs changed during intermittent 300 countermovement jumps.

The aim of this study was to investigate the effect of 300 intermittent countermovement jumps (CMJs) on the mechanical power distribution at the joints of the lower limbs and the influence of the upper body to explain vertical jump performance. Fifteen male sport students (age 24.5 ± 2.3years; body height 1.85 ± 0.06m; body mass 84.8 ± 8.5kg) performed a set of intermittent 300 CMJs at maximal effort. An inverse-dynamic approach was used to calculate the mechanical power at the hip, knee, and ankle joint for each jump. Jump height and mechanical power in the knee and ankle joints decreased significantly (p < .010), while remained the same in the hip joint. In contrast, a significant increased vertical velocity was observed for the upper body segment. In addition, a significant higher angular momentum at the center of mass was detected during the braking and propulsion phase. The findings highlight a fatigue-related decrease in lower limb power, particularly in the knee and ankle joints, which changed the mechanical power distribution at the joints of the lower limbs. The trunk extensor muscles were probably able to counteract the fatigue-related decrease in lower limb power by increased vertical velocity of the upper body segment and higher angular momentum at the center of mass during the braking and propulsion phase. Accordingly, the most effective way to maintain jumping performance in fatigued state would be to improve the fatigue resistance of the knee extensors, ankle plantar flexors, and trunk extensor muscles.

High responsivity zero-biased Mid-IR graphene photodetector based on chalcogenide glass waveguide

Graphene’s unique properties have made it a promising material for high-performance photodetectors due to its interesting features including broadband absorption, fast speed, and strong photothermoelectric effect. Here, an optimized waveguide photodetector incorporating double graphene layers with two cores is presented to boost the responsivity (∼twice), at Mid-IR range. The proposed structure operates in the zero-bias regime to eliminate the dark current issue associated with the zero bandgap nature of graphene and leads to lower noise equivalent power. The presented photodetector operating based on split gates to electrostatically induce the p-n junction in graphene channels, operates based on the photothermoelectric effect and provides responsivity, NEP, and 3 dB bandwidth of 6.3 V/W, 0.34 nW/Hz1/2, and 1.54 GHz, respectively for the detection at λ = 5.2 μm. The feasibility of the proposed structure is proved according to recent experimentally demonstrated photodetectors. Hence, the obtained results are reliable, in practice. The study has been accomplished by numerical simulation of mode profiles and solving the heat equation to extract the characteristics of the proposed photodetector. The zero-power consumption and tunability of the proposed structure make it a promising candidate for sensing, industrial, defense, and environmental monitoring applications with high accuracy.

Improving lower body muscle power indicators for non-athlete university students through plyometric exercise

Muscle power (FxV, explosive strength or explosive power) is an element of fitness level that influences the quality and efficiency of movements. Most of the studies that address plyometrics identify the effectiveness of this method at the level of performance athletes with different specializations and muscle power requirements. We considered that we can also study the possibility of using plyometrics in physical education lessons. The research identifies the benefits of implementing plyometric exercises for non-athlete university students on lower body muscle power indicators in curricular physical activities. The group of analyzed students (327 subjects/undergraduate level, of which 143 female and 184 male) participated in physical education lessons during one academic year (1 activity per week). The plyometric exercises used were jumping variants, diversified and adapted in dosage to the motor possibilities of the non-athlete students (on one or both legs, lateral, on ladder rungs or boxes, over hurdles, over cones, vertical and horizontal jumps). Their usefulness and effectiveness were verified by 3 successive tests: at the beginning, middle, and end of the academic year, through a battery of 7 lower body muscle power tests. The statistical calculation identifies significant increases in performance for both genders for all tests applied, both between the initial and final tests (T1-T3) and over the shorter time intervals/T1-T2 and T2-T3 (p &lt;0.05). For males, we found greater progress in the second semester of the year (T2-T3) for 5 of the 7 tests, so their adaptation is better and they respond to plyometric training better in the second part of the academic year. For females better progress in semester 2 (T2-T3) for 3 of the tests, respectively greater differences at the end of semester 1 (T1-T2) for 3 tests, especially for endurance power and 10 m acceleration. The research results confirm the effectiveness of plyometric exercises in increasing muscle power indicators for the studied student groups and are a useful option for improving fitness levels. The attractiveness and diversity of the used exercises ensured good student engagement in the lessons. Although the improvements are statistically significant, the results do not indicate spectacular increases and are still weaker than the values recorded in most other research. This is because the students involved in our study are not at all concerned about engaging in leisure time physical activities, except for curricular physical education activities, sedentarism being a major problem among young people.

Experimental study on steady-state performance of an axial grooved heat pipe under rotational condition

This study explores the performance optimization of grooved heat pipes under rotational conditions, focusing on both straight and curved designs. To address the challenges posed by centrifugal forces in rotating systems, we designed and tested a conventional straight grooved heat pipe and a novel curved grooved heat pipe with a variable curvature structure. Experiments were conducted across a range of rotational speeds (0–20 rpm), heat loads (30 W-300 W) and loading methods (heat load before rotation and heat load after rotation) to evaluate the operating performance of both grooved heat pipes. The results indicate that the straight grooved heat pipe struggled to maintain efficiency under rotational conditions, as centrifugal forces caused fluid to accumulate at both ends, leading to higher operating temperatures and reduced heat transfer efficiency. At the case of 20 rpm with a heat load of 110 W, the temperature difference exceeded 25 °C, highlighting the limitations of the straight design in such environments. In contrast, the curved grooved heat pipe effectively mitigated the impact of centrifugal forces. Its design reduced liquid accumulation in the condenser section, maintained beneficial acceleration effects in the evaporator section, and improved overall heat transfer performance. Specifically, at 20 rpm, the curved pipe successfully transferred over 300 W with a temperature difference not exceeding 5 °C, demonstrating its superior performance. However, at higher rotational speeds and lower power levels, the curved design also showed some limitations, as excessive fluid accumulation in the evaporator section led to a shift in the evaporation site, increased thermal resistance, and a certain degree of superheating. These findings highlight the potential of the variable curvature design in improving the efficiency of grooved heat pipes under rotational conditions. This work advances the understanding of fluid dynamics and heat transfer mechanisms in such systems, offering insights that could inform the design of more efficient heat pipes for rotating applications.

Effects of different drop height training on lower limb explosive, anaerobic power, and change of direction performance in Chinese elite female wrestler

ObjectiveThe purpose of this study was to explore the effects of an 8-week drop jump (DJ) training program at varying heights on lower limb strength, anaerobic power, and change of direction (CoD) abilities in elite female Chinese wrestlers. MethodsThe drop jump (DJ) training program was conducted at varying heights of 20, 40, 60, and 80 cm. The study involved 40 elite female wrestlers who were divided into five groups respectively: Control, DJ20, DJ40, DJ60, and DJ80. Participants engaged in an 8-week structured training program that incorporated drop jumps at the assigned heights for each group. ResultsThe results demonstrated significant enhancements in explosive strength and anaerobic power, particularly with DJ40 to DJ60 (d = −2.48 to −5.54), and in CoD performance across all DJ groups (d = 1.07 to 5.25), showcasing a dose-response effect. ConclusionsOptimal training effects for lower limb strength and power were found at drop jump heights of 40–60 cm, while heights of 60–80 cm yielded the most significant improvements in CoD performance. This highlights the specificity of DJ training heights in enhancing athletic performance among elite female wrestlers.

Production of High-Value Green Chemicals via Catalytic Fast Pyrolysis of Eucalyptus urograndis Forest Residues

Lately, pyrolysis has attracted significant attention due to its substantial potential for bio-oil production, with the ability to serve as a renewable energy source and/or facilitate the production of valuable chemical compounds. The chemical compounds generated and their amounts are completely influenced by the traits and chemical makeup of the initial biomass. In this work, the catalytic fast pyrolysis of Eucalyptus urograndis canopy was carried out using a pyrolyzer coupled to gas chromatography/mass spectrometry (Py-GC/MS) at different temperatures and in the presence and absence of catalysts. Elemental composition analysis was employed to characterize the chemical composition of the biomass. The results showed a biomass with a carbon percentage of 50.20%, oxygen of 43.21%, and hydrogen of 6.34%, as well as a lower calorific power of 17.51 MJ/kg. The Py-GC/MS analyses revealed the presence of several noteworthy compounds, including acetic acid (C2H4O2) and, in smaller quantities, hydrogen (H2), furfural (C5H4O2), and levoglucosan (C6H10O5). The technical-economic evaluation revealed that the production of acetic acid, furfural, hydrogen, and levoglucosan commands a high market price. Additionally, a single production cycle is anticipated to yield a favorable technical-economic balance, generating approximately USD 466.10 /ton of processed biomass. This outcome is achieved through the process of catalytic fast pyrolysis, where CuO has been identified as the most suitable catalyst.

Performance analysis of refuse‐derived fuel gasification plant with carbon capture and storage for power, heating, and hydrogen production

AbstractAmong various waste‐to‐energy technologies, gasification is one of the most promising, because of high efficiency, feedstock flexibility, and carbon capture potential. This case study is focused on comprehensive analysis of integrated gasification combined cycle‐based plant with refuse‐derived fuel (RDF) as feedstock and carbon capture. As there are hardly any studies focused on simulation of waste gasification with carbon capture, most of which are lacking important process specifics, this study addresses existing research gap. Process flowsheets are developed in detail according to literature data for various process configurations and simulated in AspenPlus software, while obtained results on material and energy balance were used for estimation of plant efficiency and performance indicators. Waste generation data in Novi Sad, Serbia, were used for determination of RDF flowrate. Configurations include different syngas cleaning pathways, final products (power, heating, and hydrogen) and co‐gasification with coal. Cogeneration increases overall plant efficiency from 27%–36% (power production only) to 63%–76%. High net hydrogen efficiencies, around 58%, compensate lower power and thermal energy production in hydrogen‐based configurations. Overall, co‐gasification produces better results due to higher feedstock heating value. Obtained results will be used in further research for environmental and economic evaluation to provide multi‐level assessment of proposed processes.