A method is proposed for calculating the I-V and P–V curves of a PV array composed of series-, parallel- and series–parallel connected-cells or modules or strings exposed to uniform and non-uniform radiation with and without bypass diodes (BpDs). The P–V curve of the array exposed to uniform radiation has one power peak irrespective of the presence or absence of BpDs. In non-uniform radiation, the curve has a number of power peaks equal to that of the radiation levels in presence of BpDs irrespective of the number of diodes against one peak in absence of BpDs. The proposed method is based on combining Lambert-based simultaneous-solutions of the describing-equations V = g (I) and I = f (V) to obtain a global voltage equation V in terms of current I over all current range. The method is extended to locate the global maximum power point (GMPP) of the array by locating a point close to the GMPP

Reflective cracking poses a significant challenge to the performance and durability of Hot-Mix Asphalt (HMA) overlays, particularly when applied over deteriorated Joint Plain Concrete (JPC) pavements. This study explores the effects of reflective cracking on overlay pavements through Finite Element Analysis (FEA) using ABAQUS, integrating the Cohesive Zone Model (CZM) to simulate crack initiation and propagation. Key factors analysed include overlay thickness, modulus of elasticity, JPC joint width, and fracture areas within the pavement structure. The results indicate that increasing overlay thickness from 30 mm to 100 mm reduces tensile strain by up to 68.8%, significantly improving stress dissipation. Variations in the modulus of elasticity (ranging from 1500 Mpa to 6000 Mpa) were found to reduce tensile strain by approximately 37.5%. Additionally, the number of load repetitions required to cause reflective cracking increases with overlay thickness: 11,220 repetitions for 30 mm, 226,458 repetitions for 60 mm, and 458,835 repetitions for 100 mm. Wider JPC joints (from 6 mm to 20 mm) increased stress concentrations and crack severity. The study also quantified fracture behavior using the Representative Fracture Area (RFA), with RFA increasing by up to 99% under higher load repetitions. These findings provide practical recommendations for pavement design, particularly in selecting optimal overlay thicknesses and material properties to extend the lifespan of rehabilitated pavements and mitigate reflective cracking.

This comprehensive review analyzes research on enhancing steam boiler performance through energy and exergy analysis, emphasizing their importance in promoting sustainability and competitiveness in thermal power plants. The review identifies the combustion zone and heat exchanger surfaces as primary sources of irreversibility across diverse boiler designs. Higher pressure designs, particularly ultra-supercritical units, exhibit significant reductions in exergy destruction. Optimization strategies, such as combustion air preheating, excess air ratios, fuel properties, main steam conditions, and feedwater temperatures, play a vital role in improving efficiency. The study highlights the need for dynamic modeling and transient load evaluations, advocating for integrated co-optimization methodologies and exploring advanced materials, combustion techniques, waste heat recovery, and emerging technologies. Energy-exergy analysis emerges as a guiding framework for the sustainable evolution of steam boiler infrastructure and power generation. This review contributes to the literature by establishing performance benchmarks, identifying opportunities for improvement, and highlighting advancements in heat transfer and combustion processes, providing valuable guidance for enhancing thermal power plant efficiency and reducing environmental impact.

This paper presents an injection locked digitally controlled ring oscillator (IL-DCRO). To reduce jitter variations, minimize oscillator spurious signals, and eliminate periodical phase error, a double edge-injection (window injection) scheme with synchronized edge directions is proposed. A combinational edge generator is utilized to substitute the sequential edge generators for injection timing requirements relaxation. By biasing devices in deep triode, digitally controlled delay cells currents are adopted for frequency tuning. This helps reducing the devices flicker (1/f) noise and minimize the DCRO overall phase noise. At 1 MHz offset of frequency, the proposed oscillator has a measured phase noise of −125.95 dBc/Hz and −115.6 dBc/Hz at oscillation frequencies of 913.4 MHz and 432.6 MHz, respectively. Fabricated in 350 nm CMOS process, with a maximum power consumption of 3.3 mW, and oscillating at 913.4 MHz, this DCRO achieves a tuned oscillator figure of merit (FoM) of −197.35 dBc/Hz. The core area of this edge-injection-based DRCO is only 0.08 mm².

Direction-of-arrival (DOA) estimation performance of adaptive filtering-based methods, e.g., least mean square (LMS), degrades significantly in adverse conditions (i.e., at low signal-to-noise ratio, small number of antenna array elements and snapshots, and in presence of two closely spaced signal sources). Moreover, these estimation methods require many regulating parameters to efficiently update the step size, which are very difficult to tune manually in practical scenarios. Although the subspace decomposition-based methods, e.g., multiple signal classification, provide somewhat better performance in adverse conditions, they are based on the statistical properties of the signal, such as spatial covariance matrix (SCM) and its eigenvalue decomposition, resulting in high computational complexity. In this article, a robust DOA estimation method is proposed based on a variable step size LMS algorithm with low-rank matrix approximation (LRMA) where the received signal denoising problem is formulated first as an LRMA problem directly using the received signal observations instead of the SCM, and then the variable step size is calculated from the predicted instantaneous error and the estimated powers of reference and denoised signals. The output spatial spectrum is determined by the reciprocal of the antenna array pattern, and the high peaks in the output spatial spectrum give the received signals estimated directions. The proposed method updates the step size efficiently without choosing any regulating parameter and achieves improved performance even in adverse conditions due to the denoising feature of LRMA with low computational complexity. Furthermore, we also conduct the convergence and stability analyses of the proposed iterative estimation method with the denoised signal. Numerical results demonstrate that the proposed method outperforms state-of-the-art methods, especially those which yielded based on adaptive filtering.

Abstract: The efficiencies and performance of gas turbine cycles are highly dependent on
parameters such as the turbine inlet temperature (TIT), compressor inlet temperature (T1), and
pressure ratio (Rc). This study analyzed the effects of these parameters on the energy
efficiency, exergy efficiency, and specific fuel consumption (SFC) of a simple gas turbine
cycle. The analysis found that increasing the TIT leads to higher efficiencies and lower SFC,
while increasing the To or Rc results in lower efficiencies and higher SFC. For a TIT of
1400 ℃, T1 of 20 ℃, and Rc of 8, the energy and exergy efficiencies were 32.75% and 30.9%,
respectively, with an SFC of 187.9 g/kWh. However, for a TIT of 900 ℃, T1 of 30 ℃, and Rc
of 30, the energy and exergy efficiencies dropped to 13.18% and 12.44%, respectively, while
the SFC increased to 570.3 g/kWh. The results show that there are optimal combinations of
TIT, To, and Rc that maximize performance for a given application. Designers must consider
trade-offs between efficiency, emissions, cost, and other factors to optimize gas turbine cycles.
Overall, this study provides data and insights to improve the design and operation of simple
gas turbine cycles.