Haldia Institute of Technology or HIT Haldia is an autonomous engineering institute in West Bengal, India, approved by All India Council for Technical Education (AICTE), New Delhi and affiliated to Maulana Abul Kalam Azad University of Technology (MAKAUT).HIT Haldia Institute of Technology is the institute which has an enclave campus of 37 acres of land having an administrative block of 153780.5 square meters with nine academic blocks having an area of around 24980 square meters and a hostel area of 24315 square meters. The hostel facility is available for both boys and girls to accommodate almost all the students. Facilities include an amenities area of 1830 square metres a library, Post Office, laundry facility, medical stores, bank with ATM facilities and restaurant. There are 13 B.Tech courses, and five M.Tech and MCA, MBA courses.
The advancement of efficient photo catalytic materials for environmental applications has become a rapidly growing area of research in recent years. This study emphasizes the photodegradation of Methyl Orange (MO), an anionic dye, under natural solar light using an innovative heterogeneous Ag@Co₃O₄/g-C₃N₄ catalyst synthesized via a green method using Syzygium cumini leaf extract. A comprehensive set of characterization techniques, were employed to investigate the crystal structure, surface morphology, functional groups, elemental composition, and optical properties of the synthesized material. The BET analysis indicated that the nanocomposite possessed a surface area of 68.4 m²/g, while the energy band gap, determined from Tauc’s plot, was approximately 2.25 eV. The photo catalytic performance was investigated by MO dye degradation with changing factors such as dye solution pH, dye concentration, catalyst dose, and irradiation period. Within 60 min, the catalyst attained a maximum degradation efficiency of 99
We report a detailed compositional dependence of magnetic interactions in (1 − x) (Co3O4) + x (Co2TiO4) [0 ≤ x (wt.
The corrosion inhibition performance of the food dye Green S (GS) on 304L austenitic stainless steel in 0.5 M H2SO4 was evaluated through electrochemical impedance spectroscopy (EIS), potentiodynamic polarization (PDP), scanning electron microscopy (SEM), and theoretical calculations using density functional theory (DFT) and Monte Carlo (MC) simulations. The results showed that GS acts as a good anodic corrosion inhibitor and exhibits an inhibition efficiency of 91.2 ΔG^∘_ads ) of ‒19.08 kJ mol–1, suggesting spontaneous physical adsorption. SEM surface morphology analysis confirmed the formation of a uniform protective layer in the presence of GS, along with a reduction in surface degradation compared to uninhibited surface. Theoretical study highlighted a strong correlation between the electronic properties of GS and its inhibition behavior, as predicted by frontier molecular orbital analysis and adsorption energy calculation, which were consistent with the experimental data. This study demonstrates that GS is an efficient and low-cost corrosion inhibitor, offering significant potential for protection of stainless steel in acidic environments.
Ordinary Portland Cement (OPC) concrete suffers severe degradation at high temperatures, and its production carries a significant carbon footprint, necessitating sustainable, fire-resilient alternatives. This study evaluates an Alkali-Activated Concrete (AAC) system based on Fly Ash (FA) and Ground Granulated Blast Furnace Slag (GGBFS), where Waste Glass Powder (WGP) was systematically investigated as a precursor replacement. Key variables included a 25
In the near future, fossil fuel reserves are expected to become progressively depleted. In response, contemporary research efforts worldwide are intensifying the exploration of renewable energy integration into electrical power systems, driven by both environmental imperatives and economic rationale. The principal contribution of the proposed research lies in the development of a scheduling framework for thermal units in coordination with hydro and wind energy sources (HTWS), aimed at minimizing fuel consumption and enhancing economic power generation. A secondary contribution involves the integration of battery energy storage systems (BES) into the HTWS configuration - resulting in the hybrid HTWBS system - to improve voltage stability and optimize economic power delivery under dynamically varying load conditions. Finally, the optimal power flow (OPF) analysis of the hydro-thermal-wind-battery scheduling (HTWBS) within the IEEE-39 bus system is conducted to ensure the most efficient operational outcomes of the integrated power network while reliably meeting load demand. The system's complexity is significantly heightened by non-linear factors such as valve-point loading in thermal units, transmission losses, water availability constraints in hydro units, wind power uncertainties, and the dynamic charging-discharging behavior of batteries. These non-linearities introduce challenges like local optima and slow convergence in scheduling processes, which can be effectively addressed using a relatively recent optimization approach known as the chaotic-opposition-based sine cosine algorithm (COSCA). Through statistical analysis using the ANOVA test and Box plot across three systems, the proposed approach demonstrated minimal variance in mean values and achieved optimal cost outcomes within a tolerance of less than 0.025%, thereby validating its robustness. By effectively reducing generation costs and enhancing the voltage profile, COSCA surpasses alternative optimization strategies, with comparative analysis confirming its superior performance across both test systems.
