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Enhancing Solar Cell Performance: The Impact of Microstructure in Nanostructured Perovskites Kumar, Swarup; Neidhe, Md Musfiqur Rahman; Ahmed, Faisal; Hasan, Md Mehedi
Control Systems and Optimization Letters Vol 3, No 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i1.136

Abstract

A revolutionary development in solar cell technology, nanostructured perovskites have the potential to greatly improve stability and power conversion efficiency (PCE). The contribution of microstructure, including defect passivation, surface morphology, crystallinity, and grain size, to perovskite solar cell (PSC) performance optimization is evaluated in this paper. Through nanoscale optimization of these microstructural characteristics, scientists may enhance light absorption, minimize recombination losses, and optimize charge transfer, all of which contribute to increased efficiency. More versatility in bandgap engineering for a range of applications is made possible by the distinct optoelectronic properties of perovskites in conjunction with the benefits of nanostructuring. The endurance of nanostructured perovskites under environmental pressures and the scalability of production techniques are two issues that persist despite these developments. It is essential to overcome these obstacles in order to commercialize PSCs. Potential future developments for lead-free perovskite substitutes and the incorporation of nanostructured materials into hybrid solar systems are also examined in this study. Key results, ramifications, and opportunities for future advancements in nanostructured perovskites for solar energy technology are highlighted in this study, which summarizes the present status of research in this area. The review process aims to summarize current developments in the area and pinpoint the crucial problems that need to be resolved for wider acceptance.
Nanomaterials in Industry: A Review of Emerging Applications and Development Kumar, Swarup; Khan, Saidul Islam; Neidhe, Md Musfiqur Rahman; Islam, Monirul; Hasan, Md Mehedi
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.135

Abstract

Nanomaterials are materials where at least one dimension is smaller than 100 nanometers, unlocking a realm of extraordinary properties that set them apart from their bulk counterparts. These materials exhibit unique behaviors, such as enhanced electrical conductivity, superior mechanical strength, and heightened chemical reactivity. Due to these qualities, they are widely used in sectors like as electronics, healthcare, energy, and environmental preservation. Nanomaterials have made it possible for electronics to get smaller, and they have enhanced medication delivery and diagnostics in the medical field. They are perfect for energy conversion and storage technologies like solar cells and batteries because of their large surface area and conductivity. Furthermore, the use of nanoparticles in sustainable agriculture and environmental remediation is being investigated. Nevertheless, there are still difficulties in meeting regulatory requirements, guaranteeing safety, and increasing output. This paper looks at the many uses for nanomaterials, emphasizes their promise, and discusses the obstacles preventing a wider industrial acceptance of them.
Techno-Economic Assessment of Hybrid Renewable Micro Grids for Sustainable Rural Electrification Rabbany, Golam; Kumar, Swarup; Dhar, Uniwan-E-mi; Islam, Md Shoriful; Sarker, Md Tousiat
Control Systems and Optimization Letters Vol 4, No 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i1.267

Abstract

This paper presents a stochastic and climate-informed techno-economic optimization framework for the optimal design of off-grid hybrid renewable energy micro grids aimed at sustainable rural electrification. The proposed system integrates solar photovoltaic (PV) generation, wind turbines, battery energy storage systems (BESS), and a diesel generator as backup to ensure reliable electricity supply under uncertain demand and variable renewable resources. Monte Carlo–based stochastic load modeling and climate-adjusted renewable resource assessment are employed to capture site-specific operating conditions. System sizing and operation are optimized using a multi-objective cost minimization approach targeting the Levelized Cost of Energy (LCOE) and Net Present Cost (NPC), subject to predefined reliability and operational constraints, including a Loss of Power Supply Probability (LPSP ≤ 5%). Simulation results demonstrate that the optimized hybrid microgrid configuration reduces the LCOE by approximately 18–25% and diesel fuel consumption by over 40% compared to conventional deterministic designs, while achieving a renewable energy penetration exceeding 85%. In addition, the proposed framework leads to an estimated reduction in CO₂ emissions of about 45%, enhancing long-term environmental sustainability. These findings confirm that incorporating stochastic demand representation and climate-aware resource evaluation significantly improves the economic viability, reliability, and affordability of hybrid renewable microgrids for electrifying remote rural communities.