Advancements in Photovoltaic Cell Materials: Silicon, Organic, and Perovskite Solar Cells

Опубликована: Янв. 31, 2024

The evolution of photovoltaic cells is intrinsically linked to advancements in the materials from which they are fabricated. This review paper provides an in-depth analysis latest developments silicon-based, organic, and perovskite solar cells, at forefront research. We scrutinize unique characteristics, advantages, limitations each material class, emphasizing their contributions efficiency, stability, commercial viability. Silicon-based explored for enduring relevance recent innovations crystalline structures. Organic examined flexibility potential low-cost production, while perovskites highlighted remarkable efficiency gains ease fabrication. also addresses challenges scalability, environmental impact, offering a balanced perspective on current state future these technologies.

Язык: Английский

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Review of Challenges and Key Enablers in Energy Systems towards Net Zero Target: Renewables, Storage, Buildings, & Grid Technologies.

Heliyon, Год журнала: 2024, Номер 10(23), С. e40691 - e40691

Опубликована: Ноя. 26, 2024

Язык: Английский

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Machine learning-assisted evaluation of PVSOL software using a real-time rooftop PV system: a case study in Kocaeli, Turkey, with a focus on diffuse solar radiation

International Journal of Low-Carbon Technologies, Год журнала: 2025, Номер 20, С. 223 - 233

Опубликована: Янв. 1, 2025

Abstract Reducing energy-related CO2 emissions is vital for global climate targets, with Net Zero Energy Buildings (NZEBs) playing a key role. This study evaluates PVSOL software’s accuracy in simulating rooftop photovoltaic (PV) system an NZEB Kocaeli, Turkey. A machine learning model enhanced result reliability using local weather data. The system’s first-year performance ratio was 81.9%, close to the theoretical 84.53%. 435 600 USD investment expected be recovered 11.42 years, while predicts 14.9 years. findings confirm PVSOL’s PV systems, emphasizing their effectiveness reduction and energy transition efforts.

Язык: Английский

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Optimizing Domestic Energy Management with a Wild Mice Colony-Inspired Algorithm: Enhancing Efficiency and Coordination in Smart Grids through Dynamic Distributed Energy Storage

Heliyon, Год журнала: 2024, Номер 10(16), С. e35462 - e35462

Опубликована: Июль 31, 2024

Energy management (EM) is a critical strategy that spans the production and consumption of electricity, enhancing stability electricity network. Smart grid technology significantly improves electrical system's energy efficiency (EE), facilitating transformation from conventional power (PG) to smart PG. This paper presents key for modeling EE tailored domestic demand, establishing coordination between production, storage reduce waste costs. Our model integrates various sources, including renewable (RE), photovoltaic (PV) systems, wind power, an system (ESS), interconnected with The model's structure ensures coordinated flow in residential house through optimal control method (OCM). To develop robust closed-loop model, we employ Demand Response (DR) schemes within Real-Time Electricity Pricing (RTEP) framework. We construct dynamic ESS compute System Performance Index (SPI), corresponding enhance our introduce Dynamic Distributed Storage Strategy (DDESS). Additionally, novel optimization algorithm inspired by behavioral patterns wild mice, called Wild Mice Colony (WMC). By analyzing targeted advantageous behaviors mice colonies, propose these can serve as addressing complex, uncertain problems. highly advantageous, capable reducing total (EC) main over 100 % load optimizing system, ensuring synchronization. performance DDESS optimizes (EF) during repayment plan, leading minimized EC costs

Язык: Английский

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The role of energy management technologies for cyber resilient smart homes in sustainable urban development

Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101602 - 101602

Опубликована: Ноя. 1, 2024

Язык: Английский

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