Article
Materials Science, Multidisciplinary
Heng Samneang, Laveet Kumar, Amad Zafar, Muhammad Umair Ali, Taiba Zahid, Saira Bibi, Muhammad Shakeel Ahmad, Usman Ghafoor, Jeyraj Selvaraj
Summary: This study investigates the impact of particle size and concentration of TiO2 nanoparticles in black paint on the solar still absorber surface temperature. The introduction of TiO2 nanoparticles increases the surface temperature, with larger particle sizes contributing to higher temperatures. The increase in temperature is attributed to high UV absorption and improved light-scattering ability with larger particle sizes.
FRONTIERS IN MATERIALS
(2021)
Article
Construction & Building Technology
Huangjuan Liu, Fajun Wang, Sheng Lei, Junfei Ou, Wen Li
Summary: In this study, a colorful superhydrophobic coating with high solar reflectivity was successfully prepared, exhibiting excellent resistance to pollution and corrosion, while meeting the building energy saving standards to significantly reduce energy consumption in summer.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Green & Sustainable Science & Technology
Nidal H. Abu-Hamdeh, Mashhour A. Alazwari, Elias M. Salilih, S. Mohammad Sajadi, Arash Karimipour
Summary: In this study, a composite of Titanium Dioxide and Silicon Dioxide was created and dispersed in water to form a nanofluid that was used in a Flat-plate Solar collector. The research showed promising trends in thermal conductivity and efficiency enhancement of the TiO2/SiO2 nanofluid in energy systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Construction & Building Technology
C. Dias, R. C. Veloso, J. Maia, N. M. M. Ramos, J. Ventura
Summary: Passive cooling of buildings can be achieved by enhancing the reflectance of coatings under sunlight. Embedding nanoparticles in coatings can significantly improve their reflectance, providing potential applications in temperature regulation.
ENERGY AND BUILDINGS
(2022)
Article
Chemistry, Physical
Jenny Hui Foong Chau, Chin Wei Lai, Bey Fen Leo, Joon Ching Juan, Mohd Rafie Johan
Summary: In this study, a solar responsive composite material was successfully synthesized, showing a significant improvement in the photodegradation efficiency of acetaminophen (ATM), reaching 92.50%. The composite material exhibited high reusability.
CATALYSIS COMMUNICATIONS
(2022)
Article
Green & Sustainable Science & Technology
H. Fayaz, Sayfar Rasachak, Muhammad Shakeel Ahmad, Laveet Kumar, Bo Zhang, JeyrajSelvaraj, M. A. Mujtaba, Manzoore Elahi M. Soudagar, Ravinder Kumar, Mohammad Rasoul Omidvar
Summary: Solar distillation using solar stills is a feasible and environmentally friendly method to provide fresh water in arid and remote areas. This study investigates the use of metallic titanium particles to enhance the productivity of solar stills by increasing the surface temperature of the absorber. The results show that adding titanium particles to black paint increases the temperature and distillate production, with the highest temperature recorded for the 7 wt% titanium specimen.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Multidisciplinary Sciences
Jun Peng, Felipe Kremer, Daniel Walter, Yiliang Wu, Yi Ji, Jin Xiang, Wenzhu Liu, The Duong, Heping Shen, Teng Lu, Frank Brink, Dingyong Zhong, Li Li, Olivier Lee Cheong Lem, Yun Liu, Klaus J. Weber, Thomas P. White, Kylie R. Catchpole
Summary: Perovskite solar cells are at the forefront of emerging photovoltaic technologies due to their rapid development in efficiency and stability. This study introduces a reverse-doping process to fabricate nitrogen-doped titanium oxide electron transport layers, which significantly improves the charge transport performance and fill factor of the cells.
Review
Nanoscience & Nanotechnology
Asmae Yadfout, Yousra Asri, Nadia Merzouk, Anissa Regragui
Summary: This systematic review evaluated the effect of titanium dioxide nanoparticle coating on the surface condition of removable acrylic resin prosthetic base materials. The results showed that the coating improved antimicrobial activity, wear resistance, glossiness, and lifespan of the denture. Further studies are needed to determine the optimal coating thickness and nanoparticle concentration for clinical applications.
INTERNATIONAL JOURNAL OF NANOMEDICINE
(2023)
Article
Energy & Fuels
Gokce Kahvecioglu, David P. Morton, Michael J. Wagner
Summary: The study found that using real-time conditional point forecasts of DNI and prices, as well as updating every 6 hours, can significantly improve the annual revenue of concentrating solar power systems, increasing by 4%-12% and 6%-19% respectively; in addition, considering the terminal inventory in the optimization model also helps increase annual revenue.
Article
Thermodynamics
Fei Jin, Chao Xu, Jiaxin Xing, Xin Li, Xin Xia, Zhirong Liao
Summary: This study proposes titanium dioxide-based isothermal methanothermal and carbothermal redox cycles as efficient methods for solar fuel production and evaluates them thermodynamically. The results suggest that these cycles have the potential to become competitive routes for solar fuel production.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Simon Caron, Jorge Garrido, Jesus Ballestrin, Florian Sutter, Marc Roger, Francisco Manzano-Agugliaro
Summary: This review analyzes opto-thermal figures of merit to compare solar thermal absorber coatings, focusing on the trade-off between selectivity, solar absorptance, and thermal emittance. New figures of merit are introduced and adapted for Concentrated Solar Power applications, providing insights for detailed characterization and comparison of coating performance.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Polymer Science
Xun Hui Wu, Yoon Yee Then
Summary: This study presents a facile and cost-effective method for fabricating superhydrophobic surfaces using graphene and titanium dioxide nanoparticles. The graphene/TiO2-coated surfaces on a biodegradable thermoplastic poly(lactic acid) substrate achieved excellent water-repellent properties, making them suitable for reducing hazardous complications in medical devices. The durability and effectiveness of the superhydrophobic coating further suggest its potential in biomaterial manufacturing.
Article
Chemistry, Physical
Xiaoyi Zhan, Zheng Peng, Hao Huang, Hui Zhang, Zhao Liu, Xin Ou, Fan Yang, Zhi Liu
Summary: By employing low-energy Ar+ irradiation to modify the surface oxygen vacancy density of TiO2 and investigating its interaction with water using APXPS, key factors in tuning the photoelectrochemical performance of TiO2 have been revealed.
APPLIED SURFACE SCIENCE
(2021)
Article
Materials Science, Ceramics
Cundong Wang, Jincheng Guo, Huabing Yu, Han Lei, Zhen Wang, Min Zhao, Jindao Li, Xia Li
Summary: The superhydrophobic coating prepared by hydrothermal method exhibited excellent water-repellent properties, allowing water droplets to roll freely on the surface and demonstrating strong self-cleaning effects.
CERAMICS INTERNATIONAL
(2021)
Article
Materials Science, Ceramics
Oyku Icin, Cekdar Vakifahmetoglu
Summary: Coating PDC nanobeads with titania and subsequent photodegradation under UV can significantly enhance the dye removal efficiency, reaching up to 97%. High regeneration efficiencies above 92% are observed for titania-coated nanobeads even after the third cycle of reuse.
CERAMICS INTERNATIONAL
(2021)
Article
Energy & Fuels
Lin Chen, Yongchang Feng, Junnosuke Okajima, Atsuki Komiya, Shigenao Maruyama
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2018)
Article
Thermodynamics
Yongchang Feng, Lin Chen, Anna Suzuki, Takuma Kogawa, Junnosuke Okajima, Atsuki Komiya, Shigenao Maruyama
Article
Physics, Applied
Ryo Kumagai, Seiji Kanazawa, Kiyonobu Ohtani, Atsuki Komiya, Toshiro Kaneko, Tomoki Nakajima, Takehiko Sato
JOURNAL OF APPLIED PHYSICS
(2018)
Article
Optics
Eita Shoji, Atsuki Komiya, Junnosuke Okajima, Masaki Kubo, Takao Tsukada
OPTICS AND LASERS IN ENGINEERING
(2019)
Article
Thermodynamics
Yongchang Feng, Lin Chen, Anna Suzuki, Takuma Kogawa, Junnosuke Okajima, Atsuki Komiya, Shigenao Maruyama
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Health Care Sciences & Services
Kaihong Yu, Tetsui Yamashita, Shigeaki Shingyochi, Kazuo Matsumoto, Atsuki Komiya, Makoto Ohta
TECHNOLOGY AND HEALTH CARE
(2019)
Article
Thermodynamics
Takuma Kogawa, Eita Shoji, Junnosuke Okajima, Atsuki Komiya, Shigenao Maruyama
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2019)
Article
Geosciences, Multidisciplinary
Yongchang Feng, Lin Chen, Anna Suzuki, Takuma Kogawa, Junnosuke Okajima, Atsuki Komiya, Shigenao Maruyama
MARINE AND PETROLEUM GEOLOGY
(2019)
Article
Optics
Hani Alkitabi Aldaftari, Junnosuke Okajima, Atsuki Komiya, Shigenao Maruyama
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2019)
Article
Thermodynamics
Yuki Kanda, Hiroyuki Komatsu, Junnosuke Okajima, Shigenao Maruyama, Atsuki Komiya
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2020)
Article
Physics, Applied
Gael Sebald, Atsuki Komiya, Jacques Jay, Gildas Coativy, Laurent Lebrun
JOURNAL OF APPLIED PHYSICS
(2020)
Article
Mechanics
Yuki Kanda, Junnosuke Okajima, Shigenao Maruyama, Atsuki Komiya
Article
Thermodynamics
Yusuke Nishimura, Junnosuke Okajima, Takuya Oouchi, Atsuki Komiya
JOURNAL OF THERMAL SCIENCE AND TECHNOLOGY
(2020)
Proceedings Paper
Engineering, Mechanical
Tomohiro Hirano, Mitsuo Yoshimura, Koji Shimoyama, Atsuki Komiya
PROCEEDINGS OF THE ASME/JSME/KSME JOINT FLUIDS ENGINEERING CONFERENCE, 2019, VOL 2
(2019)
Article
Mechanics
Tomohiro Hirano, Mitsuo Yoshimura, Koji Shimoyama, Atsuki Komiya
JOURNAL OF FLUID SCIENCE AND TECHNOLOGY
(2019)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
