Article
Chemistry, Analytical
Henrik Zsiboracs, Gabor Pinter, Andras Vincze, Nora Hegedusne Baranyai
Summary: This paper introduces a new active sensor-tracking algorithm for photovoltaic systems, which aims to solve the issues of traditional solutions and has been tested and patented. Based on the concepts of periodic movement and almost horizontal positioning, this system extends system lifetime, enhances resistance to storm damages, and achieves sun tracking practically without decreasing power compared to the focal point position.
Article
Green & Sustainable Science & Technology
Ayman Al-Quraan, Mohammed Al-Mahmodi, Khaled Alzaareer, Claude El-Bayeh, Ursula Eicker
Summary: This paper discusses the impact of inter-row shading on energy output in photovoltaic facilities and proposes a methodology to determine the optimal inter-row spacing. Two case studies with different terrains are used to provide examples of applications on both flat and non-flat surfaces.
Article
Energy & Fuels
Raghed Melhem, Yomna Shaker
Summary: This article focuses on optimizing the tilt angle of solar panels in the GCC countries. By using a mathematical model and comparing it with the PVWatts calculator, the study calculates the optimal tilt angle based on latitude and longitude. The importance of choosing the right tilt angle for maximizing solar energy production is emphasized. The results show that changing the tilt angle 12 times a year can increase power output by 10.9%. The study highlights the importance of selecting the optimal tilt angle and provides valuable data for the GCC countries.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Energy & Fuels
Essa Alhamer, Addison Grigsby, Rydge Mulford
Summary: This study calculates the optimal tilt angle of PV panels for each county in the United States and compares it with the practice of setting the tilt angle equivalent to the latitude angle of the location. The research finds that most counties have a difference between the optimal tilt angle and the location latitude, and it is influenced by daylight hours, seasonal cloud cover, and ambient temperature.
Article
Energy & Fuels
A. Barbon, C. Bayon-Cueli, L. Bayon, C. Rodriguez-Suanzes
Summary: This paper discusses the impact of tilt angle and orientation on the energy generation capacity of photovoltaic systems, suggesting the optimal tilt angle to minimize energy loss and presenting an optimization algorithm to deploy photovoltaic modules for maximizing solar power generation. The results demonstrate that the choice of tilt angle can significantly enhance the energy generation capacity of solar photovoltaic systems.
Article
Thermodynamics
Waqas Ahmed, Jamil Ahmed Sheikh, Salman Ahmad, Shahjadi Hisan Farjana, M. A. Parvez Mahmud
Summary: This paper explores the impact of accuracy of orientation angles on the potential of greenhouse gas mitigation in photovoltaic systems. It demonstrates that precise orientation can increase the output of PV systems and reduce greenhouse gas emissions. Adjusting the orientation angles of PV systems has the potential to avoid significant greenhouse gas emissions without additional costs.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Yi Jiang, Mingyun Lv, Kangwen Sun
Summary: This paper investigates the impact of the installation angle of PV cells on the energy performance of airships during cruise flight. An energy model is established, and numerical simulations are conducted to discuss the flight conditions of airships. The results show that PV cells output more total energy at smaller installation angles, providing guidance for the design of photovoltaic arrays and improving power output.
Article
Energy & Fuels
Zu-Sheng Huang, Chaojie Shen, Lanlan Fan, Xiaoxia Ye, Xiangchao Shi, Huaqiong Li, Yijia Zhang, Yuekun Lai, Yun-Yun Quan
Summary: This study investigated the effects of surface roughness and surface energy on reducing dust adhesion on PV panels by preparing coatings with different wettability. It was found that the high surface energy of superhydrophilic coatings played a significant role in resisting dust adhesion, while further reducing surface energy on other coatings had limited impact on improving dust-proof ability. Additionally, large airflow velocity was beneficial for resisting dust adhesion for all types of coatings, but had limited effect on improving the anti-soiling effect of superhydrophilic coating under different tilt angles compared to other three coatings.
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2021)
Article
Energy & Fuels
Loiy Al-Ghussain, Onur Taylan, Mohammad Abujubbeh, Muhammed A. Hassan
Summary: To address the increasing installation capacities of solar PV systems in desert areas, this study examines the impacts of ambient temperature, wind speed, dust accumulation, and cleaning frequency on energy production and optimal angles of PV panels. Results show higher energy production estimates using an isotropic model, and the cooling effect of wind speed reduces the operating temperature of thin-film panels. Cleaning the panels bi-monthly decreases annual energy production, and doubling the dust accumulation rate decreases energy production for all cases. The optimal tilt and azimuth angles vary within -3.0 degrees with dust accumulation rate.
Article
Thermodynamics
Shuang-Ying Wu, Shu-Zhen Duan, Lan Xiao
Summary: This study numerically investigates the influence of the vertical position of the linear Fresnel concentrating photovoltaic (CPV) system on the thermal, electrical, and structural characteristics of the PV panel under natural convection conditions. The results show that the concentrator position has little effect on the flow and temperature fields, but has a significant impact on the thermal and structural characteristics of the PV panel.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Muhammad Tamoor, Salman Habib, Abdul Rauf Bhatti, Arslan Dawood Butt, Ahmed Bilal Awan, Emad M. Ahmed
Summary: The focus of this research is to design a ground-mounted photovoltaic system with optimal tilt angle and interrow space to meet high demand of electrical energy. The simulation results suggest that the system installed at 15 degrees tilt angle with 4 feet interrow spacing is the most efficient.
Article
Chemistry, Physical
Hicham Bouzakri, Ahmed Abbou, Khalil Tijani, Zakaria Abousserhane
Summary: This study presents a model of a biaxial solar tracker utilizing the equatorial mount principle, allowing precise solar tracking via a single axis while minimizing energy consumption. Experimental results demonstrate that the model receives maximum solar irradiation and achieves up to 63.47% solar irradiation gain compared to fixed installations.
INTERNATIONAL JOURNAL OF PHOTOENERGY
(2021)
Article
Green & Sustainable Science & Technology
Khaled S. Alzahrani
Summary: This study examines the effects of dust, sand grains, and soiling on the efficiency of PV modules in industrial cities and arid coastal regions. The results show that PV modules with higher solar radiation absorption have lower resistance to soiling. Clean modules perform better than soiled modules. Additionally, modules installed at a greater tilt angle of 24 degrees have lower power losses.
Article
Environmental Sciences
Dounia Dahlioui, Bouchra Laarabi, Lassana Traore, Samira Belihi, Abdelfettah Barhdadi
Summary: Soiling plays a crucial role in countries with high pollution levels, dust storms, water scarcity, and high solar energy potential like Morocco. Reduction of soiling is particularly important during spring and summer. This study conducted systematic measurements of soiling ratio in Rabat, Morocco over almost a year, comparing the effect of dual-axis tracking for photovoltaic (PV) systems to fixed structures. The study also proposed a novel approach using dew water for cleaning. The results showed that relying on the change of tilt angle alone can significantly reduce soiling losses.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Energy & Fuels
Adam R. Jensen, Ioannis Sifnaios, Simon Furbo, Janne Dragsted
Summary: In this paper, an open source method for calculating self-shading in fields of two-axis tracking solar collectors of arbitrary geometry was developed and validated. The impact of latitude and collector aperture shape on annual shading loss was investigated.
Article
Computer Science, Information Systems
Joe-Air Jiang, Jen-Cheng Wang, Hung-Shuo Wu, Chien-Hsing Lee, Cheng-Ying Chou, Li-Cheng Wu, Yu-Cheng Yang
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Multidisciplinary Sciences
Chia-Chun Hung, Yi-Hsuan Liu, Chu-Chung Huang, Cheng-Ying Chou, Chun-Ming Chen, Jeng-Ren Duann, Chiang-Shan R. Li, Tony Szu-Hsien Lee, Ching-Po Lin
SCIENTIFIC REPORTS
(2020)
Article
Computer Science, Information Systems
Joe-Air Jiang, Jen-Cheng Wang, Chao-Liang Hsieh, Kai-Sheng Tseng, Zheng-Wei Ye, Lin-Kuei Su, Chih-Hong Sun, Tzai-Hung Wen, Jehn-Yih Juang
Summary: The study proposes a body temperature monitoring system with thermography based on the IoT architecture to quickly isolate suspected cases and control epidemics. Data is transmitted to a back-end platform via wireless communication for analysis and services such as anomaly alerts, disease outbreak prediction, and risk assessment. The system shows high accuracy in measuring body temperature and can be expanded to support decision-making for schools or government agencies in stopping the spread of infectious diseases.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Multidisciplinary Sciences
Yu-Fang Hsieh, Chih-Kuo Lee, Weichung Wang, Yu-Cheng Huang, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou
Summary: This study focuses on utilizing a territory-based patient-specific approach derived from CCTA to estimate FFR and WSS for coronary arteries. The non-invasive simulation aids in diagnosing coronary stenosis significance and myocardial ischemia probability. By simulating fluid dynamics, mass flow rate estimation and FFR/WSS derivation can be achieved. The territory-based method shows high accuracy, sensitivity, and specificity in distinguishing between significant and non-significant stenosis.
SCIENTIFIC REPORTS
(2021)
Article
Agriculture, Multidisciplinary
Joe-Air Jiang, Chih-Hao Syue, Chien-Hao Wang, Min-Sheng Liao, Jiann-Shing Shieh, Jen-Cheng Wang
Summary: Traditional pest control methods may not be effective due to the lack of scientific information. This study proposes a fuzzy logic system with short-term data to forecast the population dynamics of the oriental fruit fly and the tobacco cutworm, and develops corresponding forecasting models.
PRECISION AGRICULTURE
(2022)
Article
Environmental Sciences
Chen Yi-Ron, Hou Wen-Shang, Huang Chen-Kang, Chou Chu-Yang
Summary: Reservoirs are artificial ecosystems that affect nearby hydrological and environmental components. Long-term monitoring of fish assemblages in reservoirs is important for understanding fish population fluctuations and developing conservation strategies. A study of the Feitsui Reservoir over 14 years showed that fish assemblages differed between cold and warm seasons, with higher algal counts in the warm season. Before and after 2010, there was partial overlap in fish assemblages, indicating some impact of nonnative fish species on native fish composition.
Article
Computer Science, Information Systems
Joe-Air Jiang, Huan-Chieh Chiu, Yu-Cheng Yang, Jen-Cheng Wang, Chien-Hsing Lee, Cheng-Ying Chou
Summary: An IoT-based sag-monitoring system is proposed in this study, which is capable of real-time detection of line sags. Long-term field testing has verified the effectiveness of the system. Compared to other sag measuring methods, the proposed system offers high measurement accuracy and wide field implementation.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mythra Varun Nemallapudi, Atiq Rahman, Augustine Ei-Fong Chen, Shih-Chang Lee, Chih-Hsun Lin, Ming-Lee Chu, Chen-Ying Chou
Summary: Proton therapy is widely used for cancer treatment due to its precise dose deposition capability, but the proton range uncertainty remains a challenge. This study measured the depth distribution of positron emitters from a PMMA sample irradiated with protons and assessed the timing capabilities of the system.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Huanyi Zhou, Stanley Reeves, Cheng-Ying Chou, Andrew Brannen, Peter Panizzi
Summary: In this study, a constrained two-step online geometry calibration algorithm was developed to calibrate an integrated X-ray imaging system for small animals. The algorithm was validated through experiments on phantom and mouse imaging data.
Article
Engineering, Biomedical
Atiq Ur Rahman, Mythra Varun Nemallapudi, Cheng-Ying Chou, Chih-Hsun Lin, Shih-Chang Lee
Summary: The study utilized deep learning methods to map detector data directly to intrinsic dose distributions, with relative errors and uncertainties within acceptable ranges. This approach has the potential for broad application in particle therapy and may be extended to other areas of medical imaging in the future.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Cheng-Ying Chou, Shan-Cheng Chang, Zi-Ping Zhong, Ming- Chi Guo, Ming-Hsien Hsieh, Jui- Chu Peng, Ling- Chieh Tai, Ping-Liang Chung, Jen- Cheng Wang, Joe-Air Jiang
Summary: This study developed an AIoT system for asparagus growth and pest monitoring, providing guidelines for farmers and preventing outbreaks of pests and diseases. The system uses IoT and AI sensors to track environmental changes and pest populations, and a deep learning model for accurate detection and counting of pests.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Computer Science, Artificial Intelligence
Yiuwai Ng, Min-Tsun Liao, Ting-Li Chen, Chih-Kuo Lee, Cheng-Ying Chou, Weichung Wang
Summary: The proliferation of wearable devices has made it easier to collect electrocardiogram recordings and accurately identify atrial fibrillation using deep learning models. However, training personalized models with sufficient labeled data for individual patients is impractical. In this study, the researchers proposed a Siamese-network-based transfer learning approach to address this issue and achieved high accuracy in detecting atrial fibrillation.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2023)
Article
Environmental Sciences
Yi-Shin Chou, Cheng-Ying Chou
Summary: This study proposes an efficient and accurate method for detecting and mapping paddy fields in Taiwan using aerial images and remote sensing technology. By determining the optimal band combinations and vegetation index and employing an instance segmentation model, the study successfully detects paddy fields at different phenological stages. The results of this study are significant for agricultural production management and land use survey.
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
