Article
Computer Science, Information Systems
Teresa Zayas-Caban, Kevin J. Chaney, Courtney C. Rogers, Joshua C. Denny, P. Jon White
Summary: Precision medicine has the potential to revolutionize healthcare by tailoring treatments to individual needs, but its advancement requires extensive research and data. The development of health information technology is crucial for the widespread adoption of precision medicine, and addressing various issues is essential for its success. The Office of the National Coordinator for Health Information Technology plays a key role in leading efforts to improve health IT and promote the vision of precision medicine.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Engineering, Chemical
Sirish L. Shah, Bhavik R. Bakshi, Jinfeng Liu, Christos Georgakis, Benoit Chachuat, Richard D. Braatz, Brent R. Young
Summary: This white paper discusses open problems in the field of water resources, including the role of ecosystems, interactions between water resources and other resources, challenges in modeling, sensing and closed-loop control in precision irrigation, and the development of decision support systems.
Article
Energy & Fuels
Sahban W. Alnaser, Sereen Z. Althaher, Chao Long, Yue Zhou, Jianzhong Wu, Reem Hamdan
Summary: Transitioning towards low-carbon energy systems requires increasing residential Photovoltaic (PV) contribution through PV self-consumption, which can be supported by adopting PV self-consumption policies and incorporating batteries. However, it is crucial to assess and mitigate the technical impacts of PV policies on distribution networks. Implementing a two-stage planning framework that optimizes PV and battery sizes, and evaluates impacts on distribution networks through Monte-Carlo simulations, is essential for achieving sustainable energy goals.
Article
Hospitality, Leisure, Sport & Tourism
Tomas Pernecky
Summary: This paper argues that relational ontology is crucial for understanding the complexities of tourism, disclosing pluriversality and facilitating relational understandings that promote human flourishing.
CURRENT ISSUES IN TOURISM
(2023)
Review
Geriatrics & Gerontology
Jessica Bartoszko, Mark Loeb
Summary: Influenza is an acute respiratory infection that can be prevented through vaccination. Despite older adults having the highest burden of influenza infection, vaccine effectiveness is lowest in this population due to immune senescence. Possible strategies to tackle this issue include adjuvant and high-dose vaccines, as well as increasing vaccine uptake to induce herd immunity.
AGING CLINICAL AND EXPERIMENTAL RESEARCH
(2021)
Review
Chemistry, Multidisciplinary
Liang Lin, Chengkun Zhang, Youzhang Huang, Yangping Zhuang, Mengjian Fan, Jie Lin, Laisen Wang, Qingshui Xie, Dong-Liang Peng
Summary: Metal-sulfur batteries, including sodium-sulfur (Na-S) and lithium-sulfur (Li-S) batteries, have the potential to become next-generation rechargeable batteries. Na-S batteries are more feasible for long-term development in terms of technoeconomics and geopolitics than Li-S batteries. Although Na-S systems draw inspiration from the more mature Li-S systems, the microscopic differences between the two systems present unique challenges. This review discusses these challenges and reviews strategies for Na-S batteries, providing important insights for accelerating the development of Na-S batteries based on their dissimilarities.
Review
Materials Science, Multidisciplinary
Nan Wang, Xuan Qu, Jie Xu, Jianhang Huang, Yongjie Cao, Yonggang Wang
Summary: This review highlights the research progress on zinc batteries (ZBs), focusing on the storage mechanisms of Zn2+ in cathode materials and the challenges they face in different electrolytes. Future research guidelines are proposed, including the development of mixed solvent electrolytes, layered inorganic materials, adjustments to material surface properties, and the design of stable open frame organic materials.
ACS MATERIALS LETTERS
(2022)
Article
Political Science
David J. Hunter, Rafael Bengoa
Summary: Transforming health systems is a complex task, and the key to success lies in creating a receptive context for change. This paper draws on case studies from three European countries to identify factors that contribute to successful implementation.
POLICY AND SOCIETY
(2023)
Article
Engineering, Multidisciplinary
Alejandro Gonzalez-Moreno, Javier Marcos, Inigo de la Parra, Luis Marroyo
Summary: This work emphasizes the significance of selecting appropriate control parameters to avoid unnecessary cycling in batteries during PV smoothing. The study analyzes the classic ramp-rate control method (CRRC) as a smoothing technique, with a focus on the role of state of charge (SOC) control and the influence of proportional gain ($K$). The findings suggest that proper tuning can significantly prolong battery lifespan by reducing cycling degradation and preventing undesirable SOC operation levels, leading to reduced energy losses and power requirements. Additionally, a simple general rule is proposed to determine the value of $K$ when utilizing CRRC.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Yinghua Jiang, Lixia Kang, Yongzhong Liu
Summary: This work investigates the complementary characteristics of various PV arrays and batteries, proposing a coordinated optimization approach to achieve the minimum total cost of a PV-battery system with multi-type PV arrays and batteries. A case study demonstrates that utilizing multiple PV arrays and batteries can improve the system's economy, stability, and curtailment rate.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Instruments & Instrumentation
J. Schnabel, P. Kalaczynski, C. Bozza, T. Gal
Summary: The KM3NeT detectors will generate valuable data in the coming decades for a wide range of scientific fields, promoted by the Collaboration's Open Science policy. Efforts are currently underway to facilitate data sharing, common analysis methods, and open-source software development. Ongoing projects focus on exchanging high-level data and simulations, as well as creating an integrated computing environment to support an open science workflow.
JOURNAL OF INSTRUMENTATION
(2021)
Article
Plant Sciences
Valerie C. Pence, Emily Beckman Bruns
Summary: The study examines the current knowledge of plant cryopreservation and identifies significant gaps in research on certain families and methods. It suggests future research priorities to effectively conserve exceptional species.
Review
Chemistry, Multidisciplinary
Xiang Miao, Shundong Guan, Cheng Ma, Liangliang Li, Ce-Wen Nan
Summary: Solid-state batteries (SSBs) are highly promising for the next-generation energy-storage technology due to their high safety, energy density, and wide operating temperature range. This review discusses the interface issues in SSBs, including internal buried interfaces within solid electrolytes and composite electrodes, as well as planar interfaces between electrodes and solid electrolyte separators or current collectors. The challenges and future directions for investigating and optimizing these solid-solid interfaces in SSBs are also assessed.
ADVANCED MATERIALS
(2023)
Article
Green & Sustainable Science & Technology
Fabian Rocha Aponte, Kirsten S. Wiebe, Nikki Luttikhuis
Summary: This paper investigates the role of sustainability factors in the diffusion of solar PV technologies. A combined economic innovation-diffusion model is proposed, and empirical estimation methods are used to analyze the data. The findings indicate that sustainability characteristics, such as cell efficiency, have a positive effect on installed capacity in solar PV technologies. The study also highlights the importance of learning-by-doing activities in reducing the costs of solar PV modules.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Pablo Ayuso, Hector Beltran, Jorge Segarra-Tamarit, Emilio Perez
Summary: This study analyzes the economic profitability of different types of Li-ion batteries in residential solar systems, using actual consumption curves and PV production data. The results show that even when considering only energy arbitrage and peak shaving services, these batteries can provide economic benefits under optimal control.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Energy & Fuels
Claudia Buerhop, Oleksandr Stroyuk, Julian Zoecklein, Tobias Pickel, Jens Hauch, Ian Marius Peters
Summary: The research identified the risk of water ingress in different backsheets and its impact on inverter shutdowns. It found that polyamide-based backsheets demonstrated more stable leakage resistance, while fluorinated coating-based backsheets showed a rapid decline in leakage resistance after 6 years of operation. The study also highlighted the varying effects of humidity and temperature on the behavior of the leakage resistance, indicating potential for more severe problems with longer operating times.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Energy & Fuels
Oleksandr Stroyuk, Claudia Buerhop-Lutz, Andreas Vetter, Johannes Hepp, Jens Hauch, Ian Marius Peters, Christoph J. Brabec
Summary: This study introduces a method for structural identification of PET-based backsheets using NIRA spectroscopy, which is validated through principal component analysis of a database of different types of BSs. The method allows accurate identification of BSs with unknown structures and is feasible for field deployment. Further automation of NIRA measurements and spectral analysis is expected to elevate this tool to a non-intrusive high-throughput analysis of backsheets in operating PV module grids.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Energy & Fuels
Oleksandr Stroyuk, Claudia Buerhop-Lutz, Jens Hauch, Ian Marius Peters
Summary: Solar-NIRT method allows real-time determination of the structure of polymer backsheets for PV modules, identifying different types and degradation states. Principal component analysis can be used to create a cluster map based on spectra, which can be applied for the identification of unknown samples. Solar-NIRT is a fast, non-invasive, selective tool with potential for high-throughput characterization.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Energy & Fuels
Bernd Doll, Karen Forberich, Johannes Hepp, Stefan Langner, Claudia Buerhop-Lutz, Jens A. Hauch, Christoph J. Brabec, Ian Marius Peters
Summary: Energy losses in photovoltaic plants due to soiling are a global issue, and the use of luminescence imaging techniques can help detect and quantify these losses for cleaning and optimization purposes.
IEEE JOURNAL OF PHOTOVOLTAICS
(2022)
Article
Energy & Fuels
Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz, Tobias Pickel, Jens Hauch, Christoph Brabec, Andreas Maier, Ian Marius Peters
Summary: This study frames fault detection in PV modules as an unsupervised domain adaptation problem, training on labeled data of one source PV plant and making predictions on another target plant. By using a ResNet-34 convolutional neural network and a k-nearest neighbor classifier, the method achieves satisfactory detection results.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Energy & Fuels
Lukas Bommes, Claudia Buerhop-Lutz, Tobias Pickel, Jens Hauch, Christoph Brabec, Ian Marius Peters
Summary: To identify abnormal photovoltaic modules in large-scale plants economically, drone-mounted infrared cameras and automated video processing algorithms are frequently used. In this study, the researchers propose a method that uses incremental structure-from-motion to automatically obtain geocoordinates of all PV modules in a plant and extract multiple infrared images of each module. The method successfully maps the majority of the modules in multiple plants and reduces extraction misses compared to previous methods. The researchers also demonstrate the visualization of module temperatures and anomaly predictions using the extracted images. The proposed method improves efficiency and accuracy in identifying abnormal modules.
PROGRESS IN PHOTOVOLTAICS
(2022)
Review
Green & Sustainable Science & Technology
Dazhi Yang, Wenting Wang, Christian A. Gueymard, Tao Hong, Jan Kleissl, Jing Huang, Marc J. Perez, Richard Perez, Jamie M. Bright, Xiang'ao Xia, Dennis van der Meer, Ian Marius Peters
Summary: The ability to forecast solar irradiance is crucial for planning and operating power systems under high solar power generation. The collaboration between atmospheric scientists and power engineers is necessary to increase solar penetration while maintaining grid stability. This review discusses the current state and technical aspects of solar forecasting, as well as potential research topics for atmospheric scientists. A pathway towards high PV penetration and long-term carbon neutrality is also presented.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Claudia Buerhop, Oleksandr Stroyuk, Tobias Pickel, Jens Hauch, Ian Marius Peters
Summary: This study emphasizes the importance of maintaining high insulation resistance in polymer backsheets for the reliable operation of photovoltaic installations. The research shows that the choice of polymers significantly affects the performance and degradation rates of inverters connected to photovoltaic modules. In particular, an increase in water content in the backsheet is a sign of reduced leakage resistance. The study also reveals that certain types of backsheets have a significant impact on ground impedance and the operation of inverters, leading to yield loss.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Energy & Fuels
Claudia Buerhop-Lutz, Tobias Pickel, Oleksandr Stroyuk, Jens Hauch, Ian Marius Peters
Summary: This study created a dataset that links the electrical performance of photovoltaic modules with the identity of the backsheet materials. The analysis reveals that the choice of backsheet material has an impact on the insulation resistance of strings and inverters, and different materials require different maintenance for reliable power yield.
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2022)
Review
Energy & Fuels
Claudia Buerhop, Lukas Bommes, Jan Schlipf, Tobias Pickel, Andreas Fladung, Ian Marius Peters
Summary: This review discusses the method of thermography for detecting underperforming photovoltaic modules in solar power stations and examines the effectiveness of measurement strategies and the relevance of thermal anomalies for photovoltaic stakeholders. The study finds that automated image acquisition can achieve efficient measurements but may compromise image resolution. Image processing tools based on machine learning show potential for analyzing infrared images and classifying defects. However, there is a need for more data and adaptable computer vision tools in the photovoltaic industry. Recommendations are made to improve the outcomes of infrared images and encourage the generation of suitable public datasets for the development of machine learning tools.
PROGRESS IN ENERGY
(2022)
Article
Chemistry, Multidisciplinary
J. Denz, J. Hepp, C. Buerhop, B. Doll, J. Hauch, C. J. Brabec, I. M. Peters
Summary: Photovoltaic modules are robust in outdoor operation, with about 1 in 250 modules failing completely each year. However, about 1 in 10 modules will develop a defect resulting in power loss, and almost every module will develop visually perceivable alterations. There is no indication of dramatic changes in future performance, but more information and reporting guidelines are needed.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Proceedings Paper
Energy & Fuels
Carlos D. Rodriguez-Gallegos, Haohui Liu, Oktoviano Gandhi, Jai Prakash Singh, Vijay Krishnamurthy, Abhishek Kumar, Joshua S. Stein, Li Li, Shitao Wang, Thomas Reindl, Ian Marius Peters
Summary: This study compares the techno-economic performance of different photovoltaic installation configurations and finds that installations with bifacial modules and single-axis trackers can increase yield and reduce LCOE in the vast majority of locations worldwide. Although dual-axis trackers achieve higher yields, their high cost leads to a higher overall LCOE.
2021 IEEE 48TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC)
(2021)
Proceedings Paper
Energy & Fuels
Mathis Hoffmann, Johannes Hepp, Bernd Doll, Claudia Buerhop-Lutz, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
Summary: This study successfully narrowed the gap in predicting power loss of photovoltaic modules between photoluminescence images and electroluminescence images using deep learning methods, achieving accurate prediction of module power and localizing power loss regions.
2021 IEEE 48TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC)
(2021)
Proceedings Paper
Energy & Fuels
Haohui Liu, Carlos D. Rodriguez-Gallegos, Zhe Liu, Tonio Buonassisi, Thomas Reindl, Ian Marius Peters
Summary: Comparing four possible tandem module architectures in terms of techno-economic performance, it is found that three-terminal and mechanically voltage-matched modules show the most potential. Tandem solar cells are especially well suited for high-value markets and arid climates.
2021 IEEE 48TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC)
(2021)
Proceedings Paper
Energy & Fuels
Ian Marius Peters, Parikhit Sinha
Summary: The stability of PV modules plays a crucial role in reducing the levelized cost of energy and environmental impacts of PV systems. Increasing module lifetime and reducing degradation rate can bring significant benefits in terms of cost and carbon footprint reduction.
2021 IEEE 48TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC)
(2021)
