Article
Environmental Sciences
Jishi Wei, Yunling Ye, Haichao Yu
Summary: Manufacturing agglomeration has both promoting and inhibiting effects on haze pollution in Chinese cities, and the external shape complexity and fragmentation of cities have a moderating effect on this relationship. With increased complexity and fragmentation, haze pollution also increases. Manufacturing agglomeration shows a pattern of first inhibiting and then promoting haze pollution, and increased urban compactness enhances its inhibiting effect on haze pollution.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Wei Feng, Hang Yuan
Summary: This paper investigates the relationship between haze pollution and urban innovation in China and finds that haze pollution has a significant inhibitory effect on urban innovation. The channels through which haze pollution affects urban innovation are mainly related to production efficiency, willingness to consume, and entrepreneurial activity. The inhibitory effect of haze pollution on innovation also has a spatial spillover effect, with varying impacts in different regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Review
Green & Sustainable Science & Technology
Seyyed Ali Sadat, Bram Hoex, Joshua M. Pearce
Summary: This review examines the effects of haze on solar photovoltaic (PV) performance and identifies research gaps. Haze reduces irradiance and changes the solar spectrum, affecting PV materials differently. Haze also impacts revenue loss for PV operators and requires customized PV systems. Air pollution control regulations and international actions are necessary to increase global PV output.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Environmental Sciences
Xinfei Li, Yueming Li, Chang Xu, Jingyang Duan, Wenqi Zhao, Baodong Cheng, Yuan Tian
Summary: This paper explores the impact mechanism of environmental regulation on haze from the perspective of urban agglomerations and finds the most suitable environmental regulation intensity for haze control. The results show that the effect of environmental regulation on haze varies depending on the level of regional economic development. Therefore, environmental regulation should be formulated according to local conditions. In addition, the study demonstrates the threshold effect of environmental regulation on haze concentration in the five major urban agglomerations.
Article
Environmental Sciences
Yuanhua Yang, Dan Yan
Summary: The study found that urban sprawl has an impact on haze pollution, but the impact shows a non-linear relationship, and there are significant differences in different time periods and regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Vasileios Kapsalis, Carmen Maduta, Nikolaos Skandalos, Meng Wang, Sushant Suresh Bhuvad, Delia D'Agostino, Tao Ma, Uday Raj, Danny Parker, Jinqing Peng, Dimitris Karamanis
Summary: This research provides a comprehensive assessment of rooftop photovoltaic systems across the globe, taking into account the influence of climate conditions on system performance. It shows that rooftop photovoltaic systems have positive impacts on building energy performance, especially in moderate and warm climates. The study also proposes a method for calculating the space requirements for achieving net zero energy buildings.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Environmental Sciences
Zhipeng Yu, Taihua Yan, Xinran Liu, Anze Bao
Summary: This study examines the impacts of urban land expansion in China on haze pollution, revealing the importance of urban land expansion for the quality of the urban environment. The results show that improving the intensity and structure of urban land expansion can reduce haze pollution, and these impacts vary across cities in terms of size, type, and location.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Environmental
Yuan Cheng, Qinqin Yu, Jiumeng Liu, Youwen Sun, Linlin Liang, Zhenyu Du, Guannan Geng, Wanli Ma, Hong Qi, Qiang Zhang, Kebin He
Summary: During a six-month long heating season in Harbin, China, formation of secondary inorganic aerosol was investigated, showing that sulfate formation was enhanced at high relative humidity, but considered inefficient overall. With increasing temperature, sulfur oxidation ratio and nitrogen oxidation ratio increased, leading to a higher nitrate to sulfate ratio. The influence of biomass burning emissions on SIA formation was evident, with a noticeable impact on nitrogen oxidation ratio.
FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING
(2022)
Article
Environmental Sciences
Quan Zhang, Lang Liu, Gang Yang, Weiwei Sun, Huimin Lu, Tian Feng
Summary: The urban heat island (UHI) is influenced by airborne particulates and this study investigates their radiative effects on the regional thermal environment and UHI intensity (UHII) in the Yangtze River Delta. The results show that UHI effect is prevalent in megacities of the region, with higher surface UHII than canopy UHII. The UHI effect is more significant during nighttime and reaches its maximum in the late afternoon. The study highlights the significant influence of sulfate, nitrate, and ammonium aerosols on UHI, while organic aerosols and black carbon have lesser effects.
Article
Environmental Sciences
Xinglu Zhang, Yu Zheng, Huizheng Che, Ke Gui, Lei Li, Hujia Zhao, Yuanxin Liang, Wenrui Yao, Xindan Zhang, Hengheng Zhao, Yanting Lu, Xiaoye Zhang
Summary: The seasonal and diurnal characteristics of the vertical distribution of aerosols in urban Beijing from 2017 to 2021 were studied using long-term Raman-Mie LiDAR observations. The influence of aerosol vertical distribution, meteorological conditions within the boundary layer, optical-radiometric properties of aerosols, and their interconnections were investigated during a heavy haze pollution event in Beijing from 8 to 15 February 2020 using meteorological and sun photometer data. The aerosol extinction coefficient was highest in summer, followed by winter, and roughly equal in spring and autumn. During the haze pollution event, the particulate matter mainly consisted of scattered spherical fine particles, and the accumulation time of pollutants measured via AOD(440nm) and PM2.5 mass concentration was different due to the hygroscopic growth of the aerosol particles. This growth increased scattering and led to an increase in the aerosol optical depth. The vertical transport of particulate matter also contributed to the increase in the aerosol optical depth.
Article
Environmental Sciences
Mengna Gu, Yuepeng Pan, Qian Sun, Wendell W. Walters, Linlin Song, Yunting Fang
Summary: It was previously believed that ammonia (NH3) has a short residence time in the atmosphere and cannot be transported far from its sources. However, this study found that in urban Beijing, ammonia pollution is primarily from nonagricultural emissions, particularly vehicles, rather than agricultural activities. This finding suggests that nonagricultural sources should be considered when designing a control strategy for reducing haze pollution caused by ammonia in the urban atmosphere.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Multidisciplinary Sciences
Wanxiong Zhang, Ruiyun Cui, Changyuan Li, Hailong Ge, Zhuoya Zhang, Xueqiong Tang
Summary: Urban agglomeration construction has a significant impact on air quality, with economic development, industrial structure, and meteorological factors being key influencing factors. There are significant differences in the impact and concentration distribution patterns between different urban agglomerations.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Xiaohong Liu
Summary: The study found that haze pollution increases urban shrinkage, and labor supply plays a regulating role in the process of haze pollution affecting urban shrinkage. Haze pollution leads to a decrease in urban labor supply, which in turn affects the degree of urban shrinkage.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Chunkai Zhao, Min Deng, Xiguang Cao
Summary: The haze pollution in China has both positive and negative effects on urban innovation, stimulating innovation while also weakening the city's technological innovation ability. Public awareness of the environment is enhanced by haze pollution, prompting the government to increase investment in science and technology.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Review
Computer Science, Interdisciplinary Applications
Neeraj Sharma, Vijay Kumar, Sunil Kumar Singla
Summary: This paper provides an overview of existing deep learning algorithms for image dehazing, discussing issues with current techniques and the basic concepts involved, as well as analyzing different deep learning approaches and their applications. It also highlights challenges and problems in existing image dehazing techniques.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Review
Chemistry, Physical
Marta Victoria, Nancy Haegel, Ian Marius Peters, Ron Sinton, Arnulf Jaeger-Waldau, Carlos del Canizo, Christian Breyer, Matthew Stocks, Andrew Blakers, Izumi Kaizuka, Keiichi Komoto, Arno Smets
Summary: Solar photovoltaics (PV) technology has become a highly cost-competitive technology capable of significantly reducing CO2 emissions. However, current scenarios assessing global decarbonization pathways lack recognition of the key role this technology could play.
Review
Chemistry, Physical
I. M. Peters, C. Breyer, S. A. Jaffer, S. Kurtz, T. Reindl, R. Sinton, M. Vetter
Summary: Batteries play a crucial role in the transition towards terawatt levels of photovoltaics by reducing fluctuations in electricity generation and enabling higher adoption rates. Technological, economic, and policy innovations are needed to expand the adoption of batteries in solar energy systems.
Article
Physics, Applied
Fatima Akhundova, Larry Lueer, Andres Osvet, Jens Hauch, Ian Marius Peters, Karen Forberich, Ning Li, Christoph Brabec
Summary: A study was conducted on the influence of processing parameters on nonradiative losses in perovskite bulk, revealing the potential to control the photoluminescence quantum yield and optimize material morphology by varying the processing conditions. The research also found that nonradiative losses in polycrystalline perovskite films are attributed to increased domain size dispersion.
APPLIED PHYSICS LETTERS
(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)
Article
Chemistry, Multidisciplinary
Kecheng Long, Shaozhen Huang, Han Wang, Anbang Wang, Yuejiao Chen, Zhijian Liu, Yu Zhang, Zhibin Wu, Weikun Wang, Libao Chen
Summary: This study proposes a low-cost Li foil surface-reconstruction strategy using a mechanochemistry reaction between fumed silica and Li to achieve dendrite-free Li metal anode. The reconstructed surface enhances the electrode dynamics and constructs an anionphilic interface, leading to significantly improved low-temperature and cycling performance of Li metal batteries while maintaining high energy density and stable cycle performance.
ENERGY & ENVIRONMENTAL SCIENCE
(2024)
Article
Chemistry, Multidisciplinary
Changchun Ye, Zhenghui Pan, Qinghua Zhang, Fang Yin, Yanan Wang, Yifei Li, Guangxu Chen, Jia Li, Yongcai Qiu, Geoffrey I. N. Waterhouse, Lin Gu, Zhang Lin, Lin Guo
Summary: A facile synthesis route for heterostructured metal oxides via quenching-induced structural transformation was developed. Multiple quenching triggered the transformation from NiMoO4 to NiFe2O4, creating a novel heterostructure, and the pre-quenching generated disordered defect structure can promote subsequent quenching regulation.
ENERGY & ENVIRONMENTAL SCIENCE
(2024)
Article
Chemistry, Multidisciplinary
Yang Liu, Xufei An, Ke Yang, Jiabin Ma, Jinshuo Mi, Danfeng Zhang, Xing Cheng, Yuhang Li, Yuetao Ma, Ming Liu, Feiyu Kang, Yan-Bing He
Summary: The lack of understanding of ion transport in the cathode of PVDF-based solid-state lithium metal batteries limits their performance. The use of carbon-coated Li1.4Al0.4Ti1.6(PO4)3 nanowires as a cathode filler improves the diffusion of ions in the thick cathode, leading to enhanced battery performance and stability.
ENERGY & ENVIRONMENTAL SCIENCE
(2024)
Article
Chemistry, Multidisciplinary
Zixing Wang, Kang Luo, Jian-Fang Wu, Peng Gao, Kexuan Wang, Shi Chen, Jian Tu, Xiulin Fan, Jilei Liu
Summary: This study improves the performance limitations of potassium-ion batteries at extreme temperatures by regulating the ion-solvent-coordinated structure, leading to enhanced cycling performance and capacity retention.
ENERGY & ENVIRONMENTAL SCIENCE
(2024)
Article
Chemistry, Multidisciplinary
Shan Jiang, Ruyue Wang, Minghua Li, Runnan Yu, Fuzhi Wang, Zhan'ao Tan
Summary: This study developed a synergistic electrical and light management strategy to maximize the voltage output in monolithic perovskite/organic tandem solar cells. By optimizing the interface contact and regulating the donor/acceptor ratio, the fabricated cells achieved remarkable power conversion efficiency and high open-circuit voltage.
ENERGY & ENVIRONMENTAL SCIENCE
(2024)
Article
Chemistry, Multidisciplinary
Gwanho Kim, Jae Won Lee, Kaiying Zhao, Taebin Kim, Woojoong Kim, Jin Woo Oh, Kyuho Lee, Jihye Jang, Guangtao Zan, Jong Woong Park, Seokyeong Lee, Yeonji Kim, Wei Jiang, Shengyou Li, Cheolmin Park
Summary: In this study, a new type of complementary energy harvester that can simultaneously generate moisture-induced and triboelectric power is introduced. This device exhibits high resilience, high energy output, and potential applications in emergency guidance systems.
ENERGY & ENVIRONMENTAL SCIENCE
(2024)