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Distributed solar photovoltaic array location and extent dataset for remote sensing object identification

Kyle Bradbury, Raghav Saboo, Timothy L. Johnson, Jordan M. Malof, Arjun Devarajan, Wuming Zhang, Leslie M. Collins, Richard G. Newell
2016 Scientific Data  
We created a dataset of solar PV arrays to initiate and develop the process of automatically identifying solar PV locations using remote sensing imagery.  ...  , estimating installed PV capacity, and analysis of the socioeconomic correlates of PV deployment.  ...  Acknowledgements Students from the Data+ and Bass Connections in Energy teams at Duke University assisted in GUI development and manual annotation of solar panel locations.  ... 
doi:10.1038/sdata.2016.106 pmid:27922592 pmcid:PMC5148580 fatcat:r4jualrtovdnhp5wztvjqehgje

Roof Age Determination for the Automated Site-Selection of Rooftop Solar [article]

Chris Heinrich, Michael Laskin, Simas Glinskis, Evert van Nieuwenburg
2020 arXiv   pre-print
The reason for this is simple – because rooftop solar installations are long-lived, the roof needs to be new enough to last for the lifetime of the solar array or old enough to justify being replaced.  ...  In this paper we present a data-driven method for determining the age of a roof from historical satellite imagery, which removes one of the last obstacles to a fully automated pipeline for rooftop solar  ...  Introduction The last 10 years have seen a dramatic drop in the cost of electricity generated from solar photovoltaic (PV) systems [1] .  ... 
arXiv:2001.04227v1 fatcat:3e3qcyakvrb5vp4ljd444umcly

Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning

Simiao Ren, Jordan Malof, Rob Fetter, Robert Beach, Jay Rineer, Kyle Bradbury
2022 ISPRS International Journal of Geo-Information  
In this work, we explore the viability and cost-performance tradeoff of using automatic SHS detection on unmanned aerial vehicle (UAV) imagery as an alternative to satellite imagery.  ...  panels only occupy several pixels in satellite imagery).  ...  We also thank the Duke Forest for their use of the UAV flight zone for data collection. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi11040222 fatcat:kvsd3uu4unbkzczy7ykcv2hwp4

An Artificial Intelligence Dataset for Solar Energy Locations in India [article]

Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan Lavista Ferres
2022 arXiv   pre-print
As a result, India has set ambitious goals to install 300 gigawatts of solar energy capacity by 2030.  ...  Rapid development of renewable energy sources, particularly solar photovoltaics, is critical to mitigate climate change.  ...  Finally, we estimated when solar PV installations were constructed (section 2.3) and assessed the land use prior to construction for each array (section 2.4).  ... 
arXiv:2202.01340v1 fatcat:yzvikvzypvck3n47b75lwrlf24

Predicting PV Areas in Aerial Images with Deep Learning

Matthias Zech, Joseph Ranalli
2020 2020 47th IEEE Photovoltaic Specialists Conference (PVSC)  
Data on the location of distributed photovoltaic installations are valuable to a variety of research activities.  ...  The model is able to accurately estimate location and shape of PV plants in the north European town of Oldenburg.  ...  By classifying PV systems on a pixel basis, the model used in this study also enables the possibility of estimating a system's rated capacity, which may be of interest to electrical models of distributed  ... 
doi:10.1109/pvsc45281.2020.9300636 fatcat:r72adtauirggte2gumxn4gyb2u

Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants

Paolo Bellezza Quater, Francesco Grimaccia, Sonia Leva, Marco Mussetta, Mohammadreza Aghaei
2014 IEEE Journal of Photovoltaics  
The main objectives of this study are to explore and evaluate the use of different UAV technologies and to propose a reliable, cost-effective, and time-saving method for the inspection of PV plants.  ...  Index Terms-Photovoltaic (PV) module, PV system control and monitoring, thermal imaging camera, unmanned aerial vehicle (UAV).  ...  Microcrack defects can appear as some different color lines on both sides of the PV module, and they can be detected only using special devices such as thermal and infrared cameras or by the optical method  ... 
doi:10.1109/jphotov.2014.2323714 fatcat:uh65lvyj5ff4zinneeycsvja5e

Assessment of rooftop photovoltaic potentials at the urban level using publicly available geodata and image recognition techniques

Kai Mainzer, Sven Killinger, Russell McKenna, Wolf Fichtner
2017 Solar Energy  
The local generation of renewable electricity through roof-mounted photovoltaic (PV) systems on buildings in urban areas provides huge potentials for the mitigation of greenhouse gas emissions.  ...  The main 67 steps in PV potential estimation methods include 68 the assessment of the available area for PV modules, 69 the simulation of solar irradiance on the tilted mod-70 ule surfaces and the calculation  ...  building roofs, as this can not easily be extracted776 from aerial imagery. The current approach is an 777 estimation of tilt using an empirical distribution 778 function.  ... 
doi:10.1016/j.solener.2017.06.065 fatcat:dmfymoqsyvbwvklvkh4pjdkhsy

Using Earth Observations to Help Developing Countries Improve Access to Reliable, Sustainable, and Modern Energy

Amy Leibrand, Natasha Sadoff, Tanya Maslak, Amy Thomas
2019 Frontiers in Environmental Science  
This paper reviews the many existing applications for EO data, such as the use of nighttime lights imagery for estimations of rural electrification, EO-derived normalized difference vegetation index (NDVI  ...  Using a methodological framework, the authors conducted a comprehensive literature review of primary and gray literature.  ...  Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond. Washington, DC: NAP. Novellino, A., Jordan, C., Ager, G., Bateson, L., Fleming, C., and Confuorto, P.,  ... 
doi:10.3389/fenvs.2019.00123 fatcat:q4qqchrzzje25byap7ntzphlvi

DetEEktor: Mask-R CNN based neural network for energy plant identification on aerial photographs

Maximilian Schulz, Bilel Boughattas, Frank Wendel
2021 Energy and AI  
Boughattas). only in the spatial distribution of the systems, but also in their individual power capacities.  ...  Applied to a high RE share use case, we identified an estimated number of about 1,468 photovoltaic (including 18 free-field), 1,063 solarthermal, 6 biomass and 4 wind power plants missing in the MaStR.  ...  Acknowledgments The authors gratefully acknowledge the support of the Ministry of the Environment, Climate Protection and the Energy Sector Baden-Württemberg and the support of their institute.  ... 
doi:10.1016/j.egyai.2021.100069 fatcat:ytptwzzhvbc2zh6xnadihnyyuu

Automatic Evaluation of Photovoltaic Power Stations from High-Density RGB-T 3D Point Clouds

Luis López-Fernández, Susana Lagüela, Jesús Fernández, Diego González-Aguilera
2017 Remote Sensing  
RGB imagery is used for the generation of a georeferenced 3D point cloud through digital image preprocessing, photogrammetric and computer vision algorithms.  ...  A low-cost unmanned aerial platform (UAV) equipped with RGB (Red, Green, Blue) and thermographic sensors is used for the acquisition of all the data needed for the automatic detection and evaluation of  ...  All authors read and approved the final manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs9060631 fatcat:3uqgjh6ul5dhvj6nl6wn6m77ky

Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: Further improvements by ortho-image analysis and application to Turin (Italy)

Luca Bergamasco, Pietro Asinari
2011 Solar Energy  
the use of integrated systems in place of massive installations.  ...  of aerial georeferenced images (ortho-images).  ...  Thanks to Gianfranco Pirrello, of the City of Turin Council, Settore Gestione Informatica Divisionale e Banche Dati D.I.A.N.A., for the cartographical data.  ... 
doi:10.1016/j.solener.2011.08.010 fatcat:lm5p3xagifbhldvoijfmsqe5lm

Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules

Urtzi Otamendi, Iñigo Martinez, Marco Quartulli, Igor G. Olaizola, Elisabeth Viles, Werther Cambarau
2021 Solar Energy  
The difficulty of acquiring such images has limited the availability of data. For this work, multiple data resources and augmentation techniques have been used to surpass this limitation.  ...  In the operation & maintenance (O&M) of photovoltaic (PV) plants, the early identification of failures has become crucial to maintain productivity and prolong components' life.  ...  Calama and I.Arrizabalaga for contributing to the generation of the TecnaliaPR dataset.  ... 
doi:10.1016/j.solener.2021.03.058 fatcat:hypflsf6kffnfcngyky3ocuytm

A cross-country perspective on solar energy in urban planning: Lessons learned from international case studies

G. Lobaccaro, S. Croce, C. Lindkvist, M.C. Munari Probst, A. Scognamiglio, J. Dahlberg, M. Lundgren, M. Wall
2019 Renewable & Sustainable Energy Reviews  
of the solar systems for urban planning.  ...  A B S T R A C T This work, framed in the IEA SHC Task 51 "Solar Energy in Urban Planning", presents an illustrative perspective of solar energy in urban planning through the analysis of 34 international  ...  Funding from these organizations enabled the leaderships of Task 51.  ... 
doi:10.1016/j.rser.2019.03.041 fatcat:7sgrb4m5dbdmfgtfktlleydmui

A Distributed PV System Capacity Estimation Approach Based on Support Vector Machine with Customer Net Load Curve Features

Fei Wang, Kangping Li, Xinkang Wang, Lihui Jiang, Jianguo Ren, Zengqiang Mi, Miadreza Shafie-khah, João Catalão
2018 Energies  
Malof et al. presented an object detection algorithm for automatically identifying the location and size of small-scale solar PV arrays using high-resolution color satellite imagery [15] .  ...  More importantly, this method only can roughly estimate the physical size of PV arrays but is unable to estimate the specific capacity because the capacity of PV arrays of the same size of could be different  ...  Investigating the robustness of the proposed approach in the presence of DR (e.g., the TOU price DR [26] ). 4.  ... 
doi:10.3390/en11071750 fatcat:47tceu2pmncbxmdmmnugh7cwd4

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

Mercedes Vélez-Nicolás, Santiago García-López, Luis Barbero, Verónica Ruiz-Ortiz, Ángel Sánchez-Bellón
2021 Remote Sensing  
Concretely, the review addresses: (i) the current applications of UAS in surface and groundwater studies, (ii) the type of platforms and sensors mainly used in these tasks, (iii) types of products generated  ...  In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of hydrology, bridging the gap between traditional satellite observations and ground-based measurements and allowing  ...  of the Government of Spain.  ... 
doi:10.3390/rs13071359 fatcat:en3b3kcksbg7xjoksug2eqqylu
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