We are an ambitious and multidisciplinary team with deep expertise in energy, data analysis, and geospatial technology. In addition to providing qualified analysis and research on the solar market, we develop machine learning-based remote analysis solutions that create new insights and strengthen decision-making throughout the solar industry.
Dr. Eng. Johan Lindahl
johan@becquerelsweden.se, 0768-511 773
Johan Lindahl possesses extensive experience in market and policy matters concerning the PV market, both nationally and internationally. This includes his role as Secretary General for the European Solar Manufacturing Council, and his ten years as the Swedish representative in the international organization IEA PVPS. In the latter, national experts compile annual changes in installation volumes, price trends, and policies at a national level, collectively analyzing global trends. Furthermore, he previously served as the spokesperson for the industry organization Svensk Solenergi, responsible for the association's advocacy work, investigations, consultation responses, statistics, and engagement with politicians, media, authorities, and various industry stakeholders.
Johan also holds a PhD in CIGS thin-film solar cells from Uppsala University, providing expertise in solid-state physics/chemistry, thin-film deposition using various vacuum methods, material characterization, and electrical measurements of solar cell structures.
Erik Lindvall
erik@becquerelsweden.se
Erik holds a Master of Science in Engineering Physics from Uppsala University, specializing in computational science and machine learning. He is passionate about technical solutions that promote sustainable development and has a strong interest in remote sensing. In spring 2024, Erik completed his master's thesis at Becquerel Sweden, where he further developed a classification algorithm to map decentralized solar PV installations across Sweden.
Erik's current work primarily involves data-driven remote sensing through the development of neural networks that automatically detect and estimate the area of decentralized solar PV installations from aerial photographs, providing deeper insights into the solar power industry in Europe.
Gustav Öhgren
gustav@becquerelsweden.se
Gustav holds a Master of Science in Energy Systems from Uppsala University, with a specialization in areas such as solar energy and electricity grids. He has a particular interest in solar power simulations and, during his thesis work at Becquerel Sweden, implemented a snow loss model in Python to enhance the accuracy of hourly solar power simulations. Previously, he has worked with both data collection and data analysis related to the PV market and IEA PVPS Task 1.
Presently, he primarily works with solar power simulations to quantify balancing effects within low-voltage grids.
Robert Johansson
robert@competic.se
Robert holds a Master of Science in Engineering Physics from the Royal Institute of Technology (KTH). He has extensive experience in system development, including contributing to the development of eye-tracking systems at Tobii. Since then, he has primarily focused on building web solutions and applications, such as a course management system used in sustainable development education.
At Becquerel Sweden, Robert is working on a project to detect PV installations from aerial photographs and another project to calculate the optimal tilt angle for solar farms in various Nordic locations.