David Daßler

ORCID: 0000-0002-2823-5237
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About
Contact & Profiles
Research Areas
  • Photovoltaic System Optimization Techniques
  • Solar Thermal and Photovoltaic Systems
  • Photovoltaic Systems and Sustainability
  • Nuclear and radioactivity studies
  • solar cell performance optimization
  • Graphite, nuclear technology, radiation studies
  • Solar Radiation and Photovoltaics
  • Silicon and Solar Cell Technologies
  • Radioactive contamination and transfer
  • Energy Load and Power Forecasting
  • Advanced Fiber Optic Sensors
  • Analytical Chemistry and Sensors
  • Energy and Environment Impacts
  • Building Energy and Comfort Optimization
  • Semiconductor materials and devices
  • Advancements in Semiconductor Devices and Circuit Design
  • Industrial Vision Systems and Defect Detection
  • Polymer Science and PVC

Fraunhofer Center for Silicon Photovoltaics
2015-2024

Fraunhofer Institute for Microstructure of Materials and Systems
2019-2023

Anhalt University of Applied Sciences
2016

Boeing (United States)
2012-2013

Photovoltaic (PV) system reliability and durability investigations are essential for industrial maturity economic success. Recently, PV systems received much interest in Iraq due to many reasons—for instance, power shortage, global warming pollution. Despite this interest, the precise implications of harsh climates like remain uncertain. This work assesses component soiling using field experience historical data. study identifies most common failure modes installed similar climatic regions,...

10.3390/en17112652 article EN cc-by Energies 2024-05-30

Modules with half-cell layout show an increased efficiency due to reduced electrical losses and optical gains. In this work, we demonstrate that by reducing the tab width, additional benefits can be obtained demands for costs of material consumption higher Cell-To-Module power (CTM) ratios met. First, present simulation results on optimal width under different insolation levels calculation energy yield over a year. Second, experimental setup based mini-modules which verifies our findings is...

10.1016/j.egypro.2016.07.009 article EN Energy Procedia 2016-08-01

Photovoltaic modules in desert areas benefit from high irradiation levels but suffer harsh environmental stress factors, which influence the Levelized Cost of Electricity by decreasing lifetime and performance increasing maintenance costs. Using optimized half-cell module designs mounted most efficient orientation according to plant requirements can lead reduced production costs, increased energy yield longer service lives for PV areas. In this work, we review technical advantages regions...

10.3390/en15093219 article EN cc-by Energies 2022-04-28

Modules with partial cells show better performance compared to full-cell modules due lower electrical losses and increased optical gains. In this paper, we compare photovoltaic (PV) made of full, half, third tab widths 0.8 1.5 mm under moderate desert conditions, respectively. Initially, a statistical assessment indoor characterization results the is presented. The efficiency fill factor are evaluated analyze modules. It shown that narrower higher efficiencies implying cell-to-module power...

10.1109/jphotov.2018.2841515 article EN IEEE Journal of Photovoltaics 2018-06-20

It was previously shown that the Laser Enhanced Contact Optimization (LECO) Process is a promising boost for PERC and TOPCon cell manufacturing enhancement. In this contribution, method developed to assess long-term stability of industrial LECO treated cells in module compound. Therefore, extended accelerated aging tests as well outdoor measurements were performed on modules comprising untreated references. described, how data can be evaluated separate typical, known degradation effects from...

10.1051/epjpv/2023004 article EN cc-by EPJ Photovoltaics 2023-01-01

PV plant owners and O&M providers heavily rely on the flawless reliable operation of their systems. Unscheduled maintenance interventions due to incorrect defect or error messages as well unpredicted shading plants soiling lead high yield losses unnecessary additional costs, which adversely affect profitability system. This paper presents innovative methods from machine learning analyze monitoring data. Various approaches such artificial neural networks clustering multi-dimensional data will...

10.1109/pvsc40753.2019.8981367 article EN 2019-06-01

The paper addresses the need to simplify comparison between different climatic conditions. Therefore, concept of Mission Profiles is introduced PV. are a set stresses compiled allow direct comparisons such as temperature, humidity, and UV exposure. use-case in this temperate with hot climate. results show that temperature driven processes highly accelerated for climate, whereas involve humidity may lead similar annual degradation. impact light, particularly UV, even more complex. triggered...

10.1051/epjpv/2023030 article EN cc-by EPJ Photovoltaics 2023-01-01

10.4229/eupvsec20192019-1bo.9.5 article EN 36th European Photovoltaic Solar Energy Conference and Exhibition 2019-10-22

Monitoring data of photovoltaic (PV) systems offer a great opportunity for the application machine learning approaches. Currently, among these approaches, artificial neural networks have become very popular. In this paper, such models will be further investigated and recommendations quality training processes specificity PV system given. comprehensive study based on real system, effect different input parameters (environmental parameters), insufficient availability sensor coverage in field...

10.1109/pvsc45281.2020.9300490 article EN 2020-06-14
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