A5069845645- Solar Radiation and Photovoltaics
- Photovoltaic Systems and Sustainability
- Photovoltaic System Optimization Techniques
- Icing and De-icing Technologies
- Solar Thermal and Photovoltaic Systems
- solar cell performance optimization
- Cryospheric studies and observations
- Smart Grid Security and Resilience
- Smart Grid Energy Management
- Electrical Fault Detection and Protection
- Power System Optimization and Stability
- Advanced Battery Technologies Research
- Smart Materials for Construction
- Integrated Circuits and Semiconductor Failure Analysis
- Energy and Environment Impacts
- Atmospheric Ozone and Climate
- Occupational Health and Safety Research
- Technology Assessment and Management
- Research, Science, and Academia
- Big Data and Business Intelligence
- Social Acceptance of Renewable Energy
- Structural Analysis and Optimization
- Diverse Education and Engineering Focus
- Advanced Energy Technologies and Civil Engineering Innovations
- Economic and Technological Innovation
Sandia National Laboratories
2015-2024
Sandia National Laboratories California
2016-2021
Bifacial photovoltaic dual-axis tracker systems have the potential to out-perform other module/mounting configurations at high latitudes, where reflectivity of snow in winter boosts bifacial performance and low solar angle-of-incidence favors tracking. Two years empirical data from experimental Vermont support this assertion, demonstrating that modules on a produced 14 percent more electricity year than their monofacial counterparts as much 40 during peak months. These gains are addition...
Abstract Large‐scale accrual of snow and ice on solar arrays in northern latitudes can cause significant power generation losses during winter. Depending environmental conditions, encompass a wide range physical characteristics from dry (modulus ≈100 kPa density ≈0.1 g cm −3 ) to bulk ≈8 GPa ≈0.9 ). This variation morphology has made the development passive, broad‐spectrum, ice‐shedding surface challenging. Here, authors develop one first surfaces that simultaneously possesses both...
Snow is a significant challenge for photovoltaic (PV) systems at northern latitudes, where the pace of deployment rapid but snow-related power losses can exceed 30% annual production. Accurate loss estimation methods utility-scale sites support snow mitigation strategies, inform resource planning and validate predictive snow-loss models. This study builds on our previous work inverter-based detection snow, its implications production, by validating accuracy method across different PV system...
Electric distribution utilities, the companies that feed electricity to end users, are overseeing a technological transformation of their networks, installing sensors and other automated equipment, fundamentally changing way grid operates. These modernization efforts will allow utilities incorporate some newer technology available home user – such as solar panels electric cars which result in bi-directional flow energy information. How this new information affect control room operations?...
As photovoltaic (PV) deployment increases worldwide, PV systems are being installed more frequently in locations that experience snow cover. The higher albedo of snow, relative to the ground, performance northern and high-altitude by reflecting light onto modules. Accurate modeling snow’s can improve estimates system production. Typical uses a simple two-value model sets high when is present, low not present. However, changes over time as settles melts binary does account for transitional...
Energy losses due to snow coverage can be high in climates with large annual snowfall. These may reduced region-specific system design guidelines. One possible factor retention on PV systems could frame presence and/or shape. Sandia is studying the effect of module photovoltaic shedding for a pair otherwise-identical Vermont. The results this study provide summary findings after 2018-2019 winter period. clearly show that inhibits performance mild conditions.
This paper presents the methodology and preliminary results from a global study on solar over-irradiance events, which are more frequent than previously believed can negatively impact utility-scale PV operations. Data five test sites in Florianópolis Brotas de Macaúbas Brazil, Bernburg Germany, Albuquerque, USA Loughborough, United Kingdom presented analyzed.
Modeling and predicting snow-related power loss is important to economic calculations, load management system optimization for all scales of photovoltaic (PV) plants. This paper describes a new method measuring snow shedding from fielded modules also the application this commercial scale PV plant in Vermont with two subsystems, one portrait orientation other landscape. The relies on time-series images taken at 5 minute intervals capture dynamics module-level accumulation shedding....
Snow and ice accumulation on photovoltaic (PV) panels is a recognized—but poorly quantified—contributor to PV performance, not only in geographic areas that see persistent snow winter but also at lower latitudes, where frozen precipitation "snowmageddon" events can wreak havoc with the solar infrastructure. In addition, research impact of cold systems has kept pace proliferation new technologies, rapid deployment northern experiences long-term field performance. This paper describes value...
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