PV DC Yield Determined by Deep Neural Networks:the Case of Building Integrated PV

PV systems can significantly contribute to achieving the climate neutral goal of the Paris agreement. However, they will present additional challenges to the power grids, due to their intermittent nature. This study aims to model the power output of Building Integrated PV systems (BIPV) on the basis of the application of a Deep Neural Network (DNN) to the following input variables: solar irradiance, module temperature as well as time and location. The DNN has been applied to a dataset containing over four years of data of electrical parameters on module level as well as meteorological data, all at a 5-minutes resolution. The results show that the proposed DNN is able to calculate the PV power output accurately with an R2 score of 0.96 and RMSE of 0.04. Though applied to a BIPV system in this case, the method will be applicable to a myriad of other types of monitored PV systems as well

PV DC Yield Determined by Deep Neural Networks: the Case of Building Integrated PV

PV systems can significantly contribute to achieving the climate neutral goal of the Paris agreement. However, they will present additional challenges to the power grids, due to their intermittent nature. This study aims to model the power output of Building Integrated PV systems (BIPV) on the basis of the application of a Deep Neural Network (DNN) to the following input variables: solar irradiance, module temperature as well as time and location. The DNN has been applied to a dataset containing over four years of data of electrical parameters on module level as well as meteorological data, all at a 5-minutes resolution. The results show that the proposed DNN is able to calculate the PV power output accurately with an R2 score of 0.96 and RMSE of 0.04. Though applied to a BIPV system in this case, the method will be applicable to a myriad of other types of monitored PV systems as well

Ephemeral Astroturfing Attacks: The Case of Fake Twitter Trends

We uncover a previously unknown, ongoing astroturfing attack on the popularity mechanisms of social media platforms: ephemeral astroturfing attacks. In this attack, a chosen keyword or topic is artificially promoted by coordinated and inauthentic activity to appear popular, and, crucially, this activity is removed as part of the attack. We observe such attacks on Twitter trends and find that these attacks are not only successful but also pervasive. We detected over 19,000 unique fake trends promoted by over 108,000 accounts, including not only fake but also compromised accounts, many of which remained active and continued participating in the attacks. Trends astroturfed by these attacks account for at least 20% of the top 10 global trends. Ephemeral astroturfing threatens the integrity of popularity mechanisms on social media platforms and by extension the integrity of the platforms

Community-Acquired Meningitis and Sepsis Caused by Chryseobacterium meningosepticum in a Patient Diagnosed with Thalassemia Major

Chryseobacterium meningosepticum is a rare pathogen in cases of bacterial meningitis in adults and adolescents. We report on the case history of a 17-year-old boy with thalassemia major and meningitis and sepsis caused by C. meningosepticum in splenectomized. The patient received vancomycin therapy for 21 days and was discharged in a state of complete recovery

Monitoring the Operating Temperatures of Modules in Open-Rack and Typical BIPV Configurations

Elevated operating temperatures are expected in BIPV systems due to restricted or reduced rear-side ventilation, which impacts their performance and reliability. This work reports operating temperatures and diurnal (day-night) temperature variations of the modules in open-rack and BIPV mounting configurations (BIPV-ventilated and BIPV-insulated) monitored over a period of 2-5 years in southern Switzerland. The modules in BIPV configurations operated at 20-30 degrees C higher temperatures than the same modules in open-rack. The suitability of the indoor qualification and safety tests in IEC 61215 and IEC 61730 were evaluated according to the 98th percentile real-life operating module temperature as defined in IEC TS 63126 guideline for qualifying PV modules operating at elevated temperatures. The study shows that according to IEC TS 63126, BIPV modules on a tilted surface in southern Switzerland could need to be tested at harsher conditions (e.g. higher temperatures) in a selection of indoor qualification and safety tests

Prevalence and molecular characterisation of metallo-beta-lactamase producing strains of imipenem-resistant Pseudomonas aeruginosa in Turkey

WOS: 000348562100031PubMed ID: 2500884

Evaluation of the non-uniformity of rear-side irradiance in outdoor mounted bifacial silicon PV modules

The bifacial crystalline silicon (Si) photovoltaic (PV) module market has grown significantly in recent years since they offer the opportunity for increased performance in comparison to conventional monofacial PV modules. This is because both sides of the cells can absorb solar radiation, utilizing the scattered light from the ground and surroundings. This however also implies a more difficult energy yield forecast due to the extra rear irradiance contribution that needs to be evaluated. Furthermore, the IEC technical specification (TS) 60904-1-2 indicates a threshold of 10% for rear side irradiance non-uniformity in outdoor characterization conditions. This work is a study of rear-side irradiance (Grear) non-uniformity essential to ensure meaningful characterization and long-term outdoor energy yield measurements for bifacial modules. The sky conditions, location on rack, rear irradiance sensor number and position that influence the rear irradiance non-uniformity for bifacial modules mounted on an open rack are studied. Finally, the minimum number and position of irradiance sensors needed to reliably describe the rear irradiance as a function of time for long-term monitoring of this PV system is proposed.JRC.C.2-Energy Efficiency and Renewable