Using Remote Sensing Data for Integrating different Renewable Energy Sources at Coastal Site in South Italy

AbstractItalian coastal sites have the advantage of favorable climatic conditions to use mixed renewable energy sources, such as solar and wind. Harbors are safe places to install wind turbines where wind conditions are almost offshore. Space-borne remote sensing can provide information to determine solar and wind energy production potential cheaper than usual observational activity to identify and assess suitable areas. Here, we present a case study for both energy resources assessment from satellite in harbors

One Year of Vertical Wind Profiles Measurements at a Mediterranean Coastal Site of South Italy

To exploit wind energy both onshore and offshore in coastal area the effect of the coastal discontinuity is important. The shape of the vertical wind profiles and the related c parameter of the Weibull distribution are impacted by the atmospheric internal boundary layers developing from the coast along the wind direction. Here, we present first results: one year of vertical wind speed and direction profiles, monitoring programme at a South Mediterranean coastal site with a wind Lidar ZephIr (ltd). Daily variation of wind speed and direction vertical profiles, vertical Weibull wind distribution c parameter and wind rose are here showed

Five Years of Dust Episodes at the Southern Italy GAW Regional Coastal Mediterranean Observatory: Multisensors and Modeling Analysis

The Mediterranean area is a climate-change hotspot because of the natural and anthropogenic pollution pressure. The presence of natural aerosols, such as dust, influences solar radiation and contributes to the detection, in storm episodes, of significant concentrations of PM10 in Southern Italy, where generally fresh and clean air is due to local circulation, and particulate matter concentrations are very low. We present the results of medium-term observations (2015–2019) at Lamezia Terme GAW (Global Atmospheric Watch) Regional Observatory, with the purpose of identifying the dust incursion events by studying the aerosol properties in the site. To achieve this goal, the experimental data, collected by several instruments, have been also correlated with the large-scale atmospheric patterns derived by the ERA5 reanalysis dataset, in order to study the meteorological conditions that strongly influence dust outbreaks and their spatio-temporal behavior. An intense dust-outbreak episode, which occurred on 23–27 April 2019, was chosen as a case study; a detailed analysis was carried out considering surface and column optical properties, chemical properties, large-scale pattern circulation, air-quality modeling/satellite products, and back-trajectory analysis, to confirm the capability of the modeled large-scale atmospheric fields to correctly simulate the conditions mainly related to the desert dust-outbreak events

Comparison of Hourly Solar Radiation from a Ground–Based Station, Remote Sensing and Weather Forecast Models at a Coastal Site of South Italy (Lamezia Terme)

AbstractThe solar radiation is a critical input parameter when working with solar energy and radiation dependent surface processes. In this study, we present preliminary results from an inter-comparison between hourly values from a pyranometer, MSG-SEVIRI sensor and two meso-scale models, WRF and RAMS, in clear and cloudy sky conditions. Cloudy sky condition is the most important because the attenuation of solar radiation in the atmosphere is strongly dependent on the cloud variability. Bias and RMSE errors are evaluated at a coastal site in the Mediterranean area. These statistics show the tendency of both models to overestimate short-wave radiation

CANv2: a hybrid CA model by micro and macro-dynamics examples

Cellular Automata (CA), one of the most challenging computational paradigms in microscopic and macroscopic complex systems simulation, can be successfully addressed also by using a modified CA classical approach. In this contribution we discuss related aspects in applying the CANv2 approach in examples of micro and macro dynamics such as: superconductive devices and forest fire simulation. Advantages and limitations are introduced when both microscopic and macroscopic dynamics are taken into account justifying the introduction of hybrid components between single cellular automata, i.e. a network in which global behavior and local interactions can coexist with side effects in computational parallelism addressing

From classical infinite space–time CA to a hybrid CA model for natural sciences modeling

Complex phenomena occurring in natural sciences are usually characterized by a non trivial interplay between microscopic and macroscopic dynamics, which can be successfully captured by the cellular automata (CA) computational paradigm. In this paper we show that some approximation of the classical CA paradigm is needed in order to properly deal with complex dynamical systems. Real phenomena can be efficiently modeled and simulated by introducing a modified CA approach, the CANv2. In this way one takes into account multiscale dynamics, through approximate infinite and/or infinitesimal dynamical stages, by means of a hybrid network of standard CA components and global operators. The power of the CANv2 approach is fully exploited by discussing three examples borrowed from the realm of natural science: debris flows after a landslide, superconductive devices and forest fires spread. Advantages and limitations of our computational model explicitly arise when examples are discussed

Wind Profiles Identification using Wind Lidars: an Application to the Area of Lametia Terme

The definition of the vertical wind profile is a crucial point for wind loads and wind resource assessment. However, nowadays efficient methods for the measurement and probabilistic modeling of the vertical wind profiles are not fully available. Recent developments of remote sensing technologies such as Wind Lidars allow for the measurement of the vertical wind profile without the need of installing met masts. The present paper focuses on the assessment of vertical wind profiles on flat terrains employing Wind Lidars. These are described through the power law, characterized by the Hellmann coefficient, and through the modified logarithmic profile, characterized by the aerodynamic roughness coefficient and a stability correction parameter depending on the Monin–Obukhov length. Results for the area of Lamezia Terme are presented, pointing out some the issues related to complex terrains and breeze regimes