Managing waste generated by the food industry is a pressing environmental challenge, and traditional disposal methods such as landfilling or incineration are no longer viable solutions. However, by recovering and valorizing waste in wastewater treatment, we can address the waste management issue and the energy-intensive nature of conventional treatment methods with processes compatible with renewable energy technologies. In this work, avocado skin and seed are valorized for their application in removing Rhodamine B (RhB) dye. Avocado skin (ASk) and seed (ASe) were recovered and recycled separately to develop natural bioadsorbents. Biomaterials were characterized by XRD, XPS, ICP-MS, ATR-FTIR spectroscopy, TGA, N₂ adsorption/desorption, and SEM. The ASk and ASe bioadsorbents were employed to remove RhB at four experimental conditions: pH, RhB concentration, bioadsorbent concentration, and temperature. RhB removal was followed by UV–Vis spectroscopy. The results show that at pH 3, the highest percentages of dye removal are achieved, using ASk and ASe, with 88 and 92% removal, respectively. ASe bioadsorbent is more effective for removing RhB dye, reaching 92% after 4 h of contact with 2 g L⁻¹ of bioadsorbent and at 30 °C. Experimental results better fit a pseudo-second-order kinetic model and the Langmuir adsorption model, with maximum adsorption capacities of 13.1240 and 17.9998 mg g⁻¹ for ASk and ASe, respectively. The results show that natural bioadsorbents are suitable options for environmental remediation.

Wind energy production mainly depends on atmospheric conditions. The atmospheric stability can be described through different parameters, such as wind shear, turbulence intensity, bulk Richardson number, and the Monin–Obukhov length. Although they are frequently used in micrometeorology and the wind industry, there is no standard comparison method. This study describes the atmospheric stability of a coastal region of Yucatan, Mexico, using these four parameters. They are calculated using six-month data from a meteorological mast and a marine buoy to determine atmospheric stability conditions and compare their results. The unstable atmospheric condition was predominant at the site, with an 80% occurrence during the measurement period, followed by 12% in neutral and 6% in stable conditions. Wind speed estimations were performed for each atmospheric stability scenario, and the variation in the energy produced was derived for each case. Unstable atmospheric conditions deliver up to 8% more power than stable conditions, while neutral conditions deliver up to 9% more energy than stable conditions. Therefore, considering a neutral state may lead to a considerably biased energy production estimation. Finally, an example calculation indicates that atmospheric stability is a crucial parameter in estimating wind energy production more accurately.