Ekiti State is a farming region with the ability to produce biomass reserves, which include yet refined crop cultivation product leftovers like sugar cane, corn cobs, palm husk shells, and okanagan wood, for use as fuel. The vast energy-generating potential of crops for use in industry and household applications is examined in this article. Biomass crops were subjected to a thermogravimetric examination to determine their unique thermal activity in an airtight and benign atmosphere with a temperature increase of 10°C per minute up to 800°C. The decrease in weight pattern was shown to be similar across all four waste specimens. Three reactive regions were identified during the nitrogen-rich environment assessment, which correlate to water loss, flammable generation, and char breakdown. Three response domains in an air system corresponded to the degradation, burning, and drying of char. The proximate and ultimate evaluation outcomes demonstrated that each of the bioenergy crop leftovers under investigation is fit for gas extraction and fuel combustion to meet power and thermal needs. The computational and experimental analysis revealed that Okanagan wood has the highest calorific value which indicates the highest heat values and considered the best for biomass energy production in Ekiti State for entrepreneurial venture.

A recurring challenge in the global oil and gas industry is the issue of reduced volume of petroleum products when loaded into petroleum trucks. Incorrect measurement of product volumes during custody transfer operations can lead to discrepancies in actual quantities, which can have significant financial implications for the parties involved. For these reasons, data collected from hydrometers and thermometers for determining the density at 15°C must be reliable to avoid discrepancies in volume delivered and received. The present study estimates the reliability of super and gasoil temperature and density measurements by applying data quality dimensions. It was also found that the data for quantifying volumes of petroleum products operations was approximately 13.8% erroneous. The most common errors found in the specific condition monitoring data were caused by outlier data. The most likely cause for the outlier data is the quality of work performance at ABC company fuel terminals. The economic impacts resulting from these small measurement errors prompt companies in the sector to focus on continuous improvement of their measurement systems.