E nergy costs are the largest percentage of a hydrocarbon plant’s operating expenditures. This is especially true of the distillation process, which requires substantial energy consumption. Concerns over recent high costs and economic pressures continually emphasise the need for efficient distillation design and operation without a loss of performance. This article illustrates how energy-effici...

BACKGROUND This study investigates the generation of HCl and other acid gases from boiling calcium chloride dominated waters at atmospheric pressure, primarily using numerical modeling. The main focus of this investigation relates to the long-term geologic disposal of nuclear waste at Yucca Mountain, Nevada, where pore waters around waste-emplacement tunnels are expected to undergo boiling and ...

Lubricating oil base stocks (LOBs) are substances used in the manufacture of finished lubricants and greases. They are produced from residue remaining after atmospheric distillation of crude oil that is subsequently fractionated by vacuum distillation and additional refining steps. Initial LOB streams that have been produced by vacuum distillation but not further refined may contain polycyclic ...

Cinnamon is the bark the cinnamomi cassia that exhibits many medical properties such as anti-cancer effect and anti-diabetic effect. Moreover, because of its antioxidant activity; it can be used in food industries. Many studies have already reported biological and chemical properties of the cinnamon extracted essential oil such as their antimicrobial, antifungal, antimosquito, free radical scav...

This paper describes an algorithm for disaggregating daily rainfall into sub-daily rainfall ‘fragments’ (continuous fine-resolution rainfall sequences whose total depth sums to the daily rainfall amount) under a future, warmer climate. The basis of the algorithm is to re-sample sub-daily fragments from the historical record conditional on the total daily rainfall amount and a range of temperatu...

Deep reinforcement learning with domain randomization learns a control policy in various simulations randomized physical and sensor model parameters to become transferable the real world zero-shot setting. However, huge number of samples are often required learn an effective when range is extensive due instability updates. To alleviate this problem, we propose sample-efficient method named cycl...

We analyze how extreme rainfall intensities in the Eastern United States depend on temperature T, dew point temperature Td, and convective available potential energy CAPE, in addition to geographic sub-region, season, and averaging duration. When using data for the entire year, rainfall intensity has a quasi Clausius-Clapeyron (CC) dependence on T, with super-CC slope in a limited temperature r...

This paper proposes a technique for optimizing crude cut points. Taguchi method is applied in the selection of the significant variables and their respective optimal levels for a fractionation process. The variables considered were the cut point temperatures of products, namely, naphtha, kerosene, light and heavy diesels, atmospheric gas oil and the residue. The variables were assigned lower an...

Indoor and outdoor pollution has become a worldwide problem; it impacts both the environment human health. Research-driven air assessment studies were done in some of larger South African cities like Cape Town Pretoria, but almost none Free State province. The purpose present study was to determine PM2.5 levels its chemical components over period more than one year capital, Bloemfontein. Partic...