Experimental Research of Gaseous Emissions Impact on the Performance of New-Design Cylindrical Multi-Channel Cyclone with Adjustable Half-Rings

Cyclones are widely used for separating particles from gas in energy production objects. The efficiency of conventional centrifugal air cleaning devices ranges from 85 to 90%, but the weakness of many cyclones is the low collection efficiency of particles less than 10 μm in diameter. The novelty of this work is the research of the channel-type treatment device, with few levels adapted for precipitation of fine particulate matter, acting by a centrifugal and filtration principle. Many factors have an impact on cyclone efficiency—humidity, temperature, gas (air) composition, airflow velocity and etc. Many scientists evaluated only the effect of origin and size of PM on cyclone efficiency. The effect of gas (air) composition and temperature, and humidity on the multi-channel cyclone-separator efficiency still demands contributions. Complex theoretical and experimental research on air flow parameters and the efficiency of a cylindrical eight-channel system with adjustable half-rings for removing fine-dispersive particles (<20 μm) was carried out. The impact of air humidity and temperature on air flow, and gaseous smoke components on the removal of wood ashes was analyzed. The dusty gas flow was regulated. During the experiment, the average velocity of the cyclone was 16 m/s, and the temperature was 20–50 °C. The current paper presents experimental research results of wood ash removal in an eight-channel cyclone and theoretical methodology for the calculation of airflow parameters and cyclone effectiveness.

Effects of lubricant-fuel mixing on particle emissions in a single cylinder direct injection spark ignition engine

Gasoline direct injection (GDI) engines emit less carbon dioxide (CO2) than port fuel injection (PFI) engines when fossil fuel conditions are the same. However, GDI engines emit more ultrafine particulate matter, which can have negative health effects, leading to particulate emission regulations. To satisfy these regulations, various studies have been done to reduce particulate matter, and several studies focused on lubricants. This study focuses on the influence of lubricant on the formation of particulate matter and its effect on particulate emissions in GDI engines. An instrumented, combustion and optical singe-cylinder GDI engine fueled by four different lubricant-gasoline blends was used with various injection conditions. Combustion experiments were used to determine combustion characteristics, and gaseous emissions indicated that the lubricant did not influence mixture homogeneity but had an impact on unburned fuels. Optical experiments showed that the lubricant did not influence spray but did influence wall film formation during the injection period, which is a major factor affecting particulate matter generation. Particulate emissions indicated that lubricant included in the wall film significantly affected PN emissions depending on injection conditions. Additionally, the wall film influenced by the lubricant affected the overall particle size and its distribution.

New Ways for the Advanced Quality Control of Liquefied Natural Gas

Currently, gas chromatography is the most common analytical technique for natural gas (NG) analysis as it offers very precise results, with very low limits of detection and quantification. However, it has several drawbacks, such as low turnaround times and high cost per analysis, as well as difficulties for on-line implementation. With NG applications rising, mostly thanks to its reduced gaseous emissions in comparison with other fossil fuels, the necessity for more versatile, fast, and economic analytical methods has augmented. This work summarizes the latest advances to determine the composition and physico-chemical properties of regasified liquid natural gas, focusing on infrared spectroscopy-based techniques, as well as on data processing (chemometric techniques), necessary to obtain adequate predictions of NG properties.

ECOLOGIZATION OF PETROCHEMICAL PRODUCTIONS

В свете ухудшающихся экологических условий устанавливаются требования по минимизации сбросов и утилизации опасных отходов предприятий для снижения негативного воздействия на окружающую среду.Нефтехимическую промышленность можно отнести к одному из наибольших источников загрязнений. Объем выбросов предприятий зависит не только от мощности технологического оборудования, его качества, но и от систем очистки сточных вод, отработанных газов и систем утилизации отходов. Каждое предприятие выбрасывает в окружающую среду вещества, которые являются «отпечатком» данного производства. При сохранении основного состава загрязняющих веществ в выбросах и сточных водах этот набор компонентов остается практически одинаковым. Наращивание мощностей производства приводит также к росту количества промышленных отходов, представляющих опасность для окружающей среды. Многие нефтехимические предприятия разрабатывают и внедряют мероприятия, направленные на повышение экологичности производства, что соответствует стратегии устойчивого развития. При этом планируются не только модернизация и усовершенствование технологических процессов, внедрение безотходных и ресурсосберегающих технологий, но и использование современных методов минимизации сбросов. В данной статье на примере крупнотоннажных производств фенола и ацетона, этилена, жироперерабатывающего производства рассмотрены возможные выбросы, загрязняющие воздушный и водные бассейны. Приведен обзор исследований, направленных на выделение ценных компонентов загрязнений и возврата их в технологический цикл или утилизацию, с получением целевых продуктов для дальнейшего использования. Рассмотрены способы, внедрение которых позволит повысить степень очистки газообразных выбросов и сточных вод с технологических установок, и приведет к улучшению экологической обстановки. In light of the deteriorating environmental conditions, requirements are established to minimize discharges and utilize hazardous waste from enterprises to reduce the negative impact on the environment. The petrochemical industry can be attributed to one of the largest sources of pollution. The volume of emissions from enterprises depends not only on the capacity of technological equipment, its quality, but also on wastewater treatment systems, waste gases and waste disposal systems. Each enterprise emits substances into the environment that are the "imprint" of this production. While maintaining the basic composition of pollutants in emissions and wastewater, this set of components remains practically the same. The increase in production capacity also leads to an increase in the amount of industrial waste that is dangerous to the environment. Many petrochemical enterprises develop and implement measures aimed at improving the environmental friendliness of production, which is in line with the strategy of sustainable development. At the same time, it is planned not only to modernize and improve technological processes, to introduce waste-free and resource-saving technologies, but also to use modern methods of minimizing discharges. In this article, using the example of large-scale production of phenol and acetone, ethylene, fat-processing production, possible emissions that pollute the air and water basins are considered. An overview of studies aimed at the isolation of valuable components of pollution and their return to the technological cycle or utilization, with the receipt of target products for further use, is given. Methods are considered, the introduction of which will increase the degree of purification of gaseous emissions and wastewater from technological installations, and will lead to an improvement in the environmental situation.

AN APPLICATION OF MACHINE LEARNING TO SHIPPING EMISSION INVENTORY

The objective of this study is to develop a shipping emission inventory model incorporating Machine Learning (ML) tools to estimate gaseous emissions. The tools enhance the emission inventories which currently rely on emission factors. The current inventories apply varied methodologies to estimate emissions with mixed accuracy. Comprehensive Bottom-up approach have the potential to provide very accurate results but require quality input. ML models have proven to be an accurate method of predicting responses for a set of data, with emission inventories an area unexplored with ML algorithms. Five ML models were applied to the emission data with the best-fit model judged based on comparing the real mean square errors and the R-values of each model. The primary gases studied are from a vessel measurement campaign in three modes of operation; berthing, manoeuvring, and cruising. The manoeuvring phase was identified as key for model selection for which two models performed best.

Influence of Aeration Method on Gaseous Emissions and the Losses of the Carbon and Nitrogen during Cow Manure Composting

The objective of this research was to explore the effects of different aeration methods on NH3 and greenhouse gas (GHG) emissions and the losses of carbon and nitrogen from composting of cow manure and corn stalks in the laboratory-scale reactors. Here, we designed three treatments, including continuous aerated treatment C1 (aeration rates 0.21 L·kg−1 dry matter (DM)·min−1) and intermittent aerated treatments I1 (aeration rates 0.42 L·kg−1 DM·min−1; aerate 10 min, stop 10 min) and I2 (aeration rates 0.84 L·kg−1 DM·min−1; aerate 5 min, stop 15 min). The results showed that the physicochemical parameters (temperature, pH values, and germination index) of composting products met the requirements of maturity and sanitation. Compared with continuous aerated treatment C1, the cumulative NH3 emissions of I1 and I2 treatments decreased by 24.37% and 19.27%, while the cumulative CO2 emissions decreased by 13.01% and 20.72%. On the contrary, the cumulative N2O emissions of I1 and I2 treatments increased by 22.22% and 43.14%. CO2 emission was the principal pathway for the TOC losses, which comprised over 65% of TOC losses. C1 treatment had the highest TOC losses due to its highest cumulative CO2 emissions. The TN losses of I1 and I2 treatments reduced 9.07% and 6.1% compared to C1 treatment, so the intermittent aerated modes could reduce the TN loss. Due to the potential for mitigation of gaseous emissions, I1 treatment was recommended to be used in aerobic composting of cow manure.

Introduction

This chapter sets the stage for a discussion on glacier vulnerability, explaining why it is important and how the author decided to become a cryoactivist (and work to protect the Earth’s frozen environment). It explains the basic relevance of glacier cover on the planet, glaciers’ general location by region of the Earth, and some of the most notorious characteristics of glaciers, their vulnerabilities, and the impacts caused by their accelerating melt, including sea level rise, glacier tsunamis, and ocean and atmospheric warming. The chapter also describes certain invisible subsurface glaciers in the little known and little understood periglacial environment. Finally, it outlines the rest of the book into its respective chapters and subject matter with a brief summary of each topic, covering sea level rise, water supply, albedo (reflectivity), gaseous emissions, glacier tsunamis, and ocean and air current warming, among others.