Emissions of greenhouse gases from energy use in agriculture, forestry and fisheries: 1970–2019

Fossil-fuel based energy use in agriculture leads to CO2 and non-CO2 emissions. We focus on emissions generated within the farm gate for crop and livestock production and from fisheries, providing information relative to the period 1970–2019 for both energy use and the associated greenhouse gas (GHG) emissions. Country-level information is generated from UNSD and IEA data on energy in agriculture, forestry and fishing, relative to use of: gas/diesel oil, motor gasoline, liquefied petroleum gas (LPG), natural gas, fuel oil and coal. Electricity used within the farm gate is also quantified, while recognizing that the associated emissions are generated elsewhere. We find that in 2019, annual emissions from energy use in agriculture were about 523 million tonnes (Mt CO2eq yr−1), and up to 1,029 Mt CO2eq yr−1 when including electricity. They increased 7 % since 1990. The largest emission increases from on-farm fuel combustion were from LPG (32 %), whereas significant decreases were observed for coal (−55 %), natural gas (−50 %), motor gasoline (−42 %) and fuel oil (−37 %). Conversely, use of electricity and the associated indirect emissions increased three-fold over the 1990–2019 period, thus becoming the largest emission source from energy use in agriculture since 2005. Overall the global trends were a result of counterbalancing effects: marked decreases in developed countries in 2019 compared to 1990 (−273 Mt CO2eq yr−1) were masked by slightly larger increases in developing and emerging economies (+339 Mt CO2 eq yr−1). The information used in this work is available as open data at: https://zenodo.org/record/5153241 (Tubiello and Pan, 2021). The relevant FAOSTAT (FAO, 2021) emissions database is maintained and updated annually by FAO.

Bottlenecks in the Development of Bioethanol from Lignocellulosic Resources for the Circular Economy in Taiwan

Strategies and actions for mitigating the emissions of greenhouse gas (GHG) and air pollutants in the transportation sector are becoming more important and urgent due to concerns related to public health and climate change. As a result, the Taiwanese government has promulgated a number of regulatory measures and promotion plans (or programs) on bioethanol use, novel fermentation research projects and domestic production since the mid-2000s. The main aim of this paper was to present a trend analysis of the motor gasoline supply/consumption and bioethanol supply, and the regulatory system relevant to bioethanol production and gasohol use since 2007 based on the official database and the statistics. The motor gasoline supply has shown a decreasing trend in the last five years (2016–2020), especially in 2020, corresponding to the impact of the COVID-19 outbreak in 2020. Although the government provided a subsidy of NT$ 1.0–2.0 dollars per liter for refueling E3 gasohol based on the price of 95-unleaded gasoline, the bioethanol supply has shown decreasing demand since 2012. In addition, the plans for domestic bioethanol production from lignocellulosic residues or energy crops were ceased in 2011 due to non-profitability. To examine the obstacles to bioethanol promotion in Taiwan, the bottlenecks to bioethanol production and gasohol use were addressed from the perspectives of the producer (domestic enterprise), the seller (gas station) and the consumer (end user).

Forecasting the Demand of Oil in Ghana: A Statistical Approach

Oil plays a vital role in the economic growth and sustainability of industries and their corporations. The current study sought to forecast oil demand in Ghana for the next decade. The variables analyzed in this study were Petroleum and other liquids, motor gasoline, distillate fuel, and liquefied petroleum gases (LPG). The study utilized three univariate models; thus, linear regression, exponential regression, and exponential smoothing for forecasting various oil components. The linear regression model was deemed a better fit for the analysis of most of the variables. Furthermore, the findings revealed that the LPG growth rate is faster and requires less time to double in numbers than the other energy sources. Also, the exponential smoothing model was ineffective and inefficient. Overall, the demand for oil components analyzed will follow an increasing pattern from 2017 to 2027.

CORRELATION AND REGRESSION ANALYSIS OF THE AUTOMOTIVE GASOLINE MARKET

Purpose of the study: to identify the factors affecting the volume of production of motor gasoline. Research methods: analysis and synthesis, systematic approach, as well as methods of correlation and regression analysis. Results of the research: A methodological approach to the use of tools for correlation and regression analysis of the gasoline market is proposed, which includes the following stages: 1) formation of a data array; 2) carrying out correlation analysis, building a correlation matrix, selecting factors into the model using the Correlation tool in the Data Analysis package of MS Excel; 3) conducting a regression analysis, constructing a regression equation, substantiating the obtained dependence using the "Regression" tool in the "Data Analysis" MS Excel package, calculating the elasticity coefficients. It is proposed to use the volume of production of motor gasoline as effective in carrying out the correlation-regression analysis and constructing mathematical models. Among the dependent variables and factors affecting the volume of production of motor gasoline, it is proposed to use variables that characterize four groups of factors: resource (raw material) limitations (the volume of oil production and refining), production capabilities of the industry (through the depth of oil refining and the yield of light oil products that characterize production capacity and set of installations in the industry), price attractiveness of the market (prices of producers and consumers of motor gasoline, world oil prices), export attractiveness (volume and value of exports). Multivariate economic and statistical models of the dependence of the volume of production of motor gasoline on a number of factors have been developed. Based on the results of calculations, a strong correlation was revealed between the volume of production of motor gasoline and the values of primary oil refining, oil production, and export of motor gasoline. The predicted values are located as close as possible to the residual values, which indicates that the resulting regression equation has a high degree of accuracy. Research prospects: the research results can be used to identify significant factors in the development of the motor gasoline market in the Russian Federation.

Modification of motor gasoline with bioethanol in the cavitation field

The article presents the results of the study on the influence of bioethanol content and parameters of cavitation field on the octane number of motor natural gasoline. The effects of the parameters of cavitation field on the modification of fuel and the changes of qualitative and quantitative composition of gasoline were investigated. The influence of the content of a biocomponent on the increase in the octane number was established. It was stated that the problem of the phase separation in alcohol-gasoline mixture can be solved by means of dynamic cavitation. The paper presents the results of the study of the change of octane number as a function of the intensity of cavitation treatment for gas condensate gasoline with addition of bioethanol. The physical stability of gas condensate and bioethanol mixture after cavitation treatment is investigated. It was shown that the gas condensate gasoline modified with bioethanol and cavitation field can be used as a high-quality motor gasoline. It was stated that low-octane gas condensate gasoline can be transformed into high-quality motor fuel by means of modification with bioethanol in the cavitation field. It was established that the alcohol-gasoline cavitation treatment leads to the homogenization and provides at least 30 days' mixture stability before separation. With increasing bioethanol content in the mixture, the number of cavitation cycles (intensity) required to achieve a constant octane number value decreases from 8 cycles for gas condensate gasoline without bioethanol to 4 cycles at the content of bioethanol of 3% and above.