scholarly journals Soil Bio-Impact Effectiveness for the Optimal Multicriterial Environmental Sustainability in Crop Production

Agronomy ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 72
Author(s):  
Vilma Naujokienė ◽  
Daiva Rimkuvienė ◽  
Egidijus Šarauskis
Keyword(s):  
Soil Moisture ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Fuel Consumption ◽  
Experimental Research ◽  
Total Porosity ◽  
Optimal Decision ◽  
Soil Stability ◽  
Plant Residues ◽  
Multicriteria Assessment

Different bio-impacts affect the various properties and composition of soil, plant residues, harvests, and technological processes, as well as the interactions between different parts of the soil, working machine tools, energy consumption and environmental pollution with harmful gases. To summarize the wide-coverage investigations of various aspects of different bio-impact parameters, a multicriteria evaluation was conducted. Experimental research shows that different bioeffects such as those of agricultural practices can be oriented towards a reduction in fuel consumption, followed by reductions in CO2 emissions from machinery and changes in soil properties, dynamics of composition, yield and other parameters. A multicriteria assessment of the essential parameters would give farmers new opportunities to choose one optimal decision for reducing fuel consumption and increasing agricultural production, thereby reducing the negative environmental impact of soil cultivation processes, increasing yields and improving soil. Of all the properties investigated, from a practical point of view, the selection of the most important of all the essential links, such as reducing energy and expenditure, reducing environmental pollution, improving soil, and increasing yields and productivity, is reasonable. The evaluation of the bio-impact effects in agriculture by accounting for many criteria from several aspects was the main objective of the multicriteria assessment using the analytic hierarchy process. Based on the results of a multivariable research of fuel consumption—C1, C2, yield—C3, CO2 from soil—C4, density—C5, total porosity—C6, humus—C7, soil stability—C8, and soil moisture content—C9, the evaluation used experimental research data and the Simple Additive Weighting (SAW) mathematical method to find the best-case scenario. Multicriteria effectiveness was most pronounced after the first and third soil bio-impacts by using a solution of essential oils of plants, 40 species of various herbs extracts, marine algae extracts, mineral oils, Azospirillum sp. (N), Frateuria aurentia (K), Bacillus megaterium (P), seaweed extract. The most important goal was to achieve the best soil bio-impact effectiveness—minimized energy consumption from ploughing and disc harrowing operations, parallelly minimized harmful emissions from agricultural machinery, minimized CO2 from soil, soil density, maximized soil total porosity, soil humus, soil stability, yield and optimized soil moisture.

scholarly journals Influence of Biopreparations on Soil and Crop Residue Properties, Traction Force of Machines in Shallow Tillage

2021 ◽  
Vol 11 (13) ◽  
pp. 6018
Author(s):  
Kristina Lekavičienė ◽  
Vilma Naujokienė ◽  
Egidijus Šarauskis ◽  
Algirdas Jasinskas
Keyword(s):  
Energy Consumption ◽  
Winter Wheat ◽  
Physical Properties ◽  
Crop Production ◽  
Crop Residue ◽  
Traction Force ◽  
Total Porosity ◽  
Soil Porosity ◽  
Plant Residues ◽  
Positive Effect

Solving traction force and energy consumption problem in crop production, the use of strategically selected bioproducts can change the physical properties of the soil and influence changes in the traction force during tillage technological operations. The aim of this work was to investigate the influence of different biopreparations on the physical properties of the soil, winter wheat residues and the machine traction force during shallow tillage. In spring, after the resumption of winter wheat vegetation, seven different biopreparations and their mixtures were used. In autumn, after the harvest, studies of plant residues and soil porosity and density were performed prior to shallow tillage. The traction force of the tractor when working the soil shallowly was determined at 3 driving velocities—8, 10 and 12 km h−1. Research has shown a positive effect of biopreparations on the total porosity, density, and traction force of the machine. However, biopreparations did not significantly affect the cutting force of winter wheat residues. Biopreparations can reduce the traction force in shallow tillage due positive changes soil properties.

A Discussion of Bad Driving Habit to the Fuel Loss of Vehicle

2014 ◽  
Vol 1010-1012 ◽  
pp. 1835-1838
Author(s):  
Xin Wang ◽  
Zhong Yao ◽  
Yan Bai ◽  
Yong Chao Shen
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Fuel Consumption ◽  
Practical Significance ◽  
Environment Pollution ◽  
Reduce Fuel Consumption ◽  
Oil Consumption ◽  
Fuel Loss ◽  
Driving Skill ◽  
China’S Economy

According to the Twelfth Five-year Program, China is a big energy consumption country and the energy shortages have constrained the development of China's economy. Of all the energy, one third is used by vehicles. More than 10 million barrels of oil is needed a day due to the new vehicles annually. While only in Beijing the bad driving habit will lead to three billion liters of oil consumption per year. Besides, the emission of vehicles is also the mainly resource of environmental pollution. Recently, many place of our country has thick frog and haze which has something to do with the increasing vehicles. In this paper, we’ll describe bad driving habit and explain how they lead to fuel consumption and environment pollution in detail through theoretical analyze and experiment. By guiding drivers using proper driving skill can not only reduce fuel consumption but also protect our environment which has practical significance.

scholarly journals An Improved Forecasting Method and Application of China’s Energy Consumption under the Carbon Peak Target

2021 ◽  
Vol 13 (15) ◽  
pp. 8670
Author(s):  
Xiwen Cui ◽  
Shaojun E ◽  
Dongxiao Niu ◽  
Dongyu Wang ◽  
Mingyu Li
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Optimization Methods ◽  
Support Vector ◽  
The Sustainable Development ◽  
Consumption Data ◽  
Forecasting Method ◽  
Forecasting Performance ◽  
Carbon Peak

In the process of economic development, the consumption of energy leads to environmental pollution. Environmental pollution affects the sustainable development of the world, and therefore energy consumption needs to be controlled. To help China formulate sustainable development policies, this paper proposes an energy consumption forecasting model based on an improved whale algorithm optimizing a linear support vector regression machine. The model combines multiple optimization methods to overcome the shortcomings of traditional models. This effectively improves the forecasting performance. The results of the projection of China’s future energy consumption data show that current policies are unable to achieve the carbon peak target. This result requires China to develop relevant policies, especially measures related to energy consumption factors, as soon as possible to ensure that China can achieve its peak carbon targets.

Analysis of energy consumption and emission of the heterogeneous traffic flow consisting of traditional vehicles and electric vehicles

2017 ◽  
Vol 31 (34) ◽  
pp. 1750324 ◽  
Author(s):  
Hong Xiao ◽  
Hai-Jun Huang ◽  
Tie-Qiao Tang
Keyword(s):  
Energy Consumption ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Traffic Flow ◽  
Small Perturbation ◽  
Electric Vehicles ◽  
Electricity Consumption ◽  
Heterogeneous Traffic ◽  
Rarefaction Waves ◽  
Fuel Consumption And Emissions

Electric vehicle (EV) has become a potential traffic tool, which has attracted researchers to explore various traffic phenomena caused by EV (e.g. congestion, electricity consumption, etc.). In this paper, we study the energy consumption (including the fuel consumption and the electricity consumption) and emissions of heterogeneous traffic flow (that consists of the traditional vehicle (TV) and EV) under three traffic situations (i.e. uniform flow, shock and rarefaction waves, and a small perturbation) from the perspective of macro traffic flow. The numerical results show that the proportion of electric vehicular flow has great effects on the TV’s fuel consumption and emissions and the EV’s electricity consumption, i.e. the fuel consumption and emissions decrease while the electricity consumption increases with the increase of the proportion of electric vehicular flow. The results can help us better understand the energy consumption and emissions of the heterogeneous traffic flow consisting of TV and EV.

scholarly journals Design and Technical Analysis of HVAC Ventilation System in Green Building

2021 ◽  
Vol 261 ◽  
pp. 03039
Author(s):  
Jiawen Zhang
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Construction Projects ◽  
Ventilation System ◽  
Tall Buildings ◽  
Green Building ◽  
Green Energy ◽  
Efficient Operation ◽  
Design Requirements ◽  
Reduce Energy Consumption

In recent years, the construction industry has developed rapidly, and there are more and more urban construction projects. The corresponding design requirements for HVAC systems are also getting higher and higher. HVAC has been widely used in all kinds of buildings. While providing convenience for people, environmental pollution has gradually become a topic of concern for people. Therefore, when designing the HVAC system, HVAC not only meets the needs of customers, but also uses green energy saving technology to reduce energy consumption as far as possible. Reduce environmental pollution, so that the HVAC ventilation system of tall buildings can be in a stable and efficient operation state. Improve the operation effect of air conditioning, while reducing energy consumption.

scholarly journals 1 DESIGN OF MODULAR ARCHITECTURE FOR EV AND HEV FOR PASSENGER CARS

2021 ◽  
Author(s):  
Midhun Muraleedharan ◽  
◽  
Amitabh Das ◽  
Dr. Mohammad Rafiq Agrewale ◽  
Dr. K.C. Vora ◽  
...  
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Fuel Consumption ◽  
Modular Architecture ◽  
Passenger Cars ◽  
Passenger Car ◽  
Vehicle Performance ◽  
Matlab Simulink ◽  
System Designer ◽  
Battery Energy

Hybridization is important to obtain the advantages of both the engine and motor as the sources of propulsion. This paper discusses the effect of hybridization of powertrain on vehicle performance. The Hybrid architectures are differentiated on the basis percentage of power dependency on the engine and motor. Passenger car with hybridization ratios of 20%, 40%, 60%, 80% and 100% are modelled on MATLAB/Simulink using the backward facing approach with the engine and motor specifications remaining constant. The hybridizations ratios and the energy consumption in terms of fuel and battery energy are obtained from the model and compared. Neural network is implemented to determine the fuel consumption. The outputs can be used by a system designer to determine a desirable hybridization factor based on the requirements dictated by the specific application.

scholarly journals ANALYSIS OF THE CAUSALITY OF CO2 EMISSIONS, CONSUMPTION OF FOSSIL FUELS, ELECTRICITY CONSUMPTION, AND ECONOMIC GROWTH IN INDONESIA IN 1990-2019

2019 ◽  
Vol 4 (02) ◽  
pp. 113
Author(s):  
Melati Intan Kurnia ◽  
Hadi Sasana ◽  
Yustirania Septiani
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Electricity Consumption ◽  
Negative Influence ◽  
Fossil Fuel Consumption

<p><em>Increasing economic growth will spark against increased energy consumption. But on the other hand, increasing economic growth will also trigger the occurrence of natural damage and degradation of environmental quality derived from CO2 emissions. CO2 emissions are caused by oxidation process of fossil fuel energy. This research aims to know the causality relationship between CO2 emissions, fossil fuel consumption, electricity consumption, and economic growth in Indonesia, as well as long-term relationship between CO2 emissions, fossil fuel consumption, electricity consumption, to economic growth in Indonesia in 1990 – 2019. The used data is the secondary data that is in the form of data time series. The dependent variables of this study are economic growth, while independent variables are CO2 emissions, fossil fuel consumption, electricity consumption. The method that is used in this study is Vector Error Correction Model. The results showed that there was a one-way causality between economic growth and fossil fuel consumption, and between electricity consumption and CO2 emissions. The research also shows that on long-term CO2 emissions has a negative influence, while the consumption of fossil fuels and electricity has a positive effect on Indonesia's economic growth in 1990-2019.</em></p><p><strong><em>K</em></strong><strong><em>eywords</em></strong><em>: CO2, Energy Consumption, Economic Growth.</em></p>

scholarly journals Environmental and Agriculture Benefits of Direct Seeding of Wheat in Setif High Plains (North East of Algeria)

2011 ◽  
Vol 68 (1) ◽  
Author(s):  
Mohamed FENNI ◽  
Mustapha BOUNECHADA
Keyword(s):  
Environmental Pollution ◽  
Fuel Consumption ◽  
Direct Seeding ◽  
High Plains ◽  
North East

Direct seeding of wheat in the Setif region reduces fuel consumption and machinery. It enables also the rehabilitation soil and the reduction of environmental pollution.

Sign in / Sign up

Export Citation Format

Share Document