scholarly journals Analysis of Environmental Benefits of Shore Power for Preventing and Controlling Air Pollution Caused by Vessels at Berth

2018 ◽  
Vol 53 ◽  
pp. 04036 ◽  
Author(s):  
Cheng Jieling ◽  
Li Haibo
Keyword(s):  
Energy Conservation ◽  
Fuel Consumption ◽  
Air Pollutants ◽  
Emission Reduction ◽  
Electric Energy ◽  
Air Pollutant ◽  
Environmental Benefits ◽  
Pollutant Emission ◽  
Current Status ◽  
Fuel Consumption Rate

When vessels are berthed at ports, the air pollutants emitted by auxiliary engines will cause severe pollution to the ports and surrounding environments. In view of this situation, the author first summarizes the Chinese policies and policies of foreign countries on emission of air pollutants from vessels at berth, and then analyses the current status of and measures for control of air pollutant emission from vessels at berth. Secondly, the author analyses the environmental benefits of using shore power for better controlling air pollutant emission from vessels at berth, compares vessels using shore power with vessels using generated power in the energy conservation and emission reduction effects based on the fuel consumption rate of different auxiliary engines and current status of pollutant emission from power generation in China etc., analyses the current status of shore power application in China, estimates the energy conserved and emission reduced when shore power is used by vessels at berth. Thirdly, the author identifies the scale of electric energy replacement by, and environmental benefits of, shore power at ports in China. This paper delivers innovative approaches to the comparison between the effects of energy conservation and emission reduction based on fuel consumption rates of different auxiliary engines and estimation of conserved energy and reduced emission.

scholarly journals Collaborative Governance Mechanism of Climate Change and Air Pollution: Evidence from China

2021 ◽  
Vol 13 (12) ◽  
pp. 6785
Author(s):  
Bing Wang ◽  
Yifan Wang ◽  
Yuqing Zhao
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Synergistic Effect ◽  
Air Pollutants ◽  
Emission Reduction ◽  
Industrial Sector ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Industrial Carbon

Since entering the industrialized era, China’s greenhouse gas emissions and air pollutant emissions have increased rapidly. China is the country with the most greenhouse gas emissions, and it is also facing serious local air pollution problems. China’s industrial sector is the largest contributor to CO2 and air pollutants. The resulting climate change and air pollution issues have caused China to face double pressures. This article uses the CO2 and comprehensive air pollutant emission data of China’s industrial sector as a starting point and uses econometric research methods to explore the synergy between China’s industrial carbon emission reduction and industrial comprehensive air pollutant emission reduction. The synergistic effect between industrial carbon emissions and industrial comprehensive air pollutant emissions has been quantified, and the transmission path of the synergistic effect has been explored. The empirical results show that there are benefits of synergistic governance between climate change and air pollution in China’s industrial sector. Every 1000 tons of carbon reduction in the industrial sector will result in 1 ton of comprehensive air pollutant reduction. The increase in R&D expenditure in the energy and power sector can significantly promote the reduction of air pollutants in the industrial sector. Increasing the intensity of environmental regulations is the main expansion path for synergy. However, in eastern, central, and western China, the synergy is not the same. Therefore, it is necessary to formulate regionally differentiated emission reduction policies. The research conclusions of this article can provide policy references for the coordinated governance of climate change and air pollution in China.

scholarly journals An Air Pollutant Emission Reduction Path of China’s Power Industry

Atmosphere ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 852
Author(s):  
Yue Yu ◽  
Zhi-xin Jin ◽  
Ji-zu Li ◽  
Yu-cheng Wu ◽  
Li Jia
Keyword(s):  
Energy Consumption ◽  
Air Pollutants ◽  
Emission Reduction ◽  
System Optimization ◽  
Power Industry ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Power Demand ◽  
Reduction Cost

In China, as the major source of energy consumption and air pollutant emissions, the power industry is not only the principal force that bears the responsibility of national emission reduction targets but also a breakthrough that reflects the effectiveness of emission reduction. In this study, based on the integrated MARKAL-EFOM system (TIMES) model and scenario analysis method, a bottom-up energy system optimization model for the power industry was established, and four scenarios with different constraints were set up to predict and analyze the power demand and the energy consumption structure. Emission characteristics, emission reduction characteristics, and emission reduction cost of sulfur dioxide (SO2), nitrogen oxide (NOX), particulate matter 2.5 (PM2.5), and mercury (Hg) were quantitatively studied. Finally, for the environmentally friendly development and optimal adjustment of power production systems in China, the control path in the power industry that is conducive to the emission reduction of air pollutants was obtained, which is of great significance for the ultimate realization of climate friendliness. The results demonstrate that from 2020 to 2050, the power demand of the terminal departments will increase, with the composition significantly changed. The focus of power demand will change from industry to the service industry gradually. If no additional targeted emission reduction or adjustment policies are added in the power industry, the primary energy and air pollutant emissions will increase significantly, putting great pressure on resources and the environment. For the emission reduction of air pollutants, the promotion effect of emission reduction measures, such as the implementation and promotion of non-fossil fuels, is restricted. The power industry can introduce and maximize the best available technologies while optimizing the structure of energy consumption to realize efficient emission reduction of air pollutants and energy conservation. In 2030, emissions will reach peak values with reasonable emission reduction cost. This has the additional effect of abating energy consumption and preventing deterioration of the ecological environment, which is of profound significance for the ultimate realization of climate friendliness.

scholarly journals Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gengyu Gao ◽  
Shanshan Wang ◽  
Ruoyu Xue ◽  
Donghui Liu ◽  
He Ren ◽  
...  
Keyword(s):  
Air Pollutants ◽  
Emission Reduction ◽  
Reduction Potential ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Particulate Emissions ◽  
Industrial Parks ◽  
Emission Reduction Potential ◽  
Energy Intensive Industries

AbstractIndustrial parks contribute greatly to China’s economic development while emitting huge air pollutants. It is necessary to study the characteristics of air pollutant emissions in industrial parks. In this study, emission inventories for 11 industrial parks were established. Meanwhile, the source emission and spatial distribution characteristics of the industrial park were analyzed. The cluster analysis was used to classify these parks into “4Hs”, “Mixed” and “4Ls” parks. “4Hs”, “Mixed” and “4Ls” represent that the levels of energy intensity, economic proportion of energy-intensive industries, coal proportion and pollution performance value are high, medium and low in turn. Then three emission reduction measures were set up to estimate the emission reduction potential and environmental impacts. The results show that: (1) the emissions of SO2, NOx, CO, PM10, PM2.5, VOCs and NH3 of 11 industrial parks in 2017 were 11.2, 23.1, 30.8, 8.3, 3.5, 5.1, and 1.1 kt, respectively. (2) Power plants were the largest source of SO2 and NOx emissions, and industrial processes were the largest emission source of CO, PM10, PM2.5, VOCs and NH3. (3) “4Hs” parks with traditional energy-intensive industries as the leading industries should be the emphasis of air pollutant emission reduction. (4) Through the optimal emission reduction measures, SO2, NOx, PM10, PM2.5 and VOCs were reduced by 81, 46, 51, 46 and 77%, respectively. Environmental impact reductions include 1.6 kt SO2eq acidified gas emissions, 1.4 kt PO43−eq eutrophication substances, 4.2 kt PM10eq atmospheric particulate emissions, 7.0 kt 1,4-DCEeq human toxic substances, and 5.2 kt PM2.5 eq breathing Inorganic. This study is helpful to understand the characteristics of air pollutants emissions in industrial parks and promotes the proposal and implementation of air pollutant emissions reduction strategies.

scholarly journals 170 Social and Environmental Benefits of Virtual Fracture Clinics in Trauma and Orthopaedic Surgery: Reduced Patient Travel Time, Patient Cost and Air Pollutant Emissions

2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
J Fort ◽  
H Hughes ◽  
U Khan ◽  
A Glynn
Keyword(s):  
Travel Time ◽  
Fuel Consumption ◽  
Travel Distance ◽  
Air Pollutant ◽  
Environmental Benefits ◽  
Pollutant Emissions ◽  
Patient Cost ◽  
Travel Costs ◽  
Patient Travel ◽  
Travel Burden

Abstract Aim Several papers have analysed the clinical benefits and safety of Virtual Fracture Clinics (VFCs). A significant increase in the use of Trauma and Orthopaedic (T&O) VFCs was seen during the COVID-19 pandemic. This study aims to investigate the social impact of VFCs on the travel burden and travel costs of T&O patients, as well as the potential environmental benefits in relation to fuel consumption and travel-related pollutant emissions. Method All patients referred for T&O VFC review from March 2020 to June 2020 were retrospectively analysed. The travel burden and environmental impacts of hypothetical face-to-face consultations were compared with these VFC reviews. The primary outcomes measured were patient travel time saved, patient travel distance saved, patient cost savings and reduction in air-pollutant emissions. Results Over a four-month period, 1359 VFC consultations were conducted. The average travel distance saved by VFC review was 88.6 kilometres (range 3.3-615), with an average of 73 minutes (range 9-390) of travel-time saved. Patients consumed, on average, 8.2 litres (range 0.3-57.8) less fuel and saved an average of €11.02 (range 0.41-76.59). The average reduction in air-pollutant vehicle emissions, including carbon dioxide, carbon monoxide, nitric oxides and volatile organic compounds was 20.3 kilograms (range 0.8-140.8), 517.3 grams (g) (range 19.3-3592.3), 38.1g (range 1.4-264.8) and 56.9g (range 2.1-395.2), respectively. Conclusions VFCs reduce patient travel distance, travel time and travel costs. In addition, VFCs confer significant environmental benefits through reduced fuel consumption and reduction of harmful environmental emissions.

scholarly journals Policy Performance of Green Lighting Industry in China: A DID Analysis from the Perspective of Energy Conservation and Emission Reduction

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5855
Author(s):  
Kan Wang ◽  
Li Lei ◽  
Shuai Qiu ◽  
Sen Guo
Keyword(s):  
Energy Conservation ◽  
Emission Reduction ◽  
High Efficiency ◽  
Evaluation Model ◽  
Policy Support ◽  
Policy Framework ◽  
Current Status ◽  
Policy Performance ◽  
Lighting Industry ◽  
The Difference

As a component of China’s strategic emerging industries, green lighting is an important industry supporting the high-quality and high-efficiency development of China’s economy, and is also an important way to achieve energy conservation and emission reduction. At present, China has basically established a policy framework to promote the development of green lighting industry, but there is no empirical evidence on the performance of existing policies on energy conservation and emission reduction. Based on the development status of China’s green lighting industry, this paper sorts out the milestones of China’s green lighting industry policy and the current status of the framework of the existing green lighting industry development policies, constructs a policy performance evaluation model for China’s green lighting industry based on the difference-in-difference (DID) model, and evaluates the implementation effects of green lighting industry policies in China from the perspective of energy conservation and emission reduction. The empirical results of China’s 85 cities show that the implementation of green lighting industry policies has significantly promoted regional energy conservation and emission reduction. Finally, this paper puts forward targeted policy recommendations to provide policy support for the transformation of China’s green lighting industry from “large” to “strong”.

Fuzzy Comprehensive Evaluation on the Thermal Power Plants’ Ability of Energy Conservation and Emission Reduction

2011 ◽  
Vol 281 ◽  
pp. 211-214
Author(s):  
He Rui Cui ◽  
Lu Chen ◽  
Da Fang Qiu
Keyword(s):  
Energy Conservation ◽  
Energy Saving ◽  
Emission Reduction ◽  
Power Plants ◽  
Comprehensive Evaluation ◽  
Thermal Power ◽  
Fuzzy Comprehensive Evaluation ◽  
Pollutant Emission ◽  
Thermal Power Plants ◽  
Specific Implementation

Thermal power industry promotes economic development in a high speed, and it also brings the problem of resources and the environment. Building the evaluation index system of the thermal power plants’ ability of energy saving and emission reduction, we made use of the analytic hierarchy process to determine the weight. And the fuzzy comprehensive evaluation was applied to a thermal power plant in Shandong Province. We obtain following conclusion: the primer factor which confines its ability of energy conservation and emission reduction is pollutant emission. On this basis, we put forward the specific implementation measures from fiscal policy, tax policy and monetary policy, aim is to accelerate the development of China’s energy saving and emission reduction.

Optimizing water delivery system storage and its influence on air pollutant emission reduction

2013 ◽  
Author(s):  
Steven X. Jin ◽  
Carrie Loya-Smalley ◽  
Eric Tucker ◽  
Awni Qaqish ◽  
Carol J. Miller ◽  
...  
Keyword(s):  
Delivery System ◽  
Emission Reduction ◽  
Air Pollutant ◽  
Pollutant Emission ◽  
Water Delivery

scholarly journals Quantifying Air Pollutant Emission from Agricultural Machinery Using Surveys—A Case Study in Anhui, China

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 440
Author(s):  
Yi Ai ◽  
Yunshan Ge ◽  
Zheng Ran ◽  
Xueyao Li ◽  
Zhibing Xu ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Road Traffic ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Agricultural Machinery ◽  
Activity Data ◽  
Road Traffic Emissions ◽  
Using Data

Diesel-powered agricultural machinery (AM) is a significant contributor to air pollutant emissions, including nitrogen oxides (NOx) and particulate matter (PM). However, the fuel consumption and pollutant emissions from AM remain poorly quantified in many countries due to a lack of accurate activity data and emissions factors. In this study, the fuel consumption and air pollutant emission from AM were estimated using a survey and emission factors from the literature. A case study was conducted using data collected in Anhui, one of the agricultural provinces of China. The annual active hours of AM in Anhui ranged 130 to 175 h. The estimated diesel fuel consumption by AM was 1.45 Tg in 2013, approximately 25% of the total diesel consumption in the province. The air pollutants emitted by AM were 57 Gg of carbon monoxide, 14 Gg of hydrocarbon, 74 Gg of NOx and 5.7 Gg of PM in 2013. The NOx and PM emissions from AM were equivalent to 17% and 22% of total on-road traffic emissions in Anhui. Among nine types of AM considered, rural vehicles are the largest contributors to fuel consumption (31%) and air emissions (33–45%).

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