scholarly journals Optimization Model of Carbon Footprint of Fresh Products in Cold Chain from the Energy Conservation and Emission Reduction Perspective

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Bin Hu ◽  
Bangtong Huang ◽  
Zheng Liu ◽  
Hangxin Guo ◽  
Zihong Chen ◽  
...  
Keyword(s):  
Energy Conservation ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Optimization Model ◽  
Emission Reduction ◽  
Cold Chain ◽  
Logistics Industry ◽  
Depth Analysis ◽  
The Government ◽  
Fresh Products

The carbon footprint of the cold chain logistics system refers to the greenhouse gas emissions directly or indirectly caused in each link of the cold chain logistics activities. Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissions in the field of cold chain logistics plays an important role in energy conservation and emission reduction. Based on the in-depth analysis of the carbon footprint of cold chain logistics, this paper introduces the distance coefficient and freshness parameters into the optimization model innovatively and uses the life cycle assessment method and input-output method to determine the calculation range of the carbon footprint of fresh products of each link in the cold chain logistics. The system calculates the carbon emissions generated by the production and operation activities of each place of origin, distribution center, retailer, and waste disposal during the circulation of fresh products. This paper establishes a carbon footprint optimization model to discuss how to balance carbon constraints and minimized costs. Through the analysis of the simulation results, from the perspective of the government and enterprises, corresponding countermeasures are put forward to more effectively achieve the goal of energy conservation and emission reduction and guide the cold chain logistics industry to sustainable development.

scholarly journals Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1810
Author(s):  
Kaitong Xu ◽  
Haibo Kang ◽  
Wei Wang ◽  
Ping Jiang ◽  
Na Li
Keyword(s):  
Life Cycle ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Composite Beams ◽  
Total Carbon ◽  
Construction Process ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
The Government

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

Research on the Energy Conservation and Emission Reduction Technologies in First Washing Wastewater

2015 ◽  
Vol 1096 ◽  
pp. 12-15
Author(s):  
Ying Han Yu ◽  
Guan Hua Yue ◽  
Qi Wang
Keyword(s):  
Waste Water ◽  
Energy Consumption ◽  
Water Treatment ◽  
Energy Conservation ◽  
Water Consumption ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Waste Water Treatment ◽  
Washing Wastewater ◽  
Reducing Energy

In recent years, large amounts of wastewater are mostly discharged directly to environment without being properly treatment in many washing industry, bringing tremendous damage to the environment. From the perspective of reducing energy consumption of washing waste water treatment, the first washing wastewater containing the highest pollutant concentration are tested properly, the second and third washing wastewater could be recycled. In this research, the treatment effects of six coagulants are tested, the appropriate coagulant and an economic treatment scheme of first washing wastewater are developed according to the characteristics of wastewater. Adopting the method of centralized treatment, by which we can reduce water consumption and carbon emissions and can be used in the small and medium-sized enterprise of washing industry.

scholarly journals Optimal Decisions for Two Risk-Averse Competitive Manufacturers under the Cap-and-Trade Policy and Uncertain Demand

2020 ◽  
Vol 17 (3) ◽  
pp. 1010 ◽  
Author(s):  
Hongxia Sun ◽  
Jie Yang ◽  
Yang Zhong
Keyword(s):  
Decision Making ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Rate ◽  
Risk Averse ◽  
Cap And Trade ◽  
Carbon Emission Reduction ◽  
Optimal Decisions ◽  
The Government

With the increasingly serious problem of environmental pollution, reducing carbon emissions has become an urgent task for all countries. The cap-and-trade (C&T) policy has gained international recognition and has been adopted by several countries. In this paper, considering the uncertainty of market demand, we discuss the carbon emission reduction and price policies of two risk-averse competitive manufacturers under the C&T policy. The two manufacturers have two competitive behaviors: simultaneous decision making and sequential decision making. Two models were constructed for these behaviors. The optimal decisions, carbon emission reduction rate, and price were obtained from these two models. Furthermore, in this paper the effects of some key parameters on the optimal decision are discussed, and some managerial insights are obtained. The results show that the lower the manufacturers’ risk aversion level is, the higher their carbon emission reduction rate and utilities. As the carbon quota increases, the manufacturers’ optimal carbon reduction rate and utilities increase. Considering consumers’ environmental awareness, it is more beneficial for the government to reduce the carbon quota and motivate manufacturers’ internal enthusiasm for emission reduction. The government can, through macro control of the market, make carbon trading prices increase appropriately and encourage manufacturers to reduce carbon emissions.

Impact of carbon permit allocation rules on incentive contracts for carbon emission reduction

Kybernetes ◽  
2018 ◽  
Vol 49 (4) ◽  
pp. 1143-1167 ◽  
Author(s):  
Qinqin Li ◽  
Yujie Xiao ◽  
Yuzhuo Qiu ◽  
Xiaoling Xu ◽  
Caichun Chai
Keyword(s):  
Carbon Emissions ◽  
Cost Sharing ◽  
Emission Reduction ◽  
Revenue Sharing ◽  
Content Type ◽  
Allocation Rules ◽  
Permit Allocation ◽  
Revenue Sharing Contract ◽  
The Government ◽  
The Cost

Purpose The purpose of this paper is to examine the impact of carbon permit allocation rules (grandfathering mechanism and benchmarking mechanism) on incentive contracts provided by the retailer to encourage the manufacturer to invest more in reducing carbon emissions. Design/methodology/approach The authors consider a two-echelon supply chain in which the retailer offers three contracts (wholesale price contract, cost-sharing contract and revenue-sharing contract) to the manufacturer. Based on the two carbon permit allocation rules, i.e. grandfathering mechanism and benchmarking mechanism, six scenarios are examined. The optimal price and carbon emission reduction decisions and members’ equilibrium profits under six scenarios are analyzed and compared. Findings The results suggest that the revenue-sharing contract can more effectively stimulate the manufacturer to reduce carbon emissions compared to the cost-sharing contract. The cost-sharing contract can help to achieve the highest environmental performance, whereas the implementation of revenue-sharing contract can attain the highest social welfare. The benchmarking mechanism is more effective for the government to prompt the manufacturer to produce low-carbon products than the grandfathering mechanism. Although a loose carbon policy can expand the total emissions, it can improve the social welfare. Practical implications These results can provide operational insights for the retailer in how to use incentive contract to encourage the manufacturer to curb carbon emissions and offer managerial insights for the government to make policy decisions on carbon permit allocation rules. Originality/value This paper contributes to the literature regarding to firm’s carbon emissions reduction decisions under cap-and-trade policy and highlights the importance of carbon permit allocation methods in curbing carbon emissions.

Research of Calculating Corrugated Board Carbon Footprint Based on Energy Conservation

2012 ◽  
Vol 200 ◽  
pp. 524-527
Author(s):  
He Nian ◽  
Xiao Min Wang ◽  
Xiao Juan Shi
Keyword(s):  
Energy Conservation ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Heat Balance ◽  
Production Line ◽  
Emission Factor ◽  
Carbon Emission ◽  
Corrugated Board ◽  
Indirect Emission ◽  
The Heat Balance

Based on the energy conservation, calculate the carbon footprint of single wall corrugated boards. By calculating the heat balance of each unit in the corrugated board production line, the steam quantity of each unit was calculated and translated into direct carbon emissions; indirect carbon emission was calculated by the electric carbon emission factor. Evaluates to: producing quantitative 140/110/170(g/m2) single wall board for 100m2, the direct and indirect emission of CO2 is 25.4kg and 9.4kg.

scholarly journals Optimization Model of Emission Reduction Benefits Based on Integrated Development of Electric Vehicle and Power Grid

2021 ◽  
Author(s):  
Zhao Jia ◽  
Fang Haifeng ◽  
Zhu Yueyan ◽  
Li Yueke ◽  
Chen Yisong ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Carbon Emissions ◽  
Automobile Industry ◽  
Optimization Model ◽  
Emission Reduction ◽  
Large Scale ◽  
Power Grid ◽  
Storage Unit ◽  
Integrated Development ◽  
Power Load

Under the goal of carbon peak and carbon neutrality, the carbon emission reduction of the automobile industry has attracted more and more attention in recent years. Electric vehicle has the dual attributes of power load and energy storage unit. With the increase of the number of electric vehicles, reducing carbon emissions through the collaborative interaction between electric vehicle and power network will become an important way to control carbon emissions in the automotive field. In this study, an optimization model of emission reduction benefits based on integrated development of electric vehicle and power grid is proposed, which explores the best technical way of synergy between power grid and electric vehicle, achieves the best carbon reduction effect and provides a model basis for large-scale demonstration application. Numerical simulations based on the real case in Beijing are conducted to validate the effectiveness of the proposed method.

scholarly journals Differential Pricing and Emission Reduction in Remanufacturing Supply Chains with Dual-Sale Channels under CCT-Mechanism

2020 ◽  
Vol 12 (19) ◽  
pp. 8150 ◽  
Author(s):  
Kaifu Yuan ◽  
Guangqiang Wu ◽  
Hui Dong ◽  
Bo He ◽  
Dafei Wang
Keyword(s):  
Supply Chain ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Emission Control ◽  
Profit Maximization ◽  
Coordination Mechanism ◽  
Control Coefficient ◽  
Supply Chain System ◽  
Optimal Decisions ◽  
The Government

In order to make optimal decisions for pricing and emission reduction, a remanufacturing supply chain system with dual-sale channels is investigated. With regard to the preferences of consumers for different channels and carbon cap-and-trade mechanisms, profit-maximization models are developed on supply chain members and systems in decentralized and centralized cases. Based on a backward induction, the corresponding formulae for decision variables are obtained. Then the effect of the industry emission control coefficient is analyzed and the optimal decisions of two cases are compared. Finally, the coordination mechanism and numerical analysis are presented. The result indicates that: (1) As the free carbon allowances granted by the government to the manufacturer increases, the investment in carbon reduction from the manufacturer will increase. As the industry emission control coefficient increases, the carbon emissions per product and the prices of new and remanufactured products will decrease, while the demands of the new and remanufactured products and the profits of supply chain members and systems will increase. (2) As the direct sale channel preference coefficient increases, the profits of the manufacturer and the system will increase while the retailer’s profit will decrease. Correspondingly, the carbon emissions of unit product will decrease, and the sales of the direct sale channel will increase while the sales of the retail channel will decrease. (3) The decision in the coordinated case not only ensures emission reduction and system profit to reach the level of the centralized case, but also raises the profits of supply chain members in the decentralized case. Therefore, it is preferable to other decisions. (4) As the carbon trading price increases, the emission reduction investment from the manufacturer will increase while the profits of the supply chain and its members will increase.

Application of Lagrange Interpolation Algorithm in Beijing Carbon Emissions Prediction

2014 ◽  
Vol 1010-1012 ◽  
pp. 1844-1849
Author(s):  
Mo Yu Wang ◽  
Yan Yan Wang ◽  
Xiao Liu Shen
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Lagrange Interpolation ◽  
Interpolation Algorithm ◽  
Beijing City ◽  
Depth Analysis ◽  
The Government ◽  
Matlab Programming ◽  
The Relationship

Based on the depth analysis of the related literature and the present situation of energy consumption of Beijing’s carbon emissions, through the MATLAB programming on the Lagrange interpolation algorithm, the paper predicts the carbon emissions from energy consumption in Beijing’s economic growth. According to the relevant historical and predicted data, the paper examines the process of Carbon Emission Trend of energy consumption in Beijing. The results show that: Beijing carbon emissions showed "Y=X3" type growth. Combining the current situation, the paper analyzes the results, and finally provides decision support to the government, to promote the relationship between economic growth and energy consumption of carbon emissions in Beijing city into the inverted "U" trend.

scholarly journals The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Liyi Zhang ◽  
Ying Wang ◽  
Teng Fei ◽  
Hongwei Ren
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Ant Colony Algorithm ◽  
Optimization Problems ◽  
Ant Colony ◽  
Path Optimization ◽  
Low Carbon ◽  
Economic Activities ◽  
Logistics Industry ◽  
Routing Optimization

As the energy conservation and emission reduction and sustainable development have become the hot topics in the world, low carbon issues catch more and more attention. Logistics, which is one of the important economic activities, plays a crucial role in the low carbon development. Logistics leads to some significant issues about consuming energy and carbon emissions. Therefore, reducing energy consumption and carbon emissions has become the inevitable trend for logistics industry. Low carbon logistics is introduced in these situations. In this paper, from the microcosmic aspects, we will bring the low carbon idea in the path optimization issues and change the amount of carbon emissions into carbon emissions cost to establish the path optimization model based on the optimization objectives of the lowest cost of carbon emissions. According to different levels of air pollution, we will establish the double objectives path optimization model with the consideration of carbon emissions cost and economy cost. Use DNA-ant colony algorithm to optimize and simulate the model. The simulation indicates that DNA-ant colony algorithm could find a more reasonable solution for low carbon logistics path optimization problems.

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