The Design of Green Supply Chains under Carbon Policies: A Literature Review of Quantitative Models

Xu, Zhitao; Elomri, Adel; Pokharel, Shaligram; Mutlu, Fatih

doi:10.3390/su11113094

Cited by 39 publications

(21 citation statements)

References 113 publications

(257 reference statements)

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“…According to the European Commission, the oversupply of carbon dioxide emission allowances at the market ranges from 1.5 to 1.7 billion, causing a market imbalance [54,56,57,66]. Reforms launched by the European Union are aimed at achieving the expected reduction of the surplus of carbon allowances available at the market.…”

Section: Discussionmentioning

confidence: 99%

EU Carbon Emissions Market Development and Its Impact on Penetration of Renewables in the Power Sector

Rabe¹,

Štreimikienė²,

Bilan³

2019

Energies

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This paper focuses on the analysis of the EU carbon trading scheme and its impacts on regional power system development and penetration of renewable energy sources (RES). The aim of the article is to analyze the forecasts of carbon dioxide (EUA) prices for the years 2019–2030 and to apply the results of this forecast in regional power system planning. The data employed in this paper come from many sources, including empirical data of the selected analytical companies, such as Thomson Reuters among others. The current low prices for carbon dioxide emission rights do not encourage the reduction of greenhouse gas emissions, in particular carbon dioxide, and do not have a significant impact on the penetration of renewables. This paper presents the results of two scenarios (for 2021 and 2030) developed after the analysis of the EUA price impact on penetration of renewable energy sources in West-Pomeranian region assuming different electricity production and the EUA price forecasts. The results of two regional energy development scenarios run for 2021 and 2030 indicate changes in the structure of renewables in West-Pomeranian region. The results also show that the increase of EUA price has a significant impact on the increase of costs for power production and increase of unit cost of the installed 1GWh. In addition, the forecasted EUA price in 2030 is 3% lower as compared with 2021, which has its impact on the increased share of electricity produced by co-firing biomass with other fossil—from 42% to 68% in the electricity generation structure of West-Pomeranian region.

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Section: Discussionmentioning

confidence: 99%

EU Carbon Emissions Market Development and Its Impact on Penetration of Renewables in the Power Sector

Rabe¹,

Štreimikienė²,

Bilan³

2019

Energies

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“…PEC separate represents the lowest primary energy consumption (PEC) from the boiler and power grid burning fuel in the separate system. Furthermore, PEC cchp can be calculated from Equation (23) and PEC separate can be obtained from Equation (24). k f and k e represent the site-to-primary energy conversion factors of fuel and electricity, respectively.…”

Section: Energy Assessmentmentioning

confidence: 99%

“…For example, a carbon trading market for national electricity sectors was established in China in 2017 [21]. The impacts of different carbon regulatory policies have been studied in various optimization problems, such as the biodiesel supply chains manage problem [22], production configuration problem [23], and green supply chain design problem [24].…”

Section: Introductionmentioning

confidence: 99%

Sustainability Assessment of Combined Cooling, Heating, and Power Systems under Carbon Emission Regulations

2019

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The combined cooling, heating, and power (CCHP) system, which is a sustainable distributed energy system, has attracted increasing attention due to the associated economic, environmental, and energy benefits. Currently, the enforcement of carbon emission regulations has become an increasingly concerning issue globally. In this paper, a multi-objective optimization model is established to evaluate the CCHP system under two different carbon emission regulation policies in terms of economic benefit, environmental sustainability, and energy advantage. A nonlinear programming optimization model is formulated and solved by using the particle swarm optimization (PSO) algorithm. The results from the case studies demonstrate that when considering carbon tax regulation, the cost savings of the optimal CCHP system strategy were on average 10.0%, 9.1%, 17.0%, 22.1%, and 20.9% for the office, supermarket, hotel, school, and hospital in China, respectively, compared with the conventional energy supply system. On the other hand, when considering carbon trading regulation, the optimal CCHP system strategy can lead to a 10.0%, 8.9%, 16.8%, 21.6%, and 20.5% cost-saving for the five different building categories, respectively. Furthermore, the optimal CCHP system strategy for the five buildings, i.e., an average of 39.6% carbon dioxide emission (CDE) reduction and 26.5% primary energy consumption (PEC) saving, can be achieved under carbon emission regulations.

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“…Based on the criteria, we select 22 articles [1][2][3][4][5][6][7][8][19][20][21][22][23][24][25][26][27][28][29][30][31][32] to undertake the literature review. There are two articles [2,32] published by Journal of Transportation Systems Engineering & Information Technology that is indexed by an Engineering Village Compendex Database.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Carbon tax regulation is currently the most popular method used in the green logistics network or supply chain planning to reduce carbon dioxide emissions. For a detailed summarization, readers can refer to Xu et al's study [19]. Under carbon tax regulation, logistics activities are charged for each unit of carbon dioxide emission with a carbon tax [33].…”

Section: Review Of the Green Logistics Center Location And Allocationmentioning

confidence: 99%

Fuzzy Linear Programming Models for a Green Logistics Center Location and Allocation Problem under Mixed Uncertainties Based on Different Carbon Dioxide Emission Reduction Methods

Sun

Zhang

2019

Sustainability

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This study explores a foundational logistics center location and allocation problem in a three-stage logistics network that consists of suppliers, logistics centers, and customers. In this study, the environmental sustainability of the logistics network is improved by optimizing the carbon dioxide emissions of the logistics network based on multi-objective optimization and carbon tax regulation. Mixed uncertainties in the planning stage, including the supply capacities of suppliers, operation capacities of logistics centers, and demands of customers, are modeled using triangular fuzzy numbers based on the fuzzy set theory to order to enhance the reliability of the logistics center location and allocation planning. To solve the green logistics center location and allocation problem under mixed uncertainties, we establish two fuzzy mixed integer linear programming models. The fuzzy credibilistic chance-constrained programming is then adopted to obtain the crisp and linear reformulations of the fuzzy programming models. A numerical case is given to verify the feasibility of the proposed methods, in which the performance of carbon tax regulation in reducing carbon dioxide emissions is then tested based on the benchmark provided by the multi-objective optimization. Lastly, sensitivity analysis and fuzzy simulation are utilized to reveal the effect of the mixed uncertainties on the logistics location and allocation planning and further determine the best confidence level in the fuzzy chance constraints to provide decision makers with a crisp plan.

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The Design of Green Supply Chains under Carbon Policies: A Literature Review of Quantitative Models

Cited by 39 publications

References 113 publications

EU Carbon Emissions Market Development and Its Impact on Penetration of Renewables in the Power Sector

EU Carbon Emissions Market Development and Its Impact on Penetration of Renewables in the Power Sector

Sustainability Assessment of Combined Cooling, Heating, and Power Systems under Carbon Emission Regulations

Fuzzy Linear Programming Models for a Green Logistics Center Location and Allocation Problem under Mixed Uncertainties Based on Different Carbon Dioxide Emission Reduction Methods

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