An uncertain energy planning model under carbon taxes

In this study, an interval fuzzy mixed-integer energy planning model （IFMI-EPM） is developed under considering the carbon tax policy. The developed IFMI- EPM incorporates techniques of interval-parameter programming, fuzzy planning and mixed-integer programming within a general energy planning model. The IFMIEPM can not only be used for quantitatively analyzing a variety of policy scenarios that are associated with different levels of carbon tax policy, but also tackle uncertainties expressed as discrete intervals and fuzzy sets in energy and environment systems. Considering low, medium and high carbon tax rates, the model is applied to an ideal energy and environment system. The results indicate that reasonable solutions have been generated. They can be used for generating decision alternatives and thus help decision makers identify desired carbon tax policy.

Prospects for the transformation and development of carbon storage in abandoned mines of coal enterprises from the perspective ofcarbon neutrality

Under the carbon neutrality goal,coal enterprises must seek breakthroughs from abandoned mines,develop new resources in the new era,turn problems into countermeasures,and participate in the carbon emissions market,for contributing to the accomplishment of the national strategic goal of carbon neutrality.To this end,we investigated the relevant national policies and regulations to clarify the boundaries disclosed by the carbon information of enterprises,understood the development direction of carbon storage in abandoned mines,and clarified the transformation and development of carbon storage in aban-doned mines.We made a few suggestions:(1)China should learn from its past experience and other countries to develop the energy industry with Chinese characteristics and reform the economic system.(2)Coal enterprises must actively respond to the national carbon information disclosure policy,clarify their own responsibilities and carbon emission boundaries.(3)It is necessary to proactively obtain advanced knowledge and plan carbon storage pathways for abandoned mines.(4)Devel-opment problems of coal enterprises should be deduced using cases.The'dual carbon'goals should be achieved steadily step-by-step.(5)Three measures,i.e.improving the existing resource structure,coordinating the information of abandoned mines,and promoting the cultivation of scientific and technological talents.

Dynamic decision and its complex dynamics analysis of low-carbon supply chain considering risk-aversion under carbon tax policy

This study establishes a low-carbon supply chain game model under the centralized decision situation and the decentralized decision situation considering the manufacturer risk-aversion behavior, and discusses the influence of the manufacturer risk-aversion behavior on the optimal decision, profit, coordination, and complex dynamics of the supply chain. We find that comparing with the risk-neutral decentralized decision, the increase of manufacturer's risk tolerance attitude can narrow the gap between the supply chain profit and the centralized decision, but it will further reduce the carbon emission reduction level. The increase of risk tolerance of the manufacturer and carbon tax will narrow the stable region of the system. Under this situation, the manufacturer should carefully adjust parameters to prevent the system from losing stability,especially the adjustment parameters for carbon emission reduction level. When the system is in a chaotic state, the increase of carbon tax rate makes the system show more complex dynamic characteristics. Under the chaotic state, it is difficult for the manufacturer to make correct price decision and carbon emission reduction strategy for the next period, which damages its profit, but increases the profit of the retailer and the supply chain. Finally, the carbon emission reduction cost-sharing contract is proposed to improve the carbon emission reduction level and the supply chain efficiency, achieving Pareto improvement. The stability region of the system is larger than that in the centralized decision situation, but the increase of the cost sharing coefficient will reduce the stability of the system in the decentralized decision-making situation.

Fairness in Climate Change Mitigation: The Case of Carbon Taxation

Environmental economists have advocated carbon taxation for its efficiency and effectiveness in reducing Greenhouse Gas (GHG) emissions. Yet, whether the policy would be fair in any given context needs to be better realized. While the distributive effects of carbon taxation have been widely discussed, a more comprehensive understanding of tax fairness is lacking. This paper reviews the academic literature through the lens of three justice concepts -recognition, procedure, and distribution—to understand the implications of previous studies for fair carbon tax policy-making. Upon examining the relevant literature, the findings highlight the limited evidence concerning recognition and procedural justice in carbon taxation, particularly in developing country context. This calls for more assessments through these perspectives. It also emphasizes the importance of recognition for vulnerable groups, such as women, with an intersectionality approach;a fair policy process through information provision, inclusive representation, fair level playing field;and proportionate burden sharing through context-specific design elements such as targeted revenue use.

Enhancing Renewable Energy Integration:A Gaussian-Bare-Bones Levy Cheetah Optimization Approach to Optimal Power Flow in Electrical Networks

In the contemporary era,the global expansion of electrical grids is propelled by various renewable energy sources(RESs).Efficient integration of stochastic RESs and optimal power flow(OPF)management are critical for network optimization.This study introduces an innovative solution,the Gaussian Bare-Bones Levy Cheetah Optimizer(GBBLCO),addressing OPF challenges in power generation systems with stochastic RESs.The primary objective is to minimize the total operating costs of RESs,considering four functions:overall operating costs,voltage deviation management,emissions reduction,voltage stability index(VSI)and power loss mitigation.Additionally,a carbon tax is included in the objective function to reduce carbon emissions.Thorough scrutiny,using modified IEEE 30-bus and IEEE 118-bus systems,validates GBBLCO’s superior performance in achieving optimal solutions.Simulation results demonstrate GBBLCO’s efficacy in six optimization scenarios:total cost with valve point effects,total cost with emission and carbon tax,total cost with prohibited operating zones,active power loss optimization,voltage deviation optimization and enhancing voltage stability index(VSI).GBBLCO outperforms conventional techniques in each scenario,showcasing rapid convergence and superior solution quality.Notably,GBBLCO navigates complexities introduced by valve point effects,adapts to environmental constraints,optimizes costs while considering prohibited operating zones,minimizes active power losses,and optimizes voltage deviation by enhancing the voltage stability index(VSI)effectively.This research significantly contributes to advancing OPF,emphasizing GBBLCO’s improved global search capabilities and ability to address challenges related to local minima.GBBLCO emerges as a versatile and robust optimization tool for diverse challenges in power systems,offering a promising solution for the evolving needs of renewable energy-integrated power grids.

Research on the Export Trade of Hubei Province from the Perspective of a Carbon Tax

With the global concern about the safety of the environment and the increasing demands for carbon reduction, European countries have proposed to levy a carbon tax to reduce global carbon emissions. In the process of global trade, depending on advanced technology on carbon emissions, European and American countries raise the production cost of their competitors through a carbon tax to gain competitive advantage. The West＇s carbon tax will inevitably have serious implications for the export trade of China as a trading nation. As the central region, Hubei Province＇s export trade will also be affected. This paper first reviewed the background of carbon tariffs on the international market, then analyzed the impact of a carbon tax on exports of Hubei Province, and proposed relevant policies and countermeasures against trade barriers on a carbon tax at last.

Modified Ramsey Rule, Optimal Carbon Tax and Economic Growth

In contrast to the overlapping-generations model, it is allowable to discount the future utility in a dynasty model without the ethical difficulty related to intergenerational conflicts. Much precedent research uses Ramsey-type optimal growth theory in order to estimate the social discount rate. However, one must note that almost all the formulations neglect the existence of negative intertemporal externalities. This problem is vital when one analyzes the global warming problem mainly caused by the excess concentration of carbon dioxide (CO2). This is because an adjoining effect of capital accumulation exists besides the improvement of product capacity, which is reflected in the rate of interest (or equivalently, the marginal productivity of capital). That is, one cannot neglect a negative externality to the future productivity that originates from the excess emissions of CO2. Accordingly, following the optimal growth theory, the effective social discount rate should be heightened by a proportional carbon tax to suppress future excess consumption/ emissions than in the case of the existing analyses, which exclude such an intertemporal external diseconomy.

Reliability of Power System Integrated with Wind Generation Considering Carbon Tax

This paper proposes a method to evaluate the reliability of power system with different capacities of wind power while considering carbon tax. The proposed method is a hybrid approach which combines Frequency and Duration (F&D) method and Monte Carlo Simulation (MCS) method. MCS method is used to achieve a model to simulate the random status of power system. Also, the proposed method is applied on the IEEE 14-bus test system to investigate the effects of integrating different capacities of wind energy to the reliability of power system with considering carbon tax.

Optimizing Fresh Logistics Distribution Route Based on Improved Ant Colony Algorithm

With the rapid development of the fresh cold chain logistics distribution and the prevalence of low carbon concept,this paper proposed an optimization model of low carbon fresh cold chain logistics distribution route considering customer satisfaction,and combined with time,space,weight,distribution rules and other constraints to optimize the distribution model.At the same time,transportation cost,penalty cost,overloading cost,carbon tax cost and customer satisfaction were considered as the components of the objective function,and the thought of cost efficiency was taken into account,so as to establish a distribution model based on the ratio of minimum total cost to maximum satisfaction as the objective function.Then,the improved A∗algorithm and ant colony algorithm were used to construct the model solution.Through the simulation analysis results of different calculation examples,the effectiveness,efficiency and correctness of the design of the single target low-carbon fresh agricultural products cold chain model by using the improved ant colony algorithm were verified.

Influence of Taxation on Supply and Demand in Tomorrow's Crowd Energy Paradigm

The emergence of the energy self-sufficient home presents a new role for government taxation. Policymakers now face the challenge of reflecting this technological change in their decision-making and must assume a greater level of engagement. This paper proposes a number of original fiscal concepts for policymakers to implement in the support of micro-grid development. These are designed to optimise a sustainable transition away from the centralised energy system whilst creating shared value among stakeholders throughout the value chain. Concepts are based on residential micro-grid schemata in Switzerland and are applicable in other countries.

Inventory models for deteriorating items with fixed lifetime, partial backordering and carbon emissions policies

In this study,a sustainable inventory model is devised to obtain the retailer’s optimal pricing and replenishment policies for degrading items having a certain lifetime incorporating partial back order as a shortage and dynamic demand under two different scenarios(a)carbon cap and trade policy(b)carbon tax policy.The primary objective of this study is to maximize the retailer’s annual total profit.The retailer’s profit function has been optimized with the help of convexity/concavity criteria employing classical optimization techniques.Based on a real case study,two different numerical examples and corresponding optimal solutions have been shown for both models with the help of Lingo 17 software.Moreover,the impact of the major inventory parameters and prominent managerial insights are presented for the robustness of the proposed model that can cooperate with industrial managers/decision-makers for the overall improvement of his/her industry to take effective and qualitative decisions.

Parameter Uncertainty in CGE Modeling of the Macroeconomic Impact of Carbon Reduction in China

Formal methods are used to characterize the uncertainty in the computable general equilibrium （CGE） model outputs to assess the use of the CGE model of China （integrated energy-economyenvironment dynamic CGE, TEDCGE） for carbon tax policy issues. Monte Carlo experiment was used for the parameter uncertainty propagation and unconditional sensitivity analysis, using the variance of the conditional expectation （VCE） as the importance index to identify critical uncertainties. The results illustrate the statistical characteristics of TEDCGE outputs and sensitivities of the TEDCGE outputs to 50 uncertain elasticities. The results show that the carbon tax level for a predefined emission reduction goal is quite sensitive to both capital-energy substitution elasticity and inter-fuel substitution elasticity in the production function, while the key parameter for the GDP reduction rate was only the inter-fuel substitution elasticity. Among the various sectors, heavy industry and electricity are most vitally affected by a carbon tax.

Optimal Implementation Strategy of Carbon Emission Reduction Policy Instruments in Consideration of Cost Efficiency

In this paper, regulatory and optimum programming model has been adopted. Considering the costs of emission reduction, supervision and penalty, we went all out to analyze the optimal decision of cost efficiency of regulators when implementing these three policy instruments: carbon emission standards, carbon emission trading permissions, and carbon taxes as well. Its result has indicated: In strict accordance with control target of total carbon emissions, regulators are willing to render social and economic cost able to achieve the goal of optimal cost efficiency by regulating carbon emission standards and supervising marginal cost caused by variations in the probability; fortunately, under the conditions of low supervisory cost and certain criteria which is met, the implementation of carbon emission trading permissions could provide social and economic cost with opportunities to realize that objective; through comparative analysis, carbon emission trading permissions have the advantages of higher efficiency than carbon emission standards on the premise of incomplete information. During the implementation of carbon taxes strategy, when there exists uncertainty information in the enterprises reduction behaviors, the condition which enterprises can fully comply with is the tax rate level is not higher than marginal penalty function; the tax rate level of enterprises perfect compliance ought not to be lower than the division of marginal penalty cost and marginal supervisory cost. The optimal strategy of enterprises imperfect compliance is that regulators varying the marginal cost of emission standards is equal to varying that of supervisory probability.

Downside of a carbon tax for environment:Impact of information sharing

Motivated by the observation that firms invest in carbon emissions reduction to decrease the cost of carbon tax as governments in numerous countries increasingly implement carbon tax to improve the environment,and broad researcher and practitioner agreement that carbon tax implementation always benefits the environment.However,we find that a carbon tax may actually hurt the environment based on a stylized game model with a better-informed retailer(one who controls the demand information sharing with the manufacturer)and a manufacturer.In particular,we find that the carbon emissions reduction may harm the environment if the carbon tax is moderate or both the carbon tax and the demand fluctuation are high.We further reveal free-riding behavior by the retailer,who may enjoy more profit sharing from the supply chain in the presence of carbon emissions reduction.Based on these observations,we argue that a carbon tax does not always benefit the environment when a manufacturer who receives demand information from the retailer responds better to market uncertainty.

Scenario of China Reaching Carbon Peaking ahead of Schedule and Its Effect on Macro Economy

At the 75th session of the United Nations General Assembly(UNGA)in 2020,China put forward the goal of peaking carbon dioxide emissions by 2030 and achieving carbon neutrality by 2060,a move to lead global response to climate change that has attracted wide attention and hot comments at home and abroad.Therefore,it is of great practical significance and academic value to explore ways of achieving carbon peaking ahead of schedule and study the macroeconomic effect.This paper,based on Energy,Environment and Economy recursive dynamic computable general equilibrium model(TECGE),a dynamic computable general equilibrium model,carries out a quantitative analysis of the effect of strengthening carbon peaking commitment on China's future macro economy.By setting up four scenarios,namely carbon peaking of 10.8 billion tons,10.7 billion tons,10.58 billion tons and 10.36 billion tons in 2030,2027,2025,and 2023,it examines the effects of carbon peaking ahead of schedule and carbon peaking in 2030 on macro economy.The findings show that,compared with the 2030 benchmark,the more ahead of schedule carbon peaking is achieved,the higher the carbon tax prices,and that though GDP and other macroeconomic variables,such as aggregate consumption,aggregate imports and exports decline,the share of the tertiary industry increases.That is,the more ahead of schedule carbon peaking is achieved,the more macroeconomic variables decline,and the more the share of the tertiary industry rises.This paper,using computable general equilibrium(CGE)model to conduct a quantitative analysis of the macroeconomic effect,makes policy recommendations for carbon peaking ahead of schedule and high-quality economic development.

Biofuel-driven trigeneration systems for non-residential building applications:A holistic assessment from the energy,environmental and economic perspectives

In the metropolises,it is unlikely to use merely solar and wind energy to pursue zero carbon building design.However,it would become possible if biofuel-driven trigeneration systems(BDTS)are adopted.It is thus essential to assess the application opportunity of BDTS in a holistic way.In this study,BDTS offered definite primary energy saving of up to 15%and carbon emissions reduction of at least 86%in different types of non-residential buildings as compared to the conventional systems.With 24/7 operation for the hotel and hospital buildings,the corresponding BDTS could even achieve zero carbon emissions.All the BDTS primed with compression-ignition internal combustion engine were not economically viable even in running cost due to the high local biodiesel price level.The BDTS primed with spark-ignition engine and fueled by biogas,however,would have economic merit when carbon price was considered for the conventional systems that fully utilize fossil fuels.Adoption of carbon tax and social cost could have the payback ceilings of 8 years and 2 years respectively for most of building types.Consequently,the results could reflect the application potential of BDTS for non-residential buildings,leading the pathway to carbon neutrality for sustainable sub-tropical cities.

Optimal power flow calculation in AC/DC hybrid power system based on adaptive simplified human learning optimization algorithm

This paper employs an efficacious analytical tool,adaptive simplified human learning optimization(ASHLO)algorithm,to solve optimal power flow(OPF)problem in AC/DC hybrid power system,considering valve-point loading effects of generators,carbon tax,and prohibited operating zones of generators,respectively.ASHLO algorithm,involves random learning operator,individual learning operator,social learning operator and adaptive strategies.To compare and analyze the computation performance of the ASHLO method,the proposed ASHLO method and other heuristic intelligent optimization methods are employed to solve OPF problem on the modified IEEE 30-bus and 118-bus AC/DC hybrid test system.Numerical results indicate that the ASHLO method has good convergent property and robustness.Meanwhile,the impacts of wind speeds and locations of HVDC transmission line integrated into the AC network on the OPF results are systematically analyzed.