An Empirical Study on China’s Energy Supply-and-Demand Model Considering Carbon Emission Peak Constraints in 2030

China's Energy Demand Scenario Analysis in 2030

新疆能源消费碳排放过程及其影响因素——基于扩展的Kaya恒等式

基于LMDI分解的厦门市碳排放强度影响因素分析

Energy demand and greenhouse gas emissions during the production of a passenger car in China

Modeling primary energy and electricity demands in Bangladesh: An Autoregressive distributed lag approach

Decarbonizing industries could significantly increase electricity demand, necessitating strategic grid expansion. This study evaluates the impact of decarbonizing the Pulp and Paper Sector under four 2050 scenarios: carbon capture, biomass-based, direct electrification, and indirect electrification. A bottom-up approach is employed to estimate 2020 final energy demand by heat grade and subsector. Both final and primary energy demand systems are modeled, accounting for the efficiencies of end-use technologies and primary energy transformation processes. The analysis compares primary renewable energy demand (electricity and biomass) normalized per ton of equivalent CO2 avoided against a business-as-usual scenario. It also considers the requirements for wood residues, organic waste, and CO2 storage. The carbon capture scenario, while low in electricity demand, requires significant organic waste for renewable natural gas production and 2.6 Mt of CO2 storage to offset direct and indirect emissions, making it the least feasible due to uncertainties around carbon storage in Quebec. Among the remaining scenarios, the direct electrification stands out by offering the lowest primary energy demand. It combines heat pumps with electric boilers for steam production and lime kilns are converted to a plasma-based solution. The study also includes a sensitivity analysis highlighting the potential of energy efficiency measures to ease the burden of decarbonization.

Scenario Analysis of China's Primary Energy Demand and CO2 Emissions Based on IPAT Model

Global climate and energy systems

The option of decarbonizing urban freight transport using battery electric vehicle (BEV) seems promising. However, there is currently a strong debate whether fuel cell electric vehicle (FCEV) might be the better solution. The question arises as to how a fleet of FCEV influences the operating cost, the greenhouse gas (GHG) emissions and primary energy demand in comparison to BEVs and to Internal Combustion Engine Vehicle (ICEV). To investigate this, we simulate the urban food retailing as a representative share of urban freight transport using a multi-agent transport simulation software. Synthetic routes as well as fleet size and composition are determined by solving a vehicle routing problem. We compute the operating costs using a total cost of ownership analysis and the use phase emissions as well as primary energy demand using the well to wheel approach. While a change to BEV results in 17–23% higher costs compared to ICEV, using FCEVs leads to 22–57% higher costs. Assuming today’s electricity mix, we show a GHG emission reduction of 25% compared to the ICEV base case when using BEV. Current hydrogen production leads to a GHG reduction of 33% when using FCEV which however cannot be scaled to larger fleets. Using current electricity in electrolysis will increase GHG emission by 60% compared to the base case. Assuming 100% renewable electricity for charging and hydrogen production, the reduction from FCEVs rises to 73% and from BEV to 92%. The primary energy requirement for BEV is in all cases lower and for higher compared to the base case. We conclude that while FCEV have a slightly higher GHG savings potential with current hydrogen, BEV are the favored technology for urban freight transport from an economic and ecological point of view, considering the increasing shares of renewable energies in the grid mix.

From the perspective of spatial geography, this paper verifies the spatial dependence of China’s provincial carbon emissions. The contribution of impact factors with different fields of view to carbon emissions’ growth is estimated based on the spatial panel data model, t. The study found that during 2000–2015, China’s energy-related carbon emissions in the provinces were dependent on the spatial, and the spatial spillover effect of carbon emissions and its influencing factors in the neighboring provinces are obvious. It was also found that economic growth, industrial structure, financial development, and urbanization rates are positive, and the effect of the population and technological progress on reducing carbon emissions is significant. The effect of source price, export dependence, and fiscal decentralization on carbon emissions’ growth did not pass a significance test. In the formulation of carbon emission-related policies and development plans, the government must consider the effect of the influencing factors affecting the carbon emissions in the adjacent area and combine the carbon emissions and spatial spillover effect of the related factors in order to reduce carbon emissions in the time dimension and the spatial dimension of China as a whole.

Northwest China has great natural resource endowment to develop its economy, but factors such as geographic remoteness and technological backwardness result in lower economic levels and higher carbon emissions. This study calculated the energy-related carbon emissions of five provinces in this region, and the evolutionary characteristics of energy-related carbon emissions were analysed from the spatiotemporal perspective. The Kaya identity was applied to decompose the factors influencing energy-related carbon emissions, and the logarithmic mean divisia index (LMDI) and refined Laspeyres index were combined to calculate the role of each influencing factor on energy-related carbon emissions. Finally, the Tapio and LMDI models were used to analyse the evolution of the decoupling relationship between energy-related carbon emissions and economic growth and the role of various influencing factors. The energy-related carbon emissions in Northwest China showed an increasing trend. In terms of influencing factors, economic growth and urban expansion had the highest contributions to carbon emissions and decoupling inhibition, whereas population agglomeration had the opposite effect. Northwest China showed great decoupling trends between energy-related carbon emissions and economic growth.

ARIMA forecasting of primary energy demand by fuel in Turkey

Integrated optimization of energy supply systems in horticulture using genetic algorithms

China has ambitious goals for economic development, and mustfind ways to power the achievement of those goals that are bothenvironmentally and socially sustainable. Integration into the globaleconomy presents opportunities for technological improvement and accessto energy resources. China also has options for innovative policies andmeasures that could significantly alter the way energy is acquired andused. These opportunities andoptions, along with long-term social,demographic, and economic trends, will shape China s future energysystem, and consequently its contribution to emissions of greenhousegases, particularly carbon dioxide (CO2). In this study, entitled China sSustainable Energy Future: Scenarios of Energy and Carbon Emissions, theEnergy Research Institute (ERI), an independent analytic organizationunder China's Na tional Development and Reform Commission (NDRC), soughtto explore in detail how China could achieve the goals of the TenthFive-Year Plan and its longer term aims through a sustainable developmentstrategy. China's ability to forge a sustainable energy path has globalconsequences. China's annual emissions of greenhouse gases comprisenearly half of those from developing countries, and 12 percent of globalemissions. Most of China's greenhouse gas emissions are in the form ofCO2, 87 percent of which came from energy use in 2000. In that year,China's carbon emissions from energy use and cement production were 760million metric tons (Mt-C), second only to the 1,500 Mt-C emitted by theUS (CDIAC, 2003). As China's energy consumption continues to increase,greenhouse gas emissions are expected to inevitably increase into thefuture. However, the rate at which energy consumption and emissions willincrease can vary significantly depending on whether sustainabledevelopment is recognized as an important policy goal. If the ChineseGovernment chooses to adopt measures to enhance energy efficiency andimprove the overall structure of energy supply, it is possible thatfuture economic growth may be supported by a relatively lower increase inenergy consumption. Over the past 20 years, energy intensity in China hasbeen reduced partly through technological and structural changes; currentannual emissions may be as much as 600 Mt-C lower than they would havebeen without intensity improvements. China must take into account itsunique circumstances in considering how to achieve a sustainabledevelopment path. This study considers the feasibility of such anachievement, while remaining open to exploring avenues of sustainabledevelopment that may be very different from existing models. Threescenarios were prepared to assist the Chinese Government to explore theissues, options and uncertainties that it confronts in shaping asustainable development path compatible with China's uniquecircumstances. The Promoting Sustainability scenario offers a systematicand complete interpretation of the social and economic goals proposed inthe Tenth Five-Year Plan. The possibility that environmentalsustainability would receive low priority is covered in the OrdinaryEffort scenario. Aggressive pursuit of sustainable development measuresalong with rapid economic expansion is featured in the Green Growthscenario. The scenarios differ in the degree to which a common set ofenergy supply and efficiency policies are implemented. In cons ultationwith technology and policy experts domestically and abroad, ERI developedstrategic scenarios and quantified them using an energy accounting model.The scenarios consider, in unprecedented detail, changes in energy demandstructure and technology, as well as energy supply, from 1998 to 2020.The scenarios in this study are an important step in estimating realistictargets for energy efficiency and energy supply development that are inline with a sustainable development strategy. The scenarios also helpanalyze and explore ways in which China might slow growth in greenhousegas emissions. The key results have important policy implications:Depending on how demand for energy services is met, China could quadrupleits gross domestic product between 1998 and 2020 with energy use risingby 70 percent to 130 percent (Figure 1). Continual progress in improvingthe efficiency and structure of industry is crucial to maintainingeconomic growth with minimal growth in energy use. In some industries,output may grow with no rise in energy use at all. Swelling ranks ofmotor vehicles will deepen China's dependence on imported oil up to 320Mt per year by 2020 an amount that global markets can easily supply. Tomoderate growth in transportation energy use, the strong promotion ofconvenient public transport will be needed in addition to tighter fuelefficiency standards and advanced vehicles. Fuel switching, efficientappliances, better heating and cooling systems, and improved buildingenvelope technologies will be needed in the fast-growing buildingssector. By 2020, China will still b

Pacala and Socolow developed a framework to stabilize global greenhouse gas levels for the next fifty years using wedges of constant size representing an increasing use of existing technologies and approaches for energy efficiency, carbon free generation, renewables, and carbon storage. The research presented here applies their approach to Hawaii Island, with modifications to support local scale analysis and employing a "bottom-up" methodology that allows for wedges of various sizes. A discretely bounded spatial unit offers a testing ground for a holistic approach to improving the energy sector with the identification of local options and limitations to the implementation of a comprehensive energy strategy. Nearly 80% of total primary energy demand across all sectors for Hawaii Island is currently met using petroleum-based fuels.The Sustainable Energy Plan scenario included here presents an internally consistent set of recommendations bounded by local constraints in areas such as transportation efficiency, centralized renewable generation (e.g., geothermal, wind), reduction in transmission losses, and improved building efficiency. This scenario shows thatthe demand for primary energy in 2030 could be reduced by 23% through efficiency measures while 46% could be met by renewable generation, resulting in only 31% of the projected demand being met by fossil fuels. In 2030, the annual releases of greenhouse gases would be 3.2 Mt CO2-eq/year under the Baseline scenario, while the Sustainable Energy Plan would reduce this to 1.2 Mt CO2-eq/year--an annual emissions rate 40% below 2006 levels and 10% below 1990 levels. The total for greenhouse gas emissions during the 24-year study period (2007 to 2030) is 59.9 Mt CO2-eq under the Baseline scenario and 32.5 Mt CO2-eq under the Sustainable Energy Plan scenario. Numerous combinations of efficiency and renewable energy options can be employed in a manner that stabilizes the greenhouse gas emissions of Hawaii Island.