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大力发展节油洁净的电气化交通 总被引:2,自引:0,他引:2
从我国交通,城市化、能源、环保等多方面统一、协调,可持续发展出发,建议应大力发展节油洁净的电气化交通.阐述了发展电气化交通的重要性,对于不同阶段的电气化交通技术,建议:①继续大力发展已产业化的电气火车与城市轨道交通,迎接国家交通体系的大发展.②发展电动汽车技术,尽早实现产业化.③积极推进新型磁浮交通的发展,开拓长大干线与城市交通两方面的实用化与产业化. 相似文献
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Clodomiro Unsihuay-VilaAuthor Vitae J.W. Marangon-LimaAuthor VitaeA.C. Zambroni de SouzaAuthor Vitae I.J. Perez-ArriagaAuthor Vitae 《International Journal of Electrical Power & Energy Systems》2011,33(2):258-270
A novel multiobjective, multiarea and multistage model to long-term expansion planning of integrated generation and transmission corridors incorporating sustainable energy developing is presented in this paper. The proposed MESEDES model is a “bottom-up” energy model which considers the electricity generation/transmission value-chain, i.e., power generation alternatives including renewables, nuclear and traditional thermal generation along with transmission corridors. The model decides the optimal location and timing of the electricity generation/transmission abroad the multistage planning horizon. The proposed model considers three objectives belonging to sustainable energy development criteria such as: (a) the minimization of investments and operation costs of power generation, transmission corridors, energy efficiency (demand side management (DSM) programs) considering CO2 capture technologies; (b) minimization of Life-Cycle Greenhouse Gas Emissions (GHG); and (c) maximization of the diversification of electricity generation mix. The proposed model consider aspects of the carbon abatement policy under the CDM - Clean Development Mechanism or European Union Greenhouse Gas Emission Trading Scheme. A case study is used to illustrate the proposed framework. 相似文献
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新型电力系统用户侧泛在资源分布零散、数量多、容量小以及随机性大的特点,给用户侧精细化碳排放计算造成了困难。为了准确衡量与评估电力系统中用户碳排放水平,首先通过潮流追踪方法分析了电力系统各节点潮流的来源,确定了各节点的间接碳排放责任;然后依照比例共享原则结合不同来源的碳排放强度得到了电力系统碳流分布情况;最后通过提出的负荷侧各项电力碳排放指标,评估了不同节点的清洁程度从而引导用户更多地使用清洁能源以降低自身碳排放。并采用实际电力系统数据进行算例验证,验证了所提方法的合理性与可用性。 相似文献
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A simple new method to fabricate carbon nanotube field emitters was developed. Single wall carbon nanotubes with high graphitization
were attached on Sn or Ni layered glass substrate in-situ in arc-discharge chamber. Post heat treatments below the deformation
temperature of soda-lime glass guaranteed a good mechanical adhesion and electrical contact of the nanotubes. The morphology
of the metal electrode layers was examined with the heat treatment temperatures to optimize the heat treatments. The emitters
formed on Sn layers showed lower turn-on voltage and higher current density than those formed on Ni layers. A good field emission
performance was realized in an emitter where nanotubes were deposited on Sn layer of the thickness 100 nm and annealed at
300∘C. The current density was 2.5 mA/cm2 at 3.5 V/μm. The emitter structure was maintained stable for 8 h. 相似文献
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《The Electricity Journal》2022,35(10):107221
This paper examines whether voluntary sustainability disclosures are associated with sustainability performance for a sample of 47 investor-owned electric utilities that disclosed SASB-consistent sustainability information in their SEC (U.S. Securities and Exchange Commission) filings in the period 2014–2018. We collect sustainability performance indicators from company sustainability reports to determine whether companies with a good disclosure policy on a topic also have good sustainability performance on the given topic. Our findings suggest that the most frequent disclosures are grid resiliency, greenhouse gas emissions, and end-use efficiency while the least disclosed topics are energy affordability and nuclear safety. The data shows that companies that perform among the best on one sustainability performance measure may not be the best on other measures. Correlation analysis and mean difference tests indicate that there is no strong connection between sustainability performance and disclosure quality. Thus, the present strategy of voluntary sustainability disclosure may not be a direct indicator of actual sustainability performance. 相似文献
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基于来源多样性特征的中国电力碳足迹估算 总被引:1,自引:0,他引:1
来源多样性是电力有别于其他能源类型的最显著特征。根据不同电力来源的碳排放强度和消费水平,结合土地覆被的固碳能力变化,对2005~2009年的中国电力碳足迹进行了分类估算。结果表明,全国电力碳足迹从500.92×106hm2增加到765.53×106hm2;人均电力碳足迹从0.40 hm2.人-1增加到0.60 hm2.人-1。火电、水电、风电和核电平均占比分别约为96%、4%、0.03%、0.01%。煤炭投入增加和石油投入减少削弱了火电乃至整个电力的来源多样性。为有效推进电力产业的节能减排,应坚持低碳电力开发与火电结构调整并重的原则。 相似文献
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对碳排放计价收费或采取其他干预措施可减少温室气体排放,从而减轻气候变化带来的影响。该文基于加权和分段法建立了一种新的碳排放计价和能源调度协同优化方法,可以将电力部门的预期排放量降低到规定的目标以下。将该问题表述为一个双层规划问题:上层为碳排放费率优化,以碳排放总量的社会效益最大化为目标;下层为典型日的碳排放协同机组组合优化,以运营成本最小化为目标,并考虑了各种运行条件以及二进制机组组合决策等约束。使用加权求和分段法确定最优费率以达到给定排放目标,并与约束排放边际值方法进行对比。还研究了系统投资与碳排放制定过程的关系。基于测试系统的案例研究结果表明,该方法可以可靠地找到满足排放目标的最低碳计价费率,验证了所提出方法的有效性。 相似文献
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Robert J. Procter 《The Electricity Journal》2018,31(2):67-77
This paper compares the work by Mark Jacobson et al. of 100% renewables to the rigors of long-run utility system planning. This comparison to integrated resource planning (IRP) allows comparison between assumptions used by Jacobson to results from real-world planning studies. Seven criteria are proposed for designing such a study. 相似文献
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Tan WANG Xu WANG Yu GONG Chuanwen JIANG Fengjia XIONG Lei LI Yan ZHAO 《Journal of Modern Power Systems and Clean Energy》2017,5(2):239-247
Initial allocation modes and schemes are studied in this paper to provide guidelines for allocation of carbon emission permits in power system. We first introduce different allocation modes and the need to apply free allocation to assignability of emission permits. Then, we compare two different allocation schemes, which are based on historical emissions and generation performance standard. Further, a new allocation scheme based on Boltzmann distribution is proposed. Finally, a case study on Shanghai power grid in China is conducted to compare the allocation effects of these schemes respectively. The analytical results show that Boltzmann distribution based scheme has the best performance and should be adopted when developing initial allocation of carbon emission permits in Chinese power systems. 相似文献
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For more than 20 years, the large-scale application of flue gas desulfurization technology has been a dominant cause of SO2 emission reductions. From 1994–2004, electricity generation from coal increased, but the shift to low-sulfur coal eclipsed this. From 2004–2014, electricity generation from coal decreased, but a shift to higher-sulfur subbituminous and lignite coal overshadowed this. The shift in coal quality has also created a CO2 emissions penalty, representing 2% of the sector’s total emissions in 2014. 相似文献
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Xingping Wu Wei Yang Ning Zhang Chunlei Zhou Jinwei Song Chongqing Kang 《电力系统保护与控制》2024,9(2):138-146
The calculation of the indirect carbon emission is essential for power system policy making, carbon market development, and power grid planning. The embedded carbon emissions of the electricity system are commonly calculated by carbon emission flow theory. However, the calculation procedure is time-consuming, especially for a country with 500–1000 thousand nodes, making it challenging to obtain nationwide carbon emissions intensity precisely. Additionally, the calculation procedure requires to gather all the grid data with high classified levels from different power grid companies, which can prevent data sharing and cooperation among different companies. This paper proposes a distributed computing algorithm for indirect carbon emission that can reduce the time consumption and provide privacy protection. The core idea is to utilize the sparsity of the nodes'' flow matrix of the nationwide grid to partition the computing procedure into parallel sub-procedures executed in multiple terminals. The flow and structure data of the regional grid are transformed irreversibly for privacy protection, when transmitted between terminals. A 1-master-and-N-slave layout is adopted to verify the method. This algorithm is suitable for large grid companies with headquarter and branches in provinces, such as the State Grid Corporation of China. 相似文献
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As carbon emissions reduction is becoming increasingly important for sustainable development and carbon neutrality targets, the concept of carbon emission market has been recently proposed in order to essentially manage carbon emission on the demand side by allowing electricity consumers to purchase or sell carbon emission quotas. Hence, real-time demand-side carbon emission monitoring (DCEM), indicating the amount of carbon emission that each electricity consumer should be responsible for, becomes a necessity for the operation of the carbon emission market. However, the real-time DCEM cannot be achieved by carbon emission flow (CEF) analysis due to the unavailability of real-time power demand data. In this connection, this paper proposes a two-stage real-time DCEM method based on the graph neural network (GNN). In the first stage, power system operating scenario data, including the power generation capacity and power demand data, are collected to calculate carbon emission patterns through CEF analysis. In the second stage, a data-driven GNN-based model is designed to learn from historical daily carbon emission patterns and then realize accurate real-time DCEM with real-time available generation-side measurements only. Case studies on the 118-bus power system operated with day-ahead planning considering carbon emission are performed to demonstrate the accuracy and effectiveness of the proposed method. 相似文献
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Natural gas is the main energy source and carbon emission source of integrated energy systems (IES). In existing studies, the price of natural gas is generally fxed, and the impact of price fuctuation which may be brought by future liberalization of the terminal side of the natural gas market on the IES is rarely considered. This paper constructs a natural gas price fuctuation model based on particle swarm optimization (PSO) and Dynamic Bayesian networks (DBN) algorithms. It uses the improved epsilon constraint method and fuzzy multi-weight technology to solve the Pareto frontier set considering the system operation cost and carbon emission. The system operation cost is described using Latin Hypercube Sampling (LHS) to predict the stochastic output of the renewable energy source, and a penalty function based on the Predicted Mean Vote (PMV) model to describe the thermal comfort of the user. This is analyzed using the Grey Wolf Optimization (GWO) algorithm. Carbon emissions are calculated using the carbon accounting method, and a ladder penalty mechanism is introduced to defne the carbon trading price. Results of the comparison illustrate that the Pareto optimal solution tends to choose less carbon emission, electricity is more economical, and gas is less carbon-intensive in a small IES for end-users when the price of natural gas fuctuates. The impacts of various extents of natural gas price fuctuation for the same load are also discussed. 相似文献
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To study the constrained emission/economic dispatch problem involving competing objectives in electric power systems with carbon capture system (CCS) technology, this paper proposes a multi-objective optimization approach based on bacterial colony chemotaxis (MOBCC) algorithm. In this algorithm, a Lamarckian constraint handling method based approach is improved to update the bacterial colony and the external archive. Finally, the optimization tests of the proposed algorithm are carried out in the IEEE 30-bus test system. Results demonstrate this approach has the advantage of dealing with highly non-linear and multi-objective functions of carbon capture thermal generator’s emission/economic dispatch problem. 相似文献
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针对微电网经济调度效率低下等问题,提出了一种碳排放限制的混杂最优闭环微电网调度算法。算法在考虑火力发电机组和多分布式发电聚合体组合调度的同时,以电网实际需求响应和碳排放限制作为约束条件,建立微电网经济调度模型;并将经济调度问题转化为混杂系统的最优控制,从而建立微电网经济调度与混杂系统最优控制序列的等价一致性;推导混杂系统获取满足贝尔曼方程的最优代价函数,借助神经网络逼近最优值获得最优闭环调度序列。仿真实验验证了本调度算法的闭环有效性,能在不同初始条件和外部扰动下依然获得最优调度序列,同时仿真结果证实降低碳排放限额或提高碳排放交易价格都有助于减少电网系统的总碳排放量。 相似文献