组合优化的能源消费量预测模型

针对非等间距灰色系统预测中存在误差较大的问题，结合序列本身的特点，利用世界能源消费的历史数据，采用3种灰色预测模型与神经网络进行组合优化，建立了灰色神经网络的能源消费量组合预测模型。实证分析结果表明，提高了模型的拟合和预测精度，拓宽了应用范围。该模型可对能源的消费趋势进行预测，为科学分析能源结构提供依据。     

新疆能源消费领域节能潜力分析

以2005年为基准年,根据统计数据和发展目标分析了“十一五”期间新疆能源消费领域的节能潜力.结果显示,新疆万元GDP、万元工业增加值能耗均远高于全国水平,能源消费领域节能潜力为4 557.33×10^4t标准煤;石油加工、炼焦及核燃料加工业,石油和天然气开采业,电力、热力的生产和供应业,黑色金属冶炼及压延加工业,非金属矿物制品业,建筑节能,化学原料及化学制品制造业是新疆节能潜力较大的领域,且节能潜力依次减小,总节能潜力达3 348.48×10^4t标准煤;上述这些行业和领域内能耗均较高,建筑节能在节约资源的同时减少城市大气污染,是节能的优先领域.     

新能源汽车在我国发展的可行性分析

本文从我国石油能源短缺和汽车尾气污染环境加剧的背景出发，详细分析了目前主要的各种新能源汽车的特点及在我国发展的前景，最后得出乙醇汽车应是我国发展新能源汽车的最佳选择的结论。     

等离子点火燃烧技术在电厂节能和环保方面的应用

介绍了等离子点火技术在浙江长兴电厂3号炉上的应用.自电厂进行等离子点火装置改造并正式投运以来,取得了良好的经济效益和节能效果,环境效益也十分显著,实现了低负荷断油燃烧,节油率达90%左右,1台300 MW机组可节约燃油成本180 万元/a.     

新型烟囱节能、环保、防腐技术特征分析

对新型烟囱技术特征和流场结构的分析认为:由于切向进气,烟气形成旋涡,流动阻力低于普通烟囱,压力损失减少,所以更节能;流场中心形成负压,水、雾等比尘粒小,但比空气大(重)的轻质组分集中在中轴地带随烟气排出,不会腐蚀内壁;因为旋涡流动的存在,提升了烟气排放高度,有更好的环保效果.     

节能减排 实现钢铁企业可持续发展

通过对钢铁行业消耗水资源及产生污染情况进行分析，阐述了目前钢铁行业为节能减排而采取的管理、技术、污染治理措施，以达到减少废水外排量、降低污染物浓度、降低新水消耗的目的，对钢铁行业废水回用中尚存和潜在的工艺、设计问题进行了讨论，同时提出了通过清洁生产、优化工艺结构来解决问题的措施和建议，确立了企业近期和长期的节能减排任务目标。     

Planar detonation structure for chain-branching kinetics with large activation energy and small initiation rate

The structure of the steady planar detonation wave is analyzed for three-step chain-branching kinetics consistent with hydrogen–air chemistry. The initiation and chain-branching steps are described by an Arrhenius rate. Both are thermally neutral, so that heat release is due to termination. The initiation rate is typically very low and very stiff. As a result, a small fraction of the reactant is consumed in the initiation region, which is very long but ends in an exponential chain-branching explosion. Next, the reactant is rapidly converted into chain-branching radicals, within a very thin zone, which ends when the concentration of the chain-branching radical reaches a peak, because of reactant depletion. Finally, the termination step consumes the chain-branching radicals and releases heat within a region thicker than the peak zone, but much thinner than the initiation region. The analysis is based upon two assumptions: that the chain-branching activation energy is high and that initiation is slow. The structure of the initiation and chain-branching zones is different for post-shock states within or outside the explosion region in the chain-branching diagram. In the former situation, chain-branching is already stronger than termination at the von Neumann point, and vice versa. In the no-explosion case, the initiation zone becomes very long, while the little chain-branching specie produced by initiation is directly converted into product by the termination step. Temperature increases slowly until reaching the explosion curve, when chain-branching becomes stronger than termination. The subsequent structure is similar to the explosion case.     

Influence of the oxide content on the ignition energies of aluminium powders

Some results of determination of ignition energies for an aluminium powder with various oxide contents are presented. Common use of processes like high-speed cutting produce explosive dust clouds, so that we focused this study on hazard of metallic powders. An industrial aluminium powder has been used for this work. An original process, based on the principle of electrochemical anodisation, has been developed to increase, under control, the oxide coating of particles.

The sensitivity study to spark ignition was performed in an Hartmann explosion tube of 1.3L. The Langlie test method was applied to evaluate the energies leading to a probability of ignition of 50% (E₅₀) of the selected samples. The results confirm that the ignition energies increase with the oxide content of the powder.     

Integrated model for renewable energy planning in Turkey

All economic sectors are associated with energy use; therefore, government organizations aim to supply sustainable energy for human needs and economic growth. In particular, increased environmental concerns of the public in Turkey have impacted policymaking for renewable energy (RE) management in Turkey. The primary objective for RE sources of the Turkish Ministry of Energy is to ensure that 30% of the share of electricity production is from RE resources in 2023. In this paper, the integrated multi-objective, multi-period linear programming model is presented to determine effective allocation of RE supply for seven different geographical regions in Turkey for the period of 2017 to 2024. The integrated model consists of two different stages. The first stage involves qualitative evaluations of RE sources for seven geographical regions. Analytical Hierarchy Process (AHP) is applied to determine criteria priorities and overall ratings of geographical regions across determined criteria for RE sources are computed. The second stage of the integrated model consists of a multi-objective, multi-period linear programming model. The proposed multi-objective linear programming model is coded in MPL (Mathematical Programming Language) and solved using the GUROBI 5.1.0 solver. The output of the integrated model presents the total supply amount of RE sources for geographical regions in planning period. The ε-constraints method is applied to compute the total supply amount of RE from geographical regions for the period of 2017 to 2024. In this study, a systematic decision-making model is generated to allocate renewable energy sources to the geographical regions. The presented model integrates qualitative evaluations and quantitative parameters of different geographical regions to determine the optimal supply amount of RE. The obtained results are consistent with the potential quantities of RE alternatives in geographical regions, regional specifications, and social requirements.     

OPTIMAL WATER USE AND SALINITY CONTROL FOR ENERGY - UPPER COLORADO RIVER BASIN1

ABSTRACT: The Upper Colorado River Basin contains appreciable amounts of undeveloped fuel resources. Large quantities of oil shale, coal, and uranium have attracted recent economic and commercial interests. Development of these resources and subsequent conversion to alternative energy forms require an adequate supply of water. Water use for large scale energy development will place increasing demands on an already overstressed allocation of Colorado River water. Present water quality is at a concentration where increased salinity will result in economic detriments to holders of downstream water rights. The salt and water exchange in mining, processing, and spent fuel disposal processes has been incorporated as part of a two-level minimum cost linear programming algorithm. Mathematical simulation results provide an optimal use of Upper Colorado River water for levels of energy output such that salinity concentrations are maintained below predetermined levels.