计及综合能源系统全寿命周期碳排放和碳交易的电转气设备和光伏联合优化配置

综合能源系统(IES)能够提高能源利用效率,合理配置低碳设备可有效降低碳排放,促进碳中和.提出了一种计及IES全寿命周期碳排放和碳交易机制的电转气(P2G)设备和光伏(PV)容量联合配置方法.对基于某分布式能源站的IES进行设备建模,构建了IES全寿命周期碳排放模型,给出了P2G设备和PV的全寿命周期碳排放计算方法;以基于阶梯罚金机制的碳交易成本、含用水成本和考虑分时电价的购能成本以及设备成本之和最小为优化目标,建立了P2G设备和PV的联合优化配置模型.基于某分布式能源站的实际参数进行算例分析以验证所提方法的正确性和有效性,并探讨了碳交易机制对优化配置结果的影响.     

碳达峰、碳中和目标下中国核能发展路径分析

在碳达峰、碳中和目标下（简称“双碳”目标）,中国能源系统将继续加快清洁低碳转型。核能具有生产过程不排放温室气体、全寿期碳排放量小、能量密度高、无间歇性等优点,可通过规模替代化石能源助力能源系统转型。通过梳理中国能源系统现状和核能发展基础,总结多方研究给出的能源发展目标,分析核能在发电、制氢、区域供热、海水淡化等领域的发展机遇,量化分解出阶段性发展子目标并匹配相应技术路线,总结提出核能行业发展路径,指出下一步工作重点为重塑核能在能源系统中的定位、坚持创新驱动发展、坚持与经济社会协调发展等,提出并讨论安全和公众接受性、经济性、灵活性等需要关注问题,为推动核能行业高质量发展提供政策建议。     

基于异构能源区块链的综合能源系统交易模型

综合能源系统是对电、气、热、冷能进行统一规划调度的综合系统,顺应了供给侧改革的趋势.目前综合能源系统的用户呈现个体化、分散化的趋势,传统的单向集中式输配电服务模式逐渐不适应这种趋势.基于区块链技术,设计了一种综合能源系统交易模型.采用异构能源区块链的结构模式,利用智能合约建立了基于价格约束的匹配拍卖机制,保障了清洁能源用户的供能优先级,并采用双重认证机制,保障了交易的可靠性.在实验环境下对所设计模型进行分析,仿真结果验证了所提综合能源系统交易模型的有效性和可行性.     

臭氧脱硝技术在稀贵多金属烟气治理中的应用

主要介绍在面临环境保护要求不断提升,废气排放指标不断降低的情况下,使用臭氧氧化+液碱脱硝技术对稀贵卡尔多炉和旋转顶吹炉生产回收金、银、硒、碲、铅、铋等金属产出的烟气的治理。治理后二氧化硫指标小于50mg/m3、氮氧化合物小于60mg/m3、尘指标小于10mg/m3,满足A类企业环保要求,同时其他重金属指标都满足国家国控指标要求,达到超低排放要求。     

Methane Transport Capacity of Rice Plants. II. Variations Among Different Rice Cultivars and Relationship with Morphological Characteristics

Of the total methane (CH4) emitted from a rice field during the growing season 60–90% is emitted through the rice plants. We determined the methane transport capacity (MTC) of rice plants at different physiological growth stages using an automatic measuring system under greenhouse conditions. A total of 12 cultivars (10 inbred varieties and 2 hybrids) were studied in sets of two experiments and was distinguished into three groups according to the patterns of MTC development. MTC is generally increasing from seedling stage to panicle initiation (PI), but differs in the development from PI to maturity. While the hybrid showed a gradual increase in MTC, the inbred cultivars showed either minor changes in MTC or a drastic decrease from flowering to maturity. Among tall cultivars, Dular showed the highest MTC, followed by B40; the lowest MTC was found in Intan. High-yielding dwarf cultivars showed MTC in the descending order of IR72 > IR52 > IR64 > PSBRc 20. New plant type cultivars showed very low MTC with IR65600 exhibiting the smallest MTC at PI, flowering, and maturity. Hybrids (Magat and APHR 2) showed the largest MTC that continued to increased with plant growth. The MTC patterns were attributed to growth parameters and the development of morphological characteristics of the aerenchyma. These results suggest that in tall, dwarf, and NPT cultivars, increase in root or aboveground biomass during initial growth determines a corresponding increase in MTC. Once aerenchyma has fully developed, further increase in plant biomass would not influence MTC. However, in the case of hybrids, a positive relationship of MTC with root + shoot biomass (r = 0.672, p 0.05) and a total plant biomass including grain (r = 0.849, p 0.01) indicate continuous development of aerenchyma with plant growth, resulting in enhanced MTC. In all cultivars, tiller number, but not height, was linearly related to MTC, indicating that the number of outlets/channels rather than plant size/biomass determines the transport of CH₄. These results clearly demonstrate that rice cultivars differ significantly in MTC. Therefore, the use of high-yielding cultivars with low MTC (for example, PSBRc 20, IR65598, and IR65600) could be an economically feasible, environmentally sound, and promising approach to mitigate CH₄ emissions from rice fields.     

焦炉装煤逸出含尘烟气成分的监测与计算

本课题以6m焦炉为例,分析了装煤逸出烟尘的来源,计算了焦炉装煤逸出烟尘量,在检测装煤焦炉逸出烟尘主要成分浓度的基础上,计算了主要污染物的释放总量,并对计算结果进行了分析,可为工程治理提供有用的参考数据。     

SULFUR RECOVERY WITH REDUCED EMISSIONS, LOW CAPITAL INVESTMENT AND HYDROGEN CO-PRODUCTION

The main disadvantage of the Claus process is that by introducing air as oxidant a large volume of tail gas is produced. This must be treated to reduce atmospheric emissions of sulfur-containing gases. The costs of the tail-gas unit are a significant fraction of the total capital and operating costs for sulfur recovery. A new process uses thermal decomposition of hydrogen sulfide in the presence of carbon dioxide instead of air oxidation. The products of this reaction are hydrogen, carbon monoxide, elemental sulfur, water vapor and carbonyl sulfide. Carbonyl sulfide is easily converted to H₂S and C0₂ by liquid- or vapor-phase hydrolysis. Unreacted H₂S and C0₂ are recovered by absorption and recycled to the reactor. Since no air is introduced, there is no tail gas and the tail-gas unit is eliminated, giving a substantial reduction in capital investment. The concentrations of sulfur-containing gases in the product streams depend only on the operation of the absorber and stripper units and can be controlled to very low levels by increasing stripper boil-up. Process operating costs depend on the level of sulfur recovery required and can also be much lower than those of the modified Claus Process.

The process chemistry depends on a shift in the equilibrium of H₂S decomposition caused by reaction of hydrogen with C0₂ by the reverse of the water-gas-shift reaction. Catalysts for this chemistry have been identified. Reactor conversion is further improved by rapid cooling of the reactor effluent gas. Other aspects of process design and operation confer further advantages with respect to the Claus process; however, the process equipment used is similar to that used in a Claus plant. Retrofit of existing plant to the new technology can therefore be considered.     

A robust optimization approach for pollution routing problem with pickup and delivery under uncertainty

Organizations have recently become interested in applying new approaches to reduce fuel consumptions, aiming at decreasing green house gases emission due to their harmful effects on environment and human health; however, the large difference between practical and theoretical experiments grows the concern about significant changes in the transportation environment, including fuel consumptions, carbon dioxide (CO₂) emissions cost and vehicles velocity, that it encourages researchers to design a near-reality and robust pollution routing problem. This paper addresses a new time window pickup-delivery pollution routing problem (TWPDPRP) to deal with uncertain input data for the first time in the literature. For this purpose, a new mixed integer linear programming (MILP) approach is presented under uncertainty by taking green house emissions into consideration. The objective of the model is to minimize not only the travel distance and number of available vehicles along with the capacity and aggregated route duration restrictions but also the amount of fuel consumptions and green house emissions along with their total costs. Moreover, a robust counterpart of the MILP is introduced by applying the recent robust optimization theory. Computational results for several test problems indicate the capability and suitability of the presented MILP model in saving costs and reducing green house gases concurrently for the TWPDPRP problem. Finally, both deterministic and robust mathematical programming are compared and contrasted by a number of nominal and realizations under these test problems to judge the robustness of the solution achieved by the presented robust optimization model.     

Sub-ambient cold-start emissions reduction using SwRI® PO x catalyst technology

This paper describes the application of SwRI’s cold-start PO _x catalyst technology to reduce cold-start hydrocarbon emissions from a US Tier 2 vehicle at −7 °C. A reduction in −7 °C (20 °F) cold-start hydrocarbons will help US Tier 2 vehicles meet the proposed EPA NMOG standards. Improvements in cold temperature hydrocarbon emissions would also be beneficial in many parts of Europe during the winter months. In this work, a total hydrocarbon reduction of 19% was realized at 24 °C, in line with previous results, but only up to 3% at −7 °C. Insufficient oxygen in the engine-out exhaust gas at −7 °C was determined to be the reason why the PO _x catalyst failed to significantly reduce HC emissions. Addition of supplemental oxygen to the exhaust during the cold-start, to simulate an adjustment in the engine calibration to less rich operation, resulted in a total hydrocarbon reduction of 18% with the PO _x catalysts in place, but no benefit when the PO _x catalysts were removed. Hence, the PO _x catalyst approach can be used to good effect, even under sub-ambient cold-start conditions.     

Field Validation of DNDC Model for Methane and Nitrous Oxide Emissions from Rice-based Production Systems of India

The DNDC (DeNitrification and DeComposition) model was tested against experimental data on CH₄ and N₂O emissions from rice fields at different geographical locations in India. There was a good agreement between the simulated and observed values of CH₄ and N₂O emissions. The difference between observed and simulated CH₄ emissions in all sites ranged from −11.6 to 62.5 kg C ha⁻¹ season⁻¹. Most discrepancies between simulated and observed seasonal fluxes were less than 20% of the field estimate of the seasonal flux. The relative deviation between observed and simulated cumulative N₂O emissions ranged from −237.8 to 28.6%. However, some discrepancies existed between observed and simulated seasonal patterns of CH₄ and N₂O emissions. The model simulated zero N₂O emissions from continuously flooded rice fields and poorly simulated CH₄ emissions from Allahabad site. For all other simulated cases, the model satisfactorily simulated the seasonal variations in greenhouse gas emission from paddy fields with different land management. The model also simulated the C and N balances in all the sites, including other gas fluxes, viz. CO₂, NO, NO₂, N₂ and NH₃ emissions. Sensitivity tests for CH₄ indicate that soil texture and pH significantly influenced the CH₄ emission. Changes in organic C content had a moderate influence on CH₄ emission on these sites. Introducing the mid-season drainage reduced CH₄ emissions significantly. Process-based biogeochemical modeling, as with DNDC, can help in identifying strategies for optimizing resource use, increasing productivity, closing yield gaps and reducing adverse environmental impacts.