二氧化碳捕集利用与封存项目纳入碳市场的现状、挑战与对策

二氧化碳捕集、利用与封存（CCUS）被认为是燃煤和燃气电厂以及钢铁、水泥和石化等行业实现碳中和的重要技术选项,而碳市场则是重要的市场化减排机制,提高两者的衔接水平,对于我国“双碳”目标的实现具有重要意义。通过总结国际上CCUS项目与碳市场衔接的成功经验,可以为我国CCUS项目与碳市场衔接提供相关借鉴。本文系统梳理了国内外CCUS项目纳入碳市场的立法、激励政策、CCUS减排核算方法学研究情况,识别出我国在CCUS项目与碳市场衔接方面尚存在法律支撑不足、缺乏激励政策以及CCUS项目碳减排核算方法不准确等一系列问题,最后提出多项建议以推动我国CCUS项目与碳市场的衔接：①完善碳市场监管和法律体系,促进CCUS与碳市场衔接;②研判CCUS优先领域,分阶段促进不同行业CCUS项目纳入碳交易市场;③强化政策激励,打通CCUS与碳市场衔接的投融资与成本疏导路径;④分阶段完善碳交易市场建设,充分发挥碳市场金融属性促进CCUS与碳交易市场衔接;⑤建立完善的监测、报告和核查（MRV）标准体系和证书制度,保证CCUS项目减排量核证的准确性和规范性。     

数字化控制系统信息显示特征对操纵员信息 捕获绩效的影响及优化研究

随着计算机技术和仪控技术的发展,数字化仪控系统逐步在大型控制室得到应用,主控室信息界面随之也出现了 “巨量信息与有限显示”的矛盾。通过分析数字化主控室信息显示的特点,基于认知心理学的相关理论,通过实验研究 信息显示率、信息提供率、数据更新率对操纵员信息捕获绩效的影响。实验结果表明:对操纵员信息捕获绩效影响最主 要的因素是信息显示率,其次是信息提供率,最后是数据更新率;信息显示率与信息提供率对被试信息捕获绩效的影响 具有较高的灵敏度,而数据更新率的变化对被试信息捕获绩效的影响并不显著;信息显示的最佳匹配组合是信息显示率 为56.4 bit,信息提供率为9.4 bit,数据更新率为3 s。研究成果可为数字化主控室信息显示的设计提供理论基础。     

Optimal timing of carbon capture policies under learning-by-doing

Using a standard Hotelling model of resource exploitation, we determine the optimal energy consumption paths from three options: dirty coal, which is non-renewable and carbon-emitting; clean coal, which is also non-renewable but carbon-free thanks to carbon capture and storage (CCS); and solar energy, which is renewable and carbon-free. We assume that the atmospheric carbon stock cannot exceed an exogenously given ceiling. Taking into account learning-by-doing in CCS technology, we show the following results: (i) clean coal exploitation cannot begin before the outset of the carbon constrained phase and must stop strictly before the end of this phase; (ii) the energy price path can evolve non-monotonically over time; and (iii) when the solar cost is low enough, an unusual energy consumption sequence along with solar energy is interrupted for some time and replacement by clean coal may exist.     

Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology

Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO₂) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitigate greenhouse gas emissions, with the additional advantage that it allows continuing use reliable and inexpensive fossil fuels. However, CCS retrofit entails major capital costs as well as a reduction of overall thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CCS retrofit while meeting the specified carbon emission limits for the power sector. At the same time, it is necessary to plan for compensatory power generation capacity to offset energy losses resulting from CCS retrofit. In this paper, an algebraic targeting technique is presented for planning of grid-wide CCS retrofits in the power generation sector with compensatory power. The targeting technique is developed based on pinch analysis. In addition, the proposed methodologies are illustrated through case studies based on grid data in India and the Philippines. Sensitivity analysis is carried out to determine the suitable CCS technology and compensatory power source which satisfy emission limits.     

Fuzzy optimization of multi-period carbon capture and storage systems with parametric uncertainties

Carbon capture and storage (CCS) is an important technology option for reducing industrial greenhouse gas emissions. In practice, CO₂ sources are easy to characterize, while the estimation of relevant properties of storage sites, such as capacity and injection rate limit (i.e., injectivity), is subject to considerable uncertainty. Such uncertainties need to be accounted for in planning CCS deployment on a large scale for effective use of available storage sites. In particular, the uncertainty introduces technical risks that may result from overestimating the limits of given storage sites. In this work, a fuzzy mixed integer linear program (FMILP) is developed for multi-period CCS systems, accounting for the technical risk arising from uncertainties in estimates of sink parameters, while still attaining satisfactory CO₂ emissions reduction. In the model, sources are assumed to have precisely known CO₂ flow rates and operating lives, while geological sinks are characterized with imprecise fuzzy capacity and injectivity data. Three case studies are then presented to illustrate the model. Results of these examples illustrate the tradeoff inherent in planning CCS systems under parametric uncertainty.     

Control of chlorinated aromatic compounds from a municipal solid waste incinerator using limestone addition

In this study, limestone powder was directly added to synthetic MSW, which was fed into a small‐scale fluidized bed incinerator. The concentration of CBzs and CPs in the flue gas were measured before and after a secondary combustion air injection. Finally, the PCDDs and PCDFs concentrations were also measured in the flue gas after the secondary combustion zone. The CaCO₃ added to synthetic MSW not only controls HCl in the flue gas, but suppresses the formation of chlorinated aromatic compounds like CBzs, CPs, PCDDs, and PCDFs. The main mechanisms to control the formation of chlorinated aromatic compounds was more likely related to the suppression of catalytic capability of flyash than the HCl reduction in the flue gas. However, the NO concentration was increased by catalytic reaction of limestone in the fluidized bed.     

五氟苯甲酰氯衍生色谱法分析水体中痕量羟基多溴联苯醚

以五氟苯甲酰氯(PFBCl)作为衍生化试剂,气相色谱-电子捕获检测器(Gas chromatography-electron capture detector,GC-ECD)为检测手段,建立了水体中痕量羟基多溴联苯醚(Hydroxylated polybrominated diphenyl ethers,简称OH-PBDEs)的酰基化衍生-GC/ECD检测方法.通过实验讨论了衍生化缓冲溶液、衍生化时间以及衍生后萃取溶液异辛烷的用量对检测结果的影响,确定了最佳的衍生化条件.在最佳的衍生化条件下,4-OH-BDE 42、4’-OH-BDE 49、6-OH-BDE 47、2’-OH-BDE 68和6’-OH-BDE 99的衍生化产物均获得了良好的分离度和色谱响应值.本方法的仪器检出限为0.02—0.14 pg,方法检出限为0.61—4.67 pg.L-1,标准曲线线性相关系数的范围为0.9973—0.9996,相对标准偏差均小于10%.3种采自大连市不同地区环境水样的加标回收率检测结果表明,所建立的分析方法适于水体中痕量OH-PBDEs的检测.     

炸药爆轰气体产物中无机组份的离子色谱分析方法研究

采用超纯水、Na2CO3-NaHCO3NaOH3种不同的吸收液吸收爆轰气体产物、离子色谱进行样品分离、外标法定量,建立了爆轰气体产物中HF、HCl、HCN无机污染物的离子色谱分析方法。研究表明,炸药爆轰气体中合有一定量的HF、HCl和少量的HCN,选择3．2mmol／LNa2C03与1．0mmol／LNaHCO3混合溶液作为爆轰产物中无机组份的吸收液,吸收效率均值太于90％;离子色谱分析方法的相对标准偏差（RSD）小于5．0％,相关系数达到0．9990以上;进样量为100μL时,HF、HCl、HCN的检测限分别为0．04mg／m^3、0．03mg／m^3、0．05mg／m^3。该方法灵敏度高,回收率好,且样品预处理简单。     

Techno-Economic Study of CO2 Capture from an Existing Cement Plant Using MEA Scrubbing

Carbon dioxide is the major greenhouse gas responsible for global warming. Man-made CO₂ emissions contribute approximately 63% of greenhouse gases and the cement industry is responsible for approximately 5% of CO₂ emissions emitting nearly 900 kg of CO₂ per 1000 kg of cement. CO₂ from a cement plant was captured and purified to 98% using the monoethanolamine (MEA) based absorption process. The capture cost was $51 per tonne of CO₂ captured, representing approximately 90% of total cost. Steam was the main operating cost representing 39% of the total capture cost. Switching from coal to natural gas reduces CO₂ emissions by about 18%. At normal load, about 36 MW of waste heat is available for recovery to satisfy the parasitic heat requirements of MEA process; however, it is very difficult to recover.     

Control Issues in the Design of a Gas Turbine Cycle for CO2 Capture

This article is concerned with control issues related to the design of a semi-closed O ₂/CO ₂ gas turbine cycle for CO ₂ capture. Some control strategies and their interaction with the process design are discussed. One control structure is implemented on a dynamic simulation model using a predictive controller, and simulations assess the performance and compare its merits with a conventional PI structure. The results indicate that it can be advantageous for operability to allow a varying (as opposed to fixed) compressor inlet pressure, at the cost of a more expensive design. Furthermore, the results show that a predictive controller has some advantages with respect to the simpler conventional PI control structure, in particular in terms of constraint handling.