CFB锅炉环保项目SNCR工艺优化提效研究

某炼化企业自备电厂循环流化床锅炉(简称CFB锅炉)环保项目所采用的脱硝方法为选择性非催化还原脱硝(简称SNCR),使用的还原剂为尿素,SNCR系统投用后,虽然能使NOX排放量显著下降,但尿素用量明显过度,增加了企业脱硝成本,并导致脱硫废水氨氮含量超标。为了应对这一情况,本研究主要通过现场调节锅炉运行参数,以及基于CFD建模的方法研究出高效可靠的SNCR工艺优化调整策略及方法,结果表明:在锅炉燃料煤∶焦=4∶1掺烧比例下,氧含量不宜超过3%,有利于降低NOX生成量;控制减少石灰石量有助于提升NOX的脱除效率;通过模拟计算发现下半部喷枪起到主要的脱硝作用,可适当减少上半部喷枪、提升环下半部喷枪的尿素喷入量来提高脱硝效率。为煤焦混烧CFB锅炉脱硝系统的优化提供指导和借鉴作用。     

人居环境的可控性

针对人居环境的复杂性、动态性以及纷繁复杂的影响因素，试图以系统论的观点考查人居环境的可能性发展空间，提出了人居环境大系统的观点，阐述了人工系统、人文系统和自然系统的构成和关系，提出并论述了通过结构优化、功能模拟、反馈控制等方法促使人居环境系统得到合理发展的观点。     

三普2#地热站供热工程设计方案优化分析

通过分析地热供热的相关概念，建立了高效利用地热能源的一系列实现途径。根据工程的基础材料，从技术和经济方面对单纯地热供热方案、地热燃气调峰方案、热泵配置方案以及最终的组合方案进行了优化和调整，从而为三普2#地热井供热工程提供了优化方案，提高了该地区的地热利用率。     

CONJUNCTIVE SURFACE AND GROUND WATER MANAGEMENT IN THE JAKARTA REGION,INDONESIA1

ABSTRACT: This study investigates the degree of economic inefficiency of the current institutional arrangements for surface and ground water management in meeting urban water demand in the Jakarta region. A numerical model of integrated surface and ground water management is developed using GAMS (General Algebraic Modelling System) software. The model maximizes the net present value of social benefits from piped water and ground water consumption across all users over time from 1999 to 2025. Four policy scenarios are examined: the status quo, the social planner's solution, and two ground water pumping quota scenarios: an aggregate ground water pumping quota and a partial quota applied to commercial and industrial users. Three variations in each policy scenario are considered: investment in water infrastructure of the Jakarta water enterprise (PAM Jaya), water demand growth, and discount rates. The status quo, depending on the investment option, the growth of water demand, and the discount rate, results in a 7.4 to 47.8 percent loss in economic efficiency relative to the social planner's solution. The partial quota is the most feasible, applicable, and manageable scenario. The optimal investment option could increase the volume of piped water supply and reduce the cost of water production. The volume of water delivery could increase by up to 156 percent, but it implies only a 35 percent increase in the surface raw water demands above the current level. However, it does not significantly reduce cumulative ground water extraction over the time period considered.     

MULTIPLE CRITERIA ANALYSIS FOR WATER QUALITY MANAGEMENT IN THE NITRA BASIN1

ABSTRACT: This paper presents the implementation of one element of a decision support system (DSS) for regional water quality management, applied to the Nitra River Basin in Slovakia. A model-based, aspiration-led methodology for multicriteria decision support has been used for the study. Several reusable, modular software tools have been developed and implemented: a problem-specific generator to produce the core part of the mathematical programming model, tools for the generation and interactive modification of multicriteria problems, and a solver for the resulting mixed-integer optimization problem. Provided in the paper are the following: a complete formulation of the mathematical model (including the imbedded water quality model), a summary of the aspiration-reservation-led multiple criteria optimization approach applied to decision support, and an overview of results that illustrate the applied approach and provide some interesting insights to the case study.     

A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations

The occurrence of Dense Non-Aqueous Phase Liquid (DNAPL) contaminations in the subsurface is a threat for drinkwater resources in the western world. Surfactant-Enhanced Aquifer Remediation (SEAR) is widely considered as one of the most promising techniques to remediate DNAPL contaminations in-situ, be it with considerable additional costs compared to classical pump-and-treat remediations. A cost-effective design of the remediation set-up is therefore essential. In this work, a pilot SEAR test is executed at a DNAPL contaminated site in Belgium in order to collect data for the calibration of a multi-phase multi-component model. The calibrated model is used to assess a series of scenario-analyses for the full-scale remediation of the site. The remediation variables that were varied were the injection and extraction rate, the injection and extraction duration, and the surfactant injection concentrations. A constrained multi-objective optimization of the model was applied to obtain a Pareto set of optimal remediation strategies with different weights for the two objectives of the remediation: (i) the maximal removal of DNAPL and (ii) a total minimal cost. These Pareto curves can help decision makers to select an optimal remediation strategy in terms of cost and remediation efficiency. The Pareto front shows a considerable trade-off between the total remediation cost and the removed DNAPL mass.     

A robust approach for iterative contaminant source location and release history recovery

Contamination source identification is a crucial step in environmental remediation. The exact contaminant source locations and release histories are often unknown due to lack of records and therefore must be identified through inversion. Coupled source location and release history identification is a complex nonlinear optimization problem. Existing strategies for contaminant source identification have important practical limitations. In many studies, analytical solutions for point sources are used; the problem is often formulated and solved via nonlinear optimization; and model uncertainty is seldom considered. In practice, model uncertainty can be significant because of the uncertainty in model structure and parameters, and the error in numerical solutions. An inaccurate model can lead to erroneous inversion of contaminant sources. In this work, a constrained robust least squares (CRLS) estimator is combined with a branch-and-bound global optimization solver for iteratively identifying source release histories and source locations. CRLS is used for source release history recovery and the global optimization solver is used for location search. CRLS is a robust estimator that was developed to incorporate directly a modeler's prior knowledge of model uncertainty and measurement error. The robustness of CRLS is essential for systems that are ill-conditioned. Because of this decoupling, the total solution time can be reduced significantly. Our numerical experiments show that the combination of CRLS with the global optimization solver achieved better performance than the combination of a non-robust estimator, i.e., the nonnegative least squares (NNLS) method, with the same solver.     

废水污染物总量监测中采样方法的研究

通过对21家有代表性的废水污染源进行现场采样、排放曲线分析、采样频率优化的研究,确定总量监测中采样频率优化结果,为污染源总量控制监测提供技术指导。     

高阶段尾砂胶结充填体力学研究与博弈树配比优化

在实验室试验了不同配比尾砂胶结试块强度,在充填采场取样测试了采场充填体强度.结果表明,如果以实验室试验的力学参数为充填配比设计依据,充填体最小设计安全系数为1.6～1.8比较合理.分析高阶段充填体受力,推导了分层充填力学计算公式及安全系数计算方法;根据充填工艺,确定最小充填高度,沿采场高度方向划分配比优化单元,建立了高阶段充填体配比优化设计模型;采用博弈树分析方法,解决了高阶段充填体配比优化问题,并对安庆铜矿5号矿房配比进行了优化.结果显示:与经验设计方法相比,采用本文方法优化充填配比,不仅使高阶段充填体内安全系数分布更趋合理,而且降低了水泥消耗.     

Importance of incorporation of personal communication devices in evacuation simulators

The importance of the incorporation of personal communication devices in emergency evacuation simulators will be discussed. Four case studies are examined to identify usage statistics and human behavior when using the devices in an emergency. The case studies are: 9/11 World Trade Center Attacks, London train bombings, Virginia Tech shooting and United Flight #93. The case studies’ findings are implemented into the Vacate evacuation simulator, which uses particle swarm optimization to mimic human pedestrian behavior. The physical actions of using a device, as well as the reaction to the information transmitted during usage, are examined. Findings show that the effects of the personal communication devices can affect individuals that are close to the user of the device, as well as those not in the local vicinity of the user. These effects, combined with the rapid mainstream acceptance of communication technologies, justify the implementation of personal communication devices into evacuation simulators.