Online monitoring supports plant reliability and performance management by providing real time information about the condition of equipment. However, the intricate geometries and harsh operating environment of coal fired power plant boilers inhibit the ability to do online measurements of all process related variables. A low-cost alternative lies in the possibility of using knowledge about boiler operation to extract information about its condition from standard online process measurements. This approach is evaluated with the aim of enhancing online condition monitoring of a boiler’s convective pass heat exchanger network by respectively using a soft sensor and a data-driven method. The soft sensor approach is based on a one-dimensional thermofluid process model which takes measurements as inputs and calculates unmeasured variables as outputs. The model is calibrated based on design information. The data-driven method is one developed specifically in this study to identify unique fault signatures in measurement data to detect and quantify changes in unmeasured variables. The fault signatures are initially constructed using the calibrated one-dimensional thermofluid process model. The benefits and limitations of these methods are compared at the hand of a case study boiler. The case study boiler has five convective heat exchanger stages, each composed of four separate legs. The data-driven method estimates the average conduction thermal resistance of individual heat exchanger legs and the flue gas temperature at the inlet to the convective pass. In addition to this, the soft sensor estimates the average fluid variables for individual legs throughout the convective pass and therefore provides information better suited for condition prognosis. The methods are tested using real plant measurements recorded during a period which contained load changes and on-load heat exchanger cleaning events. The cleaning event provides some basis for validating the results because the qualitative changes of some unmeasured monitored variables expected during this event are known. The relative changes detected by both methods are closely correlated. The data-driven method is computationally less expensive and easily implementable across different software platforms once the fault signatures have been obtained. Fault signatures are easily trainable once the model has been developed. The soft sensors require the continuous use of the modelling software and will therefore be subject to licencing constraints. Both methods offer the possibility to enhance the monitoring resolution of modern boilers without the need to install any additional measurements. Implementation of these monitoring frameworks can provide a simple and low-cost contribution to optimized boiler performance and reliability management.

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The aim of this thesis is to analyze the importance of coal-fired power plants on the market of electric energy, with emphasis on aspects that fundamentally affect their production. Coal-fired power plants belongs nowadays among socially unpopular source of electricity. In recent decades intensively growing interest groups that support state intervention and regulation of the energy sector. This is essentially a massive promotion of renewable energy sources at the expense of fossil fuel plants. Analysis of individual power sources shows that despite the current restrictive measures imposed on power plants burning fossil fuels, and especially coal-fired power plants, electricity produced from coal resources is still competitive, despite some drawbacks has many positive qualities. Coal-fired power plants produce higher amounts of greenhouse gases and other pollutants than other types of power plants. On the other hand, they are able to provide a stable supply of electricity to transmission network, and thus partially offset the high volatility of electricity supply from renewable energy sources. The price of electricity from coal-fired power plants could be considered as relatively low in comparison with other energy sources. The analysis shows that in terms of practical economic policy is not economically justified to reduce the proportion of coal-fired power plants in the total production of electricity.

Energy technologies interact with the economic, social and environmental systems, and do so not only directly but indirectly as well, through upstream and downstream processes. In addition, the interactions may produce positive and negative repercussions. To make informed decisions on the selection of energy technologies that assist a nation in reaping the socio-economic benefits of power generation technologies with minimal effects on the natural environment, energy technologies need to be understood in the light of the multifaceted system in which they function. But frequently, as disclosed by the literature review conducted in this research, the evaluation of energy technologies lacks clear benchmarks of appropriate assessments, which has resulted in difficulty to compare and to gauge the quality of various assessment practices. The assessment methods and tools tend to be discipline specific with little to no integrations. Parallel with the tools, the technology assessment studies offer piecemeal information that limits deeper understanding of energy technologies and their consequent socio-economic-environmental repercussions. Improved energy technology assessment requires the use of a holistic and integrative approach that traverses the disciplinary nature of energy technology assessment tools, examines the long-term implications of technologies while at the same time embracing energy technologies’ positive-and-negative interactions with the economic, social and environmental systems and in this manner offering economic, social and environmental indicators to assist decision makers in the decision-making process. Accordingly, this study focuses on improving the assessment of energy technologies through the application of a holistic and integrative approach, specifically system dynamics approach along a life-cycle viewpoint. Precisely, focus is on coal-based electricity generation and in particular, the Kusile coal-fired power station near eMalahleni as a case study. A COAL-based Power and Social Cost Assessment (COALPSCA) Model was developed for: (i) understanding coal-based power generation and its interactions with resource inputs, private costs, externalities, externality costs and hence its consequent socio-economic, and environmental impacts over its lifetime and fuel cycle; (ii) aiding coal-based power developers with a useful tool with a clear interface and graphical outputs for detecting the main drivers of private and externality costs and sources of socio-environmental burdens in the system; (iii) aiding energy decision makers with a visual tool for making informed energy-supply decisions that takes into account the financial viability and the socio-environmental consequences of power generation technologies; and for (iv) understanding the impacts of various policy scenarios on the viability of coal-based power generation. The validation of the COALPSCA Model was also conducted. Five structural validity tests were performed, namely structure verification, boundary adequacy, parameter verification, dimensional consistency and extreme condition tests. Behavioural validity was also conducted which included an analysis of the sensitivity of the model outcomes to key parameters such as the load factor, discount rate, private cost growth rates and damage cost growth rates using univariate and multivariate sensitivity analysis. Finally, while attempts were made to incorporate most of the important aspects of power generation in a coal-fired power plant, not all intrinsic aspects were incorporated due to lack of data, gaps in knowledge and anticipated model complication. The shortcomings of the model were highlighted and recommendations for future research were made. / Thesis (PhD)--University of Pretoria, 2015. / tm2015 / Economics / PhD / Unrestricted

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Coal-fired power plants’ typically large capacity and relatively low electricity generation costs in the Chinese power market can be compared with their typically low specific thermal efficiency and older age on average. At the same time, the environment pollution caused by local coal-fired power plants has started to receive due attention. Sustainable renewable energy sources and the application of effective conversion technologies for those has become a top priority of China's current energy strategy. Biomass in general and anaerobic biogas in particular can be regarded as clean, locally available renewable energy resources. Replacing coal with biomass-derived energy is especially relevant for certain locations in China. For the case of Henan province, work has already been undertaken by the local authorities for the proper estimation of the biomass potential and the selection of most applicable energy conversion technologies with the lowest environmental footprint to replace aging coal-fired plants with various biomass-based power generation facilities. / Kolkraftverkens typiska stora kapacitet och relativt låga elproduktionskostnader på den kinesiska elmarknaden kan jämföras med deras typiskt låga specifika verkningsgrader och äldre ålder i genomsnitt. Samtidigt har miljöföroreningarna som orsakas av lokala kolkraftverk börjat uppmärksammas på riktigt i Kina. Hållbara förnybara energikällor och tillämpningen av effektiv konverteringsteknik för dessa har blivit en topprioritet för Kinas nuvarande energistrategi. Biomassa i allmänhet och anaerobisk biogas (rötgas) i synnerhet kan betraktas som rena och lokalt tillgängliga förnybara energiresurser. Byte av kol mot biobränslen blir särskilt relevant för vissa platser i Kina. När det gäller Henanprovinsen har en del arbete redan gjorts av de lokala myndigheterna för en korrekt uppskattning av biomasspotentialen och en analys av de mest tillämpliga teknologier för omvandling av bioenergi med lägsta miljöpåverkan som ersätter åldrande koleldade anläggningar med olika biobränslen.

Exposure to mercury poses significant risks to the health of humans and wildlife. Globally, coal-fired power plant (CFPP) is a major source of mercury emissions, with China being the largest contributor to global atmospheric mercury. As a signatory country of the Minamata Convention on Mercury, China is developing its National Implementation Plan on Mercury Control, which gives priority to control of mercury emissions from CFPPs. While social benefits play an important role in designing environmental policies in China, the potential public health and economic benefits of mercury control in the nation are not yet understood, mainly due to the scientific challenges to trace mercury’s emissions-to-impacts path. Moreover, little is known about the potential benefits for the neighboring countries in East Asia resulted from China’s mercury control. This study evaluates the health and economic benefits for China and neighboring countries in East Asia from mercury reductions from China’s CFPPs. Four representative mercury control policy scenarios are analyzed, and the evaluation is explicitly conducted following the policies-to-impacts path under each policy scenario. We link a global atmospheric model to health impact assessment and economic valuation models to estimate economic gains for China and its three neighboring countries (Japan, South Korea and North Korea) from avoided mercury-related adverse health outcomes under the four emission control scenarios, and also take into account the key uncertainties in the policies-to-impacts path. Under the most stringent control scenario, the cumulative benefit of the mercury reduction by 2030 is projected to be $430 billion for the four countries together (the 95% confidence interval is $102-903 billion, in 2010 USD). Our findings suggest that although China is the biggest beneficiary of the mercury reduction in CFPPs, neighboring countries including Japan, South Korea and North Korea can also benefit (~7% of the total benefits) from China’s mercury reduction.

Many contemporary grassroots environmental campaigns do not begin in urban areas but in small towns, rural enclaves, and racially or economically disadvantaged communities. Citizens with no previous activist experience or association with the established environmental movement organize to fight industry-created degradation in their communities, such as coal-fired power plants in Texas, the focus of this dissertation. The Texas coal plant opposition movement is identified as sites of environmental justice, particularly as discriminatory practices against sparsely populated communities. The movement’s collaborative efforts are defined as a new category of counterpublic, co-counterpublic, due to the discrete organizations’ shared focus and common purpose. The concept that a growing number of environmental activists are atypical is advanced; atypical environmentalists often engage in environmental practices while rejecting traditional environmentalist language and identity to avoid stigmatization as tree-huggers, extremists, or affluent whites. Presented are rhetorical analyses of identity negotiation and modalities of public enactments of citizenship within the Texas coal plant opposition movement and a critique of plant proponent hegemonic discourses. Research focused on five sites of coal plant opposition in Texas, gathered through ethnographic fieldwork and through a compilation of mediated materials. Asen’s discourse theory of citizenship was used to analyze the data for instances of rhetorical negotiation of environmentalist identity in politically conservative and in ethnically marginalized communities, their localized performances as public citizens, and the collaborative processes between established environmental groups and discrete local organizations. Texas anti-coal activists engaged in what Asen called hybrid citizenship; activists were primarily motivated toward enacted citizenship by a sense of betrayal by authorities. Issue and identity framing theories were implemented to critique rhetorical strategies used by plant proponents. In order to silence the opposition, plant supporters marginalized local anti-coal activists using what Cloud called identity frames by foil; proponents borrowed derogatory rhetorics from well-established anti-environmentalist discourse through which they self-identified positively by framing opponents as Other. The means through which proponents deflected their responsibility to the community by promoting technological solutions to pollution and deferring authority to industry executives and government agencies is analyzed within Chong and Druckman’s competing frames and frames in communication theories. / text

In power plants using large utility coal-fired boilers for generation of electricity the coal is pulverised in coal mills and then it has to be pneumatically transported and distributed to a larger number of burners (e.g. 30-40) circumferentially arranged in several rows around the burning chamber of the boiler. Besides the large pipework flow splitting devices are necessary for distribution of an equal amount of pulverised fuel (PF) to each of the burners. So called trifurcators (without inner fittings or guiding vanes) and ''riffle'' type bifurcators are commonly used to split the gas-coal particle flow into two or three pipes/channels with an equal amount of PF mass flow rate in each outflow cross section of the flow splitting device. These PF flow splitting devices are subject of a number of problems. First of all an uneven distribution of PF over the burners of a large utility boiler leads to operational and maintenance problems, increased level of unburned carbon and higher rates of NOX emissions. Maldistribution of fuel between burners caused by non uniform concentration of the PF (particle roping) in pipe and channel bends prior to flow splitting devices leads to uncontrolled differences in the fuel to air ratio between burners. This results in localised regions in the furnace which are fuel rich, where insufficient air causes incomplete combustion of the fuel. Other regions in the furnace become fuel lean, forming high local concentrations of NOX due to the high local concentrations of O2. Otherwise PF maldistribution can impact on power plant maintenance in terms of uneven wear on PF pipework, flow splitters as well as the effects on boiler panels (PF deposition, corrosion, slagging). In order to address these problems in establishing uniform PF distribution over the outlet cross sections of flow splitting devices in the pipework of coal-fired power plants the present paper deals with numerical prediction and analysis of the complex gas and coal particle (PF) flow through trifurcators and ''riffle'' type bifurcators. The numerical investigation is based on a 3-dimensional Eulerian- Lagrangian approach (MISTRAL/PartFlow-3D) developed by Frank et al. The numerical method is capable to predict isothermal, incompressible, steady gas- particle flows in 3-dimensional, geometrically complex flow geometries using boundary fitted, block-structured, numerical grids. Due to the very high numerical effort of the investigated gas-particle flows the numerical approach has been developed with special emphasis on efficient parallel computing on clusters of workstations or other high performance computing architectures. Besides the aerodynamically interaction between the carrier fluid phase and the PF particles the gas-particle flow is mainly influenced by particle-wall interactions with the outer wall boundaries and the inner fittings and guiding vanes of the investigated flow splitting devices. In order to allow accurate quantitative prediction of the motion of the disperse phase the numerical model requires detailed information about the particle-wall collision process. In commonly used physical models of the particle-wall interaction this is the knowledge or experimental prediction of the restitution coefficients (dynamic friction coefficient, coefficient of restitution) for the used combination of particle and wall material, e.g. PF particles on steel. In the present investigation these parameters of the particle-wall interaction model have been obtained from special experiments in two test facilities. Basic experiments to clarify the details of the particle-wall interaction process were made in a test facility with a spherical disk accelerator. This test facility furthermore provides the opportunity to investigate the bouncing process under normal pressure as well as under vacuum conditions, thus excluding aerodynamically influences on the motion of small particles in the near vicinity of solid wall surfaces (especially under small angles of attack). In this experiments spherical glass beads were used as particle material. In a second test facility we have investigated the real impact of non-spherical pulverised fuel particles on a steel/ceramic target. In this experiments PF particles were accelerated by an injector using inert gas like e.g. CO2 or N2 as the carrier phase in order to avoid dust explosion hazards. The obtained data for the particle-wall collision models were compared to those obtained for glass spheres, where bouncing models are proofed to be valid. Furthermore the second test facility was used to obtain particle erosion rates for PF particles on steel targets as a function of impact angles and velocities. The results of experimental investigations has been incorporated into the numerical model. Hereafter the numerical approach MISTRAL/PartFlow-3D has been applied to the PF flow through a ''riffle'' type bifurcator. Using ICEM/CFD-Hexa as grid generator a numerical mesh with approximately 4 million grid cells has been designed for approximation of the complex geometry of the flow splitting device with all its interior fittings and guiding vanes. Based on a predicted gas flow field a large number of PF particles are tracked throughout the flow geometry of the flow-splitter. Besides mean quantities of the particle flow field like e.g. local particle concentrations, mean particle velocities, distribution of mean particle diameter, etc. it is now possible to obtain information about particle erosion on riffle plates and guiding vanes of the flow splitting device. Furthermore the influence of different roping patterns in front of the flow splitter on the uniformness of PF mass flow rate splitting after the bifurcator has been investigated numerically. Results show the efficient operation of the investigated bifurcator in absence of particle roping, this means under conditions of an uniform PF particle concentration distribution in the inflow cross section of the bifurcator. If particle roping occurs and particle concentration differs over the pipe cross section in front of the bifurcator the equal PF particle mass flow rate splitting can be strongly deteriorated in dependence on the location and intensity of the particle rope or particle concentration irregularities. The presented results show the importance of further development of efficient rope splitting devices for applications in coal-fired power plants. Numerical analysis can be used as an efficient tool for their investigation and further optimisation under various operating and flow conditions.