Relevant bibliographies by topics / Combustion optimization

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Combustion optimization'

Author: Grafiati
Published: 7 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "Combustion optimization"

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PRISACARIU, Vasile, and Alexandru TUDOSIE. "CONSIDERATIONS REGARDING JET ENGINE COMBUSTOR PARAMETERS." Review of the Air Force Academy XX, no. 1 (2022): 53–63. http://dx.doi.org/10.19062/1842-9238.2022.20.1.6.

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The thermo-gas dynamics of fuel combustion in the combustor of aircraft engines involves thermochemical activity and combustion dynamics, but also the geometric volume of the combustion process. Research around the topic provides clues regarding the fluctuations of the combustor’s performance depending on the fuels used and the kinetics of the gas mixture determined by the internal geometry of the combustor, clues that can help initiate numerical approaches regarding the optimization of the mixture and combustion temperatures. The article proposes an approach to the combustion process in jet engines both from the perspective of the fuels used and from the perspective of combustion thermo-gas dynamics through numerical analyzes designed to highlight the relevant parameters and performances of the jet engine combustor.
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Oleś, Sylwia, Jakub Mularski, Dariusz Pyka, Halina Pawlak-Kruczek, and Artur Pozarlik. "Optimization of Hydrogen Supercritical Oxy-Combustion in Gas Turbines." Fuels 6, no. 1 (2025): 6. https://doi.org/10.3390/fuels6010006.

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This study investigates the combustion of hydrogen in supercritical gas turbines, emphasizing the optimization of combustor design through computational fluid dynamics (CFD) simulations. Key parameters analysed include the number of oxygen inlets, operating pressure, excess working fluid in oxygen inlets, power output, and the use of different working fluids: supercritical argon (sAr) and supercritical xenon (sXe). The results highlight how these parameters influence temperature distribution, flame stability, and overall combustion efficiency. Findings suggest that increasing the number of oxygen inlets can significantly affect temperature profiles, while higher operating pressures lead to shorter flames. The dilution of oxygen by argon reduces the peak temperatures, and the choice of working fluid impacts cooling efficiency and flame dynamics. This study provides valuable information on optimizing the design of supercritical combustion chambers for hydrogen combustion in novel supercritical gas turbine systems.
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Khesin, M. "Combustion optimization using MPV combustion diagnostic and optimization systems — application experience." Fuel and Energy Abstracts 43, no. 4 (2002): 276. http://dx.doi.org/10.1016/s0140-6701(02)86412-8.

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Mahto, Navin, and Satyanarayanan R. Chakravarthy. "Comparison of Response Surface Based Preliminary Design Methodologies for a Gas Turbine Combustor." Defence Science Journal 74, no. 2 (2024): 216–24. http://dx.doi.org/10.14429/dsj.74.19624.

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Preliminary design of gas turbine combustor is a multi-objective optimization problem. The methodology to be used at the preliminary design stage depends on the freedom of design choices available. In this article, we explore three preliminary design methodologies for gas turbine combustor - M1: combustion liner design for a given casing; M2: combustion liner design without the casing and M3: coupled design of combustion liner and casing. A workflow for the automated design space exploration of gas turbine combustor using response surface methodology is presented. Computational fluid dynamics studies along with central composite design for design of experiments and genetic aggregation for response surface generation are used to quantify the combustor performance in design space. Comparison of three different design methodologies (M1, M2 and M3) is made to show how the choice of design methodology changes the available design space and limits/expands combustor performance. Candidate optimal designs and associated trade-offs from the optimization study are also presented. This study can aid combustor design engineers choose the most suitable preliminary design methodology for their specific use case.
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Ebrahimi, Mojtaba, Mohammad Najafi, and Seyed Ali Jazayeri. "Multi-input–multi-output optimization of reactivity-controlled compression-ignition combustion in a heavy-duty diesel engine running on natural gas/diesel fuel." International Journal of Engine Research 21, no. 3 (2019): 470–83. http://dx.doi.org/10.1177/1468087419832085.

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The aim of this study is to implement the multi-input–multi-output optimization of reactivity-controlled compression-ignition combustion in a heavy-duty diesel engine running on natural gas and diesel fuel. A single-cylinder heavy-duty diesel engine with a modified bathtub piston bowl profile is set on operation at 9.4 bar indicated mean effective pressure and running at a fixed engine speed of 1300 r/min. A certain amount of diesel fuel mass per cycle is fed into the engine at a fixed equivalence ratio without any exhaust gas recirculation. The optimization targets include reduction in engine emissions as much as possible, avoiding diesel knock occurrence, and achieving low temperature combustion concept with the least or no engine power losses. To implement the optimization, the effects of three control factors on the engine performance are assessed by the design of experiment concept—fractional factorial method. These selected control factors are intake temperature and intake pressure (both at intake valve closing) and the diesel fuel start of injection timing. Some randomized treatment combinations of chosen levels from the three selected control factors are employed to simulate reactivity-controlled compression-ignition combustion. Based on the engine’s responses derived from the simulation, reactivity-controlled compression-ignition combustion’s mathematical model is identified directly using an artificial neural network. Next, an optimization process is conducted using two different optimization algorithms, namely, genetic algorithm and particle swarm optimization algorithm. For assessing and validating the obtained optimal results, the obtained data are used to simulate reactivity-controlled compression-ignition combustion as the engine input factors. The results show that the proposed artificial neural network design is effectively capable of identifying reactivity-controlled compression-ignition combustion’s mathematical model. Also, by optimizing reactivity-controlled compression-ignition combustion through different optimization algorithms, the optimal range of the engine operation at 9.4 bar indicated mean effective pressure is well estimated and extended.
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LI, Yajun, Hongtao ZHENG, Chunliang ZHOU, and Mingming LIU. "B106 NUMERICAL SIMULATION AND OPTIMIZATION FOR COMBUSTION FLOW FIELD OF BURNER(Combustion-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–105_—_1–110_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-105_.

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Kidoguchi, Y., M. Sanda, and K. Miwa. "Experimental and Theoretical Optimization of Combustion Chamber and Fuel Distribution for the Low Emission Direct-Injection Diesel Engine." Journal of Engineering for Gas Turbines and Power 125, no. 1 (2002): 351–57. http://dx.doi.org/10.1115/1.1501077.

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Effects of combustion chamber geometry and initial mixture distribution on the combustion process were investigated in a direct-injection diesel engine. In the engine experiment, a high squish combustion chamber with a squish lip could reduce both NOx and particulate emissions with retarded injection timing. According to the results of CFD computation and phenomenological modeling, the high squish combustion chamber with a central pip is effective to keep the combusting mixture under the squish lip until the end of combustion and the combustion region forms rich and highly turbulent atmosphere. This kind of mixture distribution tends to reduce initial burning, resulting in restraint of NOx emission while keeping low particulate emission.
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Handoko, Susilo, Hendra Hendra, Hafid Suharyadi, and Totok Widiyanto. "Optimization Of Gas Turbine Performance 2.1 Using the Overhaul Combustion Inspection Method." Jurnal Polimesin 22, no. 1 (2024): 103. http://dx.doi.org/10.30811/jpl.v22i1.4221.

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Gas turbines are one type of internal combustion drive, the initial mover utilizes gas combustion as a fluid to rotate the turbine with internal combustion. Gas turbines at private companies producing electricity use the initial movers, namely gas turbines and steam turbines. Therefore, it is also called the "Steam Gas Power Plant/PLTGU.”Private company especially in Block 2, uses two gas turbine units with Mitsubishi GT 2.1 specifications which are used as the initial drive of the generator. Types of overhauls in gas turbines are divided into three, including turbine inspection, combustor inspection, and major inspection. In maintaining the reliability of the GT 2.1 Gas Turbine, an overhaul combustion inspection was carried out in the combustion chamber because there was an increase in heat rate of 17,9% which caused a decrease in thermal efficiency and net turbine power of the GT 2.1 Gas Turbine by 17% and 2,1%. So that steps are taken to optimize the GT 2.1 Gas Turbine with the combustion inspection method by repairing and cleaning the combustion bucket nozzle. Increased thermal efficiency by 27,8% or 27,13% to 36,01% from data before overhaul. This was also followed by an increase in compressor power and turbine power so that the net turbine power increased by 38% or 141339,35 hp to 195246,54 hp.
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Seume, J. R., N. Vortmeyer, W. Krause, et al. "Application of Active Combustion Instability Control to a Heavy Duty Gas Turbine." Journal of Engineering for Gas Turbines and Power 120, no. 4 (1998): 721–26. http://dx.doi.org/10.1115/1.2818459.

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During the prototype shop tests, the Model V84.3A ring combustor gas turbine unexpectedly exhibited a noticeable “humming” caused by self-excited flame vibrations in the combustion chamber for certain operating conditions. The amplitudes of the pressure fluctuations in the combustor were unusually high when compared to the previous experience with silo combustor machines. As part of the optimization program, the humming was investigated and analyzed. To date, combustion instabilities in real, complex combustors cannot be predicted analytically during the design phase. Therefore, and as a preventive measure against future surprises by “humming,” a feedback system was developed which counteracts combustion instabilities by modulation of the fuel flow rate with rapid valves (active instability control, AIC). The AIC achieved a reduction of combustion-induced pressure amplitudes by 86 percent. The Combustion instability in the Model V84.3A gas turbine was eliminated by changes of the combustor design. Therefore, the AIC is not required for the operation of customer gas turbines.
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V, Archith, Arqam Abdullah, Ashik R, and Adith Sagar Narayan. "Design and Optimization of Combustion Air Engine Simulator." International Journal of Scientific Engineering and Research 5, no. 4 (2017): 102–12. https://doi.org/10.70729/ijser151311.

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Dissertations / Theses on the topic "Combustion optimization"

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Sengupta, Jeet. "Combustion turbine operation and optimization model." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/13669.

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Doctor of Philosophy<br>Department of Mechanical and Nuclear Engineering<br>Donald Fenton<br>Combustion turbine performance deterioration, quantified by loss of system power, is an artifact of increased inlet air temperature and continuous degradation of the machine. Furthermore, the combustion turbine operator has to meet ever changing stricter emission levels. Different technologies exist to mitigate the impact of performance loss and meeting the emission standard. However an upgrade using one or more of the available technologies has associated capital and operating costs. Thus, there is a need for a tool that can evaluate power boosting and emission control technologies in concert with the machine maintenance strategy. This dissertation provides the turbine operator with a new and novel tool to examine each of the upgrades and determine its suitability both from the cost and technical stand point. The main contribution of this dissertation is a tool-kit called the Combustion Turbine Operation and Optimization Model (CTOOM) that can evaluate both power-boosting and emission control technologies. It also includes a machine maintenance model to account for degradation recovery. The tool-kit is made up a system level thermodynamic optimization solver (CTOOM-OPTIMIZE) and two one-dimensional, mean-line, aero-thermodynamic component level solvers for the compressor (CTOOMCOMP1DPERF) and the turbine (CTOOMTURB1DPERF) sections. In this work, the cogeneration system as given by the classical CGAM problem was used for system level optimization. The cost function was modified to include the cost of emissions while the maintenance cost of the combustion turbine was separated from the capital cost to include a degradation recovery model. Steam injection was evaluated for NO[subscript]x abatement, power boosting was examined by both the use of inlet air cooling and steam injection, and online washing was used for degradation recovery. Based on the cost coefficients used, it was seen that including the cost of emissions impact resulted in a significant increase in the operational cost. The outcomes of the component level solvers were compressor and turbine performance maps. It was demonstrated that these maps could be used to integrate the components with the system level information.
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Zebian, Hussam. "Multi-variable optimization of pressurized oxy-coal combustion." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67808.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 81-82).<br>Simultaneous multi-variable gradient-based optimization with multi-start is performed on a 300 MWe wet-recycling pressurized oxy-coal combustion process with carbon capture and sequestration. The model accounts for realistic component behavior such as heat losses, steam leaks, pressure drops, cycle irreversibilities, and other technological and economical considerations. The optimization study involves 16 variables, three of which are integer valued, and 10 constraints with the objective of maximizing thermal efficiency. The solution procedure follows active inequality constraints which are identified by thermodynamic-based analysis to facilitate convergence. Results of the multi-variable optimization are compared to a pressure sensitivity analysis similar to those performed in literature; the basecase of both assessments performed here is a favorable solution found in literature. Significant cycle performance improvements are obtained compared to this literature design at a much lower operating pressure and with moderate changes in the other operating variables. The effect of the variables on the cycle performance and on the constraints are analyzed and explained to obtain increased understanding of the actual behavior of the system. This study reflects the importance of simultaneous multi-variable optimization in revealing the system characteristics and uncovering the favorable solutions with higher efficiency than the atmospheric operation or those obtained by single variable sensitivity analysis.<br>by Hussam Zebian.<br>S.M.
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Higgins, Stuart James. "Design and Optimization of Post-Combustion CO2 Capture." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/80003.

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This dissertation describes the design and optimization of a CO2-capture unit using aqueous amines to remove of carbon dioxide from the flue gas of a coal-fired power plant. In particular we construct a monolithic model of a carbon capture unit and conduct a rigorous optimization to find the lowest solvent regeneration energy yet reported. Carbon capture is primarily motivated by environmental concerns. The goal of our work is to help make carbon capture and storage (CCS) a more efficient for the sort of universal deployment called for by the Intergovernmental Panel on Climate Change (IPCC) to stabilize anthropomorphic contributions to climate change, though there are commercial applications such as enhanced oil recovery (EOR). We employ the latest simulation tools from Aspen Tech to rigorously model, design, and optimize acid gas systems. We extend this modeling approach to leverage Aspen Plus in the .NET framework through Microsoft's Component Object Model (COM). Our work successfully increases the efficiency of acid gas capture. We report a result optimally implementing multiple energy-saving schemes to reach a thermal regeneration energy of 1.67 GJ/tonne. By contrast, the IPCC had reported that leading technologies range from 2.7 to 3.3 GJ/tonne in 2005. Our work has received significant endorsement for industrial implementation by the senior management from the world's second largest chemical corporation, Sinopec, as being the most efficient technology known today.<br>Ph. D.
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Gunasekaran, Surekha. "Optimization and hybridization of membrane-based oxy-combustion power plants." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81602.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 103-108).<br>This thesis considers the optimization and hybridization of advanced zero emissions power (AZEP) cycles. More specifically, existing flowsheets for zero and partial emissions are optimized, and new integration schemes with solar energy are proposed and analyzed. First, optimal design and operation of AZEP cycles, both zero and partial emissions, is considered. AZEP consists of a Brayton-like top cycle and a standard triple pressure heat recovery steam generator (HRSG) bottoming cycle, and a CO₂ separation and purification unit. The first-law efficiency is maximized as a function of CO₂ emissions with fixed ion transport membrane (ITM) size and consequently, variable power output. The optimization study involves 6 constraints, and 14 variables for the zero emissions cycle. The partial emissions cycle has one extra optimization variable. A two-step heuristic global optimization of the power cycle is performed. In the first step, the top cycle is optimized. In the next step, the bottoming cycle is optimized for fixed conditions of the top cycle. This procedure is repeated with different initial guesses for the optimization variables of the top cycle to obtain a near-global optimum. The optimization results in a significant increase in the efficiencies of AZEP100 and partial emissions cycles, in the range of 2-2.7 percentage points depending on cycle considered and ITM membrane temperature. This increase in efficiency is important with respect to viability of the partial emissions cycle compared to alternative power cycles. This viability is determined herein using a linear combination metric, which combines efficiency and CO₂ emissions. Optimization and simulations have shown that reducing the maximum membrane temperature results in an increase in the efficiency till membrane temperature reaches 850°C, after which the efficiency starts decreasing. However, reduced temperature results in dramatic drop in net power output of the power plant. In other words, membrane temperature results in a trade-off between power plant efficiency and power output. Second, different solar-thermal integration schemes for an AZEP cycle with total CO₂ capture are proposed and analyzed. The solar subsystem consists of a parabolic trough, a Concentrated Solar Thermal (CST) technology. Four different integration schemes with the bottoming cycle are considered: vaporization of high-pressure stream, preheating of high-pressure stream, heating of intermediate-pressure turbine inlet stream, and heating of low-pressure turbine inlet stream. The power outputs from these integration schemes are compared with each other and with the sum of the power outputs from corresponding standalone AZEP cycle and solar-thermal cycle. It is shown that vaporization of high-pressure stream in the bottoming cycle has the highest power output among the proposed integration schemes. The analysis shows that both the vaporization and heating of intermediate-pressure turbine inlet stream integration schemes have higher power output than the sum of the power outputs from corresponding stand-alone AZEP cycle and solar-thermal cycle. A comparison of the proposed vaporization scheme with existing hybrid technologies without carbon capture and sequestration (CCS) shows that it has a higher annual incremental solar efficiency than most hybrid technologies. Moreover, it has a higher solar share compared to -hybrid technologies with higher incremental efficiency. Hence, AZEP cycles are a promising option to be considered for solar-thermal hybridization.<br>by Surekha Gunasekaran.<br>S.M.
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Goldwitz, Joshua A. (Joshua Arlen) 1980. "Combustion optimization in a hydrogen-enhanced lean burn SI engine." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/27061.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.<br>Includes bibliographical references (p. 95-97).<br>Lean operation of spark ignition (SI) automotive engines offers attractive performance incentives. Lowered combustion temperatures inhibit NO[sub]x pollutant formation while reduced manifold throttling minimizes pumping losses, leading to higher efficiency. These benefits are offset by the reduced combustion speed of lean mixtures, which can lead to high cycle-to-cycle variation and unacceptable engine behavior characteristics. Hydrogen-enhancement can suppress the undesirable consequences of lean operation by accelerating the combustion process, thereby extending the "lean limit." Hydrogen can be produced onboard the vehicle with a plasmatron fuel reformer device. Combustion optimization experiments focused on three key areas: the ignition system, charge motion in the inlet ports, and mixture preparation. The ignition system tests compared a standard inductive coil scheme against high-energy discharge systems. Charge motion experiments focused on the impact of turbulence patterns generated by conventional restrictor plates as well as novel inlet flow modification cones. The turbulent motion of each configuration was characterized using swirl and tumble flow benches. Mixture preparation tests compared a standard single-hole pintle injector against a fine atomizing 12-hole injector. Lastly, a further series of trials was also run to investigate the impact of high exhaust gas recirculation (EGR) dilution rates on combustion stability. Results indicate that optimizations of the combustion system in conjunction with hydrogen-enhancement can extend the lean limit of operation by roughly 25% compared against the baseline configuration. Nearly half of this improvement may be attributed to improvements in the combustion system.<br>(cont.) An inductive ignition system in conjunction with a high tumble-motion inlet configuration leads to the highest levels of combustion performance. Furthermore, hydrogen enhancement affects a nearly constant absolute improvement in the lean misfire limit regardless of baseline combustion behavior. Conversely, the amount of improvement in the point of peak engine NIMEP output is inversely related to the level of baseline performance.<br>by Joshua A. Goldwitz.<br>S.M.
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Fürst, Magnus. "Uncertainty Quantification and Optimization of kinetic mechanisms for non-conventional combustion regimes: Turning uncertainties into possibilities." Doctoral thesis, Universite Libre de Bruxelles, 2020. https://dipot.ulb.ac.be/dspace/bitstream/2013/307514/5/contratMF.pdf.

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The usage of novel combustion technologies, such as Moderate or Intense Low-oxygen Dilution (MILD) combustion, in the future energy mix provides both a flexible and reliable energy supply, together with low emissions. The implementation though is highly situational and numerical studies can help in the assessment of said technologies. However, the existing uncertainties in numerical modeling of MILD combustion are quite significant, and as detailed kinetics should be considered while modeling MILD combustion, a major part of this uncertainty can be accredited to the kinetics. Combined with the fact that existing detailed mechanisms have been developed and validated against conventional combustion targets, there exists a gap between the performance of existing mechanism and experimental findings. To handle this discrepancy, Uncertainty Quantification (UQ) and Optimization are highly viable techniques for reducing this misfit, and have therefore been applied in this work. The strategy applied consisted of first determining the reactions which showed the largest impact towards the experimental targets, by not only considering the sensitivity, but also the uncertainty of the reactions. By using a so-called impact factor, the most influential reactions could be determined, and only the kinetic parameters with the highest impact factors were considered as uncertain in the optimization studies. The uncertainty range of the kinetic parameters were then determined using the uncertainty bounds of the rate coefficients, by finding the lines which intercepts the extreme points of these maximum and minimum rate coefficient curves. Based on this prior parameter space, the optimal combination of the uncertain parameters were determined using two different approaches. The first one utilized Surrogate Models (SMs) for predicting the behavior of changing the kinetic parameters. This is a highly efficient approach, as the computational effort is reduced drastically for each evaluation, and by comparing the physically viable parameter combinations within the pre-determined parameter space, the optimal point could be determined. However, due to limitations of the amount of uncertain parameters and experimental targets that can be used with SMs, an optimization toolbox was developed which uses a more direct optimization approach. The toolbox, called OptiSMOKE++, utilizes the optimization capabilities of DAKOTA, and the simulation of detailed kinetics in reactive systems by OpenSMOKE++. By using efficient optimization methods, the amount of evaluations needed to find the optimal combination of parameters can be drastically reduced. The tool was developed with a flexibility of choosing experimental targets, uncertain kinetic parameters, objective function and optimization method. To present these features, a series of test cases were used and the performance of OptiSMOKE++ was indeed satisfactory. As a final application, the toolbox OptiSMOKE++ was used for optimizing a kinetic mechanism with respect to a large set of experimental targets in MILD conditions. A large amount of uncertain kinetic parameters were also used in the optimization, and the optimized mechanism showed large improvements with respect to the experimental targets. It was also validated against experimental data consisting of species measurements in MILD conditions, and the optimized mechanism showed similar performance as that of the nominal mechanism. However, as the general trend of the species profiles were captured with the nominal mechanism, this was considered satisfactory. The work of this PhD has shown that the application of optimization to kinetic mechanism, can improve the performance of existing mechanism with respect to MILD combustion. Through the development of an efficient toolbox, a large set of experimental data can be used as targets for the optimization, at the same time as many uncertain kinetic parameters can be used contemporary.<br>Doctorat en Sciences de l'ingénieur et technologie<br>This work has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 643134, and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 714605.<br>info:eu-repo/semantics/nonPublished
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Grönwall, Fred. "Optimization of Burner Kiln7, Cementa Slite." Thesis, Institutionen för energi och teknik, SLU, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148689.

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Abstract   The fuel is put into the process through a burner pipe and this burner pipe is modified to reach a more efficient combustion. The primary target is to enable burning of heterogeneous alternative fuels and increase the production level. Other positive effects from this type of optimization is lowered specific fuel consumption and lowered CO2 emissions. A redundant burner is chosen for the project and overall the project steps are the following: 1. Installing a Jet air nozzle ring in a way so it can move both axially and radially due to temperature changes. 2. Remove the present refractory from the burner and order a new form to decrease the weight of the burner 3. Place a K6 blower in operating the axial channel. 4. Install Gauging equipment (Temp, pressure, ampere blower etc) 5. Carefully observe process values during the modified burners run in time. 6. Evaluate the results of the project 7. With the help of proven potential in the kiln system be able to convince management of the proceeds to invest in a new burner 8. If point 7 is fulfilled with the help of experience, be able to operate as a projectcoordinator in the purchase of a professional burner. This task will include coordinating the project group in various meetings and then lead to an RFQ (Request For Quotation). Results from the project show the great potential in an optimization of a burner at a cement plant. A production increase of 5% could be seen together with a lowered specific energy consumption which is extremely satisfactory results. Unfortunately a breakdown of the system occurred a bit down the path of optimisation that resulted in damages to the kiln. At this stage the optimization was stopped and the old burner was put back after finished kiln repair. Finally crucial to underline is that the proven results in this study convinced the Group Management of buying a new burner. The benefits from a professional tailor made burner are far greater than the cost of buying it. The payback time is roughly around a year for such an investment depending on current market conditions. In this report focus is put on the combustion process at a cement plant. Combustion is the heart of the cement making process and absolutely crucial to have under full control and well optimized.
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Jezek, Christoffer, and Fredrik Jones. "Diesel Combustion Modeling and Simulation for Torque Estimation and Parameter Optimization." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12117.

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<p>The current interest regarding how to stop the global warming has put focus on the automobile industry and forced them to produce vehicles/engines that are more environmental friendly. This has led to the development of increasingly complex controlsystem of the engines. The introduction of common-rail systems in regular automotives increased the demand of physical models that in an accurate way can describe the complex cycle within the combustion chamber. With these models implemented it is possible to test new strategies on engine steering in a cost- and time efficient way.</p><p>The main purpose with this report is to, build our own model based on the existing theoretical models in diesel engine combustion. The model has then been evaluated in a simulation environment using Matlab/Simulink. The model that has been implemented is a multi-zone type and is able to handle multiple injections.</p><p>The model that this thesis results in can in a good way predict both pressure and torque generated in the cylinder. More investigation in how the parameter settings behave in other work-points must be done to enhance the models accuracy. There is also some work left to do in the validation of the model but to make this possible more experimental data must be accessible.</p>
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O'Kresik, Stephen R. "Design and optimization of a hypersonic test facility for sub-scale testing." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FOKresik.pdf.

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Thesis (M.S. in Astronautical Engineering)--Naval Postgraduate School, December 2003.<br>Thesis advisor(s): Jose O. Sinibaldi, Garth V. Hobson. Includes bibliographical references (p. 69). Also available online.
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MOZO, MIGUEL ANGEL LEON. "OPTIMIZATION OF DUAL FUEL OPERATION IN INTERNAL COMBUSTION ENGINES USING ARTIFICIAL INTELLIGENCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14548@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>O objetivo deste trabalho é predizer e otimizar o desempenho de motores funcionando no modo bicombustível, diesel-gás natural, fazendo uso da inteligência artificial. Pretende-se determinar a taxa de substituição ótima do combustível original diesel pelo gás natural que minimize custos de operação (combustíveis) e emissões de poluentes, tais como: monóxido de carbono, CO, hidrocarbonetos, HC, e óxidos de nitrogênio, NOx, priorizando-se também a eficiência térmica. Os dados analisados foram obtidos de testes anteriormente realizados. O procedimento envolve treinamento, validação e teste (utilizando redes neurais). Com os dados analisados foram treinadas diferentes redes neurais 06 para a aprendizagem e predição, as quais vão prever mapas de novos valores baseando-se nos dados experimentais já apreendidos. Finalmente, e continuando com o processo de otimização (técnica de Algoritmos Genéticos), é determinada a melhor taxa de substituição de diesel-gás natural, com as menores taxas de emissões dentro dos mapas gerados. Os resultados indicam uma boa concordância entre os dados experimentais e os previstos pela rede neural. O processo de otimização utilizado determina os pontos de trabalho adequados para cada caso analisado.<br>The purpose of this study is to predict and optimize the internal combustion engine performance using diesel-natural gas fuel using the artificial intelligence. The ultimate goal is to determine the optimal substitution rate of natural gas to minimize the costs of operation and pollutants emissions such as carbon monoxide CO, hydrocarbons HC and nitrogen oxides NOx, considering the values of efficiency. The analyzed data are obtained from tests performed earlier. The procedure involves training, validation and test (using neural networks). Once these data were analyzed with different trained neural networks for learning and prediction, which are maps of the predicted values based on experimental data have been seized. Finally, and continuing with the process of optimization (technique of Genetic Algorithms), is given the best substitution rate of and lower emissions in the maps generated. The results indicate a good agreement between data and neural network, the process of optimization using certain items of work appropriate for each case analyzed.
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Books on the topic "Combustion optimization"

1

Shi, Yu, Hai-Wen Ge, and Rolf D. Reitz. Computational Optimization of Internal Combustion Engines. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-619-1.

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Zhou, Hao, and Kefa Cen. Combustion Optimization Based on Computational Intelligence. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7875-0.

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Shi, Yu. Computational optimization of internal combustion engines. Springer, 2011.

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D, Holdeman J., Samuelsen G. S, and Lewis Research Center, eds. Optimization of jet mixing into a rich, reacting crossflow. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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Steffen, Christopher J. Fuel injector design optimization for an annular scramjet geometry. NASA Glenn Research Center, 2003.

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Riehl, John. SRM-assisted trajectory for the GTX reference vehicle. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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Charles, Trefny, Kosareo Daniel, and NASA Glenn Research Center, eds. SRM-assisted trajectory for the GTX reference vehicle. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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D, Goodson Troy, Ledsinger Laura A, and United States. National Aeronautics and Space Administration., eds. Theory and computation of optimal low-and medium-thrust transfers. National Aeronautics and Space Administration, 1995.

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United States. National Aeronautics and Space Administration., ed. Theory and computation of optimal low- and medium-thrust transfers. National Aeronautics and Space Administration, 1994.

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D, Goodson Troy, Ledsinger Laura A, and United States. National Aeronautics and Space Administration., eds. Theory and computation of optimal low-and medium-thrust transfers. National Aeronautics and Space Administration, 1995.

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Book chapters on the topic "Combustion optimization"

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Zhou, Hao, and Kefa Cen. "Online Combustion Optimization System." In Advanced Topics in Science and Technology in China. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7875-0_7.

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Tomlin, Alison S., and Tamás Turányi. "Investigation and Improvement of Reaction Mechanisms Using Sensitivity Analysis and Optimization." In Cleaner Combustion. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5307-8_16.

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Shi, Yu, Hai-Wen Ge, and Rolf D. Reitz. "Assessment of Optimization and Regression Methods for Engine Optimization." In Computational Optimization of Internal Combustion Engines. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-619-1_4.

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Kusiak, Andrew, and Zhe Song. "Improving Combustion Performance by Online Learning." In Optimization in the Energy Industry. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88965-6_6.

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Lejeune, M., S. Michon, and M. Hedna. "Combustion Process Optimization for Euro 3." In Thermo- and Fluid-dynamic Processes in Diesel Engines. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04925-9_3.

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Albin Rajasingham, Thivaharan. "Mathematical Fundamentals of Optimization." In Nonlinear Model Predictive Control of Combustion Engines. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68010-7_3.

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Shi, Yu, Hai-Wen Ge, and Rolf D. Reitz. "Scaling Laws for Diesel Combustion Systems." In Computational Optimization of Internal Combustion Engines. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-619-1_5.

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Albin Rajasingham, Thivaharan. "Formulation of the Optimization Problem." In Nonlinear Model Predictive Control of Combustion Engines. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68010-7_6.

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Shi, Yu, Hai-Wen Ge, and Rolf D. Reitz. "Introduction." In Computational Optimization of Internal Combustion Engines. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-619-1_1.

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Shi, Yu, Hai-Wen Ge, and Rolf D. Reitz. "Fundamentals." In Computational Optimization of Internal Combustion Engines. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-619-1_2.

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Conference papers on the topic "Combustion optimization"

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Zhang, Jierui. "Optimization of hydrogen combustion engines: a simulation study." In Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), edited by Yuanhao Wang and Cristian Paul Chioncel. SPIE, 2024. https://doi.org/10.1117/12.3050222.

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Cipriani, Gianluca, Andrea Gori, Alessio Tiburi, Simone Castellani, Lorenzo Ciappi, and Giampaolo Manfrida. "SIMULATION OF METHANE COMBUSTION IN THE ALLAM CYCLE." In 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024). ECOS 2024, 2024. http://dx.doi.org/10.52202/077185-0083.

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Alt, Norbert W., Norbert Wiehagen, Christoph Steffens, and Stefan Heuer. "Comprehensive Combustion Noise Optimization." In SAE 2001 Noise & Vibration Conference & Exposition. SAE International, 2001. http://dx.doi.org/10.4271/2001-01-1510.

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Lal, Mihir, Miodrag Oljaca, Eugene Lubarsky, Dimitriy Shcherbik, Suresh Menon, and Balu Sekar. "Controlling Combustion Dynamics in a Swirl Combustor via Spray Optimization." In 39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-4517.

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Klimov, A., V. Bityurin, V. Brovkin, et al. "Optimization of Plasma Assisted Combustion." In 33rd Plasmadynamics and Lasers Conference. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-2250.

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Havlena, V., J. Findejs, and D. Pachner. "Combustion optimization with inferential sensing." In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1024536.

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Steinbach, Ch, N. Ulibarri, M. Garay, et al. "Combustion Optimization for the ALSTOM GT13E2 Gas Turbine." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90943.

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The NOx emissions of low NOx premix combustors are not only determined by the burner design, but also by the multi burner interaction and the related distribution of air and fuel flows to the individual burners. Often the factors that have a positive impact on NOx emission have a negative impact on the flame stability, so the main challenge is to find an optimum point with the lowest achievable NOx while maintaining good flame stability. The hottest flame zones are where most of the NOx is formed. Avoiding such zones in the combustor (by homogenization of the flame temperature) reduces NOx emissions significantly. Improving the flame stability and the combustion control allows the combustor to operate at a lower average flame temperature and NOx emissions. ALSTOM developed a combustion optimization package for the GT13E2. The optimization package development focused on three major issues: • Flame stability; • Homogenization of flame temperature distribution in the combustor; • Combustion control logic. The solution introduced consists of: • The reduction of cooling air entrainment in the primary flame zone for improved flame stability; • The optical measurement of the individual burner flame temperatures and their homogenization by burner tuning valves; • Closed loop control logic to control the combustion dependent on the pulsation signal. This paper shows how fundamental combustion research methods were applied to derive effective optimization measures. The flame temperature measurement technique will be presented along with results of the measurement and their application in homogenization of the combustor temperature distribution in an engine equipped with measures to improve flame stabilization. The main results achieved are: • Widening of the main burner group operation range; • Improved use of the low NOx operation range; • NOx reduction at the combustor pulsation limit and hence, large margins to the European emission limit (50 mg/m3 @ 15%O2).
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Hegde, Rashmi, and M. V. Bhaskara Rao. "Optimization mechanism applicable to abnormal combustion techniques for Hydrogen-fuelled Internal Combustion Engines." In 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2014. http://dx.doi.org/10.1109/peoco.2014.6814397.

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Leithgoeb, R., F. Henzinger, A. Fuerhapter, K. Gschweitl, and A. Zrim. "Optimization of New Advanced Combustion Systems Using Real-Time Combustion Control." In SAE 2003 World Congress & Exhibition. SAE International, 2003. http://dx.doi.org/10.4271/2003-01-1053.

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Paschereit, Christian Oliver, Bruno Schuermans, and Dirk Bu¨che. "Combustion Process Optimization Using Evolutionary Algorithm." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38393.

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Flame stabilization in a swirl-stabilized combustor occurs in an aerodynamically generated recirculation region which is a result of vortex breakdown. The characteristics of the recirculating flow are dependent on the swirl number and on axial pressure gradients. Coupling to downstream pressure pulsations is also possible. Flame stability and emission formation depend on flow and mixing properties. The mixing properties of the investigated burner can be influenced by the position and the amount of fuel injection into the burner. The fuel injection is controlled by two different setups using (a) 8 proportional valves to adjust the mass flow for each fuel injector individually or using (b) 16 digital valves to include or exclude fuel injectors along the distribution holes. The objectives are the minimization of NOx emissions and the reduction of pressure pulsations of the flame. These two objectives are conflicting, affecting the environment and the lifetime of the combustion chamber, respectively. A multi-objective evolutionary algorithm is applied to optimize the combustion process. Each optimization run results in an approximation of the Pareto front by a set of solutions of equal quality, each representing a different compromise between the conflicting objectives. One compromise solution is selected with NOx emissions reduced by 30%, while mainaining the pulsation level of the given standard burner design. Chemiluminescence pictures of this solution showed that a more uniform distribution of heat release in the recirculation zone was achieved. The results were confirmed in high pressure single burner tests. The suggested fuel injection pattern has been successfully implemented in engines with sufficient stability margins and good operational flexibility. This paper shows the careful development process from lab scale tests to full scale pressurized tests.
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Reports on the topic "Combustion optimization"

1

Alptekin, Gokhan. Oxy-Combustion System Process Optimization. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1752969.

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Kyriacos Zygourakis. MECHANISMS AND OPTIMIZATION OF COAL COMBUSTION. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/781762.

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Zygourakis, Kyriacos. MECHANISMS AND OPTIMIZATION OF COAL COMBUSTION. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/789667.

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Malavasi, Massimo, and Gregory Landegger. Optimization of Pressurized Oxy-Combustion with Flameless Reactor. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1167108.

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Dr. Richard J. Fruehan and Dr. R. J. Matway. Optimization of Post Combustion in Steelmaking (TRP 9925). Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/840945.

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Wang, Hai. Development and Optimization of a Comprehensive Kinetic Model of Hydrocarbon Fuel Combustion. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada422042.

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Keller, J., and P. Van Blarigan. Internal combustion engine report: Spark ignited ICE GenSet optimization and novel concept development. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/305628.

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Zygourakis, K. Mechanisms and optimization of coal combustion. Semiannual report, November 1, 1998--April 30, 1999. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/754422.

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Zygourakis, K. Mechanisms and optimization of coal combustion. Semiannual report, May 1, 1998--October 31, 1998. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/754423.

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Robertson, A., R. Garland, R. Newby, A. Rehmat, and L. Rubow. Second-generation pressurized fluidized bed combustion plant conceptual design and optimization of a second-generation PFB combustion plant, Phase 1, Task 1. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6955584.

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