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Power industry contributes much to the air pollution. A variety of clean generation technologies have been adopted gradually by generators to control the emissions of nitrogen oxide (NOx), sulfur dioxide (SO2), and particular matters (PM), imposing significant impacts on the operation of power plants as well as power systems. This paper studies the emission characteristics towards multiple pollutants,...
With the goal of minimizing fuel consumption and torque tracking error, while also avoiding knock and misfire, a traditional engine controller may be conservative since it does not consider transient behavior. In this paper, an approximate nonlinear model predictive control (NMPC) is presented for use on a gasoline engine with exhaust gas recirculation (EGR). In the NMPC framework, a nonlinear dynamic...
This paper discusses approximate system identification of a gas turbine operating with closed loop feedback control of the fuel and airflow. The objective is to obtain multi-input multi-output linear dynamic models to capture the system dynamics over a wide operating range of the turbine. In the proposed approximate modeling, the dynamics of a gas turbine at multiple operating conditions is described...
According to present fuel saving situation, the process in real production is optimized to build airlines fuel-efficient project system. It makes for reducing expense cost of airline fuel, eases the pressure for a high cost, to improve the market competitiveness of enterprise. The paper concerns about airlines and combines with the theme of energy saving emission reduction and sustainable development...
Solid oxide fuel cells (SOFC) can be used for both distributed electricity generation and cogeneration purposes. They have higher efficiency and certain other advantages over proton exchange membrane fuel cells. However an important weak point of SOFC cells is their lifetime and durability. In particular, high temperature and fuel utilization variations resulting from load changes contribute to stack...
Solid Oxide Fuel Cells (SOFC) can serve a large variety of both mobile and stationary applications. In comparison with proton exchange membrane fuel cell technology they have higher efficiency and certain other advantages. However if their potential is to be fully exploited, tighter control is needed because of the SOFC sensitivity to high temperature and fuel utilization variations resulting from...
This paper proposes an observer-based state feedback control for controlling both the air-fuel-ratio (AFR) and the oxygen level of the three-way catalytic converter (TWC) in port-fuel-injection automotive gasoline engines. The operation of TWCs depends on the combustion mixture's air-fuel ratio as well as the oxygen storage level of the TWC. Accurate control of the air-fuel ratio is therefore required...
This paper presents an iterative method based on data to model non-linear functions in order to control non-linear dynamic systems. The fuzzy models obtained with this method are composed of a set of Takagi-Sugeno rules. The premise part of the rules uses fuzzy subsets with multidimensional membership functions.
Atmospheric pollution is an open problem that hits above all the cities. It is caused by different factors, as exhaust gas of the cars. To limit the emission level a three way catalytic converter is used to post-treat exhaust gases produced by combustion. The catalyst efficiency depends on the operating point; particularly during the warm-up phase the largest amount of pollutants is produced because...
Automotive Idle Speed Control is a critical issue in engine control fields. Essentially it is a highly nonlinear and time-varying problem. Its performance has a significant impact on fuel economy, emission levels, combustion stability, transient response, noise and vibration characteristics. This work aims at presenting a model-based control strategy for fuel consumption reduction during idle speed...
This paper deals with a model-based approach to stabilize the engine speed around a defined value. The engine speed is modeled as a non-linear model containing explicitly the expression of the fuel conversion efficiency. Generally speaking, in literature, the modeling of this quantity obtained from experiments has two main expressions defined as polynomial or exponential forms. This paper focuses...
Maintaining economical and ecological optimal conditions in a biomass firing unit is a very complex task, due to the fuel heterogeneity on the one hand, the complex combustion and boiler dynamics on the other hand. One probably inevitable way to attain the aforementioned objectives is by advanced modelbased control, which requires a dynamic model of the process. In this work, mathematical modeling...
Plant-wide control in a circulating fluidized bed (CFB) power plant is considered. In particular, the self-optimizing control approach is used. The main contribution is applying the analysis in a pilot-sized CFB, which has not been reported before. This work focuses on conventional air-fired CFB combustion, for which a lot of experience on control design is already available. Therefore the results...
The continuing increase in air travel demand combined with the saturation of air traffic networks lead to recurrent congestion episodes. Among the many elements responsible for the escalation of air traffic management costs, we focus particularly on the impact of conflict-resolution strategies that arise in congested networks. In air traffic control, a conflict occurs when two or more aircraft fly...
Air-ratio is an important engine parameter which relates closely to engine emissions, power, and brake-specific fuel consumption. Model predictive controller (MPC) is a well-known technique for air-ratio control. This paper utilizes two advanced techniques, discrete wavelet transformation (DWT) and relevance vector machine (RVM), to develop wavelet relevance vector machine model predictive controller...
The paper discusses the development of a state estimation tool for circulating fluidized bed (CFB) boiler dynamic hotloop models. Bayesian state estimation was used to determine inputs, states and time-variant parameters based on output observations. The goal was to apply advanced state estimation to the original nonlinear model and utilize it for reallife CFB applications. The main algorithm of the...
Hybrid topologies are now recognized as a good solution to reduce the fuel consumption of vehicles. The topologies and the associated energy management strategies have been long discussed in order to improve the fuel economy. However, the pollutant emission is seldom taken into account, although it can be greater with hybrid vehicles. This paper develops a method to find an optimal strategy of management...
For multidimensional nonlinear characteristics of gasoline engine air-fuel ratio, predictive model of the gasoline engine transient air-fuel ratio chaotic time series support vector machine is proposed. And use chaos RBF neural network to Identify fuel film dynamic parameters of transient air-fuel ratio, then obtained the calculated value of Air-fuel ratio according to the theoretical formula of air-fuel...
This paper is to present a simplified model to estimate aircraft fuel consumption using support vector algorithm. The method developed here can be implemented in fast-time airspace and airfield simulation application. A representative support vector network aided fuel consumption model is developed using data given in the route date and aircraft performance manual, support vector machine is trained...
With a continual increase in air aviation turnover and passenger numbers, the airline industry in China has significant opportunities and challenges, namely an increasing market demand and rising costs. In this paper, we first structurally divide Chinese airline costs into controllable and the uncontrollable costs, and then determine that the controllable costs are primarily related to aviation fuel...
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