Research on energy saving and carbon reduction technology for coal-fired power plant pulverizing system
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By analyzing and researching the working principles and equipment characteristics of several typical coal-fired power plant pulverizing systems, the key to energy consumption in the operation of the pulverizing system is found, the potential for energy saving and carbon reduction in the pulverizing system is excavated, an energy saving optimization plan is proposed, and several typical cases are listed. The results show that the energy-saving optimization and transformation of the pulverizing system can reduce energy consumption, improve unit economy and safety, and reduce CO2 emissions.Keywords:
System optimization
Energy system
Carbon fibers
The energy consumption of cities is an important carbon emission source, so it is significant to develop a high efficiency energy system for the whole city.This study proposes an optimization process of planning and operation for low-carbon city energy system.The process is divided into four steps：estimation of city energy demand, optimization of energy technology selection and operation, minimum energy station number optimization, and site and network optimization.Based on these, most parts of the flow are tested by the data from a local government, showing its practicability.
Energy system
Carbon fibers
System optimization
Energy planning
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DCS retrofit for France ALSTOM's 2×360MW sub-critical coal-fired thermal power generating units of Huaneng Luohuang Power Plant is the process that the old ALSPA P320 control systems is replaced by latest OVATION systems of Emerson Control System (Shanghai) Co.,Ltd.,and auxiliary systems for DCS have also been retrofitted.At the same time,the original control system is optimized to improve the performance of control system.
System optimization
Distributed control system
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A Power Monitoring System (PMS) is a needed unit on a system Base Transceiver Station (BTS). In their operation, a PMS must have a reliable cooling system that operates for a long day. Therefore, a power consumption of a cooling system became a primary problem in PMS. Several studies have tried to solve this problem. This paper attempts to offer optimization of power consumption on the cooling system by using a Knowledge Base Temperature System (KBTS). Several experiments of the KBTS has been performed. There is a reduced power consumption for a cooling system of significant value. The system also maintains a shelter temperature in the permissible one for the system performs well.
Consumption
Base (topology)
System optimization
Transceiver
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Distributed energy systems can play an essential role in providing energy with substantial environmental and other benefits. This paper presents a multi-objective optimization model for the planning of distributed energy systems, aiming at simultaneous minimization of the total annual cost and greenhouse gas emissions. The impact of carbon tax rates on the optimal configuration and performance of a distributed energy system is evaluated based on the optimization model. A review of international policies on carbon taxes is performed for estimation of future carbon tax rates in China. Results show that the potential carbon tax in the future may not have significant impacts on the optimal configuration of a distributed energy system.
Carbon tax
Energy system
Minification
Carbon fibers
System optimization
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Energy system
System optimization
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Integrated energy systems (IESs), whose main features are complementary advantages and collaborative operation at various energies, provide support for improved energy utilization and renewable energy absorption and have become an inevitable choice for the energy revolution. However, because the dynamic characteristics of different energy conversion devices vary considerably, the behavior of output power change actions should be studied in finer timescales. For integrating heterogeneous energy sources and realizing the collaborative dispatch and control of multi-energy devices, a dynamic modeling and optimization dispatch strategy of IESs is proposed in this study. Furthermore, a double-loop optimization framework is established for the multitime, multivariable collaborative dispatch of IESs to reduce the source-load mismatch during system operation. The proposed strategy first describes the steady-state output and dynamic variable operating capability of the different energy conversion devices in an IES. Next, energy balance equations are established via nonlinear time-series modeling and power time-domain integration. Then, dynamic constraints are developed to adjust the device constraints in real time according to the system operating conditions, ensuring that the devices remain under the optimal operating condition while maintaining energy balance and stability. Finally, a case study is conducted on an energy station to perform system modeling and optimization analysis, and the effectiveness of the established model and proposed optimization strategy are verified through simulation experiments.
Economic Dispatch
System optimization
Energy system
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Energy system
System optimization
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We link the highly flexible Energy System Model Backbone with Life Cycle Assessments of energy system technologies to optimize various environmental impact indicators in addition to system costs.Additionally, we perform a multi-objective optimization of costs and environmental impacts and determine a pareto front to investigate interrelationships and trade-offs even further.We apply this to the power system of twelve central european countries with a special focus on the Rhenish Mining Area, a structural change region in western Germany, in the year 2040.This reveals a decrease in electricity generation in the region for all objective functions compared to 2020, as well as a strong preference for gas power for cost minimization and onshore wind power for minimization of environmental indicators.
Sustainable Energy
Energy system
System optimization
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Power-to-Gas
Carbon tax
Energy system
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The power consumption rates is one of the important economic index on the power plant.To debase the power consumption rates can debase the generating cost and improve the economic benefit of the power plant.Therefore,this paper analyses and computes the power consumption rates particularly on the 2×300MW units which is a steam power plant bidding engineering based on the optimum design for the plant load demand of each process system.The result shows that by optimizing design and scientific computing,the power consumption rates can be debased and at the same time the computing result is more precise.The result provides the more credible reference to debase the construction cost and make the economic analysis for the power plant in different phases a year.
Consumption
Power demand
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