Study on the general system integration optimization method of the solar aided coal-fired power generation system

Duan, Liqiang; Yang, Yongping; Yang, Zhiping; Yang, Laishun

doi:10.1016/j.energy.2018.12.054

Cited by 32 publications

(9 citation statements)

References 39 publications

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“…In this section, a general system integration optimization method (GIOM) 37 is developed for the integration scheme optimization. Due to the higher steam parameters, the higher pressure steam extraction leads to higher thermal efficiency, however the corresponding integration location at the same time requires higher molten salt temperature, resulting in more heat loss of the receiver, so these two factors should be traded off comprehensively to determine the optimal integration scheme.…”

Section: Optimization Methods Of Integration Schemementioning

confidence: 99%

“…The solar thermal net power generation is estimated by the equivalent enthalpy drop (EED) method 23,24,35,37,39 in this paper. As shown in Figure 2, the specific EED general formula of the steam extraction at every stage i can be expressed as follows:…”

Section: Evaluation Methods Of Solar Net Power Generationmentioning

confidence: 99%

“…Due to the higher steam parameters, the higher pressure steam extraction leads to higher thermal efficiency, however the corresponding integration location at the same time requires higher molten salt temperature, resulting in more heat loss of the receiver, so these two factors should be traded off comprehensively to determine the optimal integration scheme. In this section, a general system integration optimization method (GIOM) 37 is developed for the integration scheme optimization. The solar-electric…”

Section: Optimization Methods Of Integration Schemementioning

confidence: 99%

“…The plant location Delingha (37 Table 4. Both the main parameters of the coal-fired plant and the regenerative system are shown in Tables 5 and 6, respectively.…”

Section: Parameters the Values In This Papermentioning

confidence: 99%

“…The regenerative system of a 600 MWe supercritical plant is shown in Figure 2, the feedwater heaters (including the deaerator) are numbered as FH s 1 to FH s 8 in turn from the low pressure side to the high pressure side. According to the energy equilibrium and mass equilibrium equations of different types of feedwater heat exchangers, 37 the matrix thermal balance equation of the regenerative system can be expressed as follows: 20,38…”

Section: Turbine Modelmentioning

confidence: 99%

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Multi‐objective optimization of solar‐aided coal‐fired power generation system under off‐design work conditions

Wang

Duan

Yang

et al. 2019

Energy Science & Engineering

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Solar‐aided coal‐fired power generation (SAPG) has been attracting more and more attentions in recent years. However, the multi‐objective optimization of SAPG system considering off‐design work conditions has not been fully studied. In this paper, a general system integration optimization method (GIOM) has been developed for integration schemes optimization, and Nondominated Sorting Genetic Algorithm‐II (NSGA‐II) algorithm is used for multi‐objective optimization of SAPG system. As a case study, a SAPG system that refers to a real 600 MWe supercritical coal‐fired power plant is optimized based on a typical day. By simultaneous optimization of both initial investment (P) and solar net electric generation (Esolar), the solar subsystem design schemes are optimized as Pareto optimal set. At last, to maximum Esolar/P, the final design scheme is selected from the Pareto optimal set, whose Esolar and P are 237.6 MWh and 113.5 M$, respectively. The results show that, the final design scheme is a heliostat field with instantaneous optical efficiency of 63.24% at the design point, the receiver power rating is 133 MWt, the tower height is 136.6 m, and distances of successive rows of the three zones are 13.6, 17.7, and 24.5 m, respectively. A larger or smaller size of solar subsystem is considered to be uneconomical.

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Section: Optimization Methods Of Integration Schemementioning

confidence: 99%

Section: Evaluation Methods Of Solar Net Power Generationmentioning

confidence: 99%

Section: Optimization Methods Of Integration Schemementioning

confidence: 99%

“…The plant location Delingha (37 Table 4. Both the main parameters of the coal-fired plant and the regenerative system are shown in Tables 5 and 6, respectively.…”

Section: Parameters the Values In This Papermentioning

confidence: 99%