Performance analysis of a wind-solar hybrid power generation system

Ding, Zeyu; Hou, Haijun; Yu, Gang; Hu, Eric; Duan, Liqiang; Zhao, Jin

doi:10.1016/j.enconman.2018.11.080

Cited by 123 publications

(39 citation statements)

References 22 publications

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“…The project assumes buildings with a 12 m high tower which would contain eight wind turbines able to cogenerate power with a maximum capacity equal to 60 kW. (Ding et al 2019) demonstrate a wind-solar power generation system. The authors develop an iterative algorithm that analyses meteorological data in order to propose a thermal storage system based on wind and concentrated solar power -the Thermal Storage Wind-Concentrated Solar power system.…”

Section: Introductionmentioning

confidence: 99%

Analysis and optimisation of the hybrid renewable energy system

Palej¹,

Hassan²,

Kleszcz³

et al. 2019

Polityka Energetyczna – Energy Policy Journal

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Hybrid Renewable Energy Systems connected to the traditional power suppliers are an interesting technological solution in the field of energy engineering and the integration of renewable systems with other energy systems can significantly increase in energy reliability. In this paper, an analysis and optimization of the hybrid energy system, which uses photovoltaic modules and wind turbines components connected to the grid, is presented. The system components are optimized using two objectives criteria: economic and environmental. The optimization has been performed based on the experimental data acquired for the whole year. Results showed the optimal configuration for the hybrid system based on economical objective, that presents the best compromise between the number of components and total efficiency. This achieved the lowest cost of energy but with relatively high CO 2 emissions, while environmental objective results with lower CO 2 emissions and higher cost of energy and presents the best compromise between the number of components and system net present cost. It has been shown that a hybrid system can be optimized in such a way that CO 2 emission is maximally reduced and-separately-in terms of reducing the cost. However, the study shows that these two criteria cannot be optimized at the same time. Reducing the system cost increase CO 2 emission and enhancing ecological effect makes the system cost larger. However, depends on strategies, a balance between different optimization criteria can be found. Regardless of the strategy used economic criteria-which also indirect takes environmental aspects as a cost of penalties-should be considered as a major criterion of optimization while the other objectives including environmental objectives are less important.

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Section: Introductionmentioning

confidence: 99%

Analysis and optimisation of the hybrid renewable energy system

Palej¹,

Hassan²,

Kleszcz³

et al. 2019

Polityka Energetyczna – Energy Policy Journal

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“…The most immediate way is to reduce the fossil fuels use, and at the same time increase the proportion of renewable energy. [5][6][7][8][9][10] Many former researchers have conducted studies on the economic performance analysis or thermodynamic/exergy evaluation of a SAPG system. 3,4 Then the new technology, the synergetic power generation of traditional fossil fuel and renewable energy, emerges as the time require, and provides the possibility for the renewable energy utilization at low cost, high efficiency, and wild scope through the equipment sharing, and the good opportunity for the flexible operation by alternating between different energy resources.…”

Section: Introductionmentioning

confidence: 99%

“…Among these potential technical routes, the solar-aided coal-fired power generation (SAPG) has been proved to be a feasible and efficient hybridization way, from both the technical and economic aspects, and has been attracting more and more attentions in recent years. [5][6][7][8][9][10] Many former researchers have conducted studies on the economic performance analysis or thermodynamic/exergy evaluation of a SAPG system. Hu et al 2,11 reported the energy advantages and exergy advantages of a SAPG system based on a typical 500 MWe brown coal-fired power generation unit.…”

Section: Introductionmentioning

confidence: 99%

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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“…In designing procedure, weather forecasting is also used for accurate results of simulations. In [9], a new optimization method called Swine Flu modeling based on quarantine optimization is proposed to determine the optimal location and size of dispersed generation units in the distribution network, in order to minimize the active power losses. The above algorithm performs randomization through quarantine and healing.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of solar–wind hybrid system-connected to the network with cost-saving approach and improved network reliability index

Eslami¹,

Kamarposhti

2019

SN Appl. Sci.

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In this paper, the optimal design of a grid-connected the hybrid energy system for a sample area in the north Iran is studied. A new innovative cost-based objective function is proposed which is combination of life cycle cost and reliability cost. Also, loss of power supply probability (LPSP) criteria, is considered as constraint for ensuring at the same time certain level of system reliability. Designing process is implemented in such a way that the total cost of the system reaches its minimum. For this purpose, a modified version of Bee algorithm has been proposed to achieve this goal. In order to carry out studies, the actual sample system, whose data has been available, has been studied. The results indicate the good performance of proposed hybrid system to reduce system cost.

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Performance analysis of a wind-solar hybrid power generation system

Cited by 123 publications

References 22 publications

Analysis and optimisation of the hybrid renewable energy system

Analysis and optimisation of the hybrid renewable energy system

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

Optimal design of solar–wind hybrid system-connected to the network with cost-saving approach and improved network reliability index

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