Performance optimization of a regenerative Brayton heat engine coupled with a parabolic dish solar collector

Malali, Praveen; Chaturvedi, Sushil K.; Abdel-Salam, Tarek

doi:10.1016/j.enconman.2017.03.067

Cited by 25 publications

(4 citation statements)

References 19 publications

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“…Note that, in this paper the Q cond is ignored. Furthermore, to calculate the other two losses can be refer to Reference 51. Equation () describes how to calculate the PDC efficiency 52 :

η_{PDC} = \frac{q_{PDC}}{Q_{S}} .

Considering the energy balance for the PDC in the hybrid system, its efficiency can be determined as follows 52 :

η_{PDC} = η_{opt} - \frac{h \times ((), T_{H} - T_{0}) + ε \times δ \times ((), T_{H}^{4} - T_{0}^{4})}{I \times C},

where T 0 and T H are the ambient and absorber temperatures, respectively.…”

Section: System Descriptionmentioning

confidence: 99%

Numerical investigation of a new combined energy system includes parabolic dish solar collector, Stirling engine and thermoelectric device

et al. 2021

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Summary According to new findings, the use of clean energy sources such as solar energy to supply energy (both electricity and heat) to human societies is essential. On the other hand, choosing the appropriate technology to convert solar energy into useful energy in the form of individual or combined systems is a fundamental issue. Individual solar energy systems have inherently low performance. However, their use in hybrid energy systems with other energy generation devices is key solution and shows high performance. The present work provides the performance of a new combined energy system composed of the parabolic dish solar collector (PDC), Stirling engine (SE) and thermoelectric device (TD) under various parameters. Sun is the main source of energy in this system, where, sunlight is focused on the PDC focal point by the parabolic shaped mirrors. Thus, the useful thermal power is produced by PDC and then feeds to the SE. The operating fluid of the engine is heated by this heat and converted into mechanical energy. Then, the mechanical energy is converted into electricity by a generator connected to the SE and the excess heat is lost from the engine. The exhaust of the SE transferred to the TEG hot end and produces further electricity. In addition, the TEC module absorbs the cooled environment heat and produces cooling energy (by consuming electricity from the TEG). Therefore, the proposed combined process provides the electricity, heat and cooling. The paper is based on the following three scenarios: (1) the system performance is evaluated under constant climatic conditions, (2) climate data from five various cities in Europe and Asia are used for system operation and (3) this scenario presents the general comparison between the two different hybrid energy systems driven by PDC and linear Fresnel reflector (LFR). In addition, multi‐objective optimization is provided to obtain the optimal performance of the developed hybrid system. The optimization results showed that, the optimum total output electricity and overall efficiency were 26.21 kW and 39.17%, respectively. It was also found that, average daily useful power generated by PDC in Moscow on 14‐June is 373.97 W/m2, which is about 11.1%, 1.55%, 33.3% and 14.23% more than Tehran, Beijing, Geneva and Kiev, respectively. Furthermore, increasing the temperature of PDC absorber improves the performance of SE and TD and subsequently improves the overall operation. Also, in terms of the PDC numbers, the system in the cities of Tehran, Beijing and Moscow has a better justification compared to the other two cities (Geneva and Kiev).

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“…Note that, in this paper the Q cond is ignored. Furthermore, to calculate the other two losses can be refer to Reference 51. Equation () describes how to calculate the PDC efficiency 52 :

η_{PDC} = \frac{q_{PDC}}{Q_{S}} .

Considering the energy balance for the PDC in the hybrid system, its efficiency can be determined as follows 52 :

η_{PDC} = η_{opt} - \frac{h \times ((), T_{H} - T_{0}) + ε \times δ \times ((), T_{H}^{4} - T_{0}^{4})}{I \times C},

where T 0 and T H are the ambient and absorber temperatures, respectively.…”

Section: System Descriptionmentioning

confidence: 99%

Numerical investigation of a new combined energy system includes parabolic dish solar collector, Stirling engine and thermoelectric device

et al. 2021

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“…Meas et al [14] studied the effects of heating and cooling on the maximum net output power of open and restored solar Brayton cycles using a method of minimizing the entropy generation. Praveen et al [15] performed a detailed thermodynamic analysis of the dish solar collector based on the Brayton thermostat cycle and determined the important dimensionless parameters of the coupled system optimization performance. Recently, Khan [16] proposed a new parabolic dish solar collector with cavity receiver, working on three different thermal oil based nanofluids (Al 2 O 3 , CuO & TiO 2 ), which is integrated with supercritical carbon dioxide Brayton cycle for power production.…”

Section: Introductionmentioning

confidence: 99%

An Improved Bare Bone Multi-Objective Particle Swarm Optimization Algorithm for Solar Thermal Power Plants

et al. 2019

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Solar energy has many advantages, such as being abundant, clean and environmentally friendly. Solar power generation has been widely deployed worldwide as an important form of renewable energy. The solar thermal power generation is one of a few popular forms to utilize solar energy, yet its modelling is a complicated problem. In this paper, an improved bare bone multi-objective particle swarm optimization algorithm (IBBMOPSO) is proposed based on the bare bone multi-objective particle swarm optimization algorithm (BBMOPSO). The algorithm is first tested on a set of benchmark problems, confirming its efficacy and the convergency speed. Then, it is applied to optimize two typical solar power generation systems including the solar Stirling power generation and the solar Brayton power generation; the results show that the proposed algorithm outperforms other algorithms for multi-objective optimization problems.

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“…In the recuperator the air is preheated by hot exhaust air from the turbine before it enters the receiver. The recuperator allows for higher cycle efficiencies and operation at lower pressure ratios (Shah, 2005;Malali et al, 2017). The hot exhaust air leaving the cycle after the 7 recuperator can be used for cogeneration which increases the energy utilisation factor of the system (Le Roux, 2018).…”

Section: Introductionmentioning

confidence: 99%

Recuperated solar-dish Brayton cycle using turbocharger and short-term thermal storage

Roux

Sciacovelli

2019

Solar Energy

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Performance optimization of a regenerative Brayton heat engine coupled with a parabolic dish solar collector

Cited by 25 publications

References 19 publications

Numerical investigation of a new combined energy system includes parabolic dish solar collector, Stirling engine and thermoelectric device

Numerical investigation of a new combined energy system includes parabolic dish solar collector, Stirling engine and thermoelectric device

An Improved Bare Bone Multi-Objective Particle Swarm Optimization Algorithm for Solar Thermal Power Plants

Recuperated solar-dish Brayton cycle using turbocharger and short-term thermal storage

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