Assessment of Wind Fin Performance Run by Mixed Flows: Experimental and Numerical Investigation

Wahhab, Hasanain A. Abdul; Aljabair, Sattar; Ayed, Sadoon

doi:10.1007/s13369-021-05843-w

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Depending on the interaction analysis of the technical, economic, and social effects, new data can be collected. The thermodynamic quantities have been introduced in order to describe the socio-economic system as a biosystem, based on Grisolia et al [39,40].…”

Section: Resultsmentioning

confidence: 99%

Exergo–Economic and Parametric Analysis of Waste Heat Recovery from Taji Gas Turbines Power Plant Using Rankine Cycle and Organic Rankine Cycle

Kareem,

Akroot,

Abdul Wahhab

et al. 2023

Sustainability

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This study focused on exergo–conomic and parametric analysis for Taji station in Baghdad. This station was chosen to reduce the emission of waste gases that pollute the environment, as it is located in a residential area, and to increase the production of electric power, since for a long time, Iraq has been a country that has suffered from a shortage of electricity. The main objective of this work is to integrate the Taji gas turbine’s power plant, which is in Baghdad, with the Rankine cycle and organic Rankine cycle to verify waste heat recovery to produce extra electricity and reduce emissions into the environment. Thermodynamic and exergoeconomic assessment of the combined Brayton cycle–Rankine cycle/Organic Rankin cycle (GSO CC) system, considering the three objective functions of the First- and Second-Law efficiencies and the total cost rates of the system, were applied. According to the findings, 258.2 MW of power is produced from the GSO CC system, whereas 167.3 MW of power is created for the Brayton cycle (BC) under the optimum operating conditions. It was demonstrated that the overall energy and exergy efficiencies, respectively, are 44.37% and 42.84% for the GSO CC system, while they are 28.74% and 27.75%, respectively, for the Brayton cycle. The findings indicate that the combustion chamber has the highest exergy degradation rate. The exergo–economic factor for the entire cycle is 37%, demonstrating that the cost of exergy destruction exceeds the cost of capital investment. Moreover, the cost of the energy produced by the GSO CC system is USD 9.03/MWh, whereas it is USD 8.24/MWh for BC. The results also indicate that the network of the GSO CC system decreases as the pressure ratio increases. Nonetheless, the GSO CC system’s efficiencies and costs increase with a rise in the pressure ratio until they reach a maximum and then decrease with further pressure ratio increases. The increase in the gas turbine inlet temperature and isentropic efficiency of the air compressor and gas turbine enhances the thermodynamic performance of the system; however, a further increase in these parameters increases the overall cost rates.

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Section: Resultsmentioning

confidence: 99%

Exergo–Economic and Parametric Analysis of Waste Heat Recovery from Taji Gas Turbines Power Plant Using Rankine Cycle and Organic Rankine Cycle

Kareem,

Akroot,

Abdul Wahhab

et al. 2023

Sustainability

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“…Another group of authors has applied optimization and heat transfer enhancement techniques to increase the equipment thermal performance (Reyes-Rodríguez & Moya-Rodríguez, 2016;Toimil & Gómez, 2017;Alam & Kim, 2018;Abdul-Wahhab et al, 2021). In this ambit, when heat exchangers network (HEN) retrofit methods are implemented, two main scenarios exist: fixed network structure, and topology modification.…”

Section: Introductionmentioning

confidence: 99%

Neuro-genetic approach for optimization of the water flowrates distribution on a hydrogen sulphide cooling system

Sánchez-Escalona¹,

Camaraza-Medina

Retirado-Mediaceja³

et al. 2021

JER is an international, peer-reviewed journal that publishes f

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Efficient utilities usage and enhanced heat transfer are imperative in todays’ industrial and technological processes. However, there are several facilities in the nickel industry not upgraded yet. This research studied a hydrogen sulphide production plant with limited heat exchange capacity. Within this context, a neuro-genetic procedure was proposed for optimization of the water flowrates distribution on a hydrogen sulphide gas coolers system. It relied on Genetic Algorithms, combined with an improved ɛ-NTU model for simulation of jacketed shell-and-tube heat exchangers. Artificial Neural Networks were furtherly applied to correlate the optimum water flowrates to predictive variables. The heat transfer incremental was estimated from 3695 to 10514 W, while reduction of the gas exit temperature was projected between 2.9 and 9.8 K. Calculated heat recovery averaged 12.44 %. The optimized water distribution scheme have improved the system energy performance. Applied concept of fixed network and unvaried overall feed water flowrate avoided the additional costs related to topology modifications. A technological solution was provided, consisting on installation of automatic valves and programmable flow control-loops linked to a PLC.

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Transient study of thermal stratification of full-scale chilled water storage tank during optimum discharge condition

Alesbe¹,

Wahhab²,

Aljabair³

2023

Journal of Energy Storage

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Assessment of Wind Fin Performance Run by Mixed Flows: Experimental and Numerical Investigation

Cited by 4 publications

References 24 publications

Exergo–Economic and Parametric Analysis of Waste Heat Recovery from Taji Gas Turbines Power Plant Using Rankine Cycle and Organic Rankine Cycle

Exergo–Economic and Parametric Analysis of Waste Heat Recovery from Taji Gas Turbines Power Plant Using Rankine Cycle and Organic Rankine Cycle

Neuro-genetic approach for optimization of the water flowrates distribution on a hydrogen sulphide cooling system

Transient study of thermal stratification of full-scale chilled water storage tank during optimum discharge condition

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