Thermoeconomic and thermoenvironomic modeling and analysis of selected gas turbine power plants in Nigeria

Oyedepo, Sunday Olayinka; Fagbenle, R. O.; Adefila, S.S.; Alam, Md. Mahbub

doi:10.1002/ese3.79

Cited by 36 publications

(15 citation statements)

References 45 publications

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“…Through the unremitting research and exploration of many experts and scholars, it has become a more rigorous and mature discipline. 2,3 The application scope of exergoeconomic is very wide, which can be applied to the treatment of municipal solid waste and can also help to better understand what energy conversion system is. 4,5 At the same time, researchers have made some achievements in the research of energy utilization for sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Exergoeconomic analysis for crude oil gathering and transportation system in matrix pattern

Cheng

Liu

et al. 2019

Energy Science & Engineering

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Based on exergoeconomic theory, the energy consumption situation for a typical oil transfer station in eastern China is evaluated. According to the analysis of the distribution for logistics and exergy flow, the crude oil gathering and transportation system is divided into two subsystems: pipe network and oil transfer station. The unit exergoeconomic costs for each component exergy flow are calculated by computing method in matrix pattern, of which the pressure exergy and thermal exergy at the end of the process are 812.58 yuan/GJ and 1575.24 yuan/GJ, respectively. Simultaneously, exergoeconomic evaluation indicators such as exergy cost growth coefficient, relative cost difference, and exergoeconomic coefficient are calculated, which can conclude the weak link of technical system is heating furnace equipment. The growth value of its exergy cost growth coefficient is 14.988, the relative cost difference is 94.503, and the exergoeconomic coefficient is 9.046, so it has great potential for energy saving. Exergoeconomic analysis method can provide a scientific and effective method or basis during the energy‐saving reconstruction for oil gathering and transportation system.

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Section: Introductionmentioning

confidence: 99%

Exergoeconomic analysis for crude oil gathering and transportation system in matrix pattern

Cheng

Liu

et al. 2019

Energy Science & Engineering

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“…m ss = ξ ws ξ ws + ξ ss (35) where ξ ss and ξ ws are defined by [ where ξ ws and ξ ss are weak and strong solutions of LiBr.H 2 O (lithium-bromide) concentration of the refrigerant in that order; t a , t e , t c , and t g are temperatures of absorber, evaporator, condenser, and desorber, respectively. Specifics of the correlations of entropy and enthalpy and LiBr-H 2 O are presented elsewhere [32].…”

Section: Vapor Absorption System (Vab)mentioning

confidence: 99%

Exergoeconomic and Environmental Modeling of Integrated Polygeneration Power Plant with Biomass-Based Syngas Supplemental Firing

et al. 2020

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There is a burden of adequate energy supply for meeting demand and reducing emission to avoid the average global temperature of above 2 °C of the pre-industrial era. Therefore, this study presents the exergoeconomic and environmental analysis of a proposed integrated multi-generation plant (IMP), with supplemental biomass-based syngas firing. An in-service gas turbine plant, fired by natural gas, was retrofitted with a gas turbine (GT), steam turbine (ST), organic Rankine cycle (ORC) for cooling and power production, a modified Kalina cycle (KC) for power production and cooling, and a vapour absorption system (VAB) for cooling. The overall network, energy efficiency, and exergy efficiency of the IMP were estimated at 183 MW, 61.50% and 44.22%, respectively. The specific emissions were estimated at 122.2, 0.222, and 3.0 × 10−7 kg/MWh for CO2, NOx, and CO, respectively. Similarly, the harmful fuel emission factor, and newly introduced sustainability indicators—exergo-thermal index (ETI) and exergetic utility exponent (EUE)—were obtained as 0.00067, 0.675, and 0.734, respectively. The LCC of $1.58 million was obtained, with a payback of 4 years, while the unit cost of energy was estimated at 0.0166 $/kWh. The exergoeconomic factor and the relative cost difference of the IMP were obtained as 50.37% and 162.38%, respectively. The optimum operating parameters obtained by a genetic algorithm gave the plant’s total cost rate of 125.83 $/hr and exergy efficiency of 39.50%. The proposed system had the potential to drive the current energy transition crisis caused by the COVID-19 pandemic shock in the energy sector.

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“…45 Exergy concept is applied in several studies to investigate the performance of the systems and cycles. 46–50 Although exergy cannot be saved during a process, it is partially or totally lost due to irreversibility in the systems. In this regard, the contribution of all components and their contribution to the total exergy destruction through the system can be separately analyzed and calculated.…”

Section: Mathematical Modelingmentioning

confidence: 99%

Exergoeconomic comparison and optimization of organic Rankine cycle, trilateral Rankine cycle and transcritical carbon dioxide cycle for heat recovery of low-temperature geothermal water

Noroozian

Naeimi

Bidi

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part A:

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Depleting fossil fuel resources and the horrible environmental impacts due to burning fossil fuels emphasize the importance of using renewable energy resources such as geothermal and solar energies. This paper compares performance of CO2 transcritical cycle, organic Rankine cycle, and trilateral Rankine cycle using a low-temperature geothermal heat source. Thermodynamic analysis, exergetic analysis, economic analysis, and exergoeconomic analysis are applied for each of the aforementioned cycles. In addition, a sensitivity analysis is performed on the system, and the effects of geothermal heat source temperature, evaporator pinch point temperature, and turbine inlet pressure on the cycle's performance are evaluated. Finally, the systems are optimized in order to minimize product cost ratio and maximize exergetic efficiency by using the genetic algorithm. Results indicate that the maximum thermal efficiency is approximately 13.03% which belongs to organic Rankine cycle with R123 as working fluid. CO2 cycle has the maximum exergetic efficiency, equals to 46.13%. The minimum product cost ratio refers to the organic Rankine cycle with R245fa as working fluid. Moreover, sensitivity analysis shows that increasing geothermal heat source temperature results in higher output power, product cost ratio, and exergy destruction ratio in all cycles.

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Thermoeconomic and thermoenvironomic modeling and analysis of selected gas turbine power plants in Nigeria

Cited by 36 publications

References 45 publications

Exergoeconomic analysis for crude oil gathering and transportation system in matrix pattern

Exergoeconomic analysis for crude oil gathering and transportation system in matrix pattern

Exergoeconomic and Environmental Modeling of Integrated Polygeneration Power Plant with Biomass-Based Syngas Supplemental Firing

Exergoeconomic comparison and optimization of organic Rankine cycle, trilateral Rankine cycle and transcritical carbon dioxide cycle for heat recovery of low-temperature geothermal water

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