Exergy performance and optimization potential of refrigeration plants in free cooling operation

Brenner, Lorenz; Tillenkamp, Frank; Ghiaus, Christian

doi:10.1016/j.energy.2020.118464

Cited by 9 publications

(2 citation statements)

References 18 publications

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“…𝐸 ̇𝑥𝑃;𝑘 𝐸 ̇𝑥𝐹;𝑘 (28) However, cycle performance can be determined by overall exergy efficiency, which can be accomplished by the following equation [29]:…”

Section: 𝜂 𝑒𝑥;𝑘 =mentioning

confidence: 99%

Energy, exergy, sustainability, and economic analysis of a waste heat recovery for a heavy fuel oil-based power plant using Kalina cycle integrated with Rankine cycle

Rahman,

Bandhan,

Husna

et al. 2024

Preprint

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In this study, a comparative analysis of the thermodynamic, exergy, economic, and environmental aspects of high-temperature Kalina cycle and the Rankine cycle integrated with the Kalina cycle has been investigated. The Kalina cycle either stand-alone or in combination with the Rankine cycle is examined using the diesel engine waste heat from the Katakhali 50 MW HFO-based peaking powerplant, Bangladesh as the heat source. EBSILON Professional software is used for simulation and finding out various state conditions of the cycle, whereas the engineering equation solver (EES) is used for parametric analysis. Results from this analysis indicate that a combined cycle can provide 348 kW more power output at an electricity cost of only 0.0175 $/kWh than stand-alone Kalina cycle. The combined cycle produces around 4075 kW with 27% and 59% as energy and exergy efficiencies, respectively. Meanwhile, the stand-alone cycle offers 3725 kW with 25% and 54% energy and exergy efficiencies. Economic analysis results show that the combined cycle involves capital costs of approximately $370,000 lower than the stand-alone Kalina cycle, primarily due to its high energy conversion. The payback period for the combined cycle is 1.94 years whereas 2.41 years for the stand-alone cycle. In addition, the combined cycle is almost 60% more environmentally sustainable. The best operating condition for the suggested configurations is set by parametric analysis to determine the high output power with low electricity cost. Finally, it can be concluded that the proposed model can be an effective combined model to generate power by recovering waste heat for the power plants operating in Bangladesh.

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“…𝐸 ̇𝑥𝑃;𝑘 𝐸 ̇𝑥𝐹;𝑘 (28) However, cycle performance can be determined by overall exergy efficiency, which can be accomplished by the following equation [29]:…”

Section: 𝜂 𝑒𝑥;𝑘 =mentioning

confidence: 99%

Energy, exergy, sustainability, and economic analysis of a waste heat recovery for a heavy fuel oil-based power plant using Kalina cycle integrated with Rankine cycle

Rahman,

Bandhan,

Husna

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Unlike energy analysis, which solely considers the quantity of energy input and output, exergy analysis plays a more significant role in assessing the efficiency of physical and chemical processes. Exergy analysis focuses on the capacity to perform work and examines energy in terms of its exergy and energy that is unable to be converted into work (irreversibility) [16][17][18] .…”

Section: Introductionmentioning

confidence: 99%

In-Depth Analysis of a Solar Panel Performance: Efficiency and Productivity Methods Examination Based on Numerical Model and Emotional Artificial Neural Network

Basem,

Opakhai,

Elbarbary

et al. 2024

Preprint

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This article presents an analysis and evaluation of the performance of a standard 200 W solar cell, with a particular emphasis on the energy and exergy aspects of the cell. A numerical model and a novel machine-learning model (Emotional Artificial Neural Network) were employed to simulate and ascertain the electrical characteristics of the system, encompassing the open-circuit voltage, short-circuit current, system resistances, maximum power point characteristics, and characteristic curves. A novel approach has yielded mathematical equations capable of calculating efficiency levels. The system's operational and electrical parameters, along with environmental conditions such as solar radiation, wind speed, and ambient temperature, were empirically observed and documented during a day. A comparative analysis was conducted to validate the model by comparing its results with the data provided by the manufacturer and the data gathered through experimental means. During the duration of the trial, spanning from 7:00 to 17:00, the results indicate that the energy efficiency rate exhibited variations within a range of 10.34 to 14.00 percent. The average energy efficiency assessed throughout this time period was found to be 13.6 percent. During the duration of the experiment, the degree of exergy efficiency exhibited variability, ranging from 13.57 to 16.41 percent, with an average value of 15.70 percent. Furthermore, the results of the EANN model indicate that the suggested method to forecasting energy, exergy, and power is feasible for simulating problems at a reduced computational expense compared to the numerical model.

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Enhancing energo-exergo-economic performance of Kalina cycle for low- to high-grade waste heat recovery: Design and optimization through deep learning methods

Dehghani

2021

Applied Thermal Engineering

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Exergy performance and optimization potential of refrigeration plants in free cooling operation

Cited by 9 publications

References 18 publications

Energy, exergy, sustainability, and economic analysis of a waste heat recovery for a heavy fuel oil-based power plant using Kalina cycle integrated with Rankine cycle

Energy, exergy, sustainability, and economic analysis of a waste heat recovery for a heavy fuel oil-based power plant using Kalina cycle integrated with Rankine cycle

In-Depth Analysis of a Solar Panel Performance: Efficiency and Productivity Methods Examination Based on Numerical Model and Emotional Artificial Neural Network

Enhancing energo-exergo-economic performance of Kalina cycle for low- to high-grade waste heat recovery: Design and optimization through deep learning methods

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