Exergy Analysis and Its Applications – 2nd Volume

Topic Information

Dear Colleagues,

Due to the energy crisis and its environmental impact, improving the efficiency of cooling, power, and energy systems has become one of the most important aspects of the energy sector. Thermodynamic and exergy analyses provide better insight for the design, development, optimization, and performance improvement of these cooling, power, and energy systems. This Topic aims to address the current pressing problems in the development of advanced and innovative cooling, power, and energy systems using thermodynamic and exergy analyses.

Papers are invited that investigate thermal and operational characteristics of novel and creative systems, and improved conventional cooling power and energy systems. Topics may include studies on the system components and whole cycles related to the cooling, energy, and power systems. Additionally, papers are welcome that deal with the thermodynamic process of the currently hot and new technologies that are proposed for energy savings or for the purpose of environmental protection. System and components optimization through thermodynamic and exergy analyses for performance enhancement is also very welcome.

Prof. Dr. Xiaolin Wang
Prof. Dr. Firoz Alam
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.7	4.5	2011	16.9 Days	CHF 2400
Energies energies	3.2	5.5	2008	16.1 Days	CHF 2600
Entropy entropy	2.7	4.7	1999	20.8 Days	CHF 2600
Processes processes	3.5	4.7	2013	13.7 Days	CHF 2400
Thermo thermo	-	-	2021	23.2 Days	CHF 1000

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Published Papers (4 papers)

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20 pages, 2764 KiB  

Open AccessArticle

Economic, Exergoeconomic and Exergoenvironmental Evaluation of Gas Cycle Power Plant Based on Different Compressor Configurations

by Hamad H. Almutairi, Abdulrahman S. Almutairi, Suleiman M. Suleiman, Abdulrahman H. Alenezi, Khalid A. Alkhulaifi and Hamad M. Alhajeri

Processes 2023, 11(4), 1023; https://doi.org/10.3390/pr11041023 - 28 Mar 2023

Cited by 1 | Viewed by 1092

Abstract

The decision-making process behind the selection of a gas turbine engine (GT) is crucial and must be made in accordance with economic, environmental, and technical requirements. This paper presents the relevant economic, exergoeconomic and exergoenvironmental analyses for four GT engines with different compressor [...] Read more.

The decision-making process behind the selection of a gas turbine engine (GT) is crucial and must be made in accordance with economic, environmental, and technical requirements. This paper presents the relevant economic, exergoeconomic and exergoenvironmental analyses for four GT engines with different compressor configurations. The GT engine configurations are identified according to the type of compressor: axial, axial-centrifugal, two-stage centrifugal, and centrifugal-centrifugal. The performances of the four GT engines were validated against manufacturer supplied data using specialized software. The economic analysis, a detailed life cycle costing considering the cost to be paid per unit net power obtained from the GT, and subsequent shortest payback period showed that the GT with centrifugal-centrifugal compressor was most economically feasible. This was followed, in order, by the GT-axial, GT-axial-centrifugal, and finally the GT-two-stage centrifugal configuration, where the cost of ownership for a 20 year plan ranges between 8000 USD/kW to about 12,000 USD/kW at different operational scenarios during the life cycle costing. Exergoeconomic assessment provided useful information to enhance the cost-effectiveness of all four systems by evaluating each component separately. The axial-centrifugal configuration registered the lowest CO₂ emissions (about 0.7 kg/kWh); all environmental indicators confirmed it is the most environmentally friendly option. Full article

(This article belongs to the Topic Exergy Analysis and Its Applications – 2nd Volume)

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28 pages, 6295 KiB  

Open AccessArticle

Optimal Power Flow Solutions for Power System Considering Electric Market and Renewable Energy

by Thang Trung Nguyen, Hung Duc Nguyen and Minh Quan Duong

Appl. Sci. 2023, 13(5), 3330; https://doi.org/10.3390/app13053330 - 06 Mar 2023

Cited by 3 | Viewed by 1940

Abstract

The paper applies jellyfish search algorithm (JSA) for reaching the maximum profit of IEEE 30-node and IEEE 118-node transmission power networks considering electrical market and wind turbines (WTs). JSA is compared with the particle swarm optimization (PSO), genetic algorithm (GA), moth swarm algorithm [...] Read more.

The paper applies jellyfish search algorithm (JSA) for reaching the maximum profit of IEEE 30-node and IEEE 118-node transmission power networks considering electrical market and wind turbines (WTs). JSA is compared with the particle swarm optimization (PSO), genetic algorithm (GA), moth swarm algorithm (MSA), salp swarm algorithm (SSA), and water cycle algorithm (WCA) for three study cases. The same and different electric prices for all nodes are, respectively, considered in Case 1 and Case 2, whereas Case 3 considers different prices and the placement of one WT. As a result, JSA can reach higher profit than MSA, SSA, WCA, PSO, and GA by 1.2%, 2.44%, 1.7%, 1.3%, and 1.02% for Cases 1, 2, and 3. Then, JSA is applied for optimizing the placement of from two to four WTs for the first system, and from zero to five wind farms (WF) for the second systems. Comparison of profits from the study cases indicates that the network can reach higher profit if more WTs and WFs are optimally placed. The placement of four WTs can support the two systems to reach higher profit by $130.3 and $34770.4, respectively. The greater profits are equivalent to 2.6% and 97.2% the profit of the base system. On the other hand, the obtained results also reveal the important order of location for installing wind power generators. The important order of nodes is, respectively, Nodes 5, 2, 1, and 10 for the first system, as well as Nodes 29, 31, 71, 45, and 47 for the second system. Thus, it is recommended that renewable energies are very useful in improving profit for transmission power systems, and the solutions of installing renewable energy-based generators should be determined by high performance algorithms, such as JSA. Full article

(This article belongs to the Topic Exergy Analysis and Its Applications – 2nd Volume)

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37 pages, 27494 KiB  

Open AccessArticle

4E Assessment of an Organic Rankine Cycle (ORC) Activated with Waste Heat of a Flash–Binary Geothermal Power Plant

by Víctor M. Ambriz-Díaz, Israel Y. Rosas, Oscar Chávez and Carlos Rubio-Maya

Entropy 2022, 24(12), 1832; https://doi.org/10.3390/e24121832 - 15 Dec 2022

Cited by 1 | Viewed by 1869

Abstract

In this paper, the 4E assessment (Energetic, Exergetic, Exergoeconomic and Exergoenvironmental) of a low-temperature ORC activated by two different alternatives is presented. The first alternative (S1) contemplates the activation of the ORC through the recovery of waste heat from a flash–binary geothermal power [...] Read more.

In this paper, the 4E assessment (Energetic, Exergetic, Exergoeconomic and Exergoenvironmental) of a low-temperature ORC activated by two different alternatives is presented. The first alternative (S1) contemplates the activation of the ORC through the recovery of waste heat from a flash–binary geothermal power plant. The second alternative (S2) contemplates the activation of the ORC using direct heat from a geothermal well. For both alternatives, the energetic and exergetic models were established. At the same time, the economic and environmental impact models were developed. Finally, based on the combination of the exergy concepts and the economic and ecological indicators, the exergoeconomic and exergoenvironmental performances of the ORC were obtained. The results show higher economic, exergoeconomic and exergoenvironmental profitability for S1. Besides, for the alternative S1, the ORC cycle has an acceptable economic profitability for a net power of 358.4 kW at a temperature of 110 °C, while for S2, this profitability starts being attractive for a power 2.65 times greater than S1 and with a temperature higher than 135 °C. In conclusion, the above represents an area of opportunity and a considerable advantage for the implementation of the ORC in the recovery of waste heat from flash–binary geothermal power plants. Full article

(This article belongs to the Topic Exergy Analysis and Its Applications – 2nd Volume)

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22 pages, 7751 KiB  

Open AccessArticle

Stator Curvature Optimization and Analysis of Axial Hydraulic Vane Pumps

by Yongguo Sun, Dong Xue, Shisheng Liu, Jinghang Wu and Xingyu Bai

Energies 2022, 15(17), 6229; https://doi.org/10.3390/en15176229 - 26 Aug 2022

Cited by 1 | Viewed by 1597

Abstract

Aiming at the problem of large vibration of a high-subside stator inner cavity curve vane pump, the force analysis of the vane at the transition curve is carried out, and the functional relationship between the vane turning angle θ, the large arc [...] Read more.

Aiming at the problem of large vibration of a high-subside stator inner cavity curve vane pump, the force analysis of the vane at the transition curve is carried out, and the functional relationship between the vane turning angle θ, the large arc radius R, the small arc radius r and the sliding friction is established. The particle swarm algorithm is used to optimize the solution of the objective function, and the optimized parameter values are brought into the MATLAB simulation program to obtain the optimized stator curve profile diagram. The dynamic performance of the vane pump before and after optimization is simulated using ADAMS. The results show that: the acceleration of the vane pump slide is significantly reduced; the friction between the slide and the slide groove is significantly reduced; the contact force between the slide and the stator is significantly reduced; the impact vibration of the optimized vane pump is significantly reduced; and the dynamic performance of the vane pump is improved. Full article

(This article belongs to the Topic Exergy Analysis and Its Applications – 2nd Volume)

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