A comparative thermo-ecological performance analysis of generalized irreversible solar-driven heat engines

Üst, Yasin; Arslan, Feyyaz; Ozsari, Ibrahim

doi:10.1016/j.renene.2017.06.091

Cited by 10 publications

(3 citation statements)

References 38 publications

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“…In general, solar energy appears to be the focus of the expanded energy sources in the country. Despite the late evolution, solar power integration into the grid has challenges and constraints, although advancements in heat engine models may optimize the power output and overall efficiency (Ust et al, 2017(Ust et al, , 2020.…”

Section: Discussionmentioning

confidence: 99%

“…Following the Paris Climate Change Accord in 2015 and the 23 rd Conference of the Parties 2017 (COP23), several countries have taken the initiative to decrease greenhouse gases by adopting renewable energy sources (Kim et al, 2018;Scherhaufer et al, 2017;Ust et al, 2017). Therefore, in recent years, most countries have turned to renewable energy sources, mainly wind and solar (Irfan, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the Brazilian project of energy expansion

Macedo

Nääs

2023

EUR J SUSTAIN DEV RES

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The Brazilian energy grid encompasses mainly hydroelectric power, despite investments in other energy sources. The country’s energy forecast is based on the demand and the contracted projects to supply the consumers’ needs. The present study aimed to analyze the Brazilian investment in energy based on the installed capacity and the country’s forecast. The research question evaluated whether the future energy investments comply with the country’s agreement in reducing emissions and focusing on sustainable development. Primary data were retrieved from governmental open sources and organized. The dependent variables were the data on installed capacity in 2021 (MW), forecast capacity for 2024 (MW), and growth (%). Applying the random forest model, data mining using the Rapidminer Studio was applied to the database. Decision tree algorithms were obtained involving the studied variables. The accuracy was 68% and kappa (<i>κ</i>)=0.60 (prediction result is suitable when accuracy is ≥60%, and <i>κ</i>≥0.60). Three decision tree models were selected to represent the chosen attributes based on the coherence of the decision flow amongst the studied variables. Using data mining, the prediction models of the energy investment in Brazil show the energy forecast for 2024. The current study points out that future investments in energy sources in the electric grid in Brazil aim for diversity since it plans for solar and wind energy sources; nevertheless, it also includes thermal and hydroelectric energy sources.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyzing the Brazilian project of energy expansion

Macedo

Nääs

2023

EUR J SUSTAIN DEV RES

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“…The ecological performance coefficient (ECOP) criterion, which uses the outputs of both the first and the second laws of thermodynamics together and provides information about both the performance and the ecological effects of the system, is another important criterion this study examines. Ust [34][35][36] proposed the objective function as being the power generated per entropy generation in heat engines instead of as an ecological function [37]. Many optimization studies have been carried out using the ECOP criterion, some of which are given below.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

Sigma J Eng Nat Sci - Sigma Müh Fen Bil Derg

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Oxy-combustion technologies are green energy systems and an impressive solution to climate change and global warming. This study presents a detailed exergy analysis obtained for oxy-combustion power systems in comparison with a conventional gas turbine power system. The results include net power, overal thermal efficiency, exergy destruction, exergy efficiency, power density, exergetic performance coefficient (EPC), ecological performance coefficient (ECOP), effective ecological power density (EFECPOD), and mean exergy density (MED), and cost of power density (COPD), which are calculated as functions of pressure and oxygen ratios. The conventional gas turbine power system obtained a pressure ratio for maximum net power of 20.8. Similarly, oxy-combustion power cycles at 26%, 28%, and 30% oxygen ratios have respective pressure ratios for maximum net power of 23.3, 27.4, and 29.7. Results from 24%-30% oxygen ratios are displayed to show the reactant oxygen's effect on the oxy-combustion power cycles. Increases in the pressure ratio show decreases in the total exergy destruction in both the conventional gas turbine power system and the oxy-combustion power systems. Meanwhile, increases in the pressure ratio show increases in the total efficiency, power density, exergy efficiency, EPC, EFFECPOD, and MED in both the conventional gas turbine and the oxy-combustion power systems. In addition, increases in the oxygen ratio in the oxycombustion power systems show different characteristics for these parameters based on the pressure ratio of the cycle. In terms of COPD, conventional gas turbine power systems are more advantageous than oxy-combustion power systems. Optimum COPD is obtained at a pressure ratio of 25.6.

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