Exergy, Exergoeconomic Optimization and Exergoenvironmental Analysis of a Hybrid Solar, Wind, and Marine Energy Power System: A Strategy for Carbon-Free Electrical Production DOI Creative Commons
Rahadian Zainul,

Ali Basem,

Mohamad J. Alfaker

и другие.

Heliyon, Год журнала: 2024, Номер 10(16), С. e35171 - e35171

Опубликована: Авг. 1, 2024

In this research, aligned with global policies aimed at reducing CO2 emissions from traditional power plants, we developed a holistic energy system utilizing solar, wind, and ocean thermal sources, tailored to regions optimal for conversion (OTEC). The selected site, characterized by favorable wind solar conditions close areas high OTEC potential, is designed meet the electricity needs of coastal community. system's core components include an Organic Rankine Cycle, turbines, thermoelectric elements, pumps, heat exchanger, turbine, collector. A detailed analysis thermodynamic evaluation based on principles were carried out using Engineering Equation Solver (EES) software. Key factors such as speed, radiation, collector area critical in determining performance. To enhance effectiveness, conducted comprehensive comparison optimization algorithms, incorporating Non-dominated Sorting Genetic Algorithm-II (NSGA-II) Pareto front value optimization. This approach significantly outperformed other algorithms Particle Swarm Optimization (PSO), Algorithm (GA), Simulated Annealing (SA) terms efficiency cost-effectiveness. achieved exergy 14.46 % cost rate $74.98 per hour, demonstrating its suitability intended functions. Moreover, exergoenvironmental was proposed plant. findings revealed that key component HEX has factor due their use hot water, which zero unit impact. Additionally, pumps demonstrated impact factor, indicating negligible component-related environmental impacts. Sensitivity further evaluated performance parameters, revealing increases irradiation lead decreased total rates, while higher turbine temperatures resulted remarkable 14.08 reduction rate. These results underscore economic viability operating strengthen argument adoption financial perspective.

Язык: Английский

Multi-criteria/comparative analysis and multi-objective optimization of a hybrid solar/geothermal source system integrated with a carnot battery DOI Creative Commons

Badreddine Ayadi,

Dheyaa J. Jasim, Ali E. Anqi

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 54, С. 104031 - 104031

Опубликована: Янв. 18, 2024

Among the different electrical energy storage technologies, Carnot batteries are promising options with low specific cost that do not suffer from geographical limitations and power-capacity coupling. In addition to power balancing, this approach can also be unique for multi-vector management. A comprehensive evaluation (thermodynamic design exergoenvironmental exergoeconomic evaluations), comparison, multi-objective optimization of four battery configurations based on solar-electric a geothermal source is presented. Geothermal simultaneously improve thermodynamic environmental performances battery. The main structure all obtained PV captured thermal source. Brayton, heat pump, flash, organic Rankine cycle (ORC) units periodically integrated. outcomes point out discharging process an ORC unit flash-heat pump (F-HPC)-based charging makes more optimal heat-to-power efficiency. Moreover, regenerative-Brayton (R-BC) has higher investment rate compared (in process). When integrating geothermal, third configuration (R-HPC/R-BC) experiences greatest improvement (5.3-fold) due increase in received

Язык: Английский

Процитировано

21

Comprehensive examination and analysis of thermodynamics in a multi-generation hydrogen, heat, and power system based on plastic waste gasification integrated biogas -fueled chemical looping combustion DOI
Ali Akbar Darabadi Zare, Mortaza Yari

Process Safety and Environmental Protection, Год журнала: 2024, Номер 183, С. 976 - 991

Опубликована: Янв. 24, 2024

Язык: Английский

Процитировано

19

Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf optimization algorithm and neural networks DOI
Mohammad Mahdi Forootan, Abolfazl Ahmadi

Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 200, С. 114616 - 114616

Опубликована: Июнь 3, 2024

Язык: Английский

Процитировано

16

Optimizing industrial Energy: An Eco-Efficient system for integrated Power, Oxygen, and methanol production using coke plant waste heat and electrolysis DOI Creative Commons
Amir Ghasemi, Hima Nikafshan Rad, Nima Izadyar

и другие.

Energy Conversion and Management X, Год журнала: 2024, Номер 22, С. 100571 - 100571

Опубликована: Март 16, 2024

This research presents a novel, eco-efficient hybrid system designed for the simultaneous production of power, oxygen, and methanol. It utilizes energy from coke plants incorporates state-of-the-art waste heat recovery processes (WHRPs). The effectively merges electricity methanol with WHRPs, improving both environmental sustainability economic feasibility in industrial transformation. consists fuel reforming combustion unit, unit hydrogen gas through water electrolysis, synthesis module. configuration enables 12.72 MW electricity, 0.51 kg/s 0.53 methanol, achieving an productivity 46.8 % exergy efficiency 85.13 %. analysis indicates competitive costs $0.099 per kWh $0.56 kg surpasses current technologies thermodynamic efficiency, operational product costs, reduced CO2 emissions, demonstrating its potential as sustainable economically sound solution challenges. supports global initiatives fits within circular economy concept.

Язык: Английский

Процитировано

12

Comprehensive analysis and optimization of a low-carbon multi-generation system driven by municipal solid waste and solar thermal energy integrated with a microbial fuel cell DOI Creative Commons
Hanning Wang,

Mingxiao Song,

Mohammad Taghavi

и другие.

International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 455 - 467

Опубликована: Янв. 1, 2024

Abstract In this article, a novel multi-generation plant is addressed and assessed from the energy, exergy, exergoenvironmental exergoeconomic points of view. The composed two main units: one unit for energy production another carbon capture methanol synthesis. Biomass fuel, solar seawater are nutrients in plant. Steam, Brayton, organic Rankine Kalina cycles have been employed to generate electricity. A linear Fresnel collector-driven farm considered as an auxiliary heat source. addition, integrated desalination based on multi-effect unit, microbial fuel cell reverse osmosis has installed proposed structure offered designed under new configuration layout that had not reported publications. From outcomes, can produce 69.6 MW net electricity, 0.53 kg/s methanol, 0.81 oxygen gas, 73.8 fresh water ~0.015 hydrogen gas. Under such performance, be 51.72 27.5% efficient view respectively. Further, total cost rate environmental impact ~3378 US$/h 294.1 mPts/s, comparative analysis developed exhibit superiority planned five-objective optimization also achieve optimum design data outcomes

Язык: Английский

Процитировано

11

Low-carbon multigeneration system integrating solar collectors, biowaste gasification, and water harvesting: Thermodynamic and economic optimization DOI

Fenghong Pan,

Jianjun Lan

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 125789 - 125789

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Exergoeconomic optimization and environmental analysis of a novel Waste-to-Energy cogeneration system with zeotropic mixtures as working fluids DOI
Mohammadreza Babaei Khuyinrud, Ali Shokri Kalan, Hamed Ghiasirad

и другие.

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 106976 - 106976

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Multi-variable assessment/optimization of a new two-source multigeneration system integrated with a solid oxide fuel cell DOI

Lifang Tian,

Zongguo Zhang, Bashir Salah

и другие.

Process Safety and Environmental Protection, Год журнала: 2023, Номер 179, С. 754 - 773

Опубликована: Авг. 4, 2023

Язык: Английский

Процитировано

23

A metaheuristic Multi-Objective optimization of energy and environmental performances of a Waste-to-Energy system based on waste gasification using particle swarm optimization DOI

Xiaotuo Qiao,

Jiaxin Ding,

She Chen

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 317, С. 118844 - 118844

Опубликована: Авг. 6, 2024

Язык: Английский

Процитировано

8

Enhancing a bio-waste driven polygeneration system through artificial neural networks and multi-objective genetic algorithm: Assessment and optimization DOI

Zahra Hajimohammadi Tabriz,

Muhammad Hadi Taheri, Leyla Khani

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 58, С. 1486 - 1503

Опубликована: Фев. 3, 2024

Язык: Английский

Процитировано

7