Optimizing energy hubs with a focus on ice energy storage: a strategic approach for managing cooling, thermal, and electrical loads via an advanced slime mold algorithm DOI Creative Commons
Tao Hai,

Hayder Oleiwi Shami,

S Saleh

и другие.

International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 2568 - 2579

Опубликована: Янв. 1, 2024

Abstract Amidst the increasing incorporation of multicarrier energy systems in industrial sector, this article presents a detailed stochastic methodology for optimal operation and daily planning an integrated system that includes renewable sources, adaptive cooling, heating, electrical loads, along with ice storage capabilities. To address problem, it applies 2 m + 1 point estimation method to accurately assess uncertainties while minimizing computational complexity. The “2 point” technique swiftly evaluates unpredictability through Taylor series calculations, capturing deviations green output, demand both electric thermal across power networks, also considering oscillating costs associated senior transmission systems. In addition, proposes novel self-adaptive optimization technique, called enhanced mucilaginous fungus algorithm (SMSMA), dedicated overcoming intricate nonlinear challenges inherent system. advanced strategy relies on wavelet theory enhance capability effectiveness original optimizing schedules Numerical analyses demonstrate introduced scheduling framework, coupled SMSMA algorithm, effectively reduces operating

Язык: Английский

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

Процитировано

3

Silver-manganese nanocomposites: Synthesis, characterization, and cytotoxic potential in cancer therapy DOI
Basim A. Almayahi, S.F. Abdul Sani, Hairul Anuar Tajuddin

и другие.

Inorganic Chemistry Communications, Год журнала: 2025, Номер unknown, С. 114402 - 114402

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Thermoeconomic modeling of new energy system based on biogas upgrading to multigenerational purpose DOI

Yuwen Wu

Desalination, Год журнала: 2024, Номер 593, С. 118215 - 118215

Опубликована: Окт. 18, 2024

Язык: Английский

Процитировано

2

Multiaspect analysis and optimization of a power and cooling cogeneration plant integrated with a multilevel waste heat recovery system DOI Creative Commons
Tao Hai, Ihab Omar,

Mohamed R El-Sharkawy

и другие.

International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 1801 - 1813

Опубликована: Янв. 1, 2024

Abstract This study focuses on the development and improvement of a new combined power cooling system called power-cooling cogeneration (PCCS). The PCCS incorporates tri-tier waste heat recovery that includes an organic Rankine cycle (ORC) ejector-driven refrigeration mechanism. design thorough assessment thermodynamic efficiency, cost-efficiency, environmental consequences. A dual-objective optimization technique is developed to decrease expenses while simultaneously improving exergy efficiency. In addition, complex behavior compared standard uses one-stage recovery-ORC compressor-based approach. Also, effectiveness was evaluated through utilization several environmentally friendly refrigerants. Environmental evaluations employ two metrics: total equivalent-warming impact (TE-WI) life cycle-climate performance (LC-CP), emphasizing substantial reductions in harm improved recovery. results demonstrate R1234-yf refrigerant achieves best possible both configurations, resulting significant increase roughly 10.1% exergetic efficiency system. Simultaneously, experiences loss annual costs around 7.25% 21.16%, respectively, as baseline. Incorporating ejector into has potential reduce carbon dioxide emissions by up 11.41 × 106 kg.

Язык: Английский

Процитировано

0

Economic Analysis of Hydrogen Energy Systems: A Global Perspective DOI Creative Commons
Guoqing Liu, Tingting Guo, Ping Wang

и другие.

Heliyon, Год журнала: 2024, Номер 10(18), С. e36219 - e36219

Опубликована: Авг. 23, 2024

In the realm of renewable energy, integration wind power and hydrogen energy systems represents a promising avenue towards environmental sustainability. However, development cost-effective storage solutions is crucial to fully realize potential as source. By combining generation with storage, comprehensive system can be established. This study aims devise physiologically inspired optimization approach for designing standalone producer that incorporates on global scale. The process considers both total cost capacity loss determine optimal configuration system. setup an off-grid solution involves utilization eight distinct types compact horizontal-axis turbines. Additionally, sensitivity analysis conducted by varying component capital costs assess their impact overall load loss. Simulation results indicate at 15 % loss, (COE) $1.3772, while 0 it stands $1.6908. Capital expenses associated turbines significantly contribute cost. Consequently, turbine-hydrogen emerges most reliable option due its low energy.

Язык: Английский

Процитировано

0

Thermoeconomic, environmental and uncertainty assessments and optimization of a novel large-scale/low carbon hydrogen liquefaction plant integrated with liquefied natural gas cold energy DOI Creative Commons

Shuilong Zou,

Ali Basem,

Hayder Oleiwi Shami

и другие.

International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 1740 - 1753

Опубликована: Янв. 1, 2024

Abstract Presently, the liquefaction of hydrogen represents a promising solution to alleviate challenges associated with its storage and transportation. It is crucial formulate methodological frameworks for scrutinizing routes enhance energy efficiency. This paper endeavors establish, assess feasibility, refine novel approach high-capacity facility, leveraging cold from liquefied natural gas (LNG). new route utilizes four hybrid refrigeration systems, each designed handle 50 × 103 kg daily. Significant savings are achievable through primary utilization LNG’s in precooling stage generation electrical power during vaporization phase. The architecture this crafted around principles conservation, incorporating thermodynamic assessments alongside economic environmental viability studies. Furthermore, performance innovative method thoroughly evaluated across both non-optimized optimized scenarios. Advanced techniques such as composite curve uncertainty analyses employed provide detailed examination heat cascades cost differentials. findings indicate that managing refining route, potentially reducing specific requirement optimum by 27.4% compared non-optimum counterpart. Moreover, scenario, there decrease ~4.72% unit production expenses, 26.26% CO2 emissions, 21.85% usage avoided emissions.

Язык: Английский

Процитировано

0

Optimizing energy hubs with a focus on ice energy storage: a strategic approach for managing cooling, thermal, and electrical loads via an advanced slime mold algorithm DOI Creative Commons
Tao Hai,

Hayder Oleiwi Shami,

S Saleh

и другие.

International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 2568 - 2579

Опубликована: Янв. 1, 2024

Abstract Amidst the increasing incorporation of multicarrier energy systems in industrial sector, this article presents a detailed stochastic methodology for optimal operation and daily planning an integrated system that includes renewable sources, adaptive cooling, heating, electrical loads, along with ice storage capabilities. To address problem, it applies 2 m + 1 point estimation method to accurately assess uncertainties while minimizing computational complexity. The “2 point” technique swiftly evaluates unpredictability through Taylor series calculations, capturing deviations green output, demand both electric thermal across power networks, also considering oscillating costs associated senior transmission systems. In addition, proposes novel self-adaptive optimization technique, called enhanced mucilaginous fungus algorithm (SMSMA), dedicated overcoming intricate nonlinear challenges inherent system. advanced strategy relies on wavelet theory enhance capability effectiveness original optimizing schedules Numerical analyses demonstrate introduced scheduling framework, coupled SMSMA algorithm, effectively reduces operating

Язык: Английский

Процитировано

0