基于帕雷托的设计热光伏微型燃烧器通过一个新的框架,结合IGWO调节的ANN,多目标多层优化和ARAS决策
Mohamad A Alawad1, Ihab Omar2, As'ad Alizadeh3
1Department of Electrical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia.
Scientific reports
|January 24, 2026
概括
本研究介绍了一种集成的框架,用于优化热光伏 (TPV) 系统中的微平面燃烧器 (MPC),使用机器学习和优化算法. 该框架可为各种能源应用提供量身定制的高性能TPV设计.
科学领域:
- 能源系统工程 能源系统工程
- 计算流体动力学的流体动力学.
- 机器学习应用 机器学习应用
背景情况:
- 微平面燃烧器 (MPC) 的高效设计对于推进热光伏 (TPV) 能源系统至关重要.
- 当前的设计方法缺乏预测建模,优化和决策之间的整合.
- 需要一个整体的框架来提高TPV系统的MPC性能.
研究的目的:
- 开发一个完全集成的框架,以有效设计和优化TPV系统的MPC.
- 结合机器学习,元启发学和多标准决策,用于预测建模和优化.
- 为了生成量身定制的MPC设计,平衡关键性能指标,如压力下降,输出功率和效率.
主要方法:
- 一个多层感知神经网络 (MLPNN) 被开发和调整使用改进的灰狼优化器 (IGWO) 和粒子群优化 (PSO) 进行性能预测.
- 机器学习模型预测了压力下降 (ΔP),输出功率 (OP) 和系统效率 (SE).
- 使用多层优化器 (MOMVO) 和NSGA-II进行了多目标优化,随后使用ARAS进行了帕雷托解决方案排名.
主要成果:
- IGWO-MLPNN和PSO-MLPNN模型实现了高预测准确度 (OP的MAPE低至0.138%).
- 多目标优化确定了最佳设计参数,包括输入速度 (6.0-6.5 m/s) 和等效率 (≈1.0).
- 在ARAS排名中,为各种TPV应用,平衡功率,压力下降和效率提供了十种定制的场景.
结论:
- 拟议的综合框架为TPV系统中MPC优化提供了强大的和可扩展的解决方案.
- 这项研究证明了机器学习,元启发学和复杂工程设计决策的成功协同作用.
- 该框架可以为各种现实能源应用创建高性能,可适应的TPV设计.
相关概念视频
Multi-input and Multi-variable systems
404
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
In the absence of...
404
Multi-Step Reactions
8.7K
Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
8.7K
Pareto Chart
7.6K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.6K
Multi-species Conserved Sequences
4.7K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.7K
Insertion of Multi-pass Transmembrane Proteins in the RER
17.9K
The rough ER membrane synthesizes, assembles, and embeds transmembrane proteins in diverse topologies. These proteins function as transporters or channels and can remain in the ER membrane or are sent to the Golgi complex, lysosome, and cell membrane.
The multipass transmembrane proteins are the type IV integral membrane proteins with multiple topogenic sequences determining their spatial arrangement in the ER membrane. Nearly all multipass proteins lack a cleavable signal sequence and use...
The multipass transmembrane proteins are the type IV integral membrane proteins with multiple topogenic sequences determining their spatial arrangement in the ER membrane. Nearly all multipass proteins lack a cleavable signal sequence and use...
17.9K
Multi-pass Transmembrane Proteins and β-barrels
6.4K
In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
6.4K


