[HTML][HTML] Demand-side management in industrial sector: A review of heavy industries
H Golmohamadi - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The penetration of renewable energies is increasing in power systems all over the world.
The volatility and intermittency of renewable energies pose real challenges to energy …
The volatility and intermittency of renewable energies pose real challenges to energy …
Artificial intelligence for control and optimization of boilers' performance and emissions: A review
Burning fossil fuels is a major concern for global warming control. In Saudi Arabia, steam
power plants that relay on boilers to produce the steam accounted for around 50% of the …
power plants that relay on boilers to produce the steam accounted for around 50% of the …
Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction
Z Tang, M Sui, X Wang, W Xue, Y Yang, Z Wang… - Energy, 2024 - Elsevier
Timely and accurate three-dimensional (3-D) NOx concentration distribution prediction is
essential for achieving low-emission and efficient operation in power plants. This study …
essential for achieving low-emission and efficient operation in power plants. This study …
[HTML][HTML] Optimal operation scheduling of household energy hub: A multi-objective optimization model considering integrated demand response
Q Lu, W Zeng, Q Guo, S Lü - Energy Reports, 2022 - Elsevier
This paper proposes the multi-energy co-optimization of a household energy hub (EH) from
the perspective of the supply side. In this paper, firstly, a household load optimization model …
the perspective of the supply side. In this paper, firstly, a household load optimization model …
Multi-objective optimization of setpoint temperature of thermostats in residential buildings
Determination of the optimum setpoint temperature of thermostats in various climates is a
problem in air conditioning of residential buildings. In this paper, a new method is developed …
problem in air conditioning of residential buildings. In this paper, a new method is developed …
Pareto multi-objective optimization of metro train energy-saving operation using improved NSGA-II algorithms
Z Zhang, X Cheng, Z **ng, X Gui - Chaos, Solitons & Fractals, 2023 - Elsevier
Quantitative analysis of the factors affecting the energy consumption of metro trains and
finding out the breakthrough points of energy conservation is of great practical significance …
finding out the breakthrough points of energy conservation is of great practical significance …
Multi-objective modeling of boiler combustion based on feature fusion and Bayesian optimization
T Ye, M Dong, J Long, Y Zheng, Y Liang, J Lu - Computers & Chemical …, 2022 - Elsevier
The physical field (temperature, gas concentration, etc.) inside the furnace is closely related
to the boiler combustion optimization. A novel multi-objective prediction framework based on …
to the boiler combustion optimization. A novel multi-objective prediction framework based on …
A new online optimization method for boiler combustion system based on the data-driven technique and the case-based reasoning principle
W Xu, Y Huang, S Song, Y Chen, G Cao, M Yu, B Chen… - Energy, 2023 - Elsevier
To adapt to the time-variability of boiler combustion systems, a new online combustion
optimization method for boiler is proposed in this paper. The massive historical combustion …
optimization method for boiler is proposed in this paper. The massive historical combustion …
A flexible optimization study on air-cooled battery thermal management system by considering of system volume and cooling performance
H Lu, X Tang - Journal of Energy Storage, 2023 - Elsevier
When the battery temperature exceeds the normal range, the battery efficiency performance,
and life will be significantly reduced, and the battery may even explode. Therefore, an …
and life will be significantly reduced, and the battery may even explode. Therefore, an …
A novel NOx emission prediction model for multimodal operational utility boilers considering local features and prior knowledge
This study proposed a data-driven NO x modelling framework that could capture the
multimodal operational characteristics of a utility boiler, improve the training sample quality …
multimodal operational characteristics of a utility boiler, improve the training sample quality …