Large-scale industrial energy systems optimization under uncertainty: A data-driven robust optimization approach

F Shen, L Zhao, W Du, W Zhong, F Qian - Applied Energy, 2020 - Elsevier
In the large-scale industries, optimization of multi-type energy systems to minimize the total
energy cost is of great importance and has received worldwide attentions. In the real …

A method for sizing air source heat pump considering the joint effect of outdoor air temperature and relative humidity

Z Li, W Wei, W Wang, Y Sun, S Wang, Y Lin… - Journal of Building …, 2023 - Elsevier
When operated in a highly humid environment, frost may accumulate on the surface of the
outdoor coil in air source heat pump units (ASHPs), leading to a reduction in its output …

Multi-objective optimisation of an interactive buildings-vehicles energy sharing network with high energy flexibility using the Pareto archive NSGA-II algorithm

Y Zhou, S Cao, R Kosonen, M Hamdy - Energy conversion and …, 2020 - Elsevier
Systematic interactions between buildings, vehicles, and renewables can increase eco-
economic viability on a neighbourhood scale. In this study, an interactive buildings-vehicles …

Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and …

L Li, Y Fu, JCH Fung, H Qu, AKH Lau - Energy and Buildings, 2021 - Elsevier
Heating ventilation and air conditioning (HVAC) systems provide a comfortable indoor
thermal environment, but in the process of attaining appropriate indoor thermal comfort …

A framework for quantifying the value of information to mitigate risk in the optimal design of distributed energy systems under uncertainty

J Niu, X Li, Z Tian, H Yang - Applied Energy, 2023 - Elsevier
Distributed energy systems (DESs) are regarded as promising systems for integrating
renewable energy sources. However, uncertainties arising from renewable energy and …

Multi-objective robust optimization of a solar power tower plant under uncertainty

Y Luo, Z Wang, J Zhu, T Lu, G Xiao, F Chu, R Wang - Energy, 2022 - Elsevier
The optimal design of a molten salt solar power tower (SPT) plant is sensitive to the
variations of uncertainties, such as solar radiation, which result in dispersion of the model …

A method for sizing air source heat pump and electric boiler considering the peak and valley electricity prices

H Zhang, X Zhang, Q Wang, Y Ma, S Zhao… - Journal of Building …, 2023 - Elsevier
In a combined air source heat pump and electric boiler heating system, the capacity an
oversized heat pump increases investment costs but decreases operation costs, and vice …

Dynamic coupling method between air-source heat pumps and buildings in China's hot-summer/cold-winter zone

S Li, G Gong, J Peng - Applied Energy, 2019 - Elsevier
The existing selection methods for air-source heat pumps often result in insufficient heating
effects and high electricity consumption in winter, in China's hot-summer/cold-winter zone …

Control strategy for dynamic operation of multiple chillers under random load constraints

X Liu, B Huang, Y Zheng - Energy, 2023 - Elsevier
Under the influence of building load stochasticity and thermal inertia of central air
conditioning system, the lag of control strategy makes it difficult for the cooling source system …

Urban community energy systems design under uncertainty for specified levels of carbon dioxide emissions

SF Afzali, JS Cotton, V Mahalec - Applied Energy, 2020 - Elsevier
This study examines how the optimal system design of an urban community energy system
changes under the presence of uncertainties in energy prices and demands for a specified …