Economic, energy and environmental analysis and evaluation of hybrid CCHP system considering different buildings: A two-level optimization model
XY Ren, LL Li - Applied Thermal Engineering, 2024 - Elsevier
Combined cooling, heating and power (CCHP) integrated energy systems can realize the
gradient utilization of energy and the coordination and complementarity of multiple energy …
gradient utilization of energy and the coordination and complementarity of multiple energy …
Multi-objective task scheduling method for cyber–physical–social systems in fog computing
Cyber–physical–social systems refer to new systems that involve a large number of Internet
of Things (IoT) devices connected through an interconnected network. These systems gather …
of Things (IoT) devices connected through an interconnected network. These systems gather …
Multi-objective optimization and evaluation of hybrid combined cooling, heating and power system considering thermal energy storage
XY Ren, ZH Wang, LL Li - Journal of Energy Storage, 2024 - Elsevier
Introducing thermal energy storage (TES) and solar energy effectively reduces fossil fuel
consumption and greenhouse gas emissions in combined cooling, heating, and power …
consumption and greenhouse gas emissions in combined cooling, heating, and power …
A multi–objective gaining–sharing knowledge-based optimization algorithm for solving engineering problems
Metaheuristics in recent years has proven its effectiveness; however, robust algorithms that
can solve real-world problems are always needed. In this paper, we suggest the first …
can solve real-world problems are always needed. In this paper, we suggest the first …
Phased optimization of active distribution networks incorporating distributed photovoltaic storage system: A multi-objective coati optimization algorithm
BX Ji, HH Liu, P Cheng, XY Ren, HD Pi, LL Li - Journal of Energy Storage, 2024 - Elsevier
In this study, a phased operation optimization method for active distribution network with
energy storage system is proposed for the operation optimization problem of active …
energy storage system is proposed for the operation optimization problem of active …
Backtracking search algorithm with dynamic population for energy consumption problem of a UAV-assisted IoT data collection system
In recent years, collecting data from IoT devices by unmanned aerial vehicles (UAVs) has
become a very hot research topic. This paper focuses on the energy consumption problem …
become a very hot research topic. This paper focuses on the energy consumption problem …
Optimization and performance assessment of solar-assisted combined cooling, heating and power system systems: Multi-objective gradient-based optimizer
This study compares the performance of the optimal installation of solar-assisted combined
cooling, heating, and power system (CCHP) running different strategies using the energy …
cooling, heating, and power system (CCHP) running different strategies using the energy …
Fuzzy decision-making approach of hobbing tool and cutting parameters
W Cao, X Chen, J Ni - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Machining performance, such as carbon emission, machining time, and quality, can be
improved by selecting appropriate tools and cutting parameters for gear hobbing. However …
improved by selecting appropriate tools and cutting parameters for gear hobbing. However …
AI-infused characteristics prediction and multi-objective design of ultra-high performance concrete (UHPC): From pore structures to macro-performance
Performance prediction and mixture design are important for the engineering applications of
ultra-high performance concrete (UHPC). This study introduces an approach for both …
ultra-high performance concrete (UHPC). This study introduces an approach for both …
Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection
The hardly dominated boundary (HDB) is a common feature of multi-objective optimization
problems (MOPs). Previous studies have proposed several multi-objective evolutionary …
problems (MOPs). Previous studies have proposed several multi-objective evolutionary …