Optimal Control Strategy for Ship Cabin’s Active Chilled Beam System Using Improved Multi-Objective Salp Swarm Algorithm
نویسندگان
چکیده
Heating, ventilation, and air conditioning (HVAC) systems are the second largest energy consumers on cruise ships after propulsion system. As a kind of HVAC system, active chilled beam (ACB) have been widely used for cabin service due to their performance efficiency good thermal comfort. However, conventional control strategies ships’ ACB not intelligent enough cannot balance consumption comfort during voyages ships. This study developed an optimal strategy cabins’ systems. First, simulation environment considering dynamic conditions is established in TRNSYS. Second, artificial neural network model utilized predict while predicted percentage dissatisfied adopted represent discomfort. Third, improved multi-objective salp swarm algorithm proposed dynamically minimize both A TRNSYS–MATLAB co-simulation testbed simulate cabins served by system small ship navigating from Hong Kong Shanghai validation tests comparison study. Compared strategies, can achieve maximum savings 12% maintaining mean vote index less than 0.5, meeting requirements set ASHRAE.
منابع مشابه
Optimal design of squirrel cage induction motor using multi-objective Salp Swarm Algorithm
The design of three-phase induction motors is a challenge in electrical engineering. Therefore, new design techniques are continuously provided. Since the design of the induction motors is carried out for different purposes, it is difficult to find a method that can addresses all the targets. Nowadays, the normal methods used to solve multi-objective problems are the optimization strategies. In...
متن کاملPareto-optimal Solutions for Multi-objective Optimal Control Problems using Hybrid IWO/PSO Algorithm
Heuristic optimization provides a robust and efficient approach for extracting approximate solutions of multi-objective problems because of their capability to evolve a set of non-dominated solutions distributed along the Pareto frontier. The convergence rate and suitable diversity of solutions are of great importance for multi-objective evolutionary algorithms. The focu...
متن کاملControl Stability Evaluation of Multiple Distribution Static Compensators based on Optimal Coefficients using Salp Swarm Algorithm
In order to solve the problem of voltage drop and voltage imbalance in the distribution systems, the injection of reactive power by multiple static compensators is used. The distributed generation such as photovoltaic systems could play a role of the static compensators by producing reactive power. In this paper, the integral to droop line algorithm is used to control the reactive power in busb...
متن کاملImproved multi-objective clustering algorithm using particle swarm optimization
Multi-objective clustering has received widespread attention recently, as it can obtain more accurate and reasonable solution. In this paper, an improved multi-objective clustering framework using particle swarm optimization (IMCPSO) is proposed. Firstly, a novel particle representation for clustering problem is designed to help PSO search clustering solutions in continuous space. Secondly, the...
متن کاملMPPT for Photovoltaic System Using Multi-objective Improved Particle Swarm Optimization Algorithm
Making full use of abundant renewable solar energy through the development of photovoltaic (PV) technology is an effective means to solve the problems such as difficulty in electricity supply and energy shortages in remote rural areas. In order to improve the electricity generating efficiency of PV cells, it is necessary to track the maximum power point of PV array, which is difficult to make u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Marine Science and Engineering
سال: 2023
ISSN: ['2077-1312']
DOI: https://doi.org/10.3390/jmse11071396