An optimizer using the PSO algorithm to determine thermal parameters of PCM: A case study of grey water heat harnessing

Author(s):  
Abdur Rehman Mazhar ◽  
Shuli Liu ◽  
Ashish Shukla
2013 ◽  
Vol 34 (4) ◽  
pp. 545-551 ◽  
Author(s):  
Mohammad Zain Khan ◽  
Yei Lin Sim ◽  
Yang Jian Lin ◽  
Ka Man Lai

2021 ◽  
pp. 1-32
Author(s):  
Vu Linh Nguyen ◽  
Chin-Hsing Kuo ◽  
Po Ting Lin

Abstract This article proposes a method for analyzing the gravity balancing reliability of spring-articulated serial robots with uncertainties. Gravity balancing reliability is defined as the probability that the torque reduction ratio (the ratio of the balanced torque to the unbalanced torque) is less than a specified threshold. The reliability analysis is performed by exploiting a Monte Carlo simulation (MCS) with consideration of the uncertainties in the link dimensions, masses, and compliance parameters. The gravity balancing begins with a simulation-based analysis of the gravitational torques of a typical serial robot. Based on the simulation results, a gravity balancing design for the robot using mechanical springs is realized. A reliability-based design optimization (RBDO) method is also developed to seek a reliable and robust design for maximized balancing performance under a prescribed uncertainty level. The RBDO is formulated with consideration of a probabilistic reliability constraint and solved by using a particle swarm optimization (PSO) algorithm. A numerical example is provided to illustrate the gravity balancing performance and reliability of a robot with uncertainties. A sensitivity analysis of the balancing design is also performed. Lastly, the effectiveness of the RBDO method is demonstrated through a case study in which the balancing performance and reliability of a robot with uncertainties are improved with the proposed method.


2015 ◽  
Vol 119 (1) ◽  
pp. 289-301 ◽  
Author(s):  
S.P. Keely ◽  
N.E. Brinkman ◽  
B.D. Zimmerman ◽  
D. Wendell ◽  
K.M. Ekeren ◽  
...  

SIMULATION ◽  
2019 ◽  
Vol 95 (10) ◽  
pp. 931-939 ◽  
Author(s):  
Mohammad Hossein Shams ◽  
Mohsen Kia ◽  
Alireza Heidari ◽  
Daming Zhang

Regarding the significant potential of solar energy in Iran, implementation of optimally designed photovoltaic (PV) systems can be effective. Hence, this study proposes two objective functions: first, the maximum possible output energy for a given area and, second, the minimum area receiving a given yearly energy from PV fixed collectors in a solar field, both of which are calculated. In addition, the shading and masking effects are considered in the calculations. A modified particle swarm optimization (MPSO) algorithm is used to solve the optimization problem. The case study of this article is a shopping center in Isfahan-Iran (latitude 32.5°N) with the minimum yearly energy demand of 171 MWh and the 5000 m2 roof area. To evaluate the yearly energy, the calculated hourly radiation approach is applied to the case study. The results show that the maximum possible generated energy is 881 MWh/year for the given area. In addition, to provide the minimum demand, 720 m2 area of roof is needed. To verify the effectiveness of the proposed MPSO, the results are compared with those of obtained by the relevant commercial software.


2020 ◽  
Vol 15 (10) ◽  
pp. 104020
Author(s):  
Libor Ansorge ◽  
Lada Stejskalová ◽  
Jiří Dlabal

2017 ◽  
Vol 9 (5) ◽  
pp. 799 ◽  
Author(s):  
Pier Miglietta ◽  
Pierluigi Toma ◽  
Francesco Fanizzi ◽  
Antonella De Donno ◽  
Benedetta Coluccia ◽  
...  

2018 ◽  
Vol 13 (1) ◽  
pp. 73-82 ◽  
Author(s):  
Wannawit Taemthong

Grey water from washbasins represents the least polluted source of waste water in households and buildings. This research study investigated three alternatives in recycling grey water from washbasins for reuse in toilet flushing systems. Grey water was collected from the washbasins of a nine-storey university building. The water was treated employing three distinct treatment systems in order to determine the most appropriate system when reusing such water in flushing systems. The grey water treatment systems under scrutiny were composed of a sedimentation tank, a 24-hour aeration tank and a sand and carbon filtering tank, functioning in conjunction with a final sedimentation tank. The water quality from the selected treatment system had TSS, BOD5, and Turbidity measures of 1.67 mg/l, 3.33 mg/l, and 3.33 NTU, respectively. Fecal coliform bacteria and E. Coli were not found in the treated water. Efficiency measures in reducing TSS, BOD5, and Turbidity were 93%, 75%, and 91%, respectively. Fifty-five toilet users were interviewed during the experiment, sixty nine percent of which reported that the recycled water was comparable to tap water. In conclusion, this research recommends treating grey water from washbasins and reusing it in flushing systems in order to deploy water more efficiently in buildings.


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