scholarly journals Intelligent Maintenance Scheduling System for Maximum Performance of Solar Energy Generating System

2017 ◽  
pp. 1579
Keyword(s):  
Solar Energy ◽  
Maintenance Scheduling ◽  
Maximum Performance ◽  
Scheduling System ◽  
Intelligent Maintenance ◽  
Generating System

Effect of photovoltaic (PV) module mounting angle on PV module power output

2021 ◽  
Author(s):  
Husam Hamdi Alkhatib
Keyword(s):  
Solar Energy ◽  
Power Output ◽  
Alternative Energy ◽  
Fossil Fuels ◽  
Renewable Resource ◽  
Energy System ◽  
Photovoltaic Module ◽  
Energy Prices ◽  
Pv Module ◽  
Generating System

Solar energy is a renewable resource that is environmentally friendly. Unlike fossil fuels, solar energy is available just about everywhere on earth. This source of energy is free and immune to rising energy prices. Solar energy can be used in many ways - to provide electricity, heat, lighting, and mechanical power. The objective of this project is to determine the effect of mounting orientation of a photovoltaic panel on power output. Based on the simulation results, the report proposes alternative energy management techniques to characterize the unstable nature of the photovoltaic power generating system. A typical power generating system using photovoltaic technology would have many components. The software used for determining the effects of photovoltaic module mounting angle on the PV module power output is the PV-DesignPro. This software is designed to simulate photovoltaic energy system operation on an hourly basis for one year, based on a user selected climate and system design.

scholarly journals Intelligent Maintenance Prioritization and Optimization Strategies for Thermal Power Plant Boilers

2019 ◽  
Vol 8 (3S) ◽  
pp. 31-35
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Work Productivity ◽  
Maintenance Scheduling ◽  
Maintenance Cost ◽  
Steam Boiler ◽  
Intelligent Maintenance ◽  
Steam Boilers ◽  
Maintenance Activities ◽  
Hierarchy Process

Steam boiler also known as steam generator is an integral component in thermal power plants requiring effective maintenance scheduling to extend the overall life cycle of the boiler. However, steam boilers are commonly plagued with issues such as boiler shutdown and tube leakage. Industry experts adopted preventative maintenance to overcome the repetition of outage in steam boilers. This method is flawed in the aspect of redundant maintenance activities. The repetition in maintenance activities will lead to reduced work productivity and increased maintenance operational costs. In this study, a maintenance optimization system specialized in ranking, prioritization and optimization based on Analytical Hierarchy Process (AHP) and Particle Swarm Optimization (PSO) are chosen. The AHP is used to rearrange the maintenance activities according to its priority while the PSO is an intelligent swarm used to optimize the operational duration and maintenance cost based on the result formed from AHP after implemented using MATLAB software. This work proposes maintenance scheduling based on minimization of the objectives focusing on the forming new list of the maintenance activities with the optimal operational duration and maintenance cost.

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