The GIS based condition monitoring systems can be developed to monitor the vital parameters of pen-stock networks which is used in hydro power plants to carry water from the source to the power house for generation of energy. The plant efficiency is often compromised due to the reduction of conveyance efficiency of the pen-stock network. The reason for this decrease can be attributed to the diminution in the depth to width ration or increase in roughness coefficient due to sedimentation or increase in infiltration due to erosion of the channel bed.The problem if remains undetected can cause a detrimental effect on utilization efficiency of the power plant which will result in wastage of resource and increase in operating cost of the plant.
Scientific Benefits that can be achieved from the results of the study:
The condition, load or flow rate etc. in a pen-stock can be monitored real time if the digitized shape files and its attribute tables can be connected to a set of sensors which can measure and send the status of the vital parameters, important for condition monitoring of the pen-stocks in large scale hydro-power plants. The portability of the monitoring system is another reason for installation of such real-time monitoring systems. A GIS map can be used in any type of device if the map-codes are generated in platform independent languages like Java etc. Most of the tools used for GIS nowadays offer such features in their digitization module. From the digitized maps,the power plant will be enable to identify vulnerable points and erroneous portions which can be rectified by adopting to required mitigation measures.
Knowledge of any Cognitive Modeling Technique like Artificial Neural Networks/ Polynomial Neural Networks/ Nature Based Prediction Techniques like Particle Swarm Optimization (A tutorial by Petrakis.S) , Ant Colony (A tutorial by Majumder.J) etc.
3.Knowledge of Open Channel Flow Equations (A 63 page Tutorial by Web Kit) / Flow equations by the author of this article
Saraf, Arun K., and Arun Kumar. “GIS in small hydro planning resource management.” GIS@ development (1997): 30-37.
Buchun, W. Y. G. Z. L., & Ming, L. M. L. (2010). Automatic Collecting System of Agro-meteorology Information Based on Remote Monitoring Technique [J]. Transactions of the Chinese Society for Agricultural Machinery, 10.
International Journal of Renewable Energy Research (IJRER) is indexed by Thomson Reuters, Emerging Sources Citation Index on Web of Science on 29/10/2015.
About the Journal as taken from their home page:
“The International Journal of Renewable Energy Research (IJRER) seeks to promote and disseminate knowledge of the various topics and technologies of renewable (green) energy resources. The journal aims to present to the international community important results of work in the fields of renewable energy research, development.
About the Journal
This journal is edited by the author of this idea and publishes various works where informatics tools and techniques are applied to solve problems in energy production,conservation and management.