earticle

영어

In 21th centaury energy has become a prime need of the civilization. One of the most important types of energy is the electrical energy, which is very much essential for both domestic & industrial purposes. In present century, more than 60% of the total electric energy is producing from coals, 14-17% of energy is producing from Renewable sources & the remaining part is from natural gases. So, it is clear that maximum sources (more than 80%) of energy are causes pollution. Pollution & Global warming are the main reason of rapid environmental misbalancing. In case of our state (Tripura) this energy generation figures or records are not impressive, approximately 1% of total energy is producing from hydro-power & the rest percentages are from gas-thermal plants. It is observed that the year round insufficiencies of river water & irregular rainfall in hilly river sub-basin areas are the main reasons of decrement in hydro-power generation. So, in present scenario, the concept of Pump-Storage Hydro-Power station is very much appropriate, because this type of plant can recycle fix storage of water. That’s why insufficiency of river water will not affect the generation like conventional hydro power station. In this work Multi Criteria Decision Making Algorithm (MCDMA) is used to find the best alternative with respect to the design consideration to select a best location in this state to set pump storage plant, the suitable location has been selected by both MCDM (AHP) & cost effective analysis. This work tried to give some key point regarding the problems, mitigations & future scope of Gomati Hydro Power Project by integrated studies on Dumbur Lake, river sub-basin, average annual rainfall & annual mean depth of the river. At the end the project implies a probability of more than 11 MW Hydro-power generations by installing Mini-Hydro Pump storage plant in this state Tripura using the water of River Gomati. Finally plant network has been optimized by Flex-Sim software, to check the efficiencies of different component under the assigned/ proposed conditions.