The video below is a nice introduction about the concept of Pump as Turbine. A Francis turbine and a pump is used for generating electricity in daytime and lifting water from the river in night-time. This video is prepared by mekanizmalar and can also be found at : http://www.mekanizmalar.com/menu-power-generation.html
Pump as Turbine is a new concept of using kinetic energy in water for generation of electrical energy. In this concept, a pump is used as turbine when demand for electricity is high (peak time) and during off peak pump is used as a pump to lift the water from a lower elevation to higher elevation.
This concept help to save energy by using the same water for generating electricity. Although due to the conveyance loss, water is required to be replenished time to time, but still this type of process, conserve more water compared to that in conventional hydro-power plant.
This fortnight the theme issue is decided to be “Pump as turbine”.The concept will be introduced in detail, by videos shared by experts ,some papers and some links from this field. Few important and exquisite textbooks,tutorials,monographs and software which are used in this industry will also be shared in this issue of the web-zine.
In addition to this the regular topics of the website is also available.
Founding Editor (Hons),ResearchGate Id : Mrinmoy_Majumder
Power generation from Salinity Gradient is a new topic of research which is steadily attracting interest from the researchers of renewable energy. The scarcity and rising demand of conventional fuels has also aggrevated the importance of alternative sources of energy where power from salinity gradient or Blue Energy can be an useful solution.
As the topic is new and mostly unexplored,doing research in this aspect have a very high potential. Research ideas like :
1) Cost Minimization of Power Extraction from Saline Water Gradient based Power Plants by Nature Based Optimization Techniques
The first objective of the work will be to identify parameter/s which contribute towards the total expenditure for installation of Salinity Gradient based power plants.After all the parameters were identified and the significance of the weights of the parameters are determined the next step will be to formulate the indicator in such a manner that it become directly proportional to the expenditure for operation and maintenance of salinity gradient based power plants.The second objective will be to implement nature based optimization algorithms like Ant Colony,Artificial Bee Hive etc to minimize the cost function.The significance of the parameters can be estimated by the application of Multi Criteria Decision Making methods(MCDM) and the nature based optimization techniques can be used for minimization of the function.The result of the optimization will yield the ratio at which the significant parameters must behave to produce minimum expenditure to run a saline water based power plant.
2)Estimation of Power Potential from Saline Water Gradient in European/Asian/American Coastal regions : A Polynomial Neural Network Approach
Polynomial Neural Networks are an advanced form of neural network which can self-detect the number of inputs and hidden layers, required for prediction of the most accurate output.The Group Method of Data Handling(GMDH) is a technique by which polynomial neural networks(PNN) are trained where it analyse hundreds of different training algorithms and identify the best algorithm automatically with the help of a fitness function.This kind of technologies can be implemented to estimate the power potential from saline water gradient in various locations of different continents.An iso-hyetal map can be produced from the predictions so that the location with highest potential can be easily delineated.
3)Location selection for installation of Pressure Retarded Osmosis (PRO)/Reverse Electrodialysis (RED)/Hydrocratic Ocean Energy based Salinity Gradient Power plants with the help of MCDM-GMDH or MCDM or GMDH.
MCDMs are an objective procedure to identify the better option among the many available alternatives.GMDH is a technique for training PNNs.This two technologies can be applied to identify locations with higher feasibility among multiple locations selected for installation of Saline Water based power plants.At first the parameters which can select the plausible locations can be identified and then with the help of a function the locations with highest potentiality can be selected.The function will be a product function of the selected parameters and its significance in detecting suitable locations.For different kind of saline water based power generation units(such as Pressure Retarded Osmosis (PRO)/Reverse Electrodialysis (RED)/Hydrocratic Ocean Energy) different features will be selected and the significance of the featuress will also change.The calculation of significance will be executed with the help of MCDM methods and function will be predicted with the help of GMDH based PNNs.
…can attract project funds as well as may help to publish research articles in reputed journals.As a pioneer, citations for such research will be high compared to that for other conventional topics of renewable energy.
A relatively new kind(discovered in 1970, however, major developments in this type of renewable energy can be seen mainly in the last decade) of renewable energy source was identified where electricity is generated when fresh water mixes with saline water.
This fort nigh let us gather various information about this type of energy. Any thing you know about this energy can be shared as a reply to this post.