Skip to main content

Water Power




New Trend of Research: Underwater Turbines

  Tidal turbines have blades that turn a rotor to power a generator just like other turbines. They are placed on the seafloor where there is strong tidal flow. Because water is denser than air, tidal turbines are much heavier than wind turbines. The turbines would be installed at depths of 300 feet (91 meters) or more, in areas of fast-moving water " where not many things live ". However, blades of such turbines may injure or kill aquatic species. That is why new technologies to innovate underwater turbines are now a widely popular topic of research....More Info

Hydro Energy in Style : HydEA

  To enhance the effectiveness of existing hydropower plants, methods to carry out the exploitation of existing plants in a more effective way were explored in various parts of the World. HydEA (Hydro Efficiency Analysis) project was inserted in this context, to increase the overall efficiency of hydroelectric plants through the more rational use of the resources was obtained by data-driven approaches. This framework allows the real-time detection of deviations from the expected values.  " It is also possible to recognize, through the recalculation of the models at fixed intervals, very slow decay of the system performance "..More Info

New Trend in Hydro Power: Hydropower digitalization

 According to IHA, the real-time collection and processing of data to adjust the working conditions of hydropower turbines can imbibe advanced grid supporting services without compromising the reliability and safety of the plant. Such real-time monitoring systems can automate the control of power generation and will save both cost and manhours..More Info

Ten Novel and Innovative Examples of Water-Energy Nexus

 Managing water in energy production and optimizing the use of energy for clean water production is known as Water-Energy Nexus and in recent years one of the most popular topics of research. This nexus is deemed as the solution to the future scarcity problems due to....More Info

Five Models Traditionally Used For Electrical Load Predictions

Load forecasting is a technique used by power companies to predict the power or energy needed to balance the supply and load demand at all times. A load model is a mathematical representation of the relation between the demand and supply of power to a system, specifically, power generating units like thermal or hydropower plants. Based on the forecasted load, the mechanism to generate power is adjusted. This way power plant conserves the fuel used in power generation and also minimizes the cost of running the plant(i.e., operational cost). This edition of WENexus Letters is dedicated to 'load prediction models' which are extremely important for sustaining the profitability of any type of power plant. Content 1)Five Models Traditionally Used For Electrical Load Predictions 2)Which model to select if you can use only one? 3)Further Reading: Three best sources for learning about load forecasting methods 4)Recent Techniques in Load Prediction Models: Artificial Neural Networks 5)Call...More Info



Popular posts from this blog

Free Ecourse on MCDM Techniques

1) ELECTRE : ELIMINATION AND CHOICE TRANSLATING REALITY 2)FMAE : FAILURE MODE EFFECTS ANALYSIS 3)MAUT : MULTI ATTRIBUTE UTILITY THEORY 4&5)PROMETHEE : PREFERENCE RANKING ORGANIZATION METHOD FOR ENRICHMENT EVALUATION (One and Two) 6)RA : RELIABILITY ANALYSIS 7)WSM : WEIGHTED SUM METHOD 8)WPM : WEIGHTED PRODUCT METHOD 9)DELPHI Method All these are free video tutorials. For case studies and project ideas please upgrade to Paid Member. Click here  to procure in INR: Other than INR :  Click here You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Innovate S: Online Shop for Water Researchers https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition...

Master TOPSIS to operationalise multi-criteria trade‑offs using distance‑to‑ideal reasoning and transparent rankings.

1.TOPSIS is best described as A single-objective optimization method for continuous design variables A compensatory MCDM method for ranking finite alternatives across multiple criteria A simulation technique for stochastic hydrologic models A clustering algorithm for grouping similar alternatives 2.In TOPSIS, the Positive Ideal Solution (PIS) represents The alternative with the smallest Euclidean norm in the decision space A hypothetical alternative with the best performance on every criterion The real alternative that appears first in the decision matrix The average of all alternatives over all criteria 3.The Negative Ideal Solution (NIS) in TOPSIS is The worst-performing actual alternative in the dataset A hypothetical alternative with the worst value of each criterion The alternative with the largest index in the matrix The alternative that violates the most constraints 4.For benefit-type criteria (to be maximized), the PIS component is taken as The minimum observed val...

What will the future of AI and ML modeling of water resource development look like?

AI & ML modeling application is now widespread in water resource development studies. But due to the uncertainty in water parameters, much more innovation is required for their practical applications In recent years like all the other fields of studies, the application of Artificial Intelligence and Machine Learning (AI&ML) on water resource development projects has increased manifold. For example : Sukanya, S., and Sabu Joseph. " Climate change impacts on water resources: An overview ." Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence (2023): 55-76. Kommadi, Bhagvan. " AI and ML Applications: 5G and 6G ." (2023). Joseph, Kiran, Ashok K. Sharma, Rudi van Staden, P. L. P. Wasantha, Jason Cotton, and Sharna Small. " Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review ."  Water  15, no. 11 (2023): 2046. Yurtsever, Mustafa, and E. M...