Dec 2018 / by Rakesh Kumar and Ajay Berry
Demand of energy supply is increasing day by day as increases the human civilization around the world. Effective energy utilization and its management for optimizing the efficiency and reduces the energy losses has made engineers and scientists to look for efficient energy conversion and consumption. Most of thermal power plant designs on the energetic efficiency depend upon the first law of thermodynamics based criteria which, cannot differentiate between the quality and quantity of energy. Thermodynamic analysis of a coal based thermal power plant is necessary to find out the real useful work and the energy losses of various components of the power plants like boiler, turbine, condenser, pump etc. In this regards, two tools energetic and exergetic analysis are used basically depend on the two fundamental laws first and second law of thermodynamics respectively. Energetic, the primary aim of this paper to focus on the analysis done by the different researchers on the coal based thermal power plant on the design condition and some important facts are summarised.
Keywords: Energy, exergy, thermal power plant, efficiency, boiler, turbine, condenser
Nov 2018 / by Qingqing Zeng and Junxia Lang
Under the new economic background, the new normal characteristics of China’s power development are also obvious, highlighting the slowdown in the growth of electricity consumption in the whole society, the overall downturn in power consumption in high energy consumption industry, the continuous optimization of power structure, and the more obvious regional differences. In view of these problems, this paper analyzes the economic and stability of the power grid and the constraints of the power grid stability and the transmission capacity of the transmission section, and constructs the economic consideration with the minimum purchase cost and the minimum discharge amount of the pollutant gas as the objective function. And the particle swarm optimization algorithm is used to solve the problem. In this paper, an example is given to calculate and analyze the actual grid, and the validity and feasibility of the model are verified.
Keywords: New normal, new energy grid, electrical engineering, green development, environmental protection
Nov 2018 / by Puja Kumari, Annapurna Patra, C. Ramesh and Ajai Singh
In the present study, short term real time flood forecasting model is developed for Godavari river at Nashik, Maharstra, India. SCS-CN method was used to estimate discharge which was taken as input to HEC-RAS model to estimate flood levels at Godavari river. Forecast lead time was determined by using time of concentration of flood from upstream catchment to the dam and downstream travel time of flood from dam to forecast location. The input to the SCS-CN model is hourly rainfall (real time) as recorded at three locations such as Alandi, Mahirwani and Nashik. Isochrones were developed and lead time for forecast was computed as 6 h. Forecast level was extracted from flood routing model for 6 locations viz., d/s of Gangapur Bridge, Alandi confluence, d/s of Someswar Bridge, D/s of Holkar Bridge, Near Ramkund/Gandhi Talab and d/s of Kannamwar Bridge. At d/s of Gangapur bridge, there was a maximum flood level as 592.27m at 6th hour and d/s of Kannamwar Bridge has minimum flood level as 589.09m. The developed flood routing model can be used to manage the flood in downstream (Gangapur dam) by planning the reservoir operation. Forecasted inflow to the dam from upstream catchment can be used for identifying the safety of dam and status of reservoir.
Keywords: Flood routing, reservoir operation, lead time, HEC-RAS, SCS-CN, Godavari river, Nashik