Thermal Analysis of Steam Turbine Power Plants

Abstract

Steam are a major energy consumer. Optimising process operating conditions can considerably improve turbine water rate, which in turn will significantly reduce energy requirement. Various operating parameters affect condensing and back pressure turbine steam consumption and efficiency. The industrial sector is the largest energy consumer, accounting for about 30 % of total energy used. Fuel and energy prices are continuously rising. With the present trend of energy prices and scarcity of hydrocarbon resources lowering energy requirement is a top priority. Energy conservation benefits depend on the adopting minor or major modifications and using the latest technology. Turbines are designed for a particular operating conditions like steam inlet pressure, steam inlet temperature and turbine exhaust pressure/ exhaust vacuum, which affects the performance of the turbines in a significant way. Variations in these parameters affects the steam consumption in the turbines and also the turbine efficiency. The present study was done to improve the power output of the turbine, thermal efficiency and specific steam consumption in conventional steam power plants. Three cycles i.e regenerative cycle, superheater cycle and cogeneration cycle are considered to formulate the data and obtain a better result in steam turbine power plants.

Optimization and Control of Renewable Energy Integrated Cogeneration Plant Operation by Design of Suitable Energy Storage System

“…From the data, it is observed that SG flow between 6 and 7 Mw import is falling below the threshold value of 320 Mt/h. Utilizing Newton Raphson's empirical formula [10], the BEP is obtained.…”

“…Based on the solar radiation per day, the DC power generated from the PV system can be estimated. The DC power generated mainly depends on different factors, including PV peak power at standard test conditions of (STC), solar radiation, and cell temperature and is represented by Equation (10).…”

“…In the process of developing mathematical modeling, the literature was reviewed to establish theoretical concepts and related governing equations. Literature on cogeneration concepts [8], heat rate establishment of CHP plants [9], thermal analysis of thermal plants [10], and equations governing power generation in turbines [11,12] is extremely helpful in formulating the mathematical equations and developing an algorithm to find BEP by mathematical modeling. Similarly, literature on concepts of internal rate of return/Newton Raphson's empirical formula [13,14] guided precise estimation of the BEP between two RE generation levels with different optimality conditions status.…”

“…Figure8indicates the hourly average values of GTI and corresponding generation of the power based on Equation(10). Figures9-20, indicates the hourly solar power generation and the excess generation available for storage above BEP are plotted based on minute-wise data.…”