Author(s): Sachin Mishra | Sunil Kumar Singal | Dheeraj Kumar Khatod
Journal: Smart Grid and Renewable Energy
ISSN 2151-481X
Volume: 02;
Issue: 02;
Start page: 63;
Date: 2011;
Original page
Keywords: Small Hydropower Plant | Electro-Mechanical Equipments | Linest | Logest
ABSTRACT
Electricity is one of the most widely used forms of energy. Being a renewable source of energy small hydropower is considered as an environment—friendly and cheap source of electricity. The installation cost of the small hydropower project depends mainly on two parts—civil works and electromechanical equipment. One of the most important element on the recovery of a small hydro-power plant is the electromechanical equipment (turbine-alternator). The present paper intends to develop a correlation to determine the cost based on the cost influencing parameters as power and head using three different methods, namely; sigma plot method, linest method and logest method. An attempt has also been made to identify the best correlation among the three models closer to the actual cost of electro-mechanical equipment as collected from recently developed projects.
Journal: Smart Grid and Renewable Energy
ISSN 2151-481X
Volume: 02;
Issue: 02;
Start page: 63;
Date: 2011;
Original page
Keywords: Small Hydropower Plant | Electro-Mechanical Equipments | Linest | Logest
ABSTRACT
Electricity is one of the most widely used forms of energy. Being a renewable source of energy small hydropower is considered as an environment—friendly and cheap source of electricity. The installation cost of the small hydropower project depends mainly on two parts—civil works and electromechanical equipment. One of the most important element on the recovery of a small hydro-power plant is the electromechanical equipment (turbine-alternator). The present paper intends to develop a correlation to determine the cost based on the cost influencing parameters as power and head using three different methods, namely; sigma plot method, linest method and logest method. An attempt has also been made to identify the best correlation among the three models closer to the actual cost of electro-mechanical equipment as collected from recently developed projects.
