ANN Modeling of an ORC-Binary Geothermal Power Plant: Simav Case Study

作者：Arslan O^*; Yetik O

来源：Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , 2014, 36(4): 418-428.

DOI：10.1080/15567036.2010.542437

• artificial neural network
• life cycle cost
• geothermal energy
• Levenberg-Marquardt
• Organic Rankine Cycle-Binary
• Pola-Ribiere conjugate gradient
• scaled conjugate gradient

Due to recently developed technologies, there is now more availability to generate electricity. One of these technologies is the binary cycle system, a kind of Organic Rankine Cycle. Since the design of these technologies requires more proficiency and longer times within complex calculations, artificial neural network is a new tool used to make rapid decisions and modeling of the processes within the expertise. The most suitable algorithm was found to be Levenberg-Marguardt with 20 neurons in a single hidden layer for o2 and o3 type cycles, whereas it was found to be Levenberg-Marguardt with 22 neurons for the b3 type cycle.

• 出版日期2014-2-16