OPTIMIZED DESIGN AND NUMERICAL SIMULATION OF RADIAL INFLOW TURBINE FOR 15 KW CAPACITY ORGANIC RANKINE CYCLE WITH R1234ZE(E) AS WORKING FLUID
The energy, climate and clean air crisis is ongoing, energy fulfillment should undergo immediate shift to clean energy. On the other hand, the transition process cannot take place instantly, therefore innovation can start from generation system that are widely available, one of which is the Rankine...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/79114 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The energy, climate and clean air crisis is ongoing, energy fulfillment should undergo immediate shift to clean energy. On the other hand, the transition process cannot take place instantly, therefore innovation can start from generation system that are widely available, one of which is the Rankine Cycle, as a basic concept in heat-to-mechanical energy conversion. By utilizing organic working fluids in the Organic Rankine Cycle (ORC), power generation can be maximized for waste-to-heat recovery and low-grade heat sources which have previously been untapped.
The turbine is one of the most important components in electricity generating systems. Through optimization, ORC turbine performance can be increased up to 12% from the initial design by implementing multi-variable solution finding method, until the best one is achieved. In this final project, radial inflow turbine optimization and design was carried out utilizing genetic algorithms, which was then created in 3D model using ANSYS BladeGen and Solidworks, then tested through CFD simulations with ANSYS CFX.
In this research, an environmentally friendly approach is used, so that design is conditioned for minimal resulting environmental impact. Predicted performance with working fluid R1234ze(E) yields ???? ???????? 82.7% with power output of 14.41 kW. CFD simulation result yields ???? ???????? 93% with an output power of 15.30 kW, while off-design simulation yields ???? ???????? 86.9% with power output of 28.80 kW.
|
|---|