TY - GEN
T1 - Study of the Effect of Changes in Fill Grid Cooling Tower Unit 2 Salak Geothermal Power Plant
AU - Yuansah,
AU - Widodo, Wawan Aries
AU - Somantri, Wahyu
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Rehabilitation cooling tower Unit 2 Salak geothermal power plant for restore effectiveness cooling tower after 26 years operation. Data used are water inlet and outlet cooling tower, mass flow water to cooling tower, temperature wet bulb, flow steam, power generation for calculating the range, approach, effectiveness cooling tower, L/G ratio, and heat capacity. And then, comparison the calculation result. The result showing that the rehabilitation with configuration fill layer grid type new one which indicated increasing effectiveness cooling tower from 74.01 to 83.71% or equivalent 0.37 MW. The new type of fill grid must be followed by a better layer arrangement pattern to produce optimal cooling tower effectiveness. The experimental is numerical simulation of cooling tower fill grid layer using Ansys 18.2 software to determine the optimization of cooling tower fill grid layer arrangement. Determination of boundary conditions, making modeling domains including flow water inlet, temperature water inlet, temperature air inlet, mass flow air inlet, and setting porosity layer 1, 2, and 3. To determine the optimization of cooling tower, fill grid layer settings arrangement uses five variations; one of them is existing and four variations. To find out the optimalization of the arrangement of the fill grid layer for cooling tower output temperature and then potentially non-destructive drift eliminator because temperature distribution pattern. The arrangement fill layer grid as case-1 was utilized numerical simulation by CFD commercial code obtaining good agreement temperature out of cooling tower until 29.02 ℃ and then has potentially non-destructive drift eliminator.
AB - Rehabilitation cooling tower Unit 2 Salak geothermal power plant for restore effectiveness cooling tower after 26 years operation. Data used are water inlet and outlet cooling tower, mass flow water to cooling tower, temperature wet bulb, flow steam, power generation for calculating the range, approach, effectiveness cooling tower, L/G ratio, and heat capacity. And then, comparison the calculation result. The result showing that the rehabilitation with configuration fill layer grid type new one which indicated increasing effectiveness cooling tower from 74.01 to 83.71% or equivalent 0.37 MW. The new type of fill grid must be followed by a better layer arrangement pattern to produce optimal cooling tower effectiveness. The experimental is numerical simulation of cooling tower fill grid layer using Ansys 18.2 software to determine the optimization of cooling tower fill grid layer arrangement. Determination of boundary conditions, making modeling domains including flow water inlet, temperature water inlet, temperature air inlet, mass flow air inlet, and setting porosity layer 1, 2, and 3. To determine the optimization of cooling tower, fill grid layer settings arrangement uses five variations; one of them is existing and four variations. To find out the optimalization of the arrangement of the fill grid layer for cooling tower output temperature and then potentially non-destructive drift eliminator because temperature distribution pattern. The arrangement fill layer grid as case-1 was utilized numerical simulation by CFD commercial code obtaining good agreement temperature out of cooling tower until 29.02 ℃ and then has potentially non-destructive drift eliminator.
KW - Fill grid and computational fluid dynamic
KW - Rehabilitation cooling tower
UR - http://www.scopus.com/inward/record.url?scp=85135885884&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-1581-9_24
DO - 10.1007/978-981-19-1581-9_24
M3 - Conference contribution
AN - SCOPUS:85135885884
SN - 9789811915802
T3 - Lecture Notes in Electrical Engineering
SP - 213
EP - 221
BT - Recent Advances in Renewable Energy Systems - Select Proceedings of ICOME 2021
A2 - Kolhe, Mohan
A2 - Muhammad, Aziz
A2 - El Kharbachi, Abdel
A2 - Yuwono, Tri Yogi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Mechanical Engineering, ICOME 2021
Y2 - 25 August 2021 through 26 August 2021
ER -