TY  - JOUR
AU  - Langiu, Marco
AU  - Dahmen, Manuel
AU  - Mitsos, Alexander
TI  - Simultaneous optimization of design and operation of an air-cooled geothermal ORC under consideration of multiple operating points
JO  - Computers & chemical engineering
VL  - 161
SN  - 0098-1354
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2023-00786
SP  - 107745 -
PY  - 2022
AB  - We simultaneously optimize both the design and operation of an air-cooled geothermal organic Rankine cycle, maximizing total annual return (TAR), while considering multiple operating scenarios based on different ambient temperatures. In order to accurately capture realistic off-design behavior of the heat exchangers and turbine, as well as for the overall system, we incorporate component models that consider performance variations with both size and operating conditions. We employ a hybrid mechanistic data-driven modeling approach, involving artificial neural networks (ANNs) as surrogate models for accurate fluid properties, as well as for intermediate expressions for which ANNs improve tractability of the optimization problem. We demonstrate the importance of considering multiple operating conditions within design problems and propose a methodology for formulating and solving such problems globally, using our open-source solver MAiNGO.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000806393100007
DO  - DOI:10.1016/j.compchemeng.2022.107745
UR  - https://juser.fz-juelich.de/record/917584
ER  -