1-stage CoMT-CAMD: An approach for integrated design of ORC process and working fluid using PC-SAFT
Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Schilling, Johannes [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
Integrated process and fluid design Computer-aided molecular design |
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| Umfang: |
14 |
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| Übergeordnetes Werk: |
Enthalten in: Plasticity in responses to dimensional variations of soil space in 19 grassland plant species - Dong, Ran ELSEVIER, 2022, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:159 ; year:2017 ; day:23 ; month:02 ; pages:217-230 ; extent:14 |
| Links: |
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| DOI / URN: |
10.1016/j.ces.2016.04.048 |
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| Katalog-ID: |
ELV020524951 |
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| 520 | |a Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. | ||
| 520 | |a Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. | ||
| 650 | 7 | |a Integrated process and fluid design |2 Elsevier | |
| 650 | 7 | |a Computer-aided molecular design |2 Elsevier | |
| 650 | 7 | |a Continuous-molecular targeting |2 Elsevier | |
| 650 | 7 | |a Organic Rankine Cycle |2 Elsevier | |
| 650 | 7 | |a PC-SAFT |2 Elsevier | |
| 700 | 1 | |a Lampe, Matthias |4 oth | |
| 700 | 1 | |a Gross, Joachim |4 oth | |
| 700 | 1 | |a Bardow, André |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Dong, Ran ELSEVIER |t Plasticity in responses to dimensional variations of soil space in 19 grassland plant species |d 2022 |g Amsterdam [u.a.] |w (DE-627)ELV008347182 |
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10.1016/j.ces.2016.04.048 doi GBV00000000000057A.pica (DE-627)ELV020524951 (ELSEVIER)S0009-2509(16)30219-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 570 630 VZ BIODIV DE-30 fid Schilling, Johannes verfasserin aut 1-stage CoMT-CAMD: An approach for integrated design of ORC process and working fluid using PC-SAFT 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Integrated process and fluid design Elsevier Computer-aided molecular design Elsevier Continuous-molecular targeting Elsevier Organic Rankine Cycle Elsevier PC-SAFT Elsevier Lampe, Matthias oth Gross, Joachim oth Bardow, André oth Enthalten in Elsevier Science Dong, Ran ELSEVIER Plasticity in responses to dimensional variations of soil space in 19 grassland plant species 2022 Amsterdam [u.a.] (DE-627)ELV008347182 volume:159 year:2017 day:23 month:02 pages:217-230 extent:14 https://doi.org/10.1016/j.ces.2016.04.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 159 2017 23 0223 217-230 14 045F 660 |
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10.1016/j.ces.2016.04.048 doi GBV00000000000057A.pica (DE-627)ELV020524951 (ELSEVIER)S0009-2509(16)30219-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 570 630 VZ BIODIV DE-30 fid Schilling, Johannes verfasserin aut 1-stage CoMT-CAMD: An approach for integrated design of ORC process and working fluid using PC-SAFT 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Integrated process and fluid design Elsevier Computer-aided molecular design Elsevier Continuous-molecular targeting Elsevier Organic Rankine Cycle Elsevier PC-SAFT Elsevier Lampe, Matthias oth Gross, Joachim oth Bardow, André oth Enthalten in Elsevier Science Dong, Ran ELSEVIER Plasticity in responses to dimensional variations of soil space in 19 grassland plant species 2022 Amsterdam [u.a.] (DE-627)ELV008347182 volume:159 year:2017 day:23 month:02 pages:217-230 extent:14 https://doi.org/10.1016/j.ces.2016.04.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 159 2017 23 0223 217-230 14 045F 660 |
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10.1016/j.ces.2016.04.048 doi GBV00000000000057A.pica (DE-627)ELV020524951 (ELSEVIER)S0009-2509(16)30219-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 570 630 VZ BIODIV DE-30 fid Schilling, Johannes verfasserin aut 1-stage CoMT-CAMD: An approach for integrated design of ORC process and working fluid using PC-SAFT 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Integrated process and fluid design Elsevier Computer-aided molecular design Elsevier Continuous-molecular targeting Elsevier Organic Rankine Cycle Elsevier PC-SAFT Elsevier Lampe, Matthias oth Gross, Joachim oth Bardow, André oth Enthalten in Elsevier Science Dong, Ran ELSEVIER Plasticity in responses to dimensional variations of soil space in 19 grassland plant species 2022 Amsterdam [u.a.] (DE-627)ELV008347182 volume:159 year:2017 day:23 month:02 pages:217-230 extent:14 https://doi.org/10.1016/j.ces.2016.04.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 159 2017 23 0223 217-230 14 045F 660 |
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10.1016/j.ces.2016.04.048 doi GBV00000000000057A.pica (DE-627)ELV020524951 (ELSEVIER)S0009-2509(16)30219-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 570 630 VZ BIODIV DE-30 fid Schilling, Johannes verfasserin aut 1-stage CoMT-CAMD: An approach for integrated design of ORC process and working fluid using PC-SAFT 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Integrated process and fluid design Elsevier Computer-aided molecular design Elsevier Continuous-molecular targeting Elsevier Organic Rankine Cycle Elsevier PC-SAFT Elsevier Lampe, Matthias oth Gross, Joachim oth Bardow, André oth Enthalten in Elsevier Science Dong, Ran ELSEVIER Plasticity in responses to dimensional variations of soil space in 19 grassland plant species 2022 Amsterdam [u.a.] (DE-627)ELV008347182 volume:159 year:2017 day:23 month:02 pages:217-230 extent:14 https://doi.org/10.1016/j.ces.2016.04.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 159 2017 23 0223 217-230 14 045F 660 |
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10.1016/j.ces.2016.04.048 doi GBV00000000000057A.pica (DE-627)ELV020524951 (ELSEVIER)S0009-2509(16)30219-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 570 630 VZ BIODIV DE-30 fid Schilling, Johannes verfasserin aut 1-stage CoMT-CAMD: An approach for integrated design of ORC process and working fluid using PC-SAFT 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. Integrated process and fluid design Elsevier Computer-aided molecular design Elsevier Continuous-molecular targeting Elsevier Organic Rankine Cycle Elsevier PC-SAFT Elsevier Lampe, Matthias oth Gross, Joachim oth Bardow, André oth Enthalten in Elsevier Science Dong, Ran ELSEVIER Plasticity in responses to dimensional variations of soil space in 19 grassland plant species 2022 Amsterdam [u.a.] (DE-627)ELV008347182 volume:159 year:2017 day:23 month:02 pages:217-230 extent:14 https://doi.org/10.1016/j.ces.2016.04.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 159 2017 23 0223 217-230 14 045F 660 |
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1-stage CoMT-CAMD: An approach for integrated design of ORC process and working fluid using PC-SAFT |
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Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. |
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Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. |
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Organic Rankine Cycles (ORC) transform low-temperature heat into electrical power. To exploit the full potential of a low-temperature heat source, the ORC system is tailored to the specific application. Tailoring an ORC system is challenging, since both process and working fluid have to be optimized simultaneously. We present an approach for integrated design of ORC process and working fluid that enables tailoring an ORC process and the working fluid in a single optimization problem. This approach builds upon the continuous-molecular targeting – computer-aided molecular design (CoMT-CAMD) approach presented by . Here, a detailed process model is combined with a modern model of the working fluid, the perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state. A group contribution approach for PC-SAFT is integrated to allow the computer-aided molecular design (CAMD) of novel fluids within the optimization. In this work, we formulate the corresponding mixed integer nonlinear program (MINLP) problem and solve it in one stage by deterministic optimization combining CoMT and outer-approximation. We therefore call the approach 1-stage CoMT-CAMD. 1-stage CoMT-CAMD problems can be solved efficiently using commercial solvers enabling both single-objective and multi-objective optimization of process and working fluid. The presented approach is employed in two ORC case studies. The first case study outlines the applicability for single-objective and multi-objective optimization for combined heat and power generation. In the second case study, a detailed turbine model is considered within the optimization showing the possibility of modelling the process components in a more detailed manner. The 1-stage CoMT-CAMD approach thus efficiently solves complex integrated design problems based on a consistent thermodynamic picture. |
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