Optimization in the Energy Industry:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2009
|
| Series: | Energy Systems
|
| Subjects: | |
| Online Access: | BTU01 FHN01 FHR01 Volltext |
| Item Description: | Today, the optimization of production planning processes using IT and quantitative methods is a de-facto standard in the energy industry. The energy problem is challenging and one of the most important political and economical issues in the world. Governments face the problem how to adopt the system of 'Cap and Trade.' Especially, energy consuming industries, like steel, power, oil and chemical, are seriously confronted with this problem. The book offers a broad in-depth overview reflecting the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry. 22 chapters with world-wide origins illuminate the mathematical requirements based on practical experiences and provide an ideal insight into the energy world -- from integration of wind energy, chain of errors in nuclear power plants and scheduling of hydroelectric power stations, over risk assessment in trading activities to various mathematical approaches |
| Physical Description: | 1 Online-Ressource (XX, 533 p) |
| ISBN: | 9783540889656 |
| DOI: | 10.1007/978-3-540-88965-6 |
Staff View
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Record in the Search Index
| _version_ | 1804152238789099520 |
|---|---|
| any_adam_object | |
| author | Kallrath, Josef |
| author_facet | Kallrath, Josef |
| author_role | aut |
| author_sort | Kallrath, Josef |
| author_variant | j k jk |
| building | Verbundindex |
| bvnumber | BV041889668 |
| classification_rvk | SK 870 ZP 2800 ZP 3000 ZP 3300 |
| collection | ZDB-2-ENG |
| contents | Challenges and Perspectives of Optimization in the Energy Industry -- Current and Future Challenges for Production Planning Systems -- The Earth Warming Problem: Practical Modeling in Industrial Enterprises -- Deterministic Methods -- Trading Hubs Construction for Electricity Markets -- A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks -- New Effective Methods of Mathematical Programming and Their Applications to Energy Problems -- Improving Combustion Performance by Online Learning -- Critical States of Nuclear Power Plant Reactors and Bilinear Modeling -- Mixed-Integer Optimization for Polygeneration Energy Systems Design -- Optimization of the Design and Partial-Load Operation of Power Plants Using Mixed-Integer Nonlinear Programming -- Optimally Running a Biomass-Based Energy Production Process -- Mathematical Modeling of Batch, Single Stage, Leach Bed Anaerobic Digestion of Organic Fraction of Municipal Solid Waste -- Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains -- Applications of TRUST-TECH Methodology in Optimal Power Flow of Power Systems -- Stochastic Programming: Methods and Applications -- Scenario Tree Approximation and Risk Aversion Strategies for Stochastic Optimization of Electricity Production and Trading -- Optimization of Dispersed Energy Supply —Stochastic Programming with Recombining Scenario Trees -- Stochastic Model of the German Electricity System -- Optimization of Risk Management Problems in Generation and Trading Planning -- Optimization Methods Application to Optimal Power Flow in Electric Power Systems -- WILMAR: A Stochastic Programming Tool to Analyze the Large-Scale Integration of Wind Energy -- Stochastic Programming in Pricing -- Clean Valuation with Regard to EU Emission Trading -- Efficient Stochastic Programming Techniques for Electricity Swing Options -- Delta-Hedging a Hydropower Plant Using Stochastic Programming |
| ctrlnum | (OCoLC)698780581 (DE-599)BVBBV041889668 |
| dewey-full | 515.64 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 515 - Analysis |
| dewey-raw | 515.64 |
| dewey-search | 515.64 |
| dewey-sort | 3515.64 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Energietechnik |
| doi_str_mv | 10.1007/978-3-540-88965-6 |
| format | Electronic eBook |
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| genre | 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV041889668 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:07:32Z |
| institution | BVB |
| isbn | 9783540889656 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027333622 |
| oclc_num | 698780581 |
| open_access_boolean | |
| owner | DE-634 DE-898 DE-BY-UBR DE-92 DE-83 |
| owner_facet | DE-634 DE-898 DE-BY-UBR DE-92 DE-83 |
| physical | 1 Online-Ressource (XX, 533 p) |
| psigel | ZDB-2-ENG |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Energy Systems |
| spelling | Kallrath, Josef Verfasser aut Optimization in the Energy Industry edited by Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, Max Scheidt Berlin, Heidelberg Springer Berlin Heidelberg 2009 1 Online-Ressource (XX, 533 p) txt rdacontent c rdamedia cr rdacarrier Energy Systems Today, the optimization of production planning processes using IT and quantitative methods is a de-facto standard in the energy industry. The energy problem is challenging and one of the most important political and economical issues in the world. Governments face the problem how to adopt the system of 'Cap and Trade.' Especially, energy consuming industries, like steel, power, oil and chemical, are seriously confronted with this problem. The book offers a broad in-depth overview reflecting the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry. 22 chapters with world-wide origins illuminate the mathematical requirements based on practical experiences and provide an ideal insight into the energy world -- from integration of wind energy, chain of errors in nuclear power plants and scheduling of hydroelectric power stations, over risk assessment in trading activities to various mathematical approaches Challenges and Perspectives of Optimization in the Energy Industry -- Current and Future Challenges for Production Planning Systems -- The Earth Warming Problem: Practical Modeling in Industrial Enterprises -- Deterministic Methods -- Trading Hubs Construction for Electricity Markets -- A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks -- New Effective Methods of Mathematical Programming and Their Applications to Energy Problems -- Improving Combustion Performance by Online Learning -- Critical States of Nuclear Power Plant Reactors and Bilinear Modeling -- Mixed-Integer Optimization for Polygeneration Energy Systems Design -- Optimization of the Design and Partial-Load Operation of Power Plants Using Mixed-Integer Nonlinear Programming -- Optimally Running a Biomass-Based Energy Production Process -- Mathematical Modeling of Batch, Single Stage, Leach Bed Anaerobic Digestion of Organic Fraction of Municipal Solid Waste -- Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains -- Applications of TRUST-TECH Methodology in Optimal Power Flow of Power Systems -- Stochastic Programming: Methods and Applications -- Scenario Tree Approximation and Risk Aversion Strategies for Stochastic Optimization of Electricity Production and Trading -- Optimization of Dispersed Energy Supply —Stochastic Programming with Recombining Scenario Trees -- Stochastic Model of the German Electricity System -- Optimization of Risk Management Problems in Generation and Trading Planning -- Optimization Methods Application to Optimal Power Flow in Electric Power Systems -- WILMAR: A Stochastic Programming Tool to Analyze the Large-Scale Integration of Wind Energy -- Stochastic Programming in Pricing -- Clean Valuation with Regard to EU Emission Trading -- Efficient Stochastic Programming Techniques for Electricity Swing Options -- Delta-Hedging a Hydropower Plant Using Stochastic Programming Mathematics Mathematical optimization Electric engineering Operations research Calculus of Variations and Optimal Control; Optimization Operation Research/Decision Theory Energy Technology Mathematik Elektrische Energietechnik (DE-588)4113411-4 gnd rswk-swf Elektrizitätserzeugung (DE-588)4133665-3 gnd rswk-swf Deterministische Optimierung (DE-588)4149219-5 gnd rswk-swf Elektrizitätsverbrauch (DE-588)4136749-2 gnd rswk-swf Stochastische Optimierung (DE-588)4057625-5 gnd rswk-swf Kraftwerkstechnik (DE-588)4165467-5 gnd rswk-swf Energieerzeugung (DE-588)4070813-5 gnd rswk-swf Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd rswk-swf Energiemanagement (DE-588)4124833-8 gnd rswk-swf Energiewirtschaft (DE-588)4014743-5 gnd rswk-swf Energiezufuhr (DE-588)4315201-6 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Kraftwerkstechnik (DE-588)4165467-5 s Energieerzeugung (DE-588)4070813-5 s Energiezufuhr (DE-588)4315201-6 s Elektrizitätsversorgungsnetz (DE-588)4121178-9 s 2\p DE-604 Elektrische Energietechnik (DE-588)4113411-4 s Energiemanagement (DE-588)4124833-8 s Elektrizitätserzeugung (DE-588)4133665-3 s Elektrizitätsverbrauch (DE-588)4136749-2 s 3\p DE-604 Energiewirtschaft (DE-588)4014743-5 s Deterministische Optimierung (DE-588)4149219-5 s 4\p DE-604 Stochastische Optimierung (DE-588)4057625-5 s 5\p DE-604 6\p DE-604 7\p DE-604 Pardalos, Panos M. Sonstige oth Rebennack, Steffen Sonstige oth Scheidt, Max Sonstige oth Erscheint auch als Druckausgabe 978-3-540-88964-9 https://doi.org/10.1007/978-3-540-88965-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 7\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kallrath, Josef Optimization in the Energy Industry Challenges and Perspectives of Optimization in the Energy Industry -- Current and Future Challenges for Production Planning Systems -- The Earth Warming Problem: Practical Modeling in Industrial Enterprises -- Deterministic Methods -- Trading Hubs Construction for Electricity Markets -- A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks -- New Effective Methods of Mathematical Programming and Their Applications to Energy Problems -- Improving Combustion Performance by Online Learning -- Critical States of Nuclear Power Plant Reactors and Bilinear Modeling -- Mixed-Integer Optimization for Polygeneration Energy Systems Design -- Optimization of the Design and Partial-Load Operation of Power Plants Using Mixed-Integer Nonlinear Programming -- Optimally Running a Biomass-Based Energy Production Process -- Mathematical Modeling of Batch, Single Stage, Leach Bed Anaerobic Digestion of Organic Fraction of Municipal Solid Waste -- Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains -- Applications of TRUST-TECH Methodology in Optimal Power Flow of Power Systems -- Stochastic Programming: Methods and Applications -- Scenario Tree Approximation and Risk Aversion Strategies for Stochastic Optimization of Electricity Production and Trading -- Optimization of Dispersed Energy Supply —Stochastic Programming with Recombining Scenario Trees -- Stochastic Model of the German Electricity System -- Optimization of Risk Management Problems in Generation and Trading Planning -- Optimization Methods Application to Optimal Power Flow in Electric Power Systems -- WILMAR: A Stochastic Programming Tool to Analyze the Large-Scale Integration of Wind Energy -- Stochastic Programming in Pricing -- Clean Valuation with Regard to EU Emission Trading -- Efficient Stochastic Programming Techniques for Electricity Swing Options -- Delta-Hedging a Hydropower Plant Using Stochastic Programming Mathematics Mathematical optimization Electric engineering Operations research Calculus of Variations and Optimal Control; Optimization Energy Systems Operation Research/Decision Theory Energy Technology Mathematik Elektrische Energietechnik (DE-588)4113411-4 gnd Elektrizitätserzeugung (DE-588)4133665-3 gnd Deterministische Optimierung (DE-588)4149219-5 gnd Elektrizitätsverbrauch (DE-588)4136749-2 gnd Stochastische Optimierung (DE-588)4057625-5 gnd Kraftwerkstechnik (DE-588)4165467-5 gnd Energieerzeugung (DE-588)4070813-5 gnd Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd Energiemanagement (DE-588)4124833-8 gnd Energiewirtschaft (DE-588)4014743-5 gnd Energiezufuhr (DE-588)4315201-6 gnd |
| subject_GND | (DE-588)4113411-4 (DE-588)4133665-3 (DE-588)4149219-5 (DE-588)4136749-2 (DE-588)4057625-5 (DE-588)4165467-5 (DE-588)4070813-5 (DE-588)4121178-9 (DE-588)4124833-8 (DE-588)4014743-5 (DE-588)4315201-6 (DE-588)4143413-4 |
| title | Optimization in the Energy Industry |
| title_auth | Optimization in the Energy Industry |
| title_exact_search | Optimization in the Energy Industry |
| title_full | Optimization in the Energy Industry edited by Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, Max Scheidt |
| title_fullStr | Optimization in the Energy Industry edited by Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, Max Scheidt |
| title_full_unstemmed | Optimization in the Energy Industry edited by Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, Max Scheidt |
| title_short | Optimization in the Energy Industry |
| title_sort | optimization in the energy industry |
| topic | Mathematics Mathematical optimization Electric engineering Operations research Calculus of Variations and Optimal Control; Optimization Energy Systems Operation Research/Decision Theory Energy Technology Mathematik Elektrische Energietechnik (DE-588)4113411-4 gnd Elektrizitätserzeugung (DE-588)4133665-3 gnd Deterministische Optimierung (DE-588)4149219-5 gnd Elektrizitätsverbrauch (DE-588)4136749-2 gnd Stochastische Optimierung (DE-588)4057625-5 gnd Kraftwerkstechnik (DE-588)4165467-5 gnd Energieerzeugung (DE-588)4070813-5 gnd Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd Energiemanagement (DE-588)4124833-8 gnd Energiewirtschaft (DE-588)4014743-5 gnd Energiezufuhr (DE-588)4315201-6 gnd |
| topic_facet | Mathematics Mathematical optimization Electric engineering Operations research Calculus of Variations and Optimal Control; Optimization Energy Systems Operation Research/Decision Theory Energy Technology Mathematik Elektrische Energietechnik Elektrizitätserzeugung Deterministische Optimierung Elektrizitätsverbrauch Stochastische Optimierung Kraftwerkstechnik Energieerzeugung Elektrizitätsversorgungsnetz Energiemanagement Energiewirtschaft Energiezufuhr Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-540-88965-6 |
| work_keys_str_mv | AT kallrathjosef optimizationintheenergyindustry AT pardalospanosm optimizationintheenergyindustry AT rebennacksteffen optimizationintheenergyindustry AT scheidtmax optimizationintheenergyindustry |