Author: Wolf Gereon Wedel
Publisher: BoD – Books on Demand
ISBN: 3759702937
Category :
Languages : en
Pages : 282
Book Description
Energy Systems Optimization Considering the Uncertainty of Future Developments
Author: Wolf Gereon Wedel
Publisher: BoD – Books on Demand
ISBN: 3759702937
Category :
Languages : en
Pages : 282
Book Description
Publisher: BoD – Books on Demand
ISBN: 3759702937
Category :
Languages : en
Pages : 282
Book Description
Optimization in Renewable Energy Systems
Author: Ozan Erdinc
Publisher: Butterworth-Heinemann
ISBN: 0081012098
Category : Technology & Engineering
Languages : en
Pages : 327
Book Description
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students. - Provides chapters written by experts in the field - Goes beyond forecasting to apply optimization techniques to a wide variety of renewable energy system issues, from large scale to relatively small scale systems - Provides accompanying computer code for related chapters
Publisher: Butterworth-Heinemann
ISBN: 0081012098
Category : Technology & Engineering
Languages : en
Pages : 327
Book Description
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students. - Provides chapters written by experts in the field - Goes beyond forecasting to apply optimization techniques to a wide variety of renewable energy system issues, from large scale to relatively small scale systems - Provides accompanying computer code for related chapters
Energy Systems Optimization Considering the Uncertainty of Future Developments
Author: Wolf Gereon Wedel
Publisher: BoD – Books on Demand
ISBN: 3759718280
Category : Technology & Engineering
Languages : en
Pages : 282
Book Description
In light of anthropogenic climate change and the importance of energy to ensure high living standards, energy system optimization is used to explore different energy system layouts. A recent focus has been on determining cost-effective ways to mitigate greenhouse gas emissions. This work investigates how future uncertainties regarding technology costs influence optimization results. This is achieved through energy system optimization aimed at reducing system cost using stochastic optimization with probability distributions to capture expected future costs and uncertainties. Theoretical considerations and a minimal example energy system show that Jensen's inequality leads to an overestimation of necessary system costs when scenario optimization considers only the expected technology cost means. Stochastic optimization is applied to a model of the German energy system, including the electricity, heating, and transport sectors. Results from stochastic optimization are compared to scenario results based on mean cost distributions. The use of a factor effect-based meta-model and fewer optimizations in stochastic analysis are investigated to reduce computational effort. The results confirm the overestimation of necessary costs by scenario optimization, showing a 3.5% overestimation with an 80% emission reduction target and 0.4% for a completely renewable system. Stochastic optimization also provides the interquartile range to characterize uncertainty, with a 13.2 Euro MWh-1 interquartile range (27.3% of the mean) for a completely renewable system. Using 30 to 60 optimizations in the stochastic case yields results similar to 500 optimizations, the benchmark. The proposed meta-models offer limited advantages except for predicting extreme results, which are not evident with fewer optimizations. In some cases, especially for non-renewable systems, the expected values from stochastic optimization differ significantly from scenario optimization results. For instance, at a 20% emission limit of 1990 levels, scenario optimization yields 18% of the CO2 emissions compared to the mean of stochastic optimization. Similar differences are seen in other parameters, though most are well-represented by scenario results. Clustering helps manage the diverse results from stochastic optimization by identifying underlying system layouts. Stochastic optimization with probability distributions is robust, with small changes to distributions having minimal impact on outcomes.
Publisher: BoD – Books on Demand
ISBN: 3759718280
Category : Technology & Engineering
Languages : en
Pages : 282
Book Description
In light of anthropogenic climate change and the importance of energy to ensure high living standards, energy system optimization is used to explore different energy system layouts. A recent focus has been on determining cost-effective ways to mitigate greenhouse gas emissions. This work investigates how future uncertainties regarding technology costs influence optimization results. This is achieved through energy system optimization aimed at reducing system cost using stochastic optimization with probability distributions to capture expected future costs and uncertainties. Theoretical considerations and a minimal example energy system show that Jensen's inequality leads to an overestimation of necessary system costs when scenario optimization considers only the expected technology cost means. Stochastic optimization is applied to a model of the German energy system, including the electricity, heating, and transport sectors. Results from stochastic optimization are compared to scenario results based on mean cost distributions. The use of a factor effect-based meta-model and fewer optimizations in stochastic analysis are investigated to reduce computational effort. The results confirm the overestimation of necessary costs by scenario optimization, showing a 3.5% overestimation with an 80% emission reduction target and 0.4% for a completely renewable system. Stochastic optimization also provides the interquartile range to characterize uncertainty, with a 13.2 Euro MWh-1 interquartile range (27.3% of the mean) for a completely renewable system. Using 30 to 60 optimizations in the stochastic case yields results similar to 500 optimizations, the benchmark. The proposed meta-models offer limited advantages except for predicting extreme results, which are not evident with fewer optimizations. In some cases, especially for non-renewable systems, the expected values from stochastic optimization differ significantly from scenario optimization results. For instance, at a 20% emission limit of 1990 levels, scenario optimization yields 18% of the CO2 emissions compared to the mean of stochastic optimization. Similar differences are seen in other parameters, though most are well-represented by scenario results. Clustering helps manage the diverse results from stochastic optimization by identifying underlying system layouts. Stochastic optimization with probability distributions is robust, with small changes to distributions having minimal impact on outcomes.
Advances in Energy System Optimization
Author: Valentin Bertsch
Publisher: Springer
ISBN: 3319517953
Category : Mathematics
Languages : en
Pages : 239
Book Description
The papers presented in this volume address diverse challenges in energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids and from theoretical considerations to data provision concerns and applied case studies. The International Symposium on Energy System Optimization (ISESO) was held on November 9th and 10th 2015 at the Heidelberg Institute for Theoretical Studies (HITS) and was organized by HITS, Heidelberg University and Karlsruhe Institute of Technology.
Publisher: Springer
ISBN: 3319517953
Category : Mathematics
Languages : en
Pages : 239
Book Description
The papers presented in this volume address diverse challenges in energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids and from theoretical considerations to data provision concerns and applied case studies. The International Symposium on Energy System Optimization (ISESO) was held on November 9th and 10th 2015 at the Heidelberg Institute for Theoretical Studies (HITS) and was organized by HITS, Heidelberg University and Karlsruhe Institute of Technology.
Urban Energy Systems
Author: James Keirstead
Publisher: Routledge
ISBN: 0415529018
Category : Architecture
Languages : en
Pages : 338
Book Description
This book analyses the technical and social systems that satisfy these needs and asks how methods can be put into practice to achieve this.
Publisher: Routledge
ISBN: 0415529018
Category : Architecture
Languages : en
Pages : 338
Book Description
This book analyses the technical and social systems that satisfy these needs and asks how methods can be put into practice to achieve this.
Proceedings of the 4th International Symposium on New Energy and Electrical Technology
Author: Fushuan Wen
Publisher: Springer Nature
ISBN: 9819770475
Category :
Languages : en
Pages : 644
Book Description
Publisher: Springer Nature
ISBN: 9819770475
Category :
Languages : en
Pages : 644
Book Description
Process Systems Engineering
Author: Edwin Zondervan
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110705311
Category : Science
Languages : en
Pages : 494
Book Description
Process systems engineering (PSE) is a discipline that delivers tools for guided decision-making in the development of new processes and products. Proven successful in the pharmaceutical-, food- and water sectors, it has also breached the field of energy systems. The future energy systems aim to be more efficient, cost-effective, environmentally benign, and interconnected. The design and operation is extremely challenging for decision-makers, engineers, and scientists and here lies a crucial role for the process systems engineer.
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110705311
Category : Science
Languages : en
Pages : 494
Book Description
Process systems engineering (PSE) is a discipline that delivers tools for guided decision-making in the development of new processes and products. Proven successful in the pharmaceutical-, food- and water sectors, it has also breached the field of energy systems. The future energy systems aim to be more efficient, cost-effective, environmentally benign, and interconnected. The design and operation is extremely challenging for decision-makers, engineers, and scientists and here lies a crucial role for the process systems engineer.
New Solutions for Smart Grids With High-Penetration Distributed Energy Resources
Author: Yang Li
Publisher: Frontiers Media SA
ISBN: 2889744116
Category : Technology & Engineering
Languages : en
Pages : 186
Book Description
Publisher: Frontiers Media SA
ISBN: 2889744116
Category : Technology & Engineering
Languages : en
Pages : 186
Book Description
Handbook on Energy and Economic Growth
Author: Mohamed Arouri
Publisher: Edward Elgar Publishing
ISBN: 1802204806
Category : Business & Economics
Languages : en
Pages : 495
Book Description
This comprehensive Handbook examines the links between energy, the economy, and the environment. Esteemed international experts explore the ways in which energy contributes to economic growth, particularly in the context of geopolitical uncertainties.
Publisher: Edward Elgar Publishing
ISBN: 1802204806
Category : Business & Economics
Languages : en
Pages : 495
Book Description
This comprehensive Handbook examines the links between energy, the economy, and the environment. Esteemed international experts explore the ways in which energy contributes to economic growth, particularly in the context of geopolitical uncertainties.
Advances in Distributed Energy Resources Aggregation for the Low Carbon Future
Author: Qinran Hu
Publisher: Frontiers Media SA
ISBN: 2832514545
Category : Technology & Engineering
Languages : en
Pages : 149
Book Description
Publisher: Frontiers Media SA
ISBN: 2832514545
Category : Technology & Engineering
Languages : en
Pages : 149
Book Description