國立高雄大學圖資館 |

Language: English

Back

Energy system modeling and optimizationa practical guide using Pyomo /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Energy system modeling and optimizationby Alireza Ghadertootoonchi ...[et al.].
Reminder of title:	a practical guide using Pyomo /
other author:	Ghadertootoonchi, Alireza.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	ix, 118 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electric power systemsMathematical models.
Online resource:	https://doi.org/10.1007/978-3-031-65906-5
ISBN:	9783031659065$q(electronic bk.)

Energy system modeling and optimizationa practical guide using Pyomo /
Energy system modeling and optimizationa practical guide using Pyomo /[electronic resource] :by Alireza Ghadertootoonchi ...[et al.]. - Cham :Springer Nature Switzerland :2024. - ix, 118 p. :ill., digital ;24 cm. - SpringerBriefs in energy,2191-5539. - SpringerBriefs in energy..

Introduction -- How to Use Pyomo -- Electricity System Modeling -- Pyomo Formulation of Electricity System Optimization Problem -- Analyzing Optimization Results.

This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations of energy system technologies and how to employ Pyomo for addressing optimization challenges. The book highlights the significance of energy system optimization in terms of economic and environmental impacts, followed by a detailed exploration of Pyomo, an advanced mathematical programming language. It covers a wide spectrum of problem types, introducing various open-source solvers and outlining the steps involved in developing Python-based Pyomo code to solve optimization problems. Furthermore, the book provides mathematical formulations and Python code for diverse energy technologies, including thermal power plants, renewable energy sources like wind and solar, power transmission lines, and electricity storage systems. It also discusses topics like reliability, load loss, demand-side flexibility, and linearization techniques. To demonstrate practical application, the book offers a case study that progressively builds in complexity, guiding readers in optimizing intricate energy systems based on the models and constraints explained earlier. Targeted at professionals, researchers, and students, it is suitable for those with a foundational understanding of Python and mathematical optimization, and it underscores the crucial role of energy system optimization in addressing contemporary energy sector concerns such as environmental impact reduction and sustainable development.

ISBN: 9783031659065$q(electronic bk.)

Standard No.: 10.1007/978-3-031-65906-5doiSubjects--Topical Terms:

238335
Electric power systems
--Mathematical models.

LC Class. No.: TK1005

Dewey Class. No.: 621.3191

Energy system modeling and optimizationa practical guide using Pyomo /
LDR:02835nmm a22003495a 4500 001 667894
003 DE-He213
005 20240814124815.0
006 m d
007 cr nn 008maaau
008 250107s2024 sz s 0 eng d
020 $a 9783031659065$q(electronic bk.)
020 $a 9783031659058$q(paper)
024 7 $a 10.1007/978-3-031-65906-5 $2 doi
035 $a 978-3-031-65906-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK1005
072 7 $a JPQB $2 bicssc
072 7 $a POL068000 $2 bisacsh
072 7 $a JPQB $2 thema
082 0 4 $a 621.3191 $2 23
090 $a TK1005 $b .E56 2024
245 0 0 $a Energy system modeling and optimization $h [electronic resource] : $b a practical guide using Pyomo / $c by Alireza Ghadertootoonchi ...[et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a ix, 118 p. : $b ill., digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in energy, $x 2191-5539
505 0 $a Introduction -- How to Use Pyomo -- Electricity System Modeling -- Pyomo Formulation of Electricity System Optimization Problem -- Analyzing Optimization Results.
520 $a This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations of energy system technologies and how to employ Pyomo for addressing optimization challenges. The book highlights the significance of energy system optimization in terms of economic and environmental impacts, followed by a detailed exploration of Pyomo, an advanced mathematical programming language. It covers a wide spectrum of problem types, introducing various open-source solvers and outlining the steps involved in developing Python-based Pyomo code to solve optimization problems. Furthermore, the book provides mathematical formulations and Python code for diverse energy technologies, including thermal power plants, renewable energy sources like wind and solar, power transmission lines, and electricity storage systems. It also discusses topics like reliability, load loss, demand-side flexibility, and linearization techniques. To demonstrate practical application, the book offers a case study that progressively builds in complexity, guiding readers in optimizing intricate energy systems based on the models and constraints explained earlier. Targeted at professionals, researchers, and students, it is suitable for those with a foundational understanding of Python and mathematical optimization, and it underscores the crucial role of energy system optimization in addressing contemporary energy sector concerns such as environmental impact reduction and sustainable development.
650 0 $a Electric power systems $x Mathematical models. $3 238335
650 0 $a Python (Computer program language) $3 215247
650 1 4 $a Energy System Transformation. $3 932144
650 2 4 $a Computational Science and Engineering. $3 274685
650 2 4 $a Programming Language. $3 913494
650 2 4 $a Sustainability. $3 376755
650 2 4 $a Engineering Mathematics. $3 806481
700 1 $a Ghadertootoonchi, Alireza. $3 980794
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in energy. $3 561922
856 4 0 $u https://doi.org/10.1007/978-3-031-65906-5
950 $a Energy (SpringerNature-40367)