東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Informing energy and climate policie...

Giannakidis, George.

Linked to FindBook

Google Book

Amazon

博客來

Informing energy and climate policies using energy systems models = insights from scenario analysis increasing the evidence base /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Informing energy and climate policies using energy systems models/ edited by George Giannakidis ... [et al.].
Reminder of title:	insights from scenario analysis increasing the evidence base /
other author:	Giannakidis, George.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiv, 426 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction: Energy Systems Modelling for Decision-Making -- Energy policies influenced by energy systems modeling-Case studies in UK, Ireland, Portugal and G8 -- A global renewable energy roadmap: Comparing energy systems models with IRENA's REmap 2030 project -- Energy decisions in an uncertain climate and technology outlook : how stochastic and robust methodologies can assist policy-makers.
Contained By:	Springer eBooks
Subject:	Computer simulation. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-16540-0
ISBN:	9783319165400 (electronic bk.)

Informing energy and climate policies using energy systems models = insights from scenario analysis increasing the evidence base /
Informing energy and climate policies using energy systems modelsinsights from scenario analysis increasing the evidence base /[electronic resource] :edited by George Giannakidis ... [et al.]. - Cham :Springer International Publishing :2015. - xiv, 426 p. :ill., digital ;24 cm. - Lecture notes in energy,v.302195-1284 ;. - Lecture notes in energy ;13..

Introduction: Energy Systems Modelling for Decision-Making -- Energy policies influenced by energy systems modeling-Case studies in UK, Ireland, Portugal and G8 -- A global renewable energy roadmap: Comparing energy systems models with IRENA's REmap 2030 project -- Energy decisions in an uncertain climate and technology outlook : how stochastic and robust methodologies can assist policy-makers.

This book highlights how energy-system models are used to underpin and support energy and climate mitigation policy decisions at national, multi-country and global levels. It brings together, for the first time in one volume, a range of methodological approaches and case studies of good modeling practice on a national and international scale from the IEA-ETSAP energy technology initiative. It provides insights for the reader into the rich and varied applications of energy-system models and the underlying methodologies and policy questions they can address. The book demonstrates how these models are used to answer complex policy questions, including those relating to energy security, climate change mitigation and the optimal allocation of energy resources. It will appeal to energy engineers and technology specialists looking for a rationale for innovation in the field of energy technologies and insights into their evolving costs and benefits. Energy economists will gain an understanding of the key future role of energy technologies and policy makers will learn how energy-system modeling teams can provide unique perspectives on national energy and environment challenges. The book is carefully structured into three parts which focus on i) policy decisions that have been underpinned by energy-system models, ii) specific aspects of supply and end-use sector modeling, including technology learning and behavior and iii) how additional insights can be gained from linking energy-system models with other models. The chapters elucidate key methodological features backed up with concrete applications. The book demonstrates the high degree of flexibility of the modeling tools used to represent extremely different energy systems, from national to global levels.

ISBN: 9783319165400 (electronic bk.)

Standard No.: 10.1007/978-3-319-16540-0doiSubjects--Topical Terms:

525602
Computer simulation.

LC Class. No.: QA76.9.C65

Dewey Class. No.: 003.3

Informing energy and climate policies using energy systems models = insights from scenario analysis increasing the evidence base /
LDR:03276nmm m2200337 m 4500 001 2001682
003 DE-He213
005 20151116142207.0
006 m d
007 cr nn 008maaau
008 151215s2015 gw s 0 eng d
020 $a 9783319165400 (electronic bk.)
020 $a 9783319165394 (paper)
024 7 $a 10.1007/978-3-319-16540-0 $2 doi
035 $a 978-3-319-16540-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.C65
072 7 $a TH $2 bicssc
072 7 $a KNB $2 bicssc
072 7 $a BUS070040 $2 bisacsh
082 0 4 $a 003.3 $2 23
090 $a QA76.9.C65 $b I43 2015
245 0 0 $a Informing energy and climate policies using energy systems models $h [electronic resource] : $b insights from scenario analysis increasing the evidence base / $c edited by George Giannakidis ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiv, 426 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in energy, $x 2195-1284 ; $v v.30
505 0 $a Introduction: Energy Systems Modelling for Decision-Making -- Energy policies influenced by energy systems modeling-Case studies in UK, Ireland, Portugal and G8 -- A global renewable energy roadmap: Comparing energy systems models with IRENA's REmap 2030 project -- Energy decisions in an uncertain climate and technology outlook : how stochastic and robust methodologies can assist policy-makers.
520 $a This book highlights how energy-system models are used to underpin and support energy and climate mitigation policy decisions at national, multi-country and global levels. It brings together, for the first time in one volume, a range of methodological approaches and case studies of good modeling practice on a national and international scale from the IEA-ETSAP energy technology initiative. It provides insights for the reader into the rich and varied applications of energy-system models and the underlying methodologies and policy questions they can address. The book demonstrates how these models are used to answer complex policy questions, including those relating to energy security, climate change mitigation and the optimal allocation of energy resources. It will appeal to energy engineers and technology specialists looking for a rationale for innovation in the field of energy technologies and insights into their evolving costs and benefits. Energy economists will gain an understanding of the key future role of energy technologies and policy makers will learn how energy-system modeling teams can provide unique perspectives on national energy and environment challenges. The book is carefully structured into three parts which focus on i) policy decisions that have been underpinned by energy-system models, ii) specific aspects of supply and end-use sector modeling, including technology learning and behavior and iii) how additional insights can be gained from linking energy-system models with other models. The chapters elucidate key methodological features backed up with concrete applications. The book demonstrates the high degree of flexibility of the modeling tools used to represent extremely different energy systems, from national to global levels.
650 0 $a Computer simulation. $3 525602
650 0 $a Energy policy. $3 539097
650 1 4 $a Energy. $3 876794
650 2 4 $a Energy Policy, Economics and Management. $3 1532761
650 2 4 $a Climate Change Management and Policy. $3 1985335
650 2 4 $a Energy Technology. $3 1001977
700 1 $a Giannakidis, George. $3 2145509
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in energy ; $v 13. $3 1567845
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-16540-0
950 $a Energy (Springer-40367)