Energy policy modeling in the 21st Century /
- 出版日期：c2013.
- 出版者：Springer,
- 页数：xiii, 273 pages :
- 出版地：New York :
- 第一责任说明：Hassan Qudrat-Ullah, editor.
- 尺寸：25 cm.
- 分类号：a403
- ISBN：9781461486053(hardback) :
MARC全文
02h0047726 20160517110852.0 160411s2013 nyua frb |001|||eng d 9781461486053(hardback) : CNY752.00 GW5XE eng rda ; pn GW5XE YDXCP ; ZMC ; COO ; CHVBK ; OCLCF ; OCLCQ ; OCLCO ; OCLCQ ; EBLCP ; CNNGL HD9502.A2 333.79 23 a403 Energy policy modeling in the 21st Century / Hassan Qudrat-Ullah, editor. New York : Springer, c2013. aNew York : bSpringer, c2013. xiii, 273 pages : illustrations (some color) ; 25 cm. atext btxt 2rdacontent aunmediated bn 2rdamedia avolume bnc 2rdacarrier Understanding complex systems, ; Springer complexity 1860-0832 Includes bibliographic reference and index. Energy Policy Modeling in Twenty-First Century: An Introduction -- ; Energy Policy Modeling in the 21st Century: An Introduction / ; Modeling Approaches and Energy Policy Decisions -- ; Thinking About the Future / ; Fuzzy System Dynamics: A Framework for Modeling Renewable Energy Policies / ; The Diffusion of Eco-Technologies: A Model-Based Theory / ; Managing the Energy Basket in the Face of Limits / ; Power Plant Relocation Policy versus Investments in Transmission Network Infrastructure: A Study on the Italian Energy Market / ; Simulation of Greenhouse Gas Cap-and-Trade Systems with ENERGY 2020 / ; System Dynamics and Agent-Based Models in Action -- ; Energy Policy Planning for Climate-Resilient Low-Carbon Development / ; Understanding the Dynamics of Electricity Supply and Demand in Canada / ; Adoption of Renewable Energy Technologies: A Fuzzy System Dynamics Perspective / ; Resurrecting a Forgotten Model: Updating Mashayekhi's Model of Iranian Economic Development / ; Making Progress Towards Emissions Mitigation: Modeling Low-Carbon Power Generation Policy / ; Exploring Energy and Economic Futures Using Agent-Based Modeling and Scenario Discovery / Hassan Qudrat-Ullah -- ; Erik R. Larsen and Santiago Arango -- ; Michael Mutingi and Charles Mbohwa -- ; Matthias Otto Mu虉ller, Ruth Kaufmann-Hayoz, Markus Schwaninger and Silvia Ulli-Beer -- ; Khalid Saeed -- ; Silvano Cincotti and Giulia Gallo -- ; Jeffrey S. Amlin -- ; Andrea M. Bassi, Prakash (Sanju) Deenapanray and Pa虋l Davidsen -- ; Hassan Qudrat-Ullah -- ; Michael Mutingi -- ; Saeed P. Langarudi and Michael J. Radzicki -- ; Isaac Dyner, Carlos J. Franco and Laura M. Cardenas -- ; P. Wang, M.D. Gerst and M.E. Borsuk. The roles and applications of various modeling approaches, aimed at improving the usefulness of energy policy models in public decision making, are covered by this book. The development, validation, and applications of system dynamics and agent-based models in service of energy policy design and assessment in the 21st century is a key focus. A number of modeling approaches and models for energy policy, with a particular focus on low-carbon economic development of regions and states are covered. Chapters on system dynamics methodology, model-based theory, fuzzy system dynamics frame-work, and optimization modeling approach are presented, along with several chapters on future research opportunities for the energy policy modeling community. The use of model-based analysis and scenarios in energy policy design and assessment has seen phenomenal growth during the past several decades. In recent years, renewed concerns about climate change and energy security have posed unique modeling challenges. By utilizing the validation techniques and procedures which are effectively demonstrated in these contributions, researchers and practitioners in energy systems domain can increase the appeal and acceptance of their policy models. Energy policy ; Energy policy Mathematical models. ; Decision making. aQudrat-Ullah, H. ; q(Hassan), ; eeditor. Understanding complex systems. ; Springer complexity. aCN b010001 010001 403 Q2 gljx1604 h1 ; rCNY752.00