Author : Ali Mostashari
Publisher : World Scientific
ISBN 13 : 9814462330
Total Pages : 312 pages
Book Rating : 4.34/5 ( download)
Book Synopsis Collaborative Modeling and Decision-Making for Complex Energy Systems by : Ali Mostashari
Download or read book Collaborative Modeling and Decision-Making for Complex Energy Systems written by Ali Mostashari and published by World Scientific. This book was released on 2011-01-27 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides the fundamentals of involving stakeholders in collaborative modeling of energy systems, including the technical subsystem as well as its economic, social, environmental and political subsystems. It presents a Stakeholder-Assisted Modeling and Policy Design (SAM-PD) framework that can be applied by energy system developers, managers and decision makers to involve a wide range of stakeholders in group model-building on a larger scale. By illustrating the capabilities of the SAM-PD framework, the book introduces an actual case study of the Cape Wind Offshore Wind Energy project. This case study details the process by which the author brought together a large number of stakeholders to jointly model the Cape Wind energy system and its broader implications for the regional energy picture and the regional economy and environment. It also offers the most recent in-depth analysis of the Cape Wind project. Contents:Systems AnalysisThe Role of Expert Analysis in Complex Systems DecisionsSystems Representation and Decision-MakingStakeholder-Assisted Modeling and Policy DesignThe Cape Wind Offshore Wind Energy ProjectStakeholder-Assisted Modeling of Cape WindLearning from Cape Wind Readership: Students, researchers in System Engineering, Energy Studies and Public Policy. Keywords:Engineering Systems;Stakeholders Involvement;Stakeholder-Assisted Modeling and Policy Design (SAM-PD);Cape Wind;Energy SystemKey Features:This is a unique volume that combines a rich theoretical framework for involving stakeholders in engineering decision-making with an actual in-depth case studyThe presented frameworks are highly innovative and easy to implement in current decision-making processes