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|a 9789814335201 (electronic bk.)
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|a 333.79
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|a Mostashari, Ali.
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|a Collaborative modeling and decision-making for complex energy systems
|c Ali Mostashari.
|h [electronic resource] /
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| 260 |
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|a Singapore ;
|a Hackensack, N.J. :
|b World Scientific Pub. Co.,
|c c2011.
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| 300 |
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|a viii, 304 p. :
|b ill. (some col.)
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| 504 |
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|a Includes bibliographical references and index.
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|a ch. 1. Introduction. 1.1. Motivation and context : Engineering systems and stakeholder involvement. 1.2. Significance of the book topic. 1.3. Towards a better energy systems decision-making process. 1.4. Approach. 1.5. The importance of systems representation. 1.6. Chapter summary -- ch. 2. Systems analysis. 2.1. What are engineering systems? 2.2. Engineering systems analysis methodologies. 2.3. Critique of engineering systems methodologies. 2.4. Chapter summary -- ch. 3. The role of expert analysis in complex systems decisions. 3.1. The role of technical expertise in engineering systems policy-making. 3.2. Challenges for effective use of science in engineering systems policy. 3.3. Perceived technical expert bias and scientific advocacy. 3.4. Communicating science and scientific uncertainty. 3.5. Interactions among stakeholders, decision-makers and technical experts/experts. 3.6. System representations and system models as boundary objects in science-intensive disputes. 3.7. Obstacles to increasing the role of expertise in decision-making. 3.8. Chapter summary -- ch. 4. Systems representation and decision-making. 4.1. Representations and the abstraction of reality. 4.2. Internal representation : Mental maps. 4.3. External representation : Words and imagery. 4.4. Representations, beliefs and value systems. 4.5. Representation and bias. 4.6. Engineering systems representation. 4.7. Experiments in engineering systems representation. 4.8. Stakeholders, conflict and systems representation. 4.9. Challenges of involving stakeholders in engineering systems representation. 4.10. Designing an effective stakeholder-assisted representation process. 4.11. Limitations of system representations as a basis for collaborative processes. 4.12. Chapter summary.
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|a ch. 5. Stakeholder-assisted modeling and policy design. 5.1. The stakeholder-assisted modeling and policy design process. 5.2. Outline of the SAM-PD process. 5.3. Problem identification and process preparation stage. 5.4. Stakeholder assessment stage. 5.5. Extracting contextual knowledge from stakeholder statements. 5.6. System representation, evaluation and policy design stage. 5.7. Consensus-seeking negotiation. 5.8. Process effectiveness and validity assessment through peer review. 5.9. Implementation and post-implementation stage (CLIOS steps 10-12). 5.10. Chapter summary -- ch. 6. The Cape Wind Offshore Wind Energy Project. 6.1. Project timeline. 6.2. Legal context for offshore wind energy development in Massachusetts. 6.3. Project overview. 6.4. The environmental impact assessment process. 6.5. Public reaction to Cape Wind. 6.6. Stakeholder involvement in the Cape Wind Project. 6.7. Major sources of dispute in the DEIS. 6.8. Chapter summary -- ch. 7. Stakeholder-assisted modeling of Cape Wind. 7.1. Applying the SAM-PD process to the Cape Wind Project. 7.2. Problem identification and process preparation. 7.3. Stakeholder conflict assessment. 7.4. Problem refinement and system definition. 7.5. Initial stakeholder-assisted representation. 7.6. Stakeholder-refined system representation. 7.7. Workshop dynamics and results. 7.8. Stakeholder feedback survey. 7.9. Additional feedback from the stakeholder survey. 7.10. Comparing the refined stakeholder-assisted representation with the U.S. Army Corps of Engineers scoping document. 7.11. Chapter summary -- ch. 8. Learning from Cape Wind. 8.1. SAM-PD process preparation. 8.2. Collaborative process dynamics. 8.3. System representation as a basis for collaborative process. 8.4. Compatibility of SAM-PD with current permitting process. 8.5. Conclusion.
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| 520 |
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|a 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 decisionmakers 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.
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| 533 |
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|a Electronic reproduction.
|b Singapore :
|c World Scientific Publishing Co.,
|d 2011.
|n System requirements: Adobe Acrobat Reader.
|n Mode of access: World Wide Web.
|n Available to subscribing institutions.
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| 650 |
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|a Energy policy
|x Decision making.
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| 655 |
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|a Electronic books.
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|a World Scientific (Firm)
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|z 9814335193
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|z 9789814335195
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|u https://ezaccess.library.uitm.edu.my/login?url=http://www.worldscientific.com/worldscibooks/10.1142/8025#t=toc
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