By Ali Mostashari
This quantity offers the basics of concerning stakeholders in collaborative modeling of strength platforms, together with the technical subsystem in addition to its financial, social, environmental and political subsystems. It offers a Stakeholder-Assisted Modeling and coverage layout (SAM-PD) framework that may be utilized via power method builders, managers and decisionmakers to contain a variety of stakeholders in staff model-building on a bigger scale. by means of illustrating the features of the SAM-PD framework, the e-book introduces an exact case learn of the Cape Wind Offshore Wind strength undertaking. this situation learn information the method wherein the writer introduced jointly loads of stakeholders to together version the Cape Wind power approach and its broader implications for the neighborhood power photo and the neighborhood economic climate and setting. It additionally bargains the latest in-depth research of the Cape Wind venture.
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Extra resources for Collaborative Modeling and Decision-Making for Complex Energy Systems
2000) Linking Science to Decision Making in Environmental Policy: Bridging the Disciplinary Gap. Cambridge, MA: MIT Press. Dror, Y. (2003) Science advice: Tasks, preferable features, impact assessment. IPTS Report, 72 (March): 13–19. L. (1999) Joint fact-finding and the use of technical experts. , and Thomas-Larmer, J. ), The Consensus Building Handbook. , pp. 375–399. , and Sussman, J. (2009) A framework for analysis, design and implementation of complex large-scale interconnected sociotechnological systems.
Essentially the field has shifted away from large-scale systems modeling to problem-centered models and has mostly focused on the business community. The survival and growth of the field for over 40 years shows its intrinsic values while we bear its limitations in mind. The CLIOS process is too recent and too theoretical at this point to be evaluated in terms of its strengths and weaknesses. There are many elements that can be considered an improvement over other engineering systems approaches.
As Fig. 1 shows, there is a separation between the science sphere and the public policy sphere, in which the decisions are made. 1. Obstacles to Effective Decision-making in Science-Intensive Disputes Issue Problem definition Scientific data Expertise Process Potential problems • • • • • • • • • • • • • • • • • • • • • Recommendations • Poor framing of issue Lack of access for all stakeholders Inadequacy of existing data Significance of presented data Irrelevance of data Restricted nature of data (confidentiality) Inconclusiveness of data Data not yet verified or not yet usable Commissioned and biased data Technical and scientific uncertainty Outdated data Data overload of stakeholders Multi-disciplinary nature of problem Unevenness in scientific understanding among stakeholders Differential stakeholder tolerance of complexity Commissioned and partisan expertise Theories unsupported by actual data Pseudo-expertise Unrealistic expectations from technical experts Stakeholders engaged after scientific analysis complete or near-complete Stakeholder using science as a cover for other agendas Lack of economic and social feasibility of recommendations Source: Adler et al.