System-of-Systems Perspective and Exploratory Modeling to Support the Design of Adaptive Policy for Reducing Carbon Emission

Reducing carbon emissions is needed to tackle climate change. However, despite the large uncertainties surrounding the issue, most policy design processes employ a predict-then-act approach. This paper applies a system-of-systems perspective and exploratory modeling method to support the design of an adaptive policy. Using a case in the Dutch residential sector, we use the SoS perspective as a way to decompose the policy issue into interdependent relevant policy systems. This representation of the policy system provides a framework to test a large number of hypotheses about the evolution of the system's behavior by way of computational experiments, which form the core of the exploratory modeling method. As some of the system uncertainties are resolved, policies am adapted so that policy goals can still be met. In particular, in a situation in which the realized emission level misses the target, a new set of conditions can be identified to bring the level back to the intended target.

[1]  Nebojsa Nakicenovic,et al.  Characterizing Climate-Change Uncertainties for Decision-Makers , 2004 .

[2]  Datu Buyung Agusdinata,et al.  Specification of System of Systems for Policymaking in The Energy Sector , 2006, 2006 IEEE/SMC International Conference on System of Systems Engineering.

[3]  A. Piebalgs Green paper: A European strategy for sustainable, competitive and secure energy , 2006 .

[4]  W. Walker Policy analysis: a systematic approach to supporting policymaking in the public sector , 2000 .

[5]  Warren E. Walker,et al.  Adaptive policies, policy analysis, and policy-making , 2001, Eur. J. Oper. Res..

[6]  M. Granger Morgan,et al.  Characterizing and Dealing With Uncertainty: Insights from the Integrated Assessment of Climate Change , 2003 .

[7]  John D. Sterman,et al.  All models are wrong: reflections on becoming a systems scientist† , 2002 .

[8]  Dean W. Boyd,et al.  A Model of Technology Selection by Cost Minimizing Producers , 1982 .

[9]  James S. Hodges,et al.  Six (Or So) Things You Can Do with a Bad Model , 1991, Oper. Res..

[10]  Steve Bankes,et al.  Exploratory Modeling for Policy Analysis , 1993, Oper. Res..

[11]  J. Edmonds,et al.  Modelling energy technologies in a competitive market , 1993 .

[12]  M. Schlesinger,et al.  When we don't know the costs or the benefits: Adaptive strategies for abating climate change , 1997 .

[13]  Nebojsa Nakicenovic,et al.  Characterizing Climate-Change Uncertainties for Decision-Makers. An Editorial Essay , 2004 .

[14]  Daniel DeLaurentis,et al.  A System-of-Systems Perspective for Public Policy Decisions , 2004 .

[15]  Srikanta Mishra,et al.  Application of classification trees in the sensitivity analysis of probabilistic model results , 2003, Reliab. Eng. Syst. Saf..