Unpacking the modeling process for energy policy makingLo Piano, S. ORCID: https://orcid.org/0000-0002-2625-483X, Lőrincz, M. J. ORCID: https://orcid.org/0000-0002-3853-0918, Puy, A., Pye, S., Saltelli, A., Smith, S. T. ORCID: https://orcid.org/0000-0002-5053-4639 and van der Sluijs, J. (2023) Unpacking the modeling process for energy policy making. Risk Analysis. ISSN 1539-6924
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1111/risa.14248 Abstract/SummaryThis article explores how the modeling of energy systems may lead to an undue closure of alternatives by generating an excess of certainty around some of the possible policy options. We retrospectively exemplify the problem with the case of the International Institute for Applied Systems Analysis (IIASA) global modeling in the 1980s. We discuss different methodologies for quality assessment that may help mitigate this issue, which include Numeral Unit Spread Assessment Pedigree (NUSAP), diagnostic diagrams, and sensitivity auditing (SAUD). We illustrate the potential of these reflexive modeling practices in energy policy‐making with three additional cases: (i) the case of the energy system modeling environment (ESME) for the creation of UK energy policy; (ii) the negative emission technologies (NETs) uptake in integrated assessment models (IAMs); and (iii) the ecological footprint indicator. We encourage modelers to adopt these approaches to achieve more robust, defensible, and inclusive modeling activities in the field of energy research.
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