Improving consistency among models of overlapping scope in multi-sector studies: The case of electricity capacity expansion scenarios

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:116

Article

Iyer, G. C.¹  Brown, M.²  Cohen, S. M.²  Macknick, J.²  Patel, P.¹  Wise, M.¹  Binsted, M.¹  Voisin, N.^3,4 

[1] Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA

[2] Natl Renewable Energy Lab, Golden, CO USA

[3] Pacific Northwest Natl Lab, Seattle, WA USA

[4] Univ Washington, Seattle, WA 98195 USA

关键词: Energy-water-land;    Consistency;    Energy modeling;    Structural uncertainty;    Scenarios;    Capacity expansion;   

DOI  :  10.1016/j.rser.2019.109416

来源: Elsevier

【 摘 要 】

Multi-decadal scenarios produced by modeling studies are used to study the evolution of key infrastructure that cuts across energy, water, and land systems. Scenarios produced by different models contain inconsistencies due to disparate model structures and assumptions. Although inconsistencies can characterize structural uncertainties, they could have important consequences in various contexts such as multi-sector energy-water-land studies that couple multiple models. In such studies, it is important for models with overlapping scope (models having different sectoral, regional, temporal, and process details but producing scenarios for some common output variable(s)) to produce consistent scenarios of common output variable(s) to minimize propagation of inconsistent information. Using the example of baseline electricity capacity expansion scenarios produced by two models with overlapping scope, we explore cross-model scenario consistency (extent to which projections for a common scenario variable(s) diverge). We define a quantitative metric of consistency and examine the sensitivity of consistency of the models' electricity generation by technology outputs to changes in harmonization of assumptions surrounding the representations of key capacity expansion drivers such as fuel prices, renewable resources, demand, and retirements. Our study establishes a framework to systematically examine scenario consistency. In addition, our study utilizes complementary features of well-established models to produce consistent baseline electricity capacity expansion scenarios which can then be used in multi-sector studies.

【 授权许可】

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