Evolution of the US energy system and related emissions under varying social and technological development paradigms: Plausible scenarios for use in robust decision making

The energy system is the primary source of air pollution. Thus, evolution of the energy system into the future will affect society’s ability to maintain air quality. Anticipating this evolution is difficult because of inherent uncertainty in predicting future energy demand, fuel use, and technology...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental science & technology 2018-07, Vol.52 (14), p.8027-8038
Hauptverfasser: Brown, Kristen E., Hottle, Troy A., Bandyopadhyay, Rubenka, Babaee, Samaneh, Dodder, Rebecca S., Kaplan, P. Ozge, Lenox, Carol S., Loughlin, Daniel H.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The energy system is the primary source of air pollution. Thus, evolution of the energy system into the future will affect society’s ability to maintain air quality. Anticipating this evolution is difficult because of inherent uncertainty in predicting future energy demand, fuel use, and technology adoption. We apply Scenario Planning to address this uncertainty, developing four very different visions of the future. Stakeholder engagement suggested technological progress and social attitudes toward the environment are critical and uncertain factors for determining future emissions. Combining transformative and static assumptions about these factors yields a matrix of four scenarios that encompass a wide range of outcomes. We implement these scenarios in the U.S. EPA MARKAL model. Results suggest that both shifting attitudes and technology transformation may lead to emission reductions relative to present, even without additional policies. Emission caps, such as the Cross State Air Pollution Rule, are most effective at protecting against future emission increases. An important outcome of this work is the scenario implementation approach, which uses technology-specific discount rates to encourage scenario-specific technology and fuel choices. End-use energy demands are modified to approximate societal changes. This implementation allows the model to respond to perturbations in manners consistent with each scenario.
ISSN:0013-936X
1520-5851
DOI:10.1021/acs.est.8b00575