Evidence map›Paper›PMID 29928794›Full record

ArticleEnvironmental science & technology2018

Evolution of the United States Energy System and Related Emissions under Varying Social and Technological Development Paradigms: Plausible Scenarios for Use in Robust Decision Making.

Kristen E Brown, Troy A Hottle, Rubenka Bandyopadhyay, Samaneh Babaee, Rebecca S Dodder, P Ozge Kaplan, Carol S Lenox, Daniel H Loughlin

Abstract read
In one paragraph

Article in Environmental science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Bridging Existing Energy and Chemical Transport Models to Enhance Air Quality Policy Assessment.Environmental modelling & software : with environment data news · 2025
    Article
  2. Economy-wide evaluation of CONature communications · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Energy and emissions implications of automated vehicles in the U.S. energy system.Transportation research. Part D, Transport and environment · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kristen E BrownU.S. Environmental Protection Agency, Office of Research and Development , 109 TW Alexander Drive , Research Triangle Park , North Carolina 27711 , United States.ORCID 0000-0002-0201-0558
Troy A HottleEastern Research Group, Inc. , 110 Hartwell Avenue , Lexington , Massachusetts 02421 , United States.ORCID 0000-0001-8459-1765
Rubenka BandyopadhyayNorth Carolina Advanced Energy Corporation , 909 Capability Drive, Suite 2100 , Raleigh , North Carolina 27606 , United States.ORCID 0000-0002-4454-1912
Samaneh BabaeeOak Ridge Institute for Science and Education, U.S. Environmental Protection Agency , 109 TW Alexander Drive , Research Triangle Park , North Carolina 27711 , United States.ORCID 0000-0001-6917-4541
Rebecca S DodderU.S. Environmental Protection Agency, Office of Research and Development , 109 TW Alexander Drive , Research Triangle Park , North Carolina 27711 , United States.ORCID 0000-0002-5252-3466
P Ozge KaplanU.S. Environmental Protection Agency, Office of Research and Development , 109 TW Alexander Drive , Research Triangle Park , North Carolina 27711 , United States.ORCID 0000-0002-5597-8247
Carol S LenoxU.S. Environmental Protection Agency, Office of Research and Development , 109 TW Alexander Drive , Research Triangle Park , North Carolina 27711 , United States.ORCID 0000-0003-2164-3024
Daniel H LoughlinU.S. Environmental Protection Agency, Office of Research and Development , 109 TW Alexander Drive , Research Triangle Park , North Carolina 27711 , United States.ORCID 0000-0002-5102-3507

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

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 that 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. Environmental Protection Agency MARKet ALlocation (MARKAL) model. Results suggest that both shifting attitudes and technology transformation may lead to emission reductions relative to the 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.

Indexed as

Air PollutantsAir PollutionUncertaintyUnited StatesUnited States Environmental Protection AgencyAir Pollutants

Identifiers

PMID29928794
PMCPMC7297051

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.