Evidence map›Paper›PMID 35942095›Full record

ReviewiScience2022

Understanding the complexity of existing fossil fuel power plant decarbonization.

Chuan Zhang, Haibo Zhai, Liwei Cao, Xiang Li, Fangwei Cheng, Liqun Peng, Kangkang Tong, Jing Meng, Lei Yang, Xiaonan Wang

Abstract readReview
In one paragraph

Review in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Chuan ZhangInstitute of Energy, Peking University, Beijing 100871, China.
Haibo ZhaiDepartment of Civil & Architectural Engineering, University of Wyoming, Laramie, WY 82071, USA.
Liwei CaoDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK.
Xiang LiInstitute of Energy, Peking University, Beijing 100871, China.
Fangwei ChengAndlinger Center for Energy and the Environment, Princeton University, Princeton, NJ 08544, USA.
Liqun PengPrinceton School of Public and International Affairs, Princeton University, Princeton, NJ 08544, USA.
Kangkang TongChina-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, 201308 China.
Jing MengThe Bartlett School of Sustainable Construction, University College London, London, WC1E 7HB, UK.
Lei YangInstitute of Energy, Peking University, Beijing 100871, China.
Xiaonan WangDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing national decarbonization commitments require rapid and deep reductions of carbon dioxide emissions from existing fossil-fuel power plants. Although retrofitting existing plants with carbon capture and storage or biomass has been discussed extensively, yet such options have failed to provide evident emission reductions at a global scale so far. Assessments of decarbonization technologies tend to focus on one specific option but omit its interactions with competing technologies and related sectors (e.g., water, food, and land use). Energy system models could mimic such inter-technological and inter-sectoral competition but often aggregate plant-level parameters without validation, as well as fleet-level inputs with large variability and uncertainty. To enhance the accuracy and reliability of top-down optimization models, bottom-up plant-level experience accumulation is of vital importance. Identifying sweet spots for plant-level pilot projects, overcoming the technical, financial, and social obstacles of early large-scale demonstration projects, incorporating equity into the transition, propagating the plant-level potential to generate fleet-level impacts represent some key complexity of existing fossil-fuel power plant decarbonization challenges that imposes the need for a serious re-evaluation of existing fossil fuel power plant abatement in energy transition.

Indexed as

Energy flexibilityEnergy managementEnergy ModellingEnergy policyEnergy resourcesEnergy sustainability

Identifiers

PMID35942095
PMCPMC9356183

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.