Evidence map›Paper›PMID 30974807›Full record

ReviewInternational journal of environmental research and public health2019

Integration of Green Energy and Advanced Energy-Efficient Technologies for Municipal Wastewater Treatment Plants.

Ziyang Guo, Yongjun Sun, Shu-Yuan Pan, Pen-Chi Chiang

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Distillery Stillage: Characteristics, Treatment, and Valorization.Applied biochemistry and biotechnology · 2020
    Review
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

4 authors.

Ziyang GuoGraduate Institute of Environmental Engineering, National Taiwan University, Taipei City 10673, Taiwan. zyguo93@hotmail.com.
Yongjun SunCollege of Urban Construction, Nanjing Tech University, Nanjing 211800, China. sunyongjun@njtech.edu.cn.ORCID 0000-0002-5266-3645
Shu-Yuan PanDepartment of Bioenvironmental System Engineering, National Taiwan University, Taipei City 10617, Taiwan. sypan@ntu.edu.tw.ORCID 0000-0003-2082-4077
Pen-Chi ChiangGraduate Institute of Environmental Engineering, National Taiwan University, Taipei City 10673, Taiwan. pcchiang@ntu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater treatment can consume a large amount of energy to meet discharge standards. However, wastewater also contains resources which could be recovered for secondary uses under proper treatment. Hence, the goal of this paper is to review the available green energy and biomass energy that can be utilized in wastewater treatment plants. Comprehensive elucidation of energy-efficient technologies for wastewater treatment plants are revealed. For these energy-efficient technologies, this review provides an introduction and current application status of these technologies as well as key performance indicators for the integration of green energy and energy-efficient technologies. There are several assessment perspectives summarized in the evaluation of the integration of green energy and energy-efficient technologies in wastewater treatment plants. To overcome the challenges in wastewater treatment plants, the Internet of Things (IoT) and green chemistry technologies for the water and energy nexus are proposed. The findings of this review are highly beneficial for the development of green energy and energy-efficient wastewater treatment plants. Future research should investigate the integration of green infrastructure and ecologically advanced treatment technologies to explore the potential benefits and advantages.

Indexed as

Conservation of Energy ResourcesRenewable EnergyWaste Disposal, FluidWastewaterWastewateradvanced energy-efficient technologiesgreen energykey performance indicatorswastewater treatment plant

Identifiers

PMID30974807
PMCPMC6479948

What OpenQuestion holds

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LicenceCC BY
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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.