Evidence map›Paper›PMID 40596022›Full record

ArticleScientific reports2025

A economic optimal dispatch model for combined heat and power microgrids supporting china's carbon neutrality.

Yu Yin, Pengchen Jin

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Yu YinSchool of Economics and Management, North University of China, Taiyuan, 030051, Shanxi, People's Republic of China. yintaeyeon95@gmail.com.
Pengchen JinPeople's Armed Police Force Shanxi Provincial Corps Hospital, Taiyuan, 030000, Shanxi, People's Republic of China.

Funding

Philosophy and Social Science Project of Higher Education Institutions funded by the Education Department of Shanxi Province of China Grant No.2023W084
6 · The paper itself

Abstract

Addressing energy abandonment and low utilization efficiency is crucial for sustainable renewable energy development, particularly as microgrid systems gain prominence in China's low-carbon transition. Existing combined heat and power microgrid system (CHPMS) scheduling models predominantly focus on operational costs while neglecting carbon trading dynamics and flexible load synergies, limiting their effectiveness under carbon neutrality goals. This study proposes a novel low-carbon economic dispatch model that uniquely integrates China's carbon trading mechanism with multi-form flexible loads (shiftable/transferable/cutable) in a unified optimization framework. Leveraging scenario-based optimization and Monte Carlo simulations, the model coordinates power-heat interactions while addressing renewable uncertainties. Case studies demonstrate an 84.7% carbon reduction (1.70→0.26 t) and 9.8% cost savings (¥4,039→¥3,632) versus conventional dispatch, with flexible loads enabling 19.4% peak shaving. These results validate that carbon trading-flexible load synergy fundamentally improves CHPMS sustainability, achieving superior economic-environmental balance compared to isolated optimization approaches. This paper provides critical insights for policymakers and microgrid operators to accelerate China's energy transition through collaborative carbon-market-responsive dispatching strategies.

Indexed as

Carbon tradingCombined heat and power microgrid system (CHPMS)Flexible loadLow-carbon economic dispatch

Identifiers

PMID40596022
PMCPMC12216684

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.