ArticleiScience2026
An integrated energy systems planning model based on exergy and exergoeconomic analysis.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amid the global energy structure's profound transformation and full implementation of the dual carbon strategy, optimal planning of integrated energy systems (IESs) is a cutting-edge energy topic. Most relevant studies rely on the first law of thermodynamics, focusing on energy conservation, while integration of energy quality, thermodynamics, and economics remains to be improved. This study takes the planning phase of IESs as the entry point and proposes an analytical method with exergy theory as the core and exergoeconomics as the tool. It proposes a closed-loop full-process planning framework of "theoretical modeling-scheme construction-economic analysis-scheme improvement" to develop a mature, replicable IES planning model, providing theoretical and technical support for the energy system's low-carbon transformation. Standard case simulations validate the efficacy of the closed-loop planning framework in enhancing system exergy efficiency and optimizing economic costs, providing engineering decision support and insights for multidisciplinary paradigm advancement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.