| 1. |
- Jia, He, et al.
(författare)
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Optimization and economic analysis of distributed photovoltaic-energy storage system under dynamic electricity price
- 2021
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Ingår i: Taiyangneng Xuebao/Acta Energiae Solaris Sinica. - 0254-0096. ; 42:5, s. 187-193
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Tidskriftsartikel (refereegranskat)abstract
- This paper investigated the influence of different dynamic electricity pricing schemes, energy storage capacity and unit capacity cost on the economics of PV-storage systems. The energy storage control stratety of improving the photovoltaic micro-grid self-consumption was adopted in this study. Taking an office building in Changsha as an example, the dynamic planning method was used to solve the system's best operating strategy and calculated the system' life cycle economy and PV self-consumption rate. The results showed that the system profitable area was increased by 87% for every 41.5% increase of dynamic electricity price. Moreover, the impact of energy storage capacity on system economics is greater than unit cost. The increase of dynamic electricity price is beneficial to increase the self-consumption of photovoltaic power generation, and the storage capacity and unit cost dominate the self-consumption of photovoltaic energy in different intervals.
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| 2. |
- Jia, Xinyu, et al.
(författare)
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Knee-point-conscious battery aging trajectory prediction of lithium-ion based on physics-guided machine learning
- 2024
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Ingår i: IEEE Transactions on Transportation Electrification. - 2332-7782. ; 10:1, s. 1056-1069
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Tidskriftsartikel (refereegranskat)abstract
- Early prediction of aging trajectories of lithium-ion (Li-ion) batteries is critical for cycle life testing, quality control, and battery health management. Although data-driven machine learning (ML) approaches are well suited for this task, unfortunately, relying solely on data is exceedingly time-consuming and resource-intensive, even in accelerated aging with complex aging mechanisms. This challenge is rooted in the highly complex and time-varying degradation mechanisms of Li-ion battery cells. We propose a novel method based on physics-guided machine learning (PGML) to overcome this issue. First, electrode-level physical information is incorporated into the model training process to predict the aging trajectory’s knee point (KP). The relationship between the identified KP and the accelerated aging behavior is then explored, and an aging trajectory prediction algorithm is developed. The prior knowledge of aging mechanisms enables a transfer of valuable physical insights to yield accurate KP predictions with small data and weak correlation feature relationship. Based on a Li[NiCoMn]O 2 cell dataset, we demonstrate that only 14 cells are needed to train a PGML model for achieving a lifetime prediction error of 2.02% using the data of the first 50 cycles. In contrast, at least 100 cells are needed to reach this level of accuracy without the physical insights.
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| 3. |
- Liu, Shuyu, et al.
(författare)
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Demographic History and Natural Selection Shape Patterns of Deleterious Mutation Load and Barriers to Introgression across Populus Genome
- 2022
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Ingår i: Molecular biology and evolution. - : Oxford University Press. - 0737-4038 .- 1537-1719. ; 39:2
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Tidskriftsartikel (refereegranskat)abstract
- Hybridization and resulting introgression are important processes shaping the tree of life and appear to be far more common than previously thought. However, how the genome evolution was shaped by various genetic and evolutionary forces after hybridization remains unresolved. Here we used whole-genome resequencing data of 227 individuals from multiple widespread Populus species to characterize their contemporary patterns of hybridization and to quantify genomic signatures of past introgression. We observe a high frequency of contemporary hybridization and confirm that multiple previously ambiguous species are in fact F1 hybrids. Seven species were identified, which experienced different demographic histories that resulted in strikingly varied efficacy of selection and burdens of deleterious mutations. Frequent past introgression has been found to be a pervasive feature throughout the speciation of these Populus species. The retained introgressed regions, more generally, tend to contain reduced genetic load and to be located in regions of high recombination. We also find that in pairs of species with substantial differences in effective population size, introgressed regions are inferred to have undergone selective sweeps at greater than expected frequencies in the species with lower effective population size, suggesting that introgression likely have higher potential to provide beneficial variation for species with small populations. Our results, therefore, illustrate that demography and recombination have interplayed with both positive and negative selection in determining the genomic evolution after hybridization.
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| 4. |
- Shi, Tingting, et al.
(författare)
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The super-pangenome of Populus unveils genomic facets for its adaptation and diversification in widespread forest trees
- 2024
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Ingår i: Molecular Plant. - : Elsevier. - 1674-2052 .- 1752-9867. ; 17:5, s. 725-746
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Tidskriftsartikel (refereegranskat)abstract
- Understanding the underlying mechanisms and links between genome evolution and adaptive innovations stands as a key goal in evolutionary studies. Poplars, among the world's most widely distributed and cultivated trees, exhibit extensive phenotypic diversity and environmental adaptability. In this study, we present a genus-level super-pangenome comprising 19 Populus genomes, revealing the likely pivotal role of private genes in facilitating local environmental and climate adaptation. Through the integration of pangenomes with transcriptomes, methylomes, and chromatin accessibility mapping, we unveil that the evolutionary trajectories of pangenes and duplicated genes are closely linked to local genomic landscapes of regulatory and epigenetic architectures, notably CG methylation in gene-body regions. Further comparative genomic analyses have enabled the identification of 142 202 structural variants across species that intersect with a significant number of genes and contribute substantially to both phenotypic and adaptive divergence. We have experimentally validated a ∼180-bp presence/absence variant affecting the expression of the CUC2 gene, crucial for leaf serration formation. Finally, we developed a user-friendly web-based tool encompassing the multi-omics resources associated with the Populus super-pangenome (http://www.populus-superpangenome.com). Together, the present pioneering super-pangenome resource in forest trees not only aids in the advancement of breeding efforts of this globally important tree genus but also offers valuable insights into potential avenues for comprehending tree biology.
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