Optimizing the Controlling Parameters of a Biomass Boiler Based on Big Data Article Swipe
Jiaxin He
,
Junjiao Zhang
,
L. Wang
,
Xiaoying Hu
,
Junjie Xue
,
Ying Zhao
,
Xiaoqiang Wang
,
Changqing Dong
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16237783
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16237783
This paper presents a comprehensive method for optimizing the controlling parameters of a biomass boiler. The historical data are preprocessed and classified into different conditions with the k-means clustering algorithm. The first-order derivative (FOD) method is used to compensate for the lag of controlling parameters, the backpropagation (BP) neural network is used to map the controlling parameters with the boiler efficiency and unit load, and the ant colony optimization (ACO) algorithm is used to search the opening of air dampers. The results of the FOD-BP-ACO model show an improvement in the boiler efficiency compared to the predicted values of FOD-BP and the data compared to the historical true values were observed. The results suggest that this FOD-BP-ACO method can also be used to search and optimize other controlling parameters.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en16237783
- https://www.mdpi.com/1996-1073/16/23/7783/pdf?version=1701048254
- OA Status
- gold
- Cited By
- 2
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389056724
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4389056724Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en16237783Digital Object Identifier
- Title
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Optimizing the Controlling Parameters of a Biomass Boiler Based on Big DataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-11-27Full publication date if available
- Authors
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Jiaxin He, Junjiao Zhang, L. Wang, Xiaoying Hu, Junjie Xue, Ying Zhao, Xiaoqiang Wang, Changqing DongList of authors in order
- Landing page
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https://doi.org/10.3390/en16237783Publisher landing page
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https://www.mdpi.com/1996-1073/16/23/7783/pdf?version=1701048254Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1996-1073/16/23/7783/pdf?version=1701048254Direct OA link when available
- Concepts
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Backpropagation, Artificial neural network, Boiler (water heating), Ant colony optimization algorithms, Cluster analysis, Engineering, Data mining, Computer science, Artificial intelligence, Waste managementTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S198098182 |
| primary_location.source.issn | 1996-1073 |
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| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
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| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
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| primary_location.pdf_url | https://www.mdpi.com/1996-1073/16/23/7783/pdf?version=1701048254 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Energies |
| primary_location.landing_page_url | https://doi.org/10.3390/en16237783 |
| publication_date | 2023-11-27 |
| publication_year | 2023 |
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| corresponding_author_ids | https://openalex.org/A5115588914 |
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| corresponding_institution_ids | https://openalex.org/I153473198 |
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