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Optimal Energy Recycling, Allocation, and Trading for Electricity, Natural Gas, Heat, and Cold Energies in Factories With Ground Source Heat Pumps.

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Title: Optimal Energy Recycling, Allocation, and Trading for Electricity, Natural Gas, Heat, and Cold Energies in Factories With Ground Source Heat Pumps.
Authors: Lin, Chun-Cheng1,2 (AUTHOR) cclin321@nycu.edu.tw, Chen, Zhen-Yin Annie1 (AUTHOR), Chen, Jing1 (AUTHOR), Huang, Hsin-Cheng1 (AUTHOR), Sawle, Yashwant (AUTHOR) yashsawle@gmail.com
Source: International Journal of Energy Research. 4/3/2025, Vol. 2025, p1-23. 23p.
Subjects: Ground source heat pump systems, Clean energy, Energy consumption, Factory equipment, Search algorithms
Abstract: To enhance the utilization of corporate green energy, integrated energy systems (IESs) have been proposed, with ground source heat pumps (GSHPs) being widely utilized as a clean energy conversion device within these systems. However, there have been few studies from the perspective of factory‐based IES designs regarding energy usage, energy storage, and energy trading considering GSHPs under the Internet of Energy (IoE) framework, especially for recyclable energies from the production equipment in the factory. Consequently, this study firstly formulates a mixed‐integer programing model for the factory‐based IES with a GSHP under the IoE framework that employs the information from the IoE to make decisions for utilizing, recycling, storing, and trading electricity, natural gas, heat, and cold energies through multienergy trading platforms while optimizing the relevant costs and revenues. Since the simplified harmony search algorithm (SHS) simplifies the classical harmony search algorithm (HSA) to accelerate the method of finding new solutions, and the island model considers migration among multiple subpopulations to increase population diversity, this study takes their advantages to propose the island‐based SHS (iSHS) to address the concerned problem. The experimental findings indicate that the iSHS surpasses both SHS and HSA in performance. In comparison to the electricity‐based system alone, the proposed IES achieves 39% green energy utilization and a 15.34% reduction in electricity consumption for the baseline factory. For the high‐load factory, while electricity consumption remains high, the IES still integrates 9% green energy, demonstrating its potential for scalability and adaptability across different factory scales. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Energy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 184274565
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Optimal Energy Recycling, Allocation, and Trading for Electricity, Natural Gas, Heat, and Cold Energies in Factories With Ground Source Heat Pumps.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Chun-Cheng%22">Lin, Chun-Cheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> cclin321@nycu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhen-Yin+Annie%22">Chen, Zhen-Yin Annie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Jing%22">Chen, Jing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Hsin-Cheng%22">Huang, Hsin-Cheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sawle%2C+Yashwant%22">Sawle, Yashwant</searchLink> (AUTHOR)<i> yashsawle@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Energy+Research%22">International Journal of Energy Research</searchLink>. 4/3/2025, Vol. 2025, p1-23. 23p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Ground+source+heat+pump+systems%22">Ground source heat pump systems</searchLink><br /><searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Factory+equipment%22">Factory equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Search+algorithms%22">Search algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To enhance the utilization of corporate green energy, integrated energy systems (IESs) have been proposed, with ground source heat pumps (GSHPs) being widely utilized as a clean energy conversion device within these systems. However, there have been few studies from the perspective of factory‐based IES designs regarding energy usage, energy storage, and energy trading considering GSHPs under the Internet of Energy (IoE) framework, especially for recyclable energies from the production equipment in the factory. Consequently, this study firstly formulates a mixed‐integer programing model for the factory‐based IES with a GSHP under the IoE framework that employs the information from the IoE to make decisions for utilizing, recycling, storing, and trading electricity, natural gas, heat, and cold energies through multienergy trading platforms while optimizing the relevant costs and revenues. Since the simplified harmony search algorithm (SHS) simplifies the classical harmony search algorithm (HSA) to accelerate the method of finding new solutions, and the island model considers migration among multiple subpopulations to increase population diversity, this study takes their advantages to propose the island‐based SHS (iSHS) to address the concerned problem. The experimental findings indicate that the iSHS surpasses both SHS and HSA in performance. In comparison to the electricity‐based system alone, the proposed IES achieves 39% green energy utilization and a 15.34% reduction in electricity consumption for the baseline factory. For the high‐load factory, while electricity consumption remains high, the IES still integrates 9% green energy, demonstrating its potential for scalability and adaptability across different factory scales. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Energy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1155/er/9583663
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        Text: English
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        PageCount: 23
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      – SubjectFull: Ground source heat pump systems
        Type: general
      – SubjectFull: Clean energy
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      – SubjectFull: Energy consumption
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      – SubjectFull: Factory equipment
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      – SubjectFull: Search algorithms
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      – TitleFull: Optimal Energy Recycling, Allocation, and Trading for Electricity, Natural Gas, Heat, and Cold Energies in Factories With Ground Source Heat Pumps.
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              Text: 4/3/2025
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              Y: 2025
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