The analysis of waste heat recovery in steel enterprises’ data centers based on the Co-ah cycle
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| Veröffentlicht in: | PLoS One vol. 20, no. 5 (May 2025), p. e0323455 |
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| 003 | UK-CbPIL | ||
| 022 | |a 1932-6203 | ||
| 024 | 7 | |a 10.1371/journal.pone.0323455 |2 doi | |
| 035 | |a 3213835033 | ||
| 045 | 2 | |b d20250501 |b d20250531 | |
| 084 | |a 174835 |2 nlm | ||
| 100 | 1 | |a Wen, Kai | |
| 245 | 1 | |a The analysis of waste heat recovery in steel enterprises’ data centers based on the Co-ah cycle | |
| 260 | |b Public Library of Science |c May 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a To improve the energy economic efficiency of Data Centers (DCs) in steel enterprises, a centralized heating scheme for waste heat recovery based on the Co-ah cycle is proposed. This scheme establishes a thermoelectric connection between the self-owned power plant of the steel enterprise and the DC, creating a waste heat recovery centralized heating system for a 15 MW DC. The energy efficiency indicators, environmental benefits, economic feasibility, and adaptability of the system are evaluated. The results show that the system can effectively recover waste heat from the DC, significantly reducing cooling electricity consumption during the heating season and decreasing original heating steam consumption by about 25%. Compared to DC using free cooling, the annual operating cost is reduced by 9.7%, with a dynamic payback period for equipment of 6–7 years. The system saves 3,671.5 tons of standard coal and reduces CO2 emissions by 1,615 tons annually compared to DC using isolated free cooling and traditional heating systems. The Improved Power Usage Effectiveness (PUE’) of the system is 1.195, and the Energy Reuse Effectiveness (ERE) is 0.769, outperforming the free cooling’s index of 1.341, although Exergy Reuse Effectiveness (ExRE) is slightly higher than that of free cooling. This system offers mutual benefits for self-owned power plant, DC, and heating companies, achieving a win-win operational state through suitable energy trading prices. The research conclusion provides valuable reference for the future investment and operation of DCs in steel enterprises. | |
| 651 | 4 | |a China | |
| 653 | |a Steam consumption | ||
| 653 | |a Waste recovery | ||
| 653 | |a Green buildings | ||
| 653 | |a Heat recovery | ||
| 653 | |a Payback periods | ||
| 653 | |a Power plants | ||
| 653 | |a Cooling | ||
| 653 | |a Heating | ||
| 653 | |a Energy efficiency | ||
| 653 | |a Steel production | ||
| 653 | |a Exergy | ||
| 653 | |a Steel industry | ||
| 653 | |a Heat recovery systems | ||
| 653 | |a Supply & demand | ||
| 653 | |a Performance evaluation | ||
| 653 | |a Energy consumption | ||
| 653 | |a Industrial plant emissions | ||
| 653 | |a Electric power generation | ||
| 653 | |a Adaptability | ||
| 653 | |a Natural gas | ||
| 653 | |a Electricity consumption | ||
| 653 | |a Data centers | ||
| 653 | |a Economics | ||
| 653 | |a Computer centers | ||
| 653 | |a Waste heat recovery | ||
| 653 | |a Gases | ||
| 653 | |a Operating costs | ||
| 653 | |a Electricity | ||
| 653 | |a Carbon dioxide | ||
| 653 | |a Cooling systems | ||
| 653 | |a Carbon dioxide emissions | ||
| 653 | |a Steel | ||
| 653 | |a Effectiveness | ||
| 653 | |a Heating systems | ||
| 653 | |a Waste heat | ||
| 653 | |a Cost control | ||
| 653 | |a Waste analysis | ||
| 653 | |a Environmental benefits | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Zhou, Chengjian | |
| 700 | 1 | |a Wang, Xiaopo | |
| 773 | 0 | |t PLoS One |g vol. 20, no. 5 (May 2025), p. e0323455 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3213835033/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3213835033/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3213835033/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |