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Cited by 2

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Integrated planning of wind–solar–storage–grid systems for private-wire supplied data centers

Guo, Feng, Soares, João, Ma, Ling, Song, Jie, Tian, Zhiyong, Chen, Xinyu, Vale, Zita·2026·Applied Energy
DOI 10.1016/j.apenergy.2026.127841
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Research works printed but not linked: 40

  1. Goforth, 2024, Exploring equality and sustainability trade-offs of energy transition outcomes in the United States in 2050, Appl Energy, 367, 10.1016/j.apenergy.2024.123376 · DOI
  2. Guo, 2022, Research on high quality development strategy of green building: a full life cycle perspective on recycled building materials, Energ Buildings, 273, 10.1016/j.enbuild.2022.112406 · doi:10.1016/j.enbuild.2022.112406
  3. Child, 2019, Flexible electricity generation, grid exchange and storage for the transition to a 100% renewable energy system in europe, Renew Energy, 139, 80, 10.1016/j.renene.2019.02.077 · DOI · Paper page
  4. Guo, 2025, Wind and solar need storage diversity, not just capacity, The Innovation, 101046
  5. Oró, 2015, Energy efficiency and renewable energy integration in data centres. Strategies and modelling review, Renew Sustain Energy Rev, 42, 429, 10.1016/j.rser.2014.10.035 · DOI · Paper page
  6. Zhang, 2014, Free cooling of data centers: a review, Renew Sustain Energy Rev, 35, 171, 10.1016/j.rser.2014.04.017 · DOI · Paper page
  7. Chen, 2024, Climate change impacts on global photovoltaic variability, Appl Energy, 374, 10.1016/j.apenergy.2024.124087 · DOI
  8. Bird, 2016, Wind and solar energy curtailment: a review of international experience, Renew Sustain Energy Rev, 65, 577, 10.1016/j.rser.2016.06.082 · DOI · Paper page
  9. Guo, 2025, A systematic review of multi-scale digital modelling in sustainable urban design and management, Sustain Cities Soc, 119, 10.1016/j.scs.2024.106103 · doi:10.1016/j.scs.2024.106103
  10. Huo, 2025, Computation network and carbon neutrality: a quasi-natural experiment by externality of institutional support to energy security, Econ Anal Policy, 86, 1427, 10.1016/j.eap.2025.05.002 · DOI
  11. Radovanovic, 2022, Power modeling for effective datacenter planning and compute management, IEEE Trans Smart Grid, 13, 1611, 10.1109/TSG.2021.3125275 · DOI
  12. Alaperä, 2018, Data centers as a source of dynamic flexibility in smart girds, Appl Energy, 229, 69, 10.1016/j.apenergy.2018.07.056 · doi:10.1016/j.apenergy.2018.07.056
  13. Zhou, 2024, Advancements in data center cooling systems: from refrigeration to high performance cooling, Energ Buildings, 320, 10.1016/j.enbuild.2024.114634 · doi:10.1016/j.enbuild.2024.114634
  14. Liu, 2014, Pricing data center demand response, SIGMETRICS Perform Eval Rev, 42, 111, 10.1145/2637364.2592004 · DOI
  15. Riepin, 2025, Spatio-temporal load shifting for truly clean computing, Adv Appl Energy, 17, 10.1016/j.adapen.2024.100202 · DOI
  16. Oh, 2025, Techno-economic performance of reservoir thermal energy storage for data center cooling system, Appl Energy, 391, 10.1016/j.apenergy.2025.125858 · DOI
  17. Wang, 2025, Cooling demand response-based collaborative optimization on the supply and demand side of district cooling system under extreme heat, Sustain Cities Soc, 130, 10.1016/j.scs.2025.106550 · DOI
  18. Brander, 2018, Creative accounting: a critical perspective on the market-based method for reporting purchased electricity (scope 2) emissions, Energy Policy, 112, 29, 10.1016/j.enpol.2017.09.051 · DOI
  19. Simões, F., Henriques, C., Figueiredo, N.C., Silva, P.P. da, 2025. Efficient power purchase agreement structures for meeting corporate electricity needs with solar energy. Energy 322, 135651. doi:https://doi.org/10.1016/j.energy.2025.135651. · doi:10.1016/j.energy.2025.135651
  20. Bjørn, 2022, Renewable energy certificates threaten the integrity of corporate science-based targets, Nat Clim Change, 12, 539, 10.1038/s41558-022-01379-5 · DOI · Paper page
  21. Bjørn, 2025, Untangling deliverability, additionality and double counting related to renewable energy certificates for improved scope 2 emissions accounting, Environ Res Lett, 20, 10.1088/1748-9326/adc941 · doi:10.1088/1748-9326/adc941
  22. Langer, 2025, Ensuring low-emission electricity purchasing requires a broader systems perspective, iScience, 28, 10.1016/j.isci.2025.112349 · DOI
  23. Riepin, 2024, On the means, costs, and system-level impacts of 24/7 carbon-free energy procurement, Energ Strat Rev, 54, 10.1016/j.esr.2024.101488 · DOI
  24. He, 2025, Two-stage robust planning of data center microgrid considering batch load flexibility and multi-energy complementarity, Energy Convers Manage: X, 28
  25. Rezaeimozafar, 2022, A review of behind-the-meter energy storage systems in smart grids, Renew Sustain Energy Rev, 164, 10.1016/j.rser.2022.112573 · DOI
  26. Dranka, 2021, A review of co-optimization approaches for operational and planning problems in the energy sector, Appl Energy, 304, 10.1016/j.apenergy.2021.117703 · DOI
  27. Theo, 2016, An MILP model for cost-optimal planning of an on-grid hybrid power system for an eco-industrial park, Energy, 116, 1423, 10.1016/j.energy.2016.05.043 · DOI
  28. Zelaschi, 2025, An effective MILP model for the optimal design of microgrids with high-reliability requirements, Appl Energy, 383, 10.1016/j.apenergy.2025.125359 · doi:10.1016/j.apenergy.2025.125359
  29. Liu, 2025, Chapter 6: The outlook for wind and solar power, 177
  30. Duan, 2024, Spatiotemporal change in climate variables and resources of wind, solar radiation and precipitation in Qinghai Province from 1961 to 2021, Gaoyuan Qixiang, 43, 1614
  31. He, 2014, Where, when and how much wind is available? A provincial-scale wind resource assessment for China, Energy Policy, 74, 116, 10.1016/j.enpol.2014.07.003 · DOI
  32. Zhu, 2024, Formation mechanism and development potential of wind energy resources on the tibetan plateau, Renew Energy, 227, 10.1016/j.renene.2024.120527 · doi:10.1016/j.renene.2024.120527
  33. Ham, 2015, Energy saving potential of various air-side economizers in a modular data center, Appl Energy, 138, 258, 10.1016/j.apenergy.2014.10.066 · DOI
  34. Giardini, 1999, The GSHAP global seismic hazard map, Ann Geophys, 42, 1225
  35. Ilager, 2023, A data-driven analysis of a cloud data Center: Statistical characterization of workload, energy and temperature, in: Proceedings of the IEEE/ACM 16th international conference on utility and cloud computing, 1
  36. Wang, 2023, Accelerating the energy transition towards photovoltaic and wind in China, Nature, 619, 761, 10.1038/s41586-023-06180-8 · DOI · Paper page
  37. Shao, 2022, A review of energy efficiency evaluation metrics for data centers, Energ Buildings, 271, 10.1016/j.enbuild.2022.112308 · DOI
  38. Zhang, 2024, Energy performance analysis of multi-chiller cooling systems for data centers concerning progressive loading throughout the lifecycle under typical climates, Build Simul, 17, 1693, 10.1007/s12273-024-1167-9 · DOI
  39. Alduchov, 1996, Improved magnus form approximation of saturation vapor pressure, J Appl Meteorol, 35, 601, 10.1175/1520-0450(1996)035<0601:IMFAOS>2.0.CO;2 · DOI · Paper page
  40. Stull, 2011, Wet-bulb temperature from relative humidity and air temperature, J Appl Meteorol Climatol, 50, 2267, 10.1175/JAMC-D-11-0143.1 · DOI · Paper page

Metadata

Authors
Guo, F., Soares, J., Ma, L., Song, J., Tian, Z., Chen, X., & Vale, Z.
Venue
Applied Energy
Publisher
Elsevier BV
Published
2026-07
Volume
414
Pages
127841
ISSN
0306-2619
DOI
10.1016/j.apenergy.2026.127841
Cited by
2
References
1
Language
en
Licence
Funders
  • China Scholarship Council (202506160024)
  • National Natural Science Foundation of China (72595830/72595835, 72325006)
  • Fundação para a Ciência e a Tecnologia (UID/00760/2025)

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CoChat. (2026). Citation check: Integrated planning of wind–solar–storage–grid systems for private-wire supplied data centers. https://app.cochat.ai/papers/10.1016/j.apenergy.2026.127841
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Guo, F., Soares, J., Ma, L., Song, J., Tian, Z., Chen, X., & Vale, Z. (2026). Integrated planning of wind–solar–storage–grid systems for private-wire supplied data centers. Applied Energy. https://doi.org/10.1016/j.apenergy.2026.127841

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.