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Hybrid renewable energy utility systems for industrial sites: A review

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  • Walmsley, Timothy Gordon
  • Philipp, Matthias
  • Picón-Núñez, Martín
  • Meschede, Henning
  • Taylor, Matthew Thomas
  • Schlosser, Florian
  • Atkins, Martin John

Abstract

The global energy transition to renewable energy is beginning to gain in pace and scale. This review focuses on how renewable energy from various sources can supply heating, cooling, and power as industrial utility systems. Hybrid renewable energy utility systems, or HYRES, are systems that provide heating, cooling, and power utility to industrial processes using a high proportion of renewable energy. Renewable energy sources may include fuels derived from bioenergy sources, geothermal, solar thermal, and renewable electricity from solar, wind, hydro, and geothermal. Using technology and integration lenses, this review establishes the HYRES framework, discusses critical renewable energy technologies and their integration, and sets-forth directions for future research. The study highlights the need for better control and reliability approaches (both reactive and proactive), clear use cases of artificial intelligence and virtual reality, and a focus on localised integration of renewable energy to overcome spatial and transport challenges.

Suggested Citation

  • Walmsley, Timothy Gordon & Philipp, Matthias & Picón-Núñez, Martín & Meschede, Henning & Taylor, Matthew Thomas & Schlosser, Florian & Atkins, Martin John, 2023. "Hybrid renewable energy utility systems for industrial sites: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:rensus:v:188:y:2023:i:c:s1364032123006597
    DOI: 10.1016/j.rser.2023.113802
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    1. Al-Quraan, A. & Al-Mhairat, B., 2024. "Sizing and energy management of grid-connected hybrid renewable energy systems based on techno-economic predictive technique," Renewable Energy, Elsevier, vol. 228(C).
    2. Moreno-Leiva, Simón & Haas, Jannik & Nowak, Wolfgang & Kracht, Willy & Eltrop, Ludger & Breyer, Christian, 2024. "Flexible copper: Exploring capacity-based energy demand flexibility in the industry," Energy, Elsevier, vol. 305(C).
    3. Khoshvaght-Aliabadi, M. & Ghodrati, P. & Rashidi, M.M. & Kang, Y.T., 2024. "Structural analysis and optimization of flattened tube gas cooler for transcritical CO2 heat pump systems," Energy, Elsevier, vol. 307(C).
    4. Gao, Yuan & Hu, Zehuan & Shi, Shanrui & Chen, Wei-An & Liu, Mingzhe, 2024. "Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan," Applied Energy, Elsevier, vol. 359(C).
    5. Knorr, Lukas & Schlosser, Florian & Horstmann, Nils & Divkovic, Denis & Meschede, Henning, 2024. "Flexible operation and integration of high-temperature heat pumps using large temperature glides," Applied Energy, Elsevier, vol. 368(C).
    6. Gao, Yuan & Hu, Zehuan & Chen, Wei-An & Liu, Mingzhe, 2024. "Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning," Energy, Elsevier, vol. 302(C).

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