There has been a significant increase in the energy demand for cooling applications. Presently, cooling energy is required approximately three times more than in the 1990s, which leads to a substantial increase in energy consumption globally. District Cooling Systems (DCS) are one of the most promising technologies which provide positive impacts on both technical and commercial communities in a green and sustainable manner.
DCS are a central source of thermal energy distribution (in the form of cold energy) for air conditioning applications in commercial buildings, businesses, and institutional buildings. DCS gain special attention across the world and offer a unique value proposition to different stakeholders in both academia and industry, such as innovative technology integration, and economic and environmental benefits. However, the development of DCS requires a hefty initial investment. Therefore, it is imperative to have a technically sound and commercially viable DCS solution.
The goal of this Research Topic is to gather research focused on DCS technology and advance knowledge surrounding the problems currently being faced in the field, whilst providing a deeper understanding of how researchers can take DCS technology to the next level.
This collection warmly welcomes research contributions related to DCS, with topics of particular interest including, but not being limited to, the following:
• Advanced artificial intelligence based energy optimization for the operations of DCS
• Innovative and hybrid DCS coupling with other green technologies
• Improved thermal energy storage technologies for DCS
• District Energy Systems comprising DCS and other energy related systems for seeking energy saving, cost saving, and carbon saving.
All manuscript types are welcome in this Research Topic.
Keywords:
AI, energy optimization, District Cooling System, District Energy System, Thermal Energy Storage, Artificial Intelligence
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
There has been a significant increase in the energy demand for cooling applications. Presently, cooling energy is required approximately three times more than in the 1990s, which leads to a substantial increase in energy consumption globally. District Cooling Systems (DCS) are one of the most promising technologies which provide positive impacts on both technical and commercial communities in a green and sustainable manner.
DCS are a central source of thermal energy distribution (in the form of cold energy) for air conditioning applications in commercial buildings, businesses, and institutional buildings. DCS gain special attention across the world and offer a unique value proposition to different stakeholders in both academia and industry, such as innovative technology integration, and economic and environmental benefits. However, the development of DCS requires a hefty initial investment. Therefore, it is imperative to have a technically sound and commercially viable DCS solution.
The goal of this Research Topic is to gather research focused on DCS technology and advance knowledge surrounding the problems currently being faced in the field, whilst providing a deeper understanding of how researchers can take DCS technology to the next level.
This collection warmly welcomes research contributions related to DCS, with topics of particular interest including, but not being limited to, the following:
• Advanced artificial intelligence based energy optimization for the operations of DCS
• Innovative and hybrid DCS coupling with other green technologies
• Improved thermal energy storage technologies for DCS
• District Energy Systems comprising DCS and other energy related systems for seeking energy saving, cost saving, and carbon saving.
All manuscript types are welcome in this Research Topic.
Keywords:
AI, energy optimization, District Cooling System, District Energy System, Thermal Energy Storage, Artificial Intelligence
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.