Exploiting data centres energy flexibility in smart cities: Business scenarios
| Autor: | Marcel Antal, Massimo Bertoncini, Ionut Anghel, Claudia Pop, Ioan Salomie, Tudor Cioara, Diego Arnone, Florin Pop |
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| Rok vydání: | 2019 |
| Předmět: |
Flexibility (engineering)
Information Systems and Management Computer science business.industry Distributed computing 05 social sciences 050301 education 02 engineering and technology Thermal energy storage 7. Clean energy Computer Science Applications Theoretical Computer Science Smart grid Artificial Intelligence Control and Systems Engineering Smart city Waste heat Thermal 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business 0503 education Software Thermal energy |
| Zdroj: | Information Sciences |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2018.07.010 |
| Popis: | In this paper, we have considered Data Centres (DCs) as computing facilities functioning at the crossroad of electrical, thermal and data networks and have defined optimisation techniques to exploit their energy flexibility. Our methods are leveraging on non-electrical cooling devices such as thermal storage and heat pumps for waste heat reuse and IT workload execution time shifting and spatial relocation in federated DCs. To trade energy flexibility we have defined an Energy Marketplace which allows DCs to act as active energy players integrated into the smart grid, contributing to smart city-level efficiency goals. Reinforcing this vision, we have proposed four innovative business scenarios that enable next generation smart Net-zero Energy DCs acting as energy prosumers at the interface with smart energy grids within smart city environments. Simulation experiments are conducted to determine the DCs potential electrical and thermal energy flexibility in meeting various network level goals and to assess the financial viability of the defined business scenarios. The results show that DCs have a significant amount of energy flexibility which may be shifted and traded to interested stakeholders thus allowing them to gain new revenue streams not foreseen before. |
| Databáze: | OpenAIRE |
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