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Flexibility assessment of small-scale data centers in multi-energy districts
Small-scale data centers will considerably grow due to an increase in edge computing and real-time data through IOT sensors. They can be operated flexibly to match intermittent renewable energy generation and building energy demand. As such this provides interesting opportunities for the operation of multi-energy systems at the building and district level.
Keywords: small-scale data centers, design, flexibility, energy system integration
This master project covers the topic of small-scale edge data centers (below 250 kW) in the context of multi-energy systems. It aims to evaluate different design concepts for the efficient implementation of small-scale data centers in buildings using the Ehub tool.
This master project covers the topic of small-scale edge data centers (below 250 kW) in the context of multi-energy systems. It aims to evaluate different design concepts for the efficient implementation of small-scale data centers in buildings using the Ehub tool.
1. Literature review on the current state and trends of edge data centers and their energy system inte-gration in buildings/districts
2. Get acquainted with the Ehub tool and current implementation on modelling the data centers as well as further develop an approach to model edge data centers considering multi-energy integration as well as flexibility provisions.
3. Apply the developed approach to case studies considering
a. Different climate conditions
b. Different data center sizing options
c. Different building types/combinations
d. Different renewable-based decentralized energy supply concepts
e. The flexibility of computational workloads
4. Identify promising design concepts based on economic and sustainability performance indicators as well as flexibility provisioning
5. Validation of the simulation results with the measurement data from ECO-Qube data centers at NEST building (real-time measurement data is available).
1. Literature review on the current state and trends of edge data centers and their energy system inte-gration in buildings/districts 2. Get acquainted with the Ehub tool and current implementation on modelling the data centers as well as further develop an approach to model edge data centers considering multi-energy integration as well as flexibility provisions. 3. Apply the developed approach to case studies considering a. Different climate conditions b. Different data center sizing options c. Different building types/combinations d. Different renewable-based decentralized energy supply concepts e. The flexibility of computational workloads 4. Identify promising design concepts based on economic and sustainability performance indicators as well as flexibility provisioning 5. Validation of the simulation results with the measurement data from ECO-Qube data centers at NEST building (real-time measurement data is available).
master thesis.pdf
