Initial Business Concept for the Neighborhood Data Center
Juvalainen, Jyri (2016)
Juvalainen, Jyri
Metropolia Ammattikorkeakoulu
2016
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201605178303
https://urn.fi/URN:NBN:fi:amk-201605178303
Tiivistelmä
Generally used data center models do not support full energy re-use technologies very well. This new neighborhood data center business concept comes from the idea where all already used data center energy can be re-used for local community needs without district heat technologies. If all the energy used to operate the data center could be kept inside the neighborhood community, that would make a significant ecological difference to existing models. Moreover, it would help to reduce the global phenomenon of the environmental burden caused by data centers.
These currently used general data center models have gigantic units located usually away from the large cities and other dense population areas. Having this massive infrastructure located in one easy serviceable location create cost savings, but it also creates challenges to reuse the data center’s energy efficiently for the needs of the society. In this Master’s Thesis, the currently used general model has turned around by scattering this very large size unit into multiple very small units and these small nano size data center units are spread around to densely populated areas.
This Master’s thesis is secondary research based on secondary data (Data 1) from existing knowledge on heating, water usage, energy costs and needs for a typical housing company in Finland. The second round data collection (Data 2) is for the data center technologies already in use, and the last round of data collection (Data 3) is performed to validate and support these results.
The outcome is the initial business concept for the neighborhood data-center business idea. This new concept brings for Giga-scale (very large scale) data center operators the possibility to have a new data center capacity with a minimal ecological footprint.
These currently used general data center models have gigantic units located usually away from the large cities and other dense population areas. Having this massive infrastructure located in one easy serviceable location create cost savings, but it also creates challenges to reuse the data center’s energy efficiently for the needs of the society. In this Master’s Thesis, the currently used general model has turned around by scattering this very large size unit into multiple very small units and these small nano size data center units are spread around to densely populated areas.
This Master’s thesis is secondary research based on secondary data (Data 1) from existing knowledge on heating, water usage, energy costs and needs for a typical housing company in Finland. The second round data collection (Data 2) is for the data center technologies already in use, and the last round of data collection (Data 3) is performed to validate and support these results.
The outcome is the initial business concept for the neighborhood data-center business idea. This new concept brings for Giga-scale (very large scale) data center operators the possibility to have a new data center capacity with a minimal ecological footprint.