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Data center heated greenhouses, a matter for enhanced food self-sufficiency in sub-arctic regions
Luleå University of Technology, Sweden.
RISE Research Institutes of Sweden, Digitala system, Datavetenskap.
Luleå University of Technology, Sweden.
RISE Research Institutes of Sweden, Digitala system, Datavetenskap.ORCID-id: 0000-0001-7381-9154
2021 (engelsk)Inngår i: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 215, artikkel-id 119169Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper examines the possibility of increasing Northern Sweden's degree of self-sufficiency in food supply, at the 65th latitude, by using a data center as a heating source for greenhouse production. A dynamic building energy simulation software was used to compute both the hourly exhaust air output from a 1 MW data center for one year and the corresponding heating demand for two different greenhouse sizes, 2000 m2 and 10 000 m2, and two different production scenarios. Partial year production, 1 Mars – 15 October, without grow lights and full-year production with grow lights. The study showed that 5.5–30.5% of the electrical input to a 1 MW data center could be recovered. The 2000 m2 greenhouse could operate almost entirely, 89.7–97.9%, on excess heat while only 50.0–61.5% of the 10 000 m2 greenhouse heating demand could be met for full- and partial-year production, respectively. Furthermore, it is concluded that the 10 000 m2 greenhouse with full year production was the most prominent case and would cost-effectively yield 7.6% of northern Sweden's vegetable self-sufficiency.

sted, utgiver, år, opplag, sider
Elsevier Ltd , 2021. Vol. 215, artikkel-id 119169
Emneord [en]
Data center, Excess heat, Greenhouse production, Heat recovery, Waste heat, Computer software, Food supply, Greenhouses, Building energy simulations, Data centers, Electrical inputs, Greenhouse heating, Heating demand, Heating source, Northern sweden, Thermal processing (foods), arctic environment, food consumption, greenhouse gas, self sufficiency, simulation, software, vegetable, Sweden
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Identifikatorer
URN: urn:nbn:se:ri:diva-50961DOI: 10.1016/j.energy.2020.119169Scopus ID: 2-s2.0-85095423203OAI: oai:DiVA.org:ri-50961DiVA, id: diva2:1510838
Merknad

Funding details: Interreg, NYPS 20201839; Funding details: Energimyndigheten, 43090–2; Funding text 1: This study was supported by the Swedish Energy Agency under grant 43090–2 , Cloudberry Datacenters and by Interreg Nord, under grant NYPS 20201839 , Arctiq-DC.

Tilgjengelig fra: 2020-12-17 Laget: 2020-12-17 Sist oppdatert: 2023-05-25bibliografisk kontrollert

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