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Article: A kW-scale, 24-hour continuously operational, radiative sky cooling system: Experimental demonstration and predictive modeling

TitleA kW-scale, 24-hour continuously operational, radiative sky cooling system: Experimental demonstration and predictive modeling
Authors
KeywordsAir conditioners
Building energy saving
Radiative cooling
Sky cooling
Sub-ambient water cooling
Issue Date2019
Citation
Energy Conversion and Management, 2019, v. 186, p. 586-596 How to Cite?
AbstractWith the advancement in sub-ambient cooling of water during daytime under the sun with scalable-manufactured radiative cooling metamaterials, the challenge for applications lies in design and building of large-scale radiative cooling systems. Here, we present a kW-scale, 24-hour continuously operational, radiative sky cooling system, with both experimental study and detailed modeling. We first quantitatively show how water flow rate directly affects the system cooling power and inversely affects the water temperature drop. A day-and-night stagnant (flow rate = 0 L/(min·m2)) water cooling test of the system shows a consistent sub-ambient water temperature drop of 5–7 °C. A daytime cooling test of the system at a low flow rate of 0.227 L/(min·m2) yields a maximum sub-ambient temperature drop of 4.0 °C with an average net cooling power of around 80 W/m2. Further modelling for a typical metrological year (in Phoenix, Arizona) shows that the system could generate as much as 350 kWh cold (or 26 kWh/m2) with a sub-ambient temperature drop of 4–5 °C at a low flow rate of 0.1 L/(min·m2) during a typical summer month. The cold generated could be used to assist AC systems in regions or seasons with high ambient temperatures.
DescriptionAccepted manuscript is available on the publisher website.
Persistent Identifierhttp://hdl.handle.net/10722/310394
ISSN
2023 Impact Factor: 9.9
2023 SCImago Journal Rankings: 2.553
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAili, Ablimit-
dc.contributor.authorZhao, Dongliang-
dc.contributor.authorLu, Jiatao-
dc.contributor.authorZhai, Yao-
dc.contributor.authorYin, Xiaobo-
dc.contributor.authorTan, Gang-
dc.contributor.authorYang, Ronggui-
dc.date.accessioned2022-01-31T06:04:46Z-
dc.date.available2022-01-31T06:04:46Z-
dc.date.issued2019-
dc.identifier.citationEnergy Conversion and Management, 2019, v. 186, p. 586-596-
dc.identifier.issn0196-8904-
dc.identifier.urihttp://hdl.handle.net/10722/310394-
dc.descriptionAccepted manuscript is available on the publisher website.-
dc.description.abstractWith the advancement in sub-ambient cooling of water during daytime under the sun with scalable-manufactured radiative cooling metamaterials, the challenge for applications lies in design and building of large-scale radiative cooling systems. Here, we present a kW-scale, 24-hour continuously operational, radiative sky cooling system, with both experimental study and detailed modeling. We first quantitatively show how water flow rate directly affects the system cooling power and inversely affects the water temperature drop. A day-and-night stagnant (flow rate = 0 L/(min·m2)) water cooling test of the system shows a consistent sub-ambient water temperature drop of 5–7 °C. A daytime cooling test of the system at a low flow rate of 0.227 L/(min·m2) yields a maximum sub-ambient temperature drop of 4.0 °C with an average net cooling power of around 80 W/m2. Further modelling for a typical metrological year (in Phoenix, Arizona) shows that the system could generate as much as 350 kWh cold (or 26 kWh/m2) with a sub-ambient temperature drop of 4–5 °C at a low flow rate of 0.1 L/(min·m2) during a typical summer month. The cold generated could be used to assist AC systems in regions or seasons with high ambient temperatures.-
dc.languageeng-
dc.relation.ispartofEnergy Conversion and Management-
dc.subjectAir conditioners-
dc.subjectBuilding energy saving-
dc.subjectRadiative cooling-
dc.subjectSky cooling-
dc.subjectSub-ambient water cooling-
dc.titleA kW-scale, 24-hour continuously operational, radiative sky cooling system: Experimental demonstration and predictive modeling-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1016/j.enconman.2019.03.006-
dc.identifier.scopuseid_2-s2.0-85062878642-
dc.identifier.volume186-
dc.identifier.spage586-
dc.identifier.epage596-
dc.identifier.isiWOS:000463979800044-

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