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dc.contributor.authorCosta, A.
dc.contributor.authorDe Cinque, P.
dc.contributor.authorElagiry, M.
dc.contributor.authorPasserini, F.
dc.contributor.authorBassani, A.
dc.contributor.authorFebres, J.
dc.contributor.authorLopez, S.
dc.contributor.authorSterling, R.
dc.contributor.author Keane, M.
dc.contributor.authorCarrillo, R.
dc.contributor.authorStauffer, Y.
dc.contributor.authorRama, M.
dc.contributor.author Krzysztof, K.
dc.contributor.authorLanz, G. N.
dc.contributor.authorUrquijo, J. A.
dc.date.accessioned2021-12-09T14:03:27Z
dc.date.available2021-12-09T14:03:27Z
dc.date.issued2019
dc.identifier.citationBuilding Simulation 2019, Rome (IT), September 2019.
dc.identifier.urihttps://yoda.csem.ch/handle/20.500.12839/323
dc.description.abstractIn a district cooling system different types of cooling generation can be combined (e.g., vapour compression chillers, absorption chillers, and free cooling). Controlling such complex systems in an efficient way is challenging: the cooling demand is much more difficult to predict than the heat demand and, as for absorption chillers, heat sources such as the solar energy and the waste heat are not predetermined by the designers
dc.subjectpredictive controllers;system management algorithms; open-source planning tool; HVAC
dc.titleINDIGO Project: A Simulation Based Approach To Support District Cooling Design And Operation
dc.typeJournal Article
dc.type.csemdivisionsDiv-E
dc.type.csemresearchareasDigital Energy
dc.identifier.urlhttp://www.ibpsa.org/proceedings/BS2019/BS2019_210705.pdf


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