Guidelines about Predictive Control development and implementation in DC systems

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type , Report 31 May 2018Publisher:ZenodoFunded by:EC | INDIGO

Authors: Stauffer., Yves; Carrillo, Rafael;

doi: 10.5281/zenodo.2536385 , 10.5281/zenodo.1406881 , 10.5281/zenodo.1406880

Guidelines about Predictive Control development and implementation in DC systems

- Summary
- Subjects
- Metrics

Abstract

This report provides guidelines on how to plan and deploy smart management systems for DCP based on MPC (Model Predictive Control) techniques, so as to improve the plant’s energy efficiency and reduce carbon emissions. These guidelines have been developed considering existing DCP sites for which a refurbishment in terms of control management is planned.

Keywords

District Cooling, Energy Systems

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average