publication . Article . 2020

Virtual testbed for model predictive control development in district cooling systems

Laura Zabala; Jesús Febres; Raymond Sterling; Susana López; Marcus M. Keane;
Open Access English
  • Published: 05 Jun 2020 Journal: Renewable and Sustainable Energy Reviews, volume 129, page 109,920 (issn: 13640321, Copyright policy)
Abstract
Abstract Recently, with increasing cooling demands, district cooling has assumed an important role as it is more efficient than stand-alone cooling systems. District cooling reduces the environmental impact and promotes the use of renewable sources. Earlier studies to optimise the production plants of district cooling systems were focused primarily on plants with compressor chillers and thermal energy storage devices. Although absorption chillers are crucial for integrating renewable sources into these systems, very few studies have considered them from the cooling perspective. In this regard, this paper presents the progress and results of the implementation of...
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Subjects
free text keywords: Renewable Energy, Sustainability and the Environment, Model predictive control, Renewable energy, business.industry, business, Thermal energy storage, Primary energy, Process engineering, Chiller, Control theory, District cooling, Modelica, Computer science
Funded by
EC| INDIGO
Project
INDIGO
New generation of Intelligent Efficient District Cooling systems
  • Funder: European Commission (EC)
  • Project Code: 696098
  • Funding stream: H2020 | RIA
Validated by funder
Communities
Energy Research
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