RT info:eu-repo/semantics/article
T1 Enhancing the energy efficiency in district heating networks through digital twins
A1 Hernández, José L.
A1 Miguel Jiménez, Ignacio de
A1 Velez Jaramillo, Jhon Fredy
A1 Marcos, Pablo
A1 Martín, Javier
K1 District heating
K1 digital twin
K1 optimal energy management
K1 grey-box approach
AB Europe prioritizes energy efficiency for sustainable development and climate action, with buildings consuming 40% of the EU’s energy and contributing over 30% of CO2 emissions. To address this, the EU implements policies targeting energy efficiency across sectors like industry, transportation, and district heating. The Energy Efficiency Directive mandates reductions in energy consumption, promoting measures such as energy audits and performance standards. Initiatives like the European Green Deal and Renovation Wave Strategy underscore the importance of energy efficiency in achieving carbon neutrality. District heating systems play a vital role in this strategy, offering Efficient heating solutions for urban areas, and optimizing their operation is a key focus of research. Techniques include mathematical modeling, advanced control strategies, and integration of renewable energy sources. This work focuses on the application of a digital twin to model the district heating network combined with prediction tools to enhance system efficiency. A procedure to integrate physics (white-box) and data-driven (black-box) approaches to foster better-informed decisions in the optimal energy resources management is presented.
PB Elsevier B.V
SN 1877-0509
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/80236
UL https://uvadoc.uva.es/handle/10324/80236
LA eng
NO Procedia Computer Science, 2024, vol. 246, p. 4278-4287
NO Producción Científica
DS UVaDOC
RD 02-dic-2025