District Heating and Cooling Networks

Conventional thermal power generating plants reject a large amount of energy every year. If this rejected heat were to be used through district heating networks, given prior energy valorisation, there would be a noticeable decrease in the amount of fossil fuels imported for heating. As a consequence...

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Bibliographic Details
Main Author:	Borge Diez, David (auth)
Other Authors:	Colmenar Santos, Antonio (auth), Rosales Asensio, Enrique (auth)
Format:	Book Chapter
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	district heating 4th generation district heating data mining algorithms energy system modeling neural networks baseline model hydronic pavement system biomass district heating for rural locations CO2 emissions abatement low temperature networks ultralow-temperature district heating domestic optimization energy efficiency sustainable energy big data frameworks verification energy prediction parameter analysis greenhouse gas emissions time delay heat pumps primary energy use retrofit energy consumption forecast district heating (DH) network low-temperature district heating thermal inertia variable-temperature district heating data streams analysis Computational Fluid Dynamics energy management in renovated building Scotland heat reuse thermally activated cooling district cooling space cooling Gulf Cooperation Council biomass TRNSYS hot climate optimal control air-conditioning machine learning low temperature district heating system data center twin-pipe residential prediction algorithm CFD model nZEB thermal-hydraulic performance
Online Access:	Get Fullteks DOAB: description of the publication
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District Heating and Cooling Networks

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