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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Year of Publication:2020
Language:English
Physical Description:1 electronic resource (270 p.)
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spelling Borge Diez, David auth
District Heating and Cooling Networks
MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (270 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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, benefits would be experienced in the form of an increase in energy efficiency, an improvement in energy security, and a minimisation of emitted greenhouse gases. Given that heat demand is not expected to decrease significantly in the medium term, district heating networks show the greatest potential for the development of cogeneration. Due to their cost competitiveness, flexibility in terms of the ability to use renewable energy resources (such as geothermal or solar thermal) and fossil fuels (more specifically the residual heat from combustion), and the fact that, in some cases, losses to a country/region’s energy balance can be easily integrated into district heating networks (which would not be the case in a “fully electric” future), district heating (and cooling) networks and cogeneration could become a key element for a future with greater energy security, while being more sustainable, if appropriate measures were implemented. This book therefore seeks to propose an energy strategy for a number of cities/regions/countries by proposing appropriate measures supported by detailed case studies.
English
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
3-03928-839-3
Colmenar Santos, Antonio auth
Rosales Asensio, Enrique auth
language English
format eBook
author Borge Diez, David
spellingShingle Borge Diez, David
District Heating and Cooling Networks
author_facet Borge Diez, David
Colmenar Santos, Antonio
Rosales Asensio, Enrique
author_variant d d b dd ddb
author2 Colmenar Santos, Antonio
Rosales Asensio, Enrique
author2_variant s a c sa sac
a e r ae aer
author_sort Borge Diez, David
title District Heating and Cooling Networks
title_full District Heating and Cooling Networks
title_fullStr District Heating and Cooling Networks
title_full_unstemmed District Heating and Cooling Networks
title_auth District Heating and Cooling Networks
title_new District Heating and Cooling Networks
title_sort district heating and cooling networks
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (270 p.)
isbn 3-03928-840-7
3-03928-839-3
illustrated Not Illustrated
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