District Energy System Design : Simulation, Optimization and Decision Support
The articles presented in this Special Issue cover different aspects of the urban planning process, such as simulation, optimization or decision-making. The authors highlighted the importance of performing an integrated design of the district, considering different sectors, different energy vectors...
Saved in:
HerausgeberIn: | |
---|---|
Sonstige: | |
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 electronic resource (176 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993546269404498 |
---|---|
ctrlnum |
(CKB)5400000000044235 (oapen)https://directory.doabooks.org/handle/20.500.12854/68898 (EXLCZ)995400000000044235 |
collection |
bib_alma |
record_format |
marc |
spelling |
Inard, Christian edt District Energy System Design Simulation, Optimization and Decision Support District Energy System Design Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 1 electronic resource (176 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier The articles presented in this Special Issue cover different aspects of the urban planning process, such as simulation, optimization or decision-making. The authors highlighted the importance of performing an integrated design of the district, considering different sectors, different energy vectors and different operation modes. In order to better integrate renewable and residual energy sources (R²ES), careful design of systems and storage solutions should be performed. Different storage solutions were tested, ranging from large-scale thermal energy storage to vehicle batteries or the thermal mass of buildings. Van der Heijde et al. (2019) proposed a two-layer design optimization algorithm to design a district heating network with solar thermal collectors, seasonal thermal energy storage and excess heat injection. Pajot et al. (2019) also performed an optimization of the sizing and control of energy systems in a district equipped with heat pumps, with thermal energy storage or thermal mass utilization. A hybrid distribution system, coupling the thermal and electrical networks, was proposed by Widl et al. (2019). Arnaudo et al. (2019) used the vehicle-to-grid (V2G) concept to decrease the overloading of the electrical distribution network during heat pump operation. Finally, Kazmi et al. (2019) proposed an integrated decision-making planning approach for a better integration of R²ES in the distribution network. The complexity of urban planning leads to the development of new tools and methodologies. Until now, operation was poorly integrated in the design phase. New urban building energy modeling tools were proposed by the different authors. These tools are either based on co-simulations or integrated solutions to be able to capture the fine dynamics of a district. The difficulty of generating the input data for the models was also discussed. Regarding the methodology, most articles proposed a two-stage optimization procedure to optimize both the operational and design aspects. Mixed-integer linear programming (MILP) and genetic algorithms were often used to find optimal solutions. English History of engineering & technology bicssc 3-03936-366-2 3-03936-367-0 Dréau, Jérôme Le edt Inard, Christian oth Dréau, Jérôme Le oth |
language |
English |
format |
eBook |
author2 |
Dréau, Jérôme Le Inard, Christian Dréau, Jérôme Le |
author_facet |
Dréau, Jérôme Le Inard, Christian Dréau, Jérôme Le |
author2_variant |
c i ci j l d jl jld |
author2_role |
HerausgeberIn Sonstige Sonstige |
title |
District Energy System Design Simulation, Optimization and Decision Support |
spellingShingle |
District Energy System Design Simulation, Optimization and Decision Support |
title_sub |
Simulation, Optimization and Decision Support |
title_full |
District Energy System Design Simulation, Optimization and Decision Support |
title_fullStr |
District Energy System Design Simulation, Optimization and Decision Support |
title_full_unstemmed |
District Energy System Design Simulation, Optimization and Decision Support |
title_auth |
District Energy System Design Simulation, Optimization and Decision Support |
title_alt |
District Energy System Design |
title_new |
District Energy System Design |
title_sort |
district energy system design simulation, optimization and decision support |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
physical |
1 electronic resource (176 p.) |
isbn |
3-03936-366-2 3-03936-367-0 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT inardchristian districtenergysystemdesignsimulationoptimizationanddecisionsupport AT dreaujeromele districtenergysystemdesignsimulationoptimizationanddecisionsupport AT inardchristian districtenergysystemdesign AT dreaujeromele districtenergysystemdesign |
status_str |
n |
ids_txt_mv |
(CKB)5400000000044235 (oapen)https://directory.doabooks.org/handle/20.500.12854/68898 (EXLCZ)995400000000044235 |
carrierType_str_mv |
cr |
is_hierarchy_title |
District Energy System Design Simulation, Optimization and Decision Support |
author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField |
_version_ |
1787548858695286785 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03201nam-a2200325z--4500</leader><controlfield tag="001">993546269404498</controlfield><controlfield tag="005">20231214133125.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202105s2020 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000044235</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/68898</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000044235</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Inard, Christian</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">District Energy System Design</subfield><subfield code="b">Simulation, Optimization and Decision Support</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">District Energy System Design </subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (176 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The articles presented in this Special Issue cover different aspects of the urban planning process, such as simulation, optimization or decision-making. The authors highlighted the importance of performing an integrated design of the district, considering different sectors, different energy vectors and different operation modes. In order to better integrate renewable and residual energy sources (R²ES), careful design of systems and storage solutions should be performed. Different storage solutions were tested, ranging from large-scale thermal energy storage to vehicle batteries or the thermal mass of buildings. Van der Heijde et al. (2019) proposed a two-layer design optimization algorithm to design a district heating network with solar thermal collectors, seasonal thermal energy storage and excess heat injection. Pajot et al. (2019) also performed an optimization of the sizing and control of energy systems in a district equipped with heat pumps, with thermal energy storage or thermal mass utilization. A hybrid distribution system, coupling the thermal and electrical networks, was proposed by Widl et al. (2019). Arnaudo et al. (2019) used the vehicle-to-grid (V2G) concept to decrease the overloading of the electrical distribution network during heat pump operation. Finally, Kazmi et al. (2019) proposed an integrated decision-making planning approach for a better integration of R²ES in the distribution network. The complexity of urban planning leads to the development of new tools and methodologies. Until now, operation was poorly integrated in the design phase. New urban building energy modeling tools were proposed by the different authors. These tools are either based on co-simulations or integrated solutions to be able to capture the fine dynamics of a district. The difficulty of generating the input data for the models was also discussed. Regarding the methodology, most articles proposed a two-stage optimization procedure to optimize both the operational and design aspects. Mixed-integer linear programming (MILP) and genetic algorithms were often used to find optimal solutions.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">History of engineering & technology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03936-366-2</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03936-367-0</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dréau, Jérôme Le</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Inard, Christian</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dréau, Jérôme Le</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:43:18 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338173370004498&Force_direct=true</subfield><subfield code="Z">5338173370004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338173370004498</subfield></datafield></record></collection> |