Smart Energy Networks : : Optimization Strategies for the Design and Operation / / Maria Alessandra Ancona.
Beginning with an overview of distributed generation technologies, as well as of the state of the art of District Heating (DH) networks, this book provides an insight on methods and strategies for the optimal design and management of the smart energy networks. First of all, an in-depth analysis on t...
Saved in:
VerfasserIn: | |
---|---|
Place / Publishing House: | Bononia : : Bononia University Press,, 2022. ©2022 |
Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 online resource (196 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993585374004498 |
---|---|
ctrlnum |
(CKB)5690000000114752 (NjHacI)995690000000114752 (EXLCZ)995690000000114752 |
collection |
bib_alma |
record_format |
marc |
spelling |
Ancona, Maria Alessandra, author. Smart Energy Networks : Optimization Strategies for the Design and Operation / Maria Alessandra Ancona. Smart Energy Networks Bononia : Bononia University Press, 2022. ©2022 1 online resource (196 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on: online resource; title from PDF information screen (directory.doabooks.org, viewed March 29, 2023). Beginning with an overview of distributed generation technologies, as well as of the state of the art of District Heating (DH) networks, this book provides an insight on methods and strategies for the optimal design and management of the smart energy networks. First of all, an in-depth analysis on the thermal distribution networks is discussed, presenting a tool for the design and analysis of traditional DH and introducing the new concept of smart DH, with an in-depth analysis of the thermal prosumer role. In detail, the integration of distributed heat generators (e.g., solar thermal panels and cogenerators) into existing DH networks and the resulting thermodynamic effects are discussed. In addition, different possibilities for the design ex novo of such smart DH prosumers are presented. In addition, a focus on the optimization of the energy systems scheduling within complex (smart) energy networks is investigated, presenting a new software based on genetic algorithms and providing two case studies. Includes bibliographical references and index. Application software. 979-1-254-77043-6 |
language |
English |
format |
eBook |
author |
Ancona, Maria Alessandra, |
spellingShingle |
Ancona, Maria Alessandra, Smart Energy Networks : Optimization Strategies for the Design and Operation / |
author_facet |
Ancona, Maria Alessandra, |
author_variant |
m a a ma maa |
author_role |
VerfasserIn |
author_sort |
Ancona, Maria Alessandra, |
title |
Smart Energy Networks : Optimization Strategies for the Design and Operation / |
title_sub |
Optimization Strategies for the Design and Operation / |
title_full |
Smart Energy Networks : Optimization Strategies for the Design and Operation / Maria Alessandra Ancona. |
title_fullStr |
Smart Energy Networks : Optimization Strategies for the Design and Operation / Maria Alessandra Ancona. |
title_full_unstemmed |
Smart Energy Networks : Optimization Strategies for the Design and Operation / Maria Alessandra Ancona. |
title_auth |
Smart Energy Networks : Optimization Strategies for the Design and Operation / |
title_alt |
Smart Energy Networks |
title_new |
Smart Energy Networks : |
title_sort |
smart energy networks : optimization strategies for the design and operation / |
publisher |
Bononia University Press, |
publishDate |
2022 |
physical |
1 online resource (196 pages) |
isbn |
979-1-254-77043-6 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.76 A65 A536 42022 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
005 - Computer programming, programs & data |
dewey-full |
005.365 |
dewey-sort |
15.365 |
dewey-raw |
005.365 |
dewey-search |
005.365 |
work_keys_str_mv |
AT anconamariaalessandra smartenergynetworksoptimizationstrategiesforthedesignandoperation AT anconamariaalessandra smartenergynetworks |
status_str |
n |
ids_txt_mv |
(CKB)5690000000114752 (NjHacI)995690000000114752 (EXLCZ)995690000000114752 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Smart Energy Networks : Optimization Strategies for the Design and Operation / |
_version_ |
1796653108190773249 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02123nam a2200313 i 4500</leader><controlfield tag="001">993585374004498</controlfield><controlfield tag="005">20230329215349.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">230329s2022 it ob 001 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5690000000114752</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995690000000114752</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995690000000114752</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.76.A65</subfield><subfield code="b">.A536 2022</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">005.365</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ancona, Maria Alessandra,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Smart Energy Networks :</subfield><subfield code="b">Optimization Strategies for the Design and Operation /</subfield><subfield code="c">Maria Alessandra Ancona.</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Smart Energy Networks </subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Bononia :</subfield><subfield code="b">Bononia University Press,</subfield><subfield code="c">2022.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (196 pages)</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="588" ind1=" " ind2=" "><subfield code="a">Description based on: online resource; title from PDF information screen (directory.doabooks.org, viewed March 29, 2023).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Beginning with an overview of distributed generation technologies, as well as of the state of the art of District Heating (DH) networks, this book provides an insight on methods and strategies for the optimal design and management of the smart energy networks. First of all, an in-depth analysis on the thermal distribution networks is discussed, presenting a tool for the design and analysis of traditional DH and introducing the new concept of smart DH, with an in-depth analysis of the thermal prosumer role. In detail, the integration of distributed heat generators (e.g., solar thermal panels and cogenerators) into existing DH networks and the resulting thermodynamic effects are discussed. In addition, different possibilities for the design ex novo of such smart DH prosumers are presented. In addition, a focus on the optimization of the energy systems scheduling within complex (smart) energy networks is investigated, presenting a new software based on genetic algorithms and providing two case studies.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application software.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">979-1-254-77043-6</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-04-15 12:15:38 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2023-03-05 00:33:18 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=5344129990004498&Force_direct=true</subfield><subfield code="Z">5344129990004498</subfield><subfield code="b">Available</subfield><subfield code="8">5344129990004498</subfield></datafield></record></collection> |