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District heating and cooling optimization and enhancement - Towards integration of renewables, storage and smart grid.

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Title: District heating and cooling optimization and enhancement - Towards integration of renewables, storage and smart grid.
Authors: Yu Li, Yu Li1, Yacine Rezgui, Yacine Rezgui2 RezguiY@cardiff.ac.uk, Hanxing Zhu, Hanxing Zhu
Source: Renewable & Sustainable Energy Reviews. May2017, Vol. 72, p281-294. 14p.
Subjects: Heating, Cooling, Renewable energy sources, Smart power grids, Fossil fuels
Abstract: District heating and cooling (DHC) systems are attracting increased interest for their low carbon potential. However, most DHC systems are not operating at the expected performance level. Optimization and Enhancement of DHC networks to reduce (a) fossil fuel consumption, CO2 emission, and heat losses across the network, while (b) increasing return on investment, form key challenges faced by decision makers in the fast developing energy landscape. While the academic literature is abundant of research based on field experiments, simulations, optimization strategies and algorithms etc., there is a lack of a comprehensive review that addresses the multi-faceted dimensions of the optimization and enhancement of DHC systems with a view to promote integration of smart grids, energy storage and increased share of renewable energy. The paper focuses on four areas: energy generation, energy distribution, heat substations, and terminal users, identifying state-of-the-art methods and solutions, while paving the way for future research. [ABSTRACT FROM AUTHOR]
Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 122398842
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: District heating and cooling optimization and enhancement - Towards integration of renewables, storage and smart grid.
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  Data: <searchLink fieldCode="AR" term="%22Yu+Li%2C+Yu+Li%22">Yu Li, Yu Li</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yacine+Rezgui%2C+Yacine+Rezgui%22">Yacine Rezgui, Yacine Rezgui</searchLink><relatesTo>2</relatesTo><i> RezguiY@cardiff.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Hanxing+Zhu%2C+Hanxing+Zhu%22">Hanxing Zhu, Hanxing Zhu</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Renewable+%26+Sustainable+Energy+Reviews%22">Renewable & Sustainable Energy Reviews</searchLink>. May2017, Vol. 72, p281-294. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Heating%22">Heating</searchLink><br /><searchLink fieldCode="DE" term="%22Cooling%22">Cooling</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink><br /><searchLink fieldCode="DE" term="%22Fossil+fuels%22">Fossil fuels</searchLink>
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  Label: Abstract
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  Data: District heating and cooling (DHC) systems are attracting increased interest for their low carbon potential. However, most DHC systems are not operating at the expected performance level. Optimization and Enhancement of DHC networks to reduce (a) fossil fuel consumption, CO2 emission, and heat losses across the network, while (b) increasing return on investment, form key challenges faced by decision makers in the fast developing energy landscape. While the academic literature is abundant of research based on field experiments, simulations, optimization strategies and algorithms etc., there is a lack of a comprehensive review that addresses the multi-faceted dimensions of the optimization and enhancement of DHC systems with a view to promote integration of smart grids, energy storage and increased share of renewable energy. The paper focuses on four areas: energy generation, energy distribution, heat substations, and terminal users, identifying state-of-the-art methods and solutions, while paving the way for future research. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.rser.2017.01.061
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 281
    Subjects:
      – SubjectFull: Heating
        Type: general
      – SubjectFull: Cooling
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Smart power grids
        Type: general
      – SubjectFull: Fossil fuels
        Type: general
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      – TitleFull: District heating and cooling optimization and enhancement - Towards integration of renewables, storage and smart grid.
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            NameFull: Yu Li, Yu Li
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            NameFull: Yacine Rezgui, Yacine Rezgui
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            NameFull: Hanxing Zhu, Hanxing Zhu
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            – D: 15
              M: 05
              Text: May2017
              Type: published
              Y: 2017
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              Value: 72
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