Positive Energy Districts Methodology and Its Replication Potential Article Swipe
Beril Alpagut
,
Ömer Akyürek
,
Emilio Miguel Mitre
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/proceedings2019020008
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/proceedings2019020008
Positive Energy District (PED) strategy aims at speeding up the urban decarbonization, regarding mainly its scalability potential. For MAKING CITY, PED is defined as “an urban area with clear boundaries, consisting on buildings of different typologies that actively manage the energy flow between them and the larger energy system to reach an annual positive energy balance”. Aligned with it, a PED guideline (a standardized concept valid to be the core of specific urban energy transitions planning processes) is being created taking into account the constraints of the fellow cities underlining main needs in terms of energy and land use planning in principle.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/proceedings2019020008
- https://www.mdpi.com/2504-3900/20/1/8/pdf?version=1573114616
- OA Status
- gold
- Cited By
- 34
- References
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2962724948
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2962724948Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/proceedings2019020008Digital Object Identifier
- Title
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Positive Energy Districts Methodology and Its Replication PotentialWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-07-22Full publication date if available
- Authors
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Beril Alpagut, Ömer Akyürek, Emilio Miguel MitreList of authors in order
- Landing page
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https://doi.org/10.3390/proceedings2019020008Publisher landing page
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https://www.mdpi.com/2504-3900/20/1/8/pdf?version=1573114616Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2504-3900/20/1/8/pdf?version=1573114616Direct OA link when available
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Replication (statistics), Computer science, Energy (signal processing), Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
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34Total citation count in OpenAlex
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2025: 2, 2024: 6, 2023: 4, 2022: 7, 2021: 13Per-year citation counts (last 5 years)
- References (count)
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1Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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