Controlling district heating and cooling networks to unlock flexibility: A review
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District heating and cooling reduces HVAC energy consumption and can provide flexible load, but needs large amounts of district-level data.
“In turn, district heating and cooling reduces HVAC energy consumption and can provide flexible load [808], but it needs large amounts of data at the district level for implementation and operation.”
From Tackling climate change with machine learning (2023) · cites this paper as [808]
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- Authors
- Vandermeulen, A., van der Heijde, B., & Helsen, L.
- Affiliations
- Flemish Institute for Technological Research (BE)
- KU Leuven (BE)
- Corresponding author
- Vandermeulen, Annelies
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 151
- Pages
- 103-115
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2792670560
- Cited by
- 332
- References
- 69
- Citations by year
- 2026: 41 · 2025: 27 · 2024: 44 · 2023: 40 · 2022: 45 · 2021: 58 · 2020: 36 · 2019: 32 · 2018: 8
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Energy (publishedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- European Union
- European Regional Development Fund
- Flanders Innovation & Entrepreneurship
- Province of Limburg
- VITO
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Keywords
- district heating and cooling, thermal network, flexibility, control strategy, thermal energy storage, thermal inertia, renewable energy integration, distributed control, hybrid control, centralized control, flexibility quantification
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