2019
DOI: 10.1088/1755-1315/352/1/012032
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Using residential buildings to manage flexibility in the district heating network: perspectives and future visions from sector professionals

Abstract: Intermittent energy resources challenge the ways in which the existing energy system operates. Studies suggest that residential buildings can provide a flexibility service for district heating (DH) systems. This technique involves load shifting by heating buildings to higher temperatures at times when energy is more readily available, thus diminishing heating needs at times of peak demand or when energy is scarce. Based on three Future Workshops (FWs) where DH professionals and other relevant DH stakeholders p… Show more

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Cited by 6 publications
(7 citation statements)
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“…This technical report describes the evaluation process of various machine learning algorithms' performance used for supervised binary classification for occupant detection, using a dataset from a residential building in the North of Denmark. It supports the publication of Development and Application of an XGBoost-Based Occupant Detection Model for Residential Buildings Using Supervised Learning (sent to review in Building & Environment September 2023) [1].…”
Section: Introductionmentioning
confidence: 94%
“…This technical report describes the evaluation process of various machine learning algorithms' performance used for supervised binary classification for occupant detection, using a dataset from a residential building in the North of Denmark. It supports the publication of Development and Application of an XGBoost-Based Occupant Detection Model for Residential Buildings Using Supervised Learning (sent to review in Building & Environment September 2023) [1].…”
Section: Introductionmentioning
confidence: 94%
“…Using heat stored in the buildings connected to DH networks to reduce the DH demand peaks (i.e., using the buildings for so-called 'virtual' storage) is one of the strategies that has attracted increasing attention during the last years, especially in Italy [25,[69][70][71][72][73][74] and in Nordic countries, such as Finland [30,[75][76][77], Denmark [78][79][80][81][82][83][84][85], and Sweden [54,86,87]. These countries are characterized by well-developed DH sectors and a large proportion of buildings with high thermal inertia.…”
Section: Direct Drmentioning
confidence: 99%
“…Furthermore, although the primary energy use can be reduced [54], this is not always the case. In some cases, an even higher energy use may occur [76,82,83], e.g., if the control is price-based, the increased energy use will probably occur when the DH price is low [81,82].…”
Section: Direct Drmentioning
confidence: 99%
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“…Flexibility in short-term demand may imply both that peaks in demand are reduced or levelled out and that demand is moved to times when there is high renewable production from fluctuating sources, such as wind power. Several experiments and research studies have been done related to shifting demand within the electric grid [2,3], whereas flexibility in district heating is less developed and researched [4], especially when utilizing an interdisciplinary approach. Technical energy modelling of buildings, however, shows that especially well insulated buildings with high thermal mass can be used to deliver flexibility to district heating systems [5,6].…”
Section: Introductionmentioning
confidence: 99%