Analysis of the Storage Capacity in an Aggregated Heat Pump Portfolio

Kirsten Mølgaard Nielsen; Palle Andersen; Tom Søndergård Pedersen

doi:10.1109/ASCC.2015.7244393

Analysis of the Storage Capacity in an Aggregated Heat Pump Portfolio

Kirsten Mølgaard Nielsen, Palle Andersen, Tom Søndergård Pedersen

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

Abstract

Energy storages connected to the power grid will
be of great importance in the near future. A pilot project
has investigated more than 100 single family houses with heat
pumps all connected to the internet. The houses have large
heat capacities and it is possible to move energy consumption to
suitable time slots and this makes it possible to avoid some grid
storage capacity. The energy is bought based on prediction of
energy prices, weather forecast and an aggregated house model
on the NORD POOL day-ahead market. The bought energy
is then distributed to the houses using a model free sorting
(scheduling) algorithm. The properties of this scheduling are
investigated in the paper especially the flexibility and ability to
trade on the intra-day regulating market is in focus.

Originalsprog	Engelsk
Titel	10th Asian Control Conference (ASCC), 2015
Antal sider	6
Forlag	IEEE Press
Publikationsdato	31 maj 2015
ISBN (Elektronisk)	978-1-4799-7862-5
DOI	https://doi.org/10.1109/ASCC.2015.7244393
Status	Udgivet - 31 maj 2015
Begivenhed	2015 10th Asian Control Conference (ASCC) - Kota Kinabalu, Malaysia Varighed: 31 maj 2015 → 3 jun. 2015

Konference

Konference	2015 10th Asian Control Conference (ASCC)
Land/Område	Malaysia
By	Kota Kinabalu
Periode	31/05/2015 → 03/06/2015

Navn	Asian Control Conference

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10.1109/ASCC.2015.7244393

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Citationsformater

@inproceedings{1d4053765ac34fb8b57b113213571ffd,

title = "Analysis of the Storage Capacity in an Aggregated Heat Pump Portfolio",

abstract = "Energy storages connected to the power grid will be of great importance in the near future. A pilot project has investigated more than 100 single family houses with heat pumps all connected to the internet. The houses have large heat capacities and it is possible to move energy consumption to suitable time slots and this makes it possible to avoid some grid storage capacity. The energy is bought based on prediction of energy prices, weather forecast and an aggregated house model on the NORD POOL day-ahead market. The bought energy is then distributed to the houses using a model free sorting (scheduling) algorithm. The properties of this scheduling are investigated in the paper especially the flexibility and ability to trade on the intra-day regulating market is in focus.",

author = "Nielsen, {Kirsten M{\o}lgaard} and Palle Andersen and Pedersen, {Tom S{\o}nderg{\aa}rd}",

year = "2015",

month = may,

day = "31",

doi = "10.1109/ASCC.2015.7244393",

language = "English",

series = " Asian Control Conference",

booktitle = "10th Asian Control Conference (ASCC), 2015",

publisher = "IEEE Press",

note = "2015 10th Asian Control Conference (ASCC), ASCC ; Conference date: 31-05-2015 Through 03-06-2015",

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AU - Nielsen, Kirsten Mølgaard

AU - Andersen, Palle

AU - Pedersen, Tom Søndergård

PY - 2015/5/31

Y1 - 2015/5/31

N2 - Energy storages connected to the power grid will be of great importance in the near future. A pilot project has investigated more than 100 single family houses with heat pumps all connected to the internet. The houses have large heat capacities and it is possible to move energy consumption to suitable time slots and this makes it possible to avoid some grid storage capacity. The energy is bought based on prediction of energy prices, weather forecast and an aggregated house model on the NORD POOL day-ahead market. The bought energy is then distributed to the houses using a model free sorting (scheduling) algorithm. The properties of this scheduling are investigated in the paper especially the flexibility and ability to trade on the intra-day regulating market is in focus.

AB - Energy storages connected to the power grid will be of great importance in the near future. A pilot project has investigated more than 100 single family houses with heat pumps all connected to the internet. The houses have large heat capacities and it is possible to move energy consumption to suitable time slots and this makes it possible to avoid some grid storage capacity. The energy is bought based on prediction of energy prices, weather forecast and an aggregated house model on the NORD POOL day-ahead market. The bought energy is then distributed to the houses using a model free sorting (scheduling) algorithm. The properties of this scheduling are investigated in the paper especially the flexibility and ability to trade on the intra-day regulating market is in focus.

U2 - 10.1109/ASCC.2015.7244393

DO - 10.1109/ASCC.2015.7244393

M3 - Article in proceeding

T3 - Asian Control Conference

BT - 10th Asian Control Conference (ASCC), 2015

PB - IEEE Press

T2 - 2015 10th Asian Control Conference (ASCC)

Y2 - 31 May 2015 through 3 June 2015

ER -

Analysis of the Storage Capacity in an Aggregated Heat Pump Portfolio

Abstract

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