Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Daniela Guericke"'
Publikováno v:
Energies, Vol 13, Iss 12, p 3183 (2020)
Smart grid operation schemes can integrate prosumers by offering economic rewards in exchange for the desired response. In order to activate prosumers appropriately, such operation schemes require models of the dynamic uncertain price-response relati
Externí odkaz:
https://doaj.org/article/c814002079114157ade6b07fef2f4619
Publikováno v:
Energies, Vol 11, Iss 12, p 3310 (2018)
In countries with an extended use of district heating (DH), the integrated operation of DH and power systems can increase the flexibility of the power system, achieving a higher integration of renewable energy sources (RES). DH operators can not only
Externí odkaz:
https://doaj.org/article/6b08f54865db41a6a2eda565781f80e8
Autor:
Florencia Lazzari, Gerard Mor, Jordi Cipriano, Francesc Solsona, Daniel Chemisana, Daniela Guericke
Publikováno v:
Applied energy, 338:120906. Elsevier
Renewable Energy Communities (REC) have the potential to become a key agent for the energy transition. Since consumers have different consumption patterns depending on their habits, their grouping allows for a better use of the resource. REC provide
Autor:
Henrik Madsen, Daniela Guericke
Publikováno v:
Energy Systems. 13:1011-1029
Due to the carbon neutral goals in many countries, a shift from traditional fuels to biomass is currently taking place in the energy sector. In this publication, we are looking at the long-term biomass contracting decisions for combined heat and powe
Autor:
Amos Schledorn, Rune Grønborg Junker, Daniela Guericke, Henrik Madsen, Dominik Franjo Dominković
Publikováno v:
Schledorn, A, Junker, R G, Guericke, D, Madsen, H & Dominković, D F 2022, ' Frigg : Soft-linking energy system and demand response models ', Applied Energy, vol. 317, 119074 . https://doi.org/10.1016/j.apenergy.2022.119074
Flexible and responsive demand is key to the decarbonising of energy systems. In this paper, an economic dispatch model of a district heating system, modelled as a linear program, is soft-linked to a so-called flexibility function of end-consumer res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed11a0d1d1a1db65f284aef3f5c3b638
https://orbit.dtu.dk/en/publications/8cdbc083-5220-4cbc-a733-e0c94efa28a9
https://orbit.dtu.dk/en/publications/8cdbc083-5220-4cbc-a733-e0c94efa28a9
Publikováno v:
Dominkovic, D F, Junker, R G & Guericke, D 2022, ' Data centers and energy systems: an on-site integration ', Paper presented at 2nd International Sustainable Energy Conference, Graz, Austria, 05/04/2022-07/04/2022 pp. 260-261 .
Technical University of Denmark Orbit
Technical University of Denmark Orbit
Data centers today consume between 2% and 4% of the electricity worldwide. Small data centers are responsible for half of this consumption. Data centers continue to expand rapidly and this presents a threat to their sustainable operation. Aquifer The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fa7168ac7a0835735608494f182c5f08
https://orbit.dtu.dk/en/publications/5bda38b2-ff1d-40eb-a03f-c165fee6519e
https://orbit.dtu.dk/en/publications/5bda38b2-ff1d-40eb-a03f-c165fee6519e
Publikováno v:
IET Renewable Power Generation. 14:118-124
Model predictive control (MPC) has been applied in multiple ways to the load–frequency control problem. In this study, the authors illustrate and compare a target-adjusted MPC to a classical MPC formulation. The target-adjusted approach is also pos
Autor:
Henrik Madsen, S. Ali Pourmousavi, Daniela Guericke, Juan Miguel Morales, Giulia De Zotti, Niels Kjølstad Poulsen
Publikováno v:
IFAC-PapersOnLine. 52:6-11
Demand response (DR) will be an inevitable part of the future power system operation to compensate for stochastic variations of the ever-increasing renewable generation. A solution to achieve DR is to broadcast dynamic prices to customers at the edge
Autor:
F. Lacalandra, R. Schwarz, Daniela Guericke, Henrik Madsen, Aldo Bischi, J. Zittel, Andrea Bettinelli, L. Schewe, Daniele Vigo, Robin Lenz, I. Yüksel-Ergün, K. Vuik, Ignacio Blanco, Emanuele Martelli, Tiziano Parriani
Publikováno v:
Schwarz, R, Lacalandra, F, Schewe, L, Bettinelli, A, Vigo, D, Bischi, A, Parriani, T, Martelli, E, Vuik, K, Lenz, R, Madsen, H, Blanco, I, Guericke, D, Yüksel-Ergün, I & Zittel, J 2021, Network and Storage . in Mathematical Optimization for Efficient and Robust Energy Networks . AIRO Springer Series, vol. 4, Springer Nature, pp. 89-105 . https://doi.org/10.1007/978-3-030-57442-0_6
Mathematical Optimization for Efficient and Robust Energy Networks, 89-105
STARTPAGE=89;ENDPAGE=105;TITLE=Mathematical Optimization for Efficient and Robust Energy Networks
AIRO Springer Series ISBN: 9783030574413
Mathematical Optimization for Efficient and Robust Energy Networks, 89-105
STARTPAGE=89;ENDPAGE=105;TITLE=Mathematical Optimization for Efficient and Robust Energy Networks
AIRO Springer Series ISBN: 9783030574413
Natural gas is considered by many to be the most important energy source for the future. The objectives of energy commodities strategic problems can be mainly related to natural gas and deal with the definition of the “optimal” gas pipelines desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0348cee1ae4f601952e3f801e028ea24
https://doi.org/10.1007/978-3-030-57442-0_6
https://doi.org/10.1007/978-3-030-57442-0_6
Publikováno v:
Banis, F, Madsen, H, Poulsen, N K & Guericke, D 2020, ' Prosumer Response Estimation Using SINDyc in Conjunction with Markov-Chain Monte-Carlo Sampling ', Energies, vol. 13, no. 12, 3183 . https://doi.org/10.3390/en13123183
Energies, Vol 13, Iss 3183, p 3183 (2020)
Energies
Volume 13
Issue 12
Energies, Vol 13, Iss 3183, p 3183 (2020)
Energies
Volume 13
Issue 12
Smart grid operation schemes can integrate prosumers by offering economic rewards in exchange for the desired response. In order to activate prosumers appropriately, such operation schemes require models of the dynamic uncertain price-response relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c33943c6140f696dae9b5b7ee12d0d16
https://orbit.dtu.dk/en/publications/21527696-10ba-4710-aab9-adcf4600e3bc
https://orbit.dtu.dk/en/publications/21527696-10ba-4710-aab9-adcf4600e3bc