IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v137y2015icp193-210.html
   My bibliography  Save this item

High resolution modelling of multi-energy domestic demand profiles

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Delaram Azari & Shahab Shariat Torbaghan & Hans Cappon & Karel J. Keesman & Madeleine Gibescu & Huub Rijnaarts, 2020. "On the Sensitivity of Local Flexibility Markets to Forecast Error: A Bi-Level Optimization Approach," Energies, MDPI, vol. 13(8), pages 1-18, April.
  2. Jiashen Teh, 2018. "Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System," Energies, MDPI, vol. 11(10), pages 1-12, October.
  3. Mattia De Rosa & Marcus Brennenstuhl & Carlos Andrade Cabrera & Ursula Eicker & Donal P. Finn, 2019. "An Iterative Methodology for Model Complexity Reduction in Residential Building Simulation," Energies, MDPI, vol. 12(12), pages 1-20, June.
  4. Ivanko, Dmytro & Sørensen, Åse Lekang & Nord, Natasa, 2021. "Splitting measurements of the total heat demand in a hotel into domestic hot water and space heating heat use," Energy, Elsevier, vol. 219(C).
  5. Blonsky, Michael & Maguire, Jeff & McKenna, Killian & Cutler, Dylan & Balamurugan, Sivasathya Pradha & Jin, Xin, 2021. "OCHRE: The Object-oriented, Controllable, High-resolution Residential Energy Model for Dynamic Integration Studies," Applied Energy, Elsevier, vol. 290(C).
  6. Meireles, I. & Sousa, V. & Bleys, B. & Poncelet, B., 2022. "Domestic hot water consumption pattern: Relation with total water consumption and air temperature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
  7. Lombardi, Francesco & Balderrama, Sergio & Quoilin, Sylvain & Colombo, Emanuela, 2019. "Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model," Energy, Elsevier, vol. 177(C), pages 433-444.
  8. Murray, D.M. & Liao, J. & Stankovic, L. & Stankovic, V., 2016. "Understanding usage patterns of electric kettle and energy saving potential," Applied Energy, Elsevier, vol. 171(C), pages 231-242.
  9. McKenna, Eoghan & Thomson, Murray, 2016. "High-resolution stochastic integrated thermal–electrical domestic demand model," Applied Energy, Elsevier, vol. 165(C), pages 445-461.
  10. Jack, M.W. & Suomalainen, K. & Dew, J.J.W. & Eyers, D., 2018. "A minimal simulation of the electricity demand of a domestic hot water cylinder for smart control," Applied Energy, Elsevier, vol. 211(C), pages 104-112.
  11. Kazmi, H. & D’Oca, S. & Delmastro, C. & Lodeweyckx, S. & Corgnati, S.P., 2016. "Generalizable occupant-driven optimization model for domestic hot water production in NZEB," Applied Energy, Elsevier, vol. 175(C), pages 1-15.
  12. Good, Nicholas, 2019. "Using behavioural economic theory in modelling of demand response," Applied Energy, Elsevier, vol. 239(C), pages 107-116.
  13. Benjamin Böckl & Matthias Greiml & Lukas Leitner & Patrick Pichler & Lukas Kriechbaum & Thomas Kienberger, 2019. "HyFlow—A Hybrid Load Flow-Modelling Framework to Evaluate the Effects of Energy Storage and Sector Coupling on the Electrical Load Flows," Energies, MDPI, vol. 12(5), pages 1-25, March.
  14. Martínez Ceseña, Eduardo A. & Good, Nicholas & Mancarella, Pierluigi, 2015. "Electrical network capacity support from demand side response: Techno-economic assessment of potential business cases for small commercial and residential end-users," Energy Policy, Elsevier, vol. 82(C), pages 222-232.
  15. Sadeghian, Hamidreza & Wang, Zhifang, 2020. "A novel impact-assessment framework for distributed PV installations in low-voltage secondary networks," Renewable Energy, Elsevier, vol. 147(P1), pages 2179-2194.
  16. Zhou, Xin & Tian, Shuai & An, Jingjing & Yan, Da & Zhang, Lun & Yang, Junyan, 2022. "Modeling occupant behavior’s influence on the energy efficiency of solar domestic hot water systems," Applied Energy, Elsevier, vol. 309(C).
  17. Zhou, Yutian & Panteli, Mathaios & Moreno, Rodrigo & Mancarella, Pierluigi, 2018. "System-level assessment of reliability and resilience provision from microgrids," Applied Energy, Elsevier, vol. 230(C), pages 374-392.
  18. Zhang, Lingxi & Good, Nicholas & Mancarella, Pierluigi, 2019. "Building-to-grid flexibility: Modelling and assessment metrics for residential demand response from heat pump aggregations," Applied Energy, Elsevier, vol. 233, pages 709-723.
  19. Pallonetto, Fabiano & De Rosa, Mattia & D’Ettorre, Francesco & Finn, Donal P., 2020. "On the assessment and control optimisation of demand response programs in residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
  20. Martínez Ceseña, Eduardo A. & Good, Nicholas & Syrri, Angeliki L.A. & Mancarella, Pierluigi, 2018. "Techno-economic and business case assessment of multi-energy microgrids with co-optimization of energy, reserve and reliability services," Applied Energy, Elsevier, vol. 210(C), pages 896-913.
  21. Haas, J. & Cebulla, F. & Cao, K. & Nowak, W. & Palma-Behnke, R. & Rahmann, C. & Mancarella, P., 2017. "Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 603-619.
  22. Wang, Zhikun & Crawley, Jenny & Li, Francis G.N. & Lowe, Robert, 2020. "Sizing of district heating systems based on smart meter data: Quantifying the aggregated domestic energy demand and demand diversity in the UK," Energy, Elsevier, vol. 193(C).
  23. Lingxi Zhang & Yutian Zhou & Damian Flynn & Joseph Mutale & Pierluigi Mancarella, 2017. "System-Level Operational and Adequacy Impact Assessment of Photovoltaic and Distributed Energy Storage, with Consideration of Inertial Constraints, Dynamic Reserve and Interconnection Flexibility," Energies, MDPI, vol. 10(7), pages 1-34, July.
  24. Li, Han & Johra, Hicham & de Andrade Pereira, Flavia & Hong, Tianzhen & Le Dréau, Jérôme & Maturo, Anthony & Wei, Mingjun & Liu, Yapan & Saberi-Derakhtenjani, Ali & Nagy, Zoltan & Marszal-Pomianowska,, 2023. "Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives," Applied Energy, Elsevier, vol. 343(C).
  25. Heinen, Steve & Turner, William & Cradden, Lucy & McDermott, Frank & O'Malley, Mark, 2017. "Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis," Energy, Elsevier, vol. 127(C), pages 136-154.
  26. Love, Jenny & Smith, Andrew Z.P. & Watson, Stephen & Oikonomou, Eleni & Summerfield, Alex & Gleeson, Colin & Biddulph, Phillip & Chiu, Lai Fong & Wingfield, Jez & Martin, Chris & Stone, Andy & Lowe, R, 2017. "The addition of heat pump electricity load profiles to GB electricity demand: Evidence from a heat pump field trial," Applied Energy, Elsevier, vol. 204(C), pages 332-342.
  27. Heine, Karl & Tabares-Velasco, Paulo Cesar & Deru, Michael, 2021. "Design and dispatch optimization of packaged ice storage systems within a connected community," Applied Energy, Elsevier, vol. 298(C).
  28. Fuentes-Cortés, Luis Fabián & Dowling, Alexander W. & Rubio-Maya, Carlos & Zavala, Víctor M. & Ponce-Ortega, José María, 2016. "Integrated design and control of multigeneration systems for building complexes," Energy, Elsevier, vol. 116(P2), pages 1403-1416.
  29. David Huckebrink & Valentin Bertsch, 2021. "Integrating Behavioural Aspects in Energy System Modelling—A Review," Energies, MDPI, vol. 14(15), pages 1-26, July.
  30. William Clements & Surendra Pandit & Prashanna Bajracharya & Joe Butchers & Sam Williamson & Biraj Gautam & Paul Harper, 2021. "Techno-Economic Modelling of Micro-Hydropower Mini-Grids in Nepal to Improve Financial Sustainability and Enable Electric Cooking," Energies, MDPI, vol. 14(14), pages 1-23, July.
  31. Jebamalai, Joseph Maria & Marlein, Kurt & Laverge, Jelle, 2020. "Influence of centralized and distributed thermal energy storage on district heating network design," Energy, Elsevier, vol. 202(C).
  32. Good, Nicholas & Martínez Ceseña, Eduardo A. & Zhang, Lingxi & Mancarella, Pierluigi, 2016. "Techno-economic and business case assessment of low carbon technologies in distributed multi-energy systems," Applied Energy, Elsevier, vol. 167(C), pages 158-172.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.