IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v185y2017ip1p1-15.html
   My bibliography  Save this item

Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model

Citations

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


Cited by:

  1. Liu, Xinyao & Bierkens, Floris & De Mel, Ishanki & Leach, Matthew & Short, Michael & Chitnis, Mona & Zheng, Boyue & Liu, Lirong, 2024. "Tackling fuel poverty and decarbonisation in a distributed heating system through a three-layer whole system approach," Applied Energy, Elsevier, vol. 362(C).
  2. Schütz, Thomas & Schraven, Markus Hans & Fuchs, Marcus & Remmen, Peter & Müller, Dirk, 2018. "Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis," Renewable Energy, Elsevier, vol. 129(PA), pages 570-582.
  3. Domenig, Christoph & Scheller, Fabian & Gunkel, Phillipp Andreas & Hermann, Julian & Bergaentzlé, Claire-Marie & Lopes, Marta A.R. & Barnes, Jake & McKenna, Russell, 2024. "Overcoming the landlord–tenant dilemma: A techno-economic assessment of collective self-consumption for European multi-family buildings," Energy Policy, Elsevier, vol. 189(C).
  4. Raluca Suciu & Paul Stadler & Ivan Kantor & Luc Girardin & François Maréchal, 2019. "Systematic Integration of Energy-Optimal Buildings With District Networks," Energies, MDPI, vol. 12(15), pages 1-38, July.
  5. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
  6. Massimiliano Manfren & Karla M. Gonzalez-Carreon & Patrick A. B. James, 2024. "Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps," Energies, MDPI, vol. 17(4), pages 1-22, February.
  7. Shu-Long Luo & Xing Shi & Feng Yang, 2024. "A Review of Data-Driven Methods in Building Retrofit and Performance Optimization: From the Perspective of Carbon Emission Reductions," Energies, MDPI, vol. 17(18), pages 1-33, September.
  8. Pérez-Iribarren, E. & González-Pino, I. & Azkorra-Larrinaga, Z. & Gómez-Arriarán, I., 2020. "Optimal design and operation of thermal energy storage systems in micro-cogeneration plants," Applied Energy, Elsevier, vol. 265(C).
  9. Pöstges, Arne & Weber, Christoph, 2023. "Identifying key elements for adequate simplifications of investment choices – The case of wind energy expansion," Energy Economics, Elsevier, vol. 120(C).
  10. Kotzur, Leander & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "Time series aggregation for energy system design: Modeling seasonal storage," Applied Energy, Elsevier, vol. 213(C), pages 123-135.
  11. Wang, Meng & Yu, Hang & Yang, Yikun & Lin, Xiaoyu & Guo, Haijin & Li, Chaoen & Zhou, Yue & Jing, Rui, 2021. "Unlocking emerging impacts of carbon tax on integrated energy systems through supply and demand co-optimization," Applied Energy, Elsevier, vol. 302(C).
  12. Schütz, Thomas & Schraven, Markus Hans & Remy, Sebastian & Granacher, Julia & Kemetmüller, Dominik & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units for residential buildings considering German market conditions," Energy, Elsevier, vol. 139(C), pages 895-915.
  13. Leprince, Julien & Schledorn, Amos & Guericke, Daniela & Dominkovic, Dominik Franjo & Madsen, Henrik & Zeiler, Wim, 2023. "Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities," Applied Energy, Elsevier, vol. 348(C).
  14. Olympios, Andreas V. & Kourougianni, Fanourios & Arsalis, Alexandros & Papanastasiou, Panos & Pantaleo, Antonio M. & Markides, Christos N. & Georghiou, George E., 2024. "A holistic framework for the optimal design and operation of electricity, heating, cooling and hydrogen technologies in buildings," Applied Energy, Elsevier, vol. 370(C).
  15. Mansoor, Muhammad & Stadler, Michael & Zellinger, Michael & Lichtenegger, Klaus & Auer, Hans & Cosic, Armin, 2021. "Optimal planning of thermal energy systems in a microgrid with seasonal storage and piecewise affine cost functions," Energy, Elsevier, vol. 215(PA).
  16. Teichgraeber, Holger & Lindenmeyer, Constantin P. & Baumgärtner, Nils & Kotzur, Leander & Stolten, Detlef & Robinius, Martin & Bardow, André & Brandt, Adam R., 2020. "Extreme events in time series aggregation: A case study for optimal residential energy supply systems," Applied Energy, Elsevier, vol. 275(C).
  17. Aurora Greta Ruggeri & Laura Gabrielli & Massimiliano Scarpa, 2020. "Energy Retrofit in European Building Portfolios: A Review of Five Key Aspects," Sustainability, MDPI, vol. 12(18), pages 1-38, September.
  18. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
  19. Cascone, Ylenia & Capozzoli, Alfonso & Perino, Marco, 2018. "Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates," Applied Energy, Elsevier, vol. 211(C), pages 929-953.
  20. Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).
  21. Larissa Kühn & Nico Fuchs & Lars Braun & Laura Maier & Dirk Müller, 2024. "Landlord–Tenant Dilemma: How Does the Conflict Affect the Design of Building Energy Systems?," Energies, MDPI, vol. 17(3), pages 1-27, January.
  22. Wu, Raphael & Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2017. "Multiobjective optimisation of energy systems and building envelope retrofit in a residential community," Applied Energy, Elsevier, vol. 190(C), pages 634-649.
  23. Richarz, Jan & Henn, Sarah & Osterhage, Tanja & Müller, Dirk, 2022. "Optimal scheduling of modernization measures for typical non-residential buildings," Energy, Elsevier, vol. 238(PA).
  24. Marlene Ofelia Sanchez-Escobar & Julieta Noguez & Jose Martin Molina-Espinosa & Rafael Lozano-Espinosa & Genoveva Vargas-Solar, 2021. "The Contribution of Bottom-Up Energy Models to Support Policy Design of Electricity End-Use Efficiency for Residential Buildings and the Residential Sector: A Systematic Review," Energies, MDPI, vol. 14(20), pages 1-28, October.
  25. Marlene Ofelia Sanchez-Escobar & Julieta Noguez & Jose Martin Molina-Espinosa & David Escobar-Castillejos & Sergio Ruiz-Loza, 2023. "Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings," Energies, MDPI, vol. 16(19), pages 1-39, September.
  26. Miglani, Somil & Orehounig, Kristina & Carmeliet, Jan, 2018. "Integrating a thermal model of ground source heat pumps and solar regeneration within building energy system optimization," Applied Energy, Elsevier, vol. 218(C), pages 78-94.
  27. Arne Pöstges & Christoph Weber, "undated". "Identifying key elements for adequate simplifications of investment choices - The case of wind energy expansion," EWL Working Papers 2101, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
  28. Iturriaga, E. & Aldasoro, U. & Terés-Zubiaga, J. & Campos-Celador, A., 2018. "Optimal renovation of buildings towards the nearly Zero Energy Building standard," Energy, Elsevier, vol. 160(C), pages 1101-1114.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.