Landlord–Tenant Dilemma: How Does the Conflict Affect the Design of Building Energy Systems?
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Braeuer, Fritz & Kleinebrahm, Max & Naber, Elias & Scheller, Fabian & McKenna, Russell, 2022. "Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law," Applied Energy, Elsevier, vol. 305(C).
- Taruttis, Lisa & Weber, Christoph, 2022. "Inefficient Markets for Energy Efficiency - Empirical Evidence from the German Rental Housing Market," VfS Annual Conference 2022 (Basel): Big Data in Economics 264056, Verein für Socialpolitik / German Economic Association.
- Lisa Taruttis & Christoph Weber, 2022. "Inefficient markets for energy efficiency - Empirical evidence from the German rental housing market," EWL Working Papers 2202, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Feb 2022.
- Schütz, Thomas & Schiffer, Lutz & Harb, Hassan & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model," Applied Energy, Elsevier, vol. 185(P1), pages 1-15.
- 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).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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).
- Li, Xiang & Yilmaz, Selin & Patel, Martin K. & Chambers, Jonathan, 2023. "Techno-economic analysis of fifth-generation district heating and cooling combined with seasonal borehole thermal energy storage," Energy, Elsevier, vol. 285(C).
- Barone, G. & Buonomano, A. & Cipolla, G. & Forzano, C. & Giuzio, G.F. & Russo, G., 2024. "Designing aggregation criteria for end-users integration in energy communities: Energy and economic optimisation based on hybrid neural networks models," Applied Energy, Elsevier, vol. 371(C).
- Martin, Rit & Arthur, Thomas & Jonathan, Villot & Mathieu, Thorel & Enora, Garreau & Robin, Girard, 2024. "SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives," Applied Energy, Elsevier, vol. 361(C).
- 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.
- 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.
- 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.
- Aleksejs Prozuments & Jurgis Zemitis & Aleksejs Bulanovs, 2023. "Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems," Energies, MDPI, vol. 16(22), pages 1-15, November.
- 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).
- 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).
- Oana Marin & Tudor Cioara & Ionut Anghel, 2023. "Blockchain Solution for Buildings’ Multi-Energy Flexibility Trading Using Multi-Token Standards," Future Internet, MDPI, vol. 15(5), pages 1-17, May.
- 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).
- 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).
- 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).
- Wang, Zixuan & Li, Peng & Zhou, Yue & Wu, Jianzhong & Zhang, Chunyan & Zeng, Pingliang & Wang, Jiahao & Pan, Youpeng & Yin, Yunxing, 2023. "Coordinated configuration strategy of multi-energy systems based on capacity-energy-information sharing," Energy, Elsevier, vol. 277(C).
- 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).
- Velkovski, Bodan & Gjorgievski, Vladimir Z. & Markovski, Blagoja & Cundeva, Snezana & Markovska, Natasa, 2024. "A framework for shared EV charging in residential renewable energy communities," Renewable Energy, Elsevier, vol. 231(C).
- 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).
- 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.
- 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.
More about this item
Keywords
landlord–tenant dilemma; renovation; multi-family houses; optimization; MILP;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:686-:d:1330482. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.