A New Method for the Techno-Economic Analysis and the Identification of Expansion Strategies of Neutral-Temperature District Heating and Cooling Systems
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Revesz, Akos & Jones, Phil & Dunham, Chris & Davies, Gareth & Marques, Catarina & Matabuena, Rodrigo & Scott, Jim & Maidment, Graeme, 2020. "Developing novel 5th generation district energy networks," Energy, Elsevier, vol. 201(C).
- Welsch, Bastian & Göllner-Völker, Laura & Schulte, Daniel O. & Bär, Kristian & Sass, Ingo & Schebek, Liselotte, 2018. "Environmental and economic assessment of borehole thermal energy storage in district heating systems," Applied Energy, Elsevier, vol. 216(C), pages 73-90.
- Ma, Weiwu & Fang, Song & Liu, Gang & Zhou, Ruoyu, 2017. "Modeling of district load forecasting for distributed energy system," Applied Energy, Elsevier, vol. 204(C), pages 181-205.
- Renaldi, Renaldi & Friedrich, Daniel, 2019. "Techno-economic analysis of a solar district heating system with seasonal thermal storage in the UK," Applied Energy, Elsevier, vol. 236(C), pages 388-400.
- Wirtz, Marco & Kivilip, Lukas & Remmen, Peter & Müller, Dirk, 2020. "5th Generation District Heating: A novel design approach based on mathematical optimization," Applied Energy, Elsevier, vol. 260(C).
- Hermansen, Rune & Smith, Kevin & Thorsen, Jan Eric & Wang, Jiawei & Zong, Yi, 2022. "Model predictive control for a heat booster substation in ultra low temperature district heating systems," Energy, Elsevier, vol. 238(PA).
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.- Mengting Jiang & Camilo Rindt & David M. J. Smeulders, 2022. "Optimal Planning of Future District Heating Systems—A Review," Energies, MDPI, vol. 15(19), pages 1-38, September.
- Guo, Yurun & Wang, Shugang & Wang, Jihong & Zhang, Tengfei & Ma, Zhenjun & Jiang, Shuang, 2024. "Key district heating technologies for building energy flexibility: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
- Buonomano, A. & Forzano, C. & Mongibello, L. & Palombo, A. & Russo, G., 2024. "Optimising low-temperature district heating networks: A simulation-based approach with experimental verification," Energy, Elsevier, vol. 304(C).
- Brunt, Nicholas & Duquette, Jean & O'Brien, William, 2023. "Techno-economic and environmental performance of two state-of-the-art solar-assisted district energy system topologies," Energy, Elsevier, vol. 276(C).
- Hemmatabady, Hoofar & Welsch, Bastian & Formhals, Julian & Sass, Ingo, 2022. "AI-based enviro-economic optimization of solar-coupled and standalone geothermal systems for heating and cooling," Applied Energy, Elsevier, vol. 311(C).
- Wirtz, Marco, 2023. "nPro: A web-based planning tool for designing district energy systems and thermal networks," Energy, Elsevier, vol. 268(C).
- Selva Calixto & Marco Cozzini & Giampaolo Manzolini, 2021. "Modelling of an Existing Neutral Temperature District Heating Network: Detailed and Approximate Approaches," Energies, MDPI, vol. 14(2), pages 1-16, January.
- Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
- Gudmundsson, Oddgeir & Schmidt, Ralf-Roman & Dyrelund, Anders & Thorsen, Jan Eric, 2022. "Economic comparison of 4GDH and 5GDH systems – Using a case study," Energy, Elsevier, vol. 238(PA).
- Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
- Millar, Michael-Allan & Yu, Zhibin & Burnside, Neil & Jones, Greg & Elrick, Bruce, 2021. "Identification of key performance indicators and complimentary load profiles for 5th generation district energy networks," Applied Energy, Elsevier, vol. 291(C).
- Guo, Fang & Zhu, Xiaoyue & Zhang, Junyue & Yang, Xudong, 2020. "Large-scale living laboratory of seasonal borehole thermal energy storage system for urban district heating," Applied Energy, Elsevier, vol. 264(C).
- Hoofar Hemmatabady & Julian Formhals & Bastian Welsch & Daniel Otto Schulte & Ingo Sass, 2020. "Optimized Layouts of Borehole Thermal Energy Storage Systems in 4th Generation Grids," Energies, MDPI, vol. 13(17), pages 1-26, August.
- Tomc, Urban & Nosan, Simon & Vidrih, Boris & Bogić, Simon & Navickaite, Kristina & Vozel, Katja & Bobič, Miha & Kitanovski, Andrej, 2024. "Small demonstrator of a thermoelectric heat-pump booster for an ultra-low-temperature district-heating substation," Applied Energy, Elsevier, vol. 361(C).
- Quirosa, Gonzalo & Torres, Miguel & Chacartegui, Ricardo, 2022. "Analysis of the integration of photovoltaic excess into a 5th generation district heating and cooling system for network energy storage," Energy, Elsevier, vol. 239(PC).
- Abdelsalam, Mohamed Y. & Friedrich, Kelton & Mohamed, Saber & Chebeir, Jorge & Lakhian, Vickram & Sullivan, Brendan & Abdalla, Ahmed & Van Ryn, Jessica & Girard, Jeffrey & Lightstone, Marilyn F. & Buc, 2023. "Integrated community energy and harvesting systems: A climate action strategy for cold climates," Applied Energy, Elsevier, vol. 346(C).
- Gianni Martinazzoli & Daniele Pasinelli & Adriano Maria Lezzi & Mariagrazia Pilotelli, 2023. "Design of a 5th Generation District Heating Substation Prototype for a Real Case Study," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
- Abugabbara, Marwan & Javed, Saqib & Johansson, Dennis, 2022. "A simulation model for the design and analysis of district systems with simultaneous heating and cooling demands," Energy, Elsevier, vol. 261(PA).
- Angelidis, O. & Ioannou, A. & Friedrich, D. & Thomson, A. & Falcone, G., 2023. "District heating and cooling networks with decentralised energy substations: Opportunities and barriers for holistic energy system decarbonisation," Energy, Elsevier, vol. 269(C).
- Simone Buffa & Anton Soppelsa & Mauro Pipiciello & Gregor Henze & Roberto Fedrizzi, 2020. "Fifth-Generation District Heating and Cooling Substations: Demand Response with Artificial Neural Network-Based Model Predictive Control," Energies, MDPI, vol. 13(17), pages 1-25, August.
More about this item
Keywords
neutral-temperature district heating and cooling; techno-economic model; knapsack algorithm; transition pathways; network expansion scenarios; energy planning;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:9:p:2159-:d:1387152. 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.