IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v190y2017icp749-763.html
   My bibliography  Save this item

Spatial clustering for district heating integration in urban energy systems: Application to geothermal energy

Citations

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


Cited by:

  1. Ioannis Acheilas & Fransje Hooimeijer & Aksel Ersoy, 2020. "A Decision Support Tool for Implementing District Heating in Existing Cities, Focusing on Using a Geothermal Source," Energies, MDPI, vol. 13(11), pages 1-30, May.
  2. Sachs, Julia & Moya, Diego & Giarola, Sara & Hawkes, Adam, 2019. "Clustered spatially and temporally resolved global heat and cooling energy demand in the residential sector," Applied Energy, Elsevier, vol. 250(C), pages 48-62.
  3. Sandberg, Eli & Sneum, Daniel Møller & Trømborg, Erik, 2018. "Framework conditions for Nordic district heating - Similarities and differences, and why Norway sticks out," Energy, Elsevier, vol. 149(C), pages 105-119.
  4. Aunedi, Marko & Pantaleo, Antonio Marco & Kuriyan, Kamal & Strbac, Goran & Shah, Nilay, 2020. "Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems," Applied Energy, Elsevier, vol. 276(C).
  5. Wang, Yang & Zhang, Shanhong & Chow, David & Kuckelkorn, Jens M., 2021. "Evaluation and optimization of district energy network performance: Present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  6. Timo Kannengießer & Maximilian Hoffmann & Leander Kotzur & Peter Stenzel & Fabian Schuetz & Klaus Peters & Stefan Nykamp & Detlef Stolten & Martin Robinius, 2019. "Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System," Energies, MDPI, vol. 12(14), pages 1-27, July.
  7. Chen, Yixing & Hong, Tianzhen, 2018. "Impacts of building geometry modeling methods on the simulation results of urban building energy models," Applied Energy, Elsevier, vol. 215(C), pages 717-735.
  8. Li, Pei-Hao & Pye, Steve & Keppo, Ilkka, 2020. "Using clustering algorithms to characterise uncertain long-term decarbonisation pathways," Applied Energy, Elsevier, vol. 268(C).
  9. Jing, Rui & Wang, Meng & Liang, Hao & Wang, Xiaonan & Li, Ning & Shah, Nilay & Zhao, Yingru, 2018. "Multi-objective optimization of a neighborhood-level urban energy network: Considering Game-theory inspired multi-benefit allocation constraints," Applied Energy, Elsevier, vol. 231(C), pages 534-548.
  10. Maria Jebamalai, Joseph & Marlein, Kurt & Laverge, Jelle & Vandevelde, Lieven & van den Broek, Martijn, 2019. "An automated GIS-based planning and design tool for district heating: Scenarios for a Dutch city," Energy, Elsevier, vol. 183(C), pages 487-496.
  11. Wang, Wei & Jing, Rui & Zhao, Yingru & Zhang, Chuan & Wang, Xiaonan, 2020. "A load-complementarity combined flexible clustering approach for large-scale urban energy-water nexus optimization," Applied Energy, Elsevier, vol. 270(C).
  12. Giulia Spirito & Alice Dénarié & Fabrizio Fattori & Mario Motta & Samuel Macchi & Urban Persson, 2021. "Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano," Energies, MDPI, vol. 14(9), pages 1-30, May.
  13. 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.
  14. Meibodi, Saleh S. & Loveridge, Fleur, 2022. "The future role of energy geostructures in fifth generation district heating and cooling networks," Energy, Elsevier, vol. 240(C).
  15. Chambers, Jonathan & Zuberi, M.J.S. & Streicher, K.N. & Patel, Martin K., 2021. "Geospatial global sensitivity analysis of a heat energy service decarbonisation model of the building stock," Applied Energy, Elsevier, vol. 302(C).
  16. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
  17. Leurent, Martin & Da Costa, Pascal & Jasserand, Frédéric & Rämä, Miika & Persson, Urban, 2018. "Cost and climate savings through nuclear district heating in a French urban area," Energy Policy, Elsevier, vol. 115(C), pages 616-630.
  18. Weinand, Jann Michael & Kleinebrahm, Max & McKenna, Russell & Mainzer, Kai & Fichtner, Wolf, 2019. "Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  19. Leurent, Martin, 2019. "Analysis of the district heating potential in French regions using a geographic information system," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  20. Leurent, Martin & Da Costa, Pascal & Rämä, Miika & Persson, Urban & Jasserand, Frédéric, 2018. "Cost-benefit analysis of district heating systems using heat from nuclear plants in seven European countries," Energy, Elsevier, vol. 149(C), pages 454-472.
  21. Cristina Sáez Blázquez & Arturo Farfán Martín & Ignacio Martín Nieto & Diego González-Aguilera, 2018. "Economic and Environmental Analysis of Different District Heating Systems Aided by Geothermal Energy," Energies, MDPI, vol. 11(5), pages 1-17, May.
  22. Jing, Rui & Kuriyan, Kamal & Kong, Qingyuan & Zhang, Zhihui & Shah, Nilay & Li, Ning & Zhao, Yingru, 2019. "Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
  23. Best, Robert E. & Rezazadeh Kalehbasti, P. & Lepech, Michael D., 2020. "A novel approach to district heating and cooling network design based on life cycle cost optimization," Energy, Elsevier, vol. 194(C).
  24. Francesco Calise & Francesco L. Cappiello & Maria Vicidomini & Jian Song & Antonio M. Pantaleo & Suzan Abdelhady & Ahmed Shaban & Christos N. Markides, 2021. "Energy and Economic Assessment of Energy Efficiency Options for Energy Districts: Case Studies in Italy and Egypt," Energies, MDPI, vol. 14(4), pages 1-24, February.
  25. Jing, Rui & Wang, Meng & Zhang, Zhihui & Wang, Xiaonan & Li, Ning & Shah, Nilay & Zhao, Yingru, 2019. "Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  26. Fodstad, Marte & Crespo del Granado, Pedro & Hellemo, Lars & Knudsen, Brage Rugstad & Pisciella, Paolo & Silvast, Antti & Bordin, Chiara & Schmidt, Sarah & Straus, Julian, 2022. "Next frontiers in energy system modelling: A review on challenges and the state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  27. Weinand, J.M. & McKenna, R. & Fichtner, W., 2019. "Developing a municipality typology for modelling decentralised energy systems," Utilities Policy, Elsevier, vol. 57(C), pages 75-96.
  28. Chen, Yixing & Hong, Tianzhen & Piette, Mary Ann, 2017. "Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis," Applied Energy, Elsevier, vol. 205(C), pages 323-335.
  29. 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).
  30. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2022. "A review on the integration and optimization of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
  31. Daniilidis, Alexandros & Scholten, Tjardo & Hooghiem, Joram & De Persis, Claudio & Herber, Rien, 2017. "Geochemical implications of production and storage control by coupling a direct-use geothermal system with heat networks," Applied Energy, Elsevier, vol. 204(C), pages 254-270.
  32. Zhao, Shifei & Ge, Zhihua & He, Jie & Wang, Chunlan & Yang, Yongping & Li, Peifeng, 2017. "A novel mechanism for exhaust steam waste heat recovery in combined heat and power unit," Applied Energy, Elsevier, vol. 204(C), pages 596-606.
  33. Annette Steingrube & Keyu Bao & Stefan Wieland & Andrés Lalama & Pithon M. Kabiro & Volker Coors & Bastian Schröter, 2021. "A Method for Optimizing and Spatially Distributing Heating Systems by Coupling an Urban Energy Simulation Platform and an Energy System Model," Resources, MDPI, vol. 10(5), pages 1-19, May.
  34. Jensen, Jonas K. & Ommen, Torben & Markussen, Wiebke B. & Elmegaard, Brian, 2017. "Design of serially connected district heating heat pumps utilising a geothermal heat source," Energy, Elsevier, vol. 137(C), pages 865-877.
  35. Xu, Da & Bai, Ziyi & Jin, Xiaolong & Yang, Xiaodong & Chen, Shuangyin & Zhou, Ming, 2022. "A mean-variance portfolio optimization approach for high-renewable energy hub," Applied Energy, Elsevier, vol. 325(C).
  36. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.