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Developing novel 5th generation district energy networks

Author

Listed:
  • Revesz, Akos
  • Jones, Phil
  • Dunham, Chris
  • Davies, Gareth
  • Marques, Catarina
  • Matabuena, Rodrigo
  • Scott, Jim
  • Maidment, Graeme

Abstract

Integrated smartly controlled energy networks have the potential to deliver significant reductions in carbon emissions, improve air quality and reduce energy costs for end-users across the world. This paper introduces a novel methodology for the development of integrated thermal, power and mobility 5th generation (5G) smart energy networks. The proposed 5G concept builds on state of the art by connecting flexible electricity demands such as heat pumps, and electric vehicles to intermittent, renewable and secondary energy sources and storage using artificial intelligence to facilitate optimal control and to maximise revenue and carbon savings. The proposed innovative method is being applied in central London through the development of two independent 5G smart energy schemes. The proposed schemes will incorporate a range of different renewables and secondary energy sources, for example, waste heat from local data centres and the London Underground that will supply a large proportion of the energy demand of the overall district network capacity. Both networks will operate at close to ambient temperature, approximately 15–25 °C as a so-called ‘ambient loop’ system, with individual heat pumps for each end-user or building connected to the network. The system also integrates thermal and electrical storage to create additional flexibility for the network and smart control for demand-side management. A smart management system flexibly controls individual assets such as heat pumps and electric vehicles in response to price signals reflecting the intermittency of renewable energy sources on the electricity grid. The ambient district thermal loop will distribute low carbon energy to a range of end users. Results presented in this paper provide an understanding of capital costs associated with integrated smart energy systems and the relative performance of individual technologies in a complex system using a techno-economic modelling approach. Overall, this paper demonstrates that the implementation of the 5G concept results in lower energy costs to consumers while at the same time transforming a large existing urban area to a near zero-carbon energy system in terms of heating, cooling, electricity and transport.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:201:y:2020:i:c:s0360544220304965
    DOI: 10.1016/j.energy.2020.117389
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    1. Kauko, Hanne & Kvalsvik, Karoline Husevåg & Rohde, Daniel & Nord, Natasa & Utne, Åmund, 2018. "Dynamic modeling of local district heating grids with prosumers: A case study for Norway," Energy, Elsevier, vol. 151(C), pages 261-271.
    2. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Mohammed, Mohd Fayzul & Ramli, Makbul A.M., 2020. "Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq," Energy, Elsevier, vol. 191(C).
    3. Anna Wallsten & Vasilis Galis, 2019. "The discreet charm of activeness: the vain construction of efficient smart grid users," Journal of Cultural Economy, Taylor & Francis Journals, vol. 12(6), pages 571-589, November.
    4. Nwulu, Nnamdi I. & Xia, Xiaohua, 2017. "Optimal dispatch for a microgrid incorporating renewables and demand response," Renewable Energy, Elsevier, vol. 101(C), pages 16-28.
    5. David Drysdale & Brian Vad Mathiesen & Henrik Lund, 2019. "From Carbon Calculators to Energy System Analysis in Cities," Energies, MDPI, vol. 12(12), pages 1-21, June.
    6. Volkova, Anna & Krupenski, Igor & Pieper, Henrik & Ledvanov, Aleksandr & Latõšov, Eduard & Siirde, Andres, 2019. "Small low-temperature district heating network development prospects," Energy, Elsevier, vol. 178(C), pages 714-722.
    7. Andersen, Anders N. & Østergaard, Poul Alberg, 2019. "Analytic versus solver-based calculated daily operations of district energy plants," Energy, Elsevier, vol. 175(C), pages 333-344.
    8. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    9. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    10. Guelpa, Elisa & Marincioni, Ludovica, 2019. "Demand side management in district heating systems by innovative control," Energy, Elsevier, vol. 188(C).
    11. Ivan Pavić & Zora Luburić & Hrvoje Pandžić & Tomislav Capuder & Ivan Andročec, 2019. "Defining and Evaluating Use Cases for Battery Energy Storage Investments: Case Study in Croatia," Energies, MDPI, vol. 12(3), pages 1-23, January.
    12. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
    13. Nord, Natasa & Løve Nielsen, Elise Kristine & Kauko, Hanne & Tereshchenko, Tymofii, 2018. "Challenges and potentials for low-temperature district heating implementation in Norway," Energy, Elsevier, vol. 151(C), pages 889-902.
    14. Lygnerud, Kristina & Werner, Sven, 2018. "Risk assessment of industrial excess heat recovery in district heating systems," Energy, Elsevier, vol. 151(C), pages 430-441.
    15. Guelpa, Elisa & Marincioni, Ludovica & Deputato, Stefania & Capone, Martina & Amelio, Stefano & Pochettino, Enrico & Verda, Vittorio, 2019. "Demand side management in district heating networks: A real application," Energy, Elsevier, vol. 182(C), pages 433-442.
    16. Pelda, Johannes & Holler, Stefan, 2019. "Spatial distribution of the theoretical potential of waste heat from sewage: A statistical approach," Energy, Elsevier, vol. 180(C), pages 751-762.
    17. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    18. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    19. Sorknæs, P. & Lund, Henrik & Skov, I.R. & Djørup, S. & Skytte, K. & Morthorst, P.E. & Fausto, F., 2020. "Smart Energy Markets - Future electricity, gas and heating markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
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