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Competition and synergy between energy technologies in municipal energy systems

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  • Bruckner, Th.
  • Groscurth, H.-M.
  • Kümmel, R.

Abstract

The dynamic energy optimization model deeco is a tool for analyzing competition and synergy between different technologies of the rational use of energy and for utilizing renewable energies. For given time series of the fluctuating heat and electricity demand, deeco calculates the optimal combination of energy-conversion technologies while taking into account local parameters like ambient temperature and insolation. Thus, the model provides a flexible instrument which may support investment decisions when building or restructing municipal energy systems. As an example, deeco was applied to a model city called Würzburg which is based on a real city of the same name located in southern Germany. Gas-fired, medium-size cogeneration units are found to be the best solution (30% primary energy and 2% cost savings) in a cost-benefit comparison with a system providing heat from conventional oil-fired boilers and receiving electricity from the inter-regional public grid. The influence of energy taxes on relative costs of different technologies is analyzed.

Suggested Citation

  • Bruckner, Th. & Groscurth, H.-M. & Kümmel, R., 1997. "Competition and synergy between energy technologies in municipal energy systems," Energy, Elsevier, vol. 22(10), pages 1005-1014.
    • Handle: RePEc:eee:energy:v:22:y:1997:i:10:p:1005-1014
    DOI: 10.1016/S0360-5442(97)00037-6
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    Cited by:

    1. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    2. Nils Korber & Maximilian Rohrig & Andreas Ulbig, 2022. "A stakeholder-oriented multi-criteria optimization model for decentral multi-energy systems," Papers 2204.06545, arXiv.org.
    3. Hu, Guangxiao & Ma, Xiaoming & Ji, Junping, 2019. "Scenarios and policies for sustainable urban energy development based on LEAP model – A case study of a postindustrial city: Shenzhen China," Applied Energy, Elsevier, vol. 238(C), pages 876-886.
    4. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    5. Scheller, Fabian & Burgenmeister, Balthasar & Kondziella, Hendrik & Kühne, Stefan & Reichelt, David G. & Bruckner, Thomas, 2018. "Towards integrated multi-modal municipal energy systems: An actor-oriented optimization approach," Applied Energy, Elsevier, vol. 228(C), pages 2009-2023.
    6. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2017. "Cost optimal urban energy systems planning in the context of national energy policies: A case study for the city of Basel," Energy Policy, Elsevier, vol. 110(C), pages 176-190.
    7. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    8. Kiani, Behdad & Hamamoto, Yoshiniro & Akisawa, Atsushi & Kashiwagi, Takao, 2004. "CO2 mitigating effects by waste heat utilization from industry sector to metropolitan areas," Energy, Elsevier, vol. 29(12), pages 2061-2075.
    9. Lindenberger, Dietmar & Bruckner, Thomas & Morrison, Robbie & Groscurth, Helmuth-M. & Kümmel, Reiner, 2004. "Modernization of local energy systems," Energy, Elsevier, vol. 29(2), pages 245-256.
    10. Hiremath, Rahul B. & Kumar, Bimlesh & Balachandra, P. & Ravindranath, N.H., 2010. "Bottom-up approach for decentralised energy planning: Case study of Tumkur district in India," Energy Policy, Elsevier, vol. 38(2), pages 862-874, February.
    11. Lindenberger, D & Bruckner, T & Groscurth, H.-M & Kümmel, R, 2000. "Optimization of solar district heating systems: seasonal storage, heat pumps, and cogeneration," Energy, Elsevier, vol. 25(7), pages 591-608.
    12. Kümmel, Reiner & Lindenberger, Dietmar & Weiser, Florian, 2015. "The economic power of energy and the need to integrate it with energy policy," Energy Policy, Elsevier, vol. 86(C), pages 833-843.
    13. Maghanki, Maryam Mohammadi & Ghobadian, Barat & Najafi, Gholamhassan & Galogah, Reza Janzadeh, 2013. "Micro combined heat and power (MCHP) technologies and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 510-524.
    14. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    15. Keirstead, James & Samsatli, Nouri & Shah, Nilay & Weber, Céline, 2012. "The impact of CHP (combined heat and power) planning restrictions on the efficiency of urban energy systems," Energy, Elsevier, vol. 41(1), pages 93-103.
    16. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
    17. Kassian T.T. Amesho & Emmanuel Innocents Edoun, 2019. "Financing Renewable Energy in Namibia - A Fundamental Key Challenge to the Sustainable Development Goal 7: Ensuring Access to Affordable, Reliable, Sustainable and Modern Energy for All," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 442-450.
    18. Chinese, Damiana & Meneghetti, Antonella, 2005. "Optimisation models for decision support in the development of biomass-based industrial district-heating networks in Italy," Applied Energy, Elsevier, vol. 82(3), pages 228-254, November.
    19. Bakken, Bjorn H. & Skjelbred, Hans I. & Wolfgang, Ove, 2007. "eTransport: Investment planning in energy supply systems with multiple energy carriers," Energy, Elsevier, vol. 32(9), pages 1676-1689.
    20. Sampaio, Henrique César & Dias, Rubens Alves & Balestieri, José Antônio Perrella, 2013. "Sustainable urban energy planning: The case study of a tropical city," Applied Energy, Elsevier, vol. 104(C), pages 924-935.
    21. Shimazaki, Yoichi, 2003. "Evaluation of refrigerating and air-conditioning technologies in heat cascading systems under the carbon dioxide emissions constraint: the proposal of the energy cascade balance table," Energy Policy, Elsevier, vol. 31(15), pages 1685-1697, December.
    22. Lindenberger, Dietmar & Kuemmel, Rainer, 2011. "Energy and the State of Nations," EWI Working Papers 2011-11, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    23. Cosme Segador-Vegas & Justo García-Sanz-Calcedo & Daniel Encinas-Martín, 2018. "Determination of the Energy Behaviour in Municipalities with Fewer than 6000 Inhabitants in Badajoz (Spain)," Energies, MDPI, vol. 11(9), pages 1-16, August.

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