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Modernization of local energy systems

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  • Lindenberger, Dietmar
  • Bruckner, Thomas
  • Morrison, Robbie
  • Groscurth, Helmuth-M.
  • Kümmel, Reiner

Abstract

This paper analyzes modernization options for a local energy system, including both demand reduction and supply-related measures. The high-resolution optimization model deeco (dynamic energy, emission, and cost optimization) is extended by developing techniques to support conventional insulation measures, transparent insulation, and switchable transparent insulation. Supply-side technologies include gas-fired boilers, heat pumps, solar collectors, and the cogeneration of heat and electricity. Compared to common practice comprising oil-fired boilers and public grid electricity, gas-fired cogeneration is a favorable option, although sensitive to electricity tariffs. Given the current prices of fossil fuels, extensive retrofitted thermal insulation would reduce CO2-equivalent emissions by about 20% and increase overall costs by 25%.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:29:y:2004:i:2:p:245-256
    DOI: 10.1016/S0360-5442(03)00063-X
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    References listed on IDEAS

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    1. 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.
    2. Groscurth, H.-M. & Bruckner, Th. & Kümmel, R., 1995. "Modeling of energy-services supply systems," Energy, Elsevier, vol. 20(9), pages 941-958.
    3. 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.
    Full references (including those not matched with items on IDEAS)

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    2. David Rehak & Simona Slivkova & Heidi Janeckova & Dominika Stuberova & Martin Hromada, 2022. "Strengthening Resilience in the Energy Critical Infrastructure: Methodological Overview," Energies, MDPI, vol. 15(14), pages 1-14, July.
    3. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    4. 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.
    5. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza & Hashim, Haslenda, 2011. "Progress and challenges in utilization of palm oil biomass as fuel for decentralized electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 574-583, January.
    6. 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.
    7. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.

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