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LAEND: A Model for Multi-Objective Investment Optimisation of Residential Quarters Considering Costs and Environmental Impacts

Author

Listed:
  • Ingela Tietze

    (Institute for Industrial Ecology (INEC), Pforzheim University, Tiefenbronner Str. 65, D-75175 Pforzheim, Germany)

  • Lukas Lazar

    (Institute for Industrial Ecology (INEC), Pforzheim University, Tiefenbronner Str. 65, D-75175 Pforzheim, Germany)

  • Heidi Hottenroth

    (Institute for Industrial Ecology (INEC), Pforzheim University, Tiefenbronner Str. 65, D-75175 Pforzheim, Germany)

  • Steffen Lewerenz

    (Institute for Industrial Ecology (INEC), Pforzheim University, Tiefenbronner Str. 65, D-75175 Pforzheim, Germany)

Abstract
Renewable energy systems are especially challenging both in terms of planning and operation. Energy system models that take into account not only the costs but also a wide range of environmental impacts support holistic planning. In this way, burden-shifting caused by greenhouse gas mitigation can be identified and minimised at an early stage. The Life cycle Assessment based ENergy Decision support tool LAEND combines a multi-criteria optimising tool for energy system modelling and an integrated environmental assessment for the analysis of decentral systems. By a single or multi-objective optimisation, considering costs, environmental impact indicators as well as weighted impact indicator sets, the model enables the determination of optimal investment planning and dispatch of the analysed energy system. The application of LAEND to an exemplary residential quarter shows the benefit of the model regarding the identification of conflicting goals and of a system that compensates for the different objectives. The observed shift of environmental impacts from the use phase to the production phase of the renewable electricity generators points further to the importance of the integration of the entire life cycle.

Suggested Citation

  • Ingela Tietze & Lukas Lazar & Heidi Hottenroth & Steffen Lewerenz, 2020. "LAEND: A Model for Multi-Objective Investment Optimisation of Residential Quarters Considering Costs and Environmental Impacts," Energies, MDPI, vol. 13(3), pages 1-22, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:614-:d:315201
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    References listed on IDEAS

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    Cited by:

    1. Alicja Stoltmann, 2020. "Hybrid Multi-Criteria Method of Analyzing the Location of Distributed Renewable Energy Sources," Energies, MDPI, vol. 13(16), pages 1-22, August.
    2. Finke, Jonas & Bertsch, Valentin, 2023. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," Applied Energy, Elsevier, vol. 332(C).
    3. Finke, Jonas & Bertsch, Valentin, 2022. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," MPRA Paper 115504, University Library of Munich, Germany.
    4. Tobias Junne & Karl-Kiên Cao & Kim Kira Miskiw & Heidi Hottenroth & Tobias Naegler, 2021. "Considering Life Cycle Greenhouse Gas Emissions in Power System Expansion Planning for Europe and North Africa Using Multi-Objective Optimization," Energies, MDPI, vol. 14(5), pages 1-26, February.

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