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Development of a Decision-Making Framework for Distributed Energy Systems in a German District

Author

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  • Lucas Schmeling

    (KEHAG Energiehandel GmbH/Im Technologiepark 4, 26129 Oldenburg, Germany
    DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Patrik Schönfeldt

    (DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Peter Klement

    (DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Steffen Wehkamp

    (OFFIS—Institute for Information Technology/Escherweg 2, 26121 Oldenburg, Germany)

  • Benedikt Hanke

    (DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Carsten Agert

    (DLR Institute of Networked Energy Systems/Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

Abstract

The planning and decision-making for a distributed energy supply concept in complex actor structures like in districts calls for the approach to be highly structured. Here, a strategy with strong use of energetic simulations is developed, the core elements are presented, and research gaps are identified. The exemplary implementation is shown using the case study of a new district on the former Oldenburg airbase in northwestern Germany. The process is divided into four consecutive phases, which are carried out with different stakeholder participation and use of different simulation tools. Based on a common objective, a superstructure of the applicable technologies is developed. Detailed planning is then carried out with the help of a multi-objective optimal sizing algorithm and Monte Carlo based risk assessment. The process ends with the operating phase, which is to guarantee a further optimal and dynamic mode of operation. The main objective of this publication is to present the core elements of the planning processes and decision-making framework based on the case study and to find and identify research gaps that will have to be addressed in the future.

Suggested Citation

  • Lucas Schmeling & Patrik Schönfeldt & Peter Klement & Steffen Wehkamp & Benedikt Hanke & Carsten Agert, 2020. "Development of a Decision-Making Framework for Distributed Energy Systems in a German District," Energies, MDPI, vol. 13(3), pages 1-22, January.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:552-:d:312380
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    References listed on IDEAS

    as
    1. Bo Tranberg & Olivier Corradi & Bruno Lajoie & Thomas Gibon & Iain Staffell & Gorm Bruun Andresen, 2018. "Real-Time Carbon Accounting Method for the European Electricity Markets," Papers 1812.06679, arXiv.org, revised May 2019.
    2. Gilboa, Itzhak & Rouziou, Maria & Sibony, Olivier, 2018. "Decision theory made relevant: Between the software and the shrink," Research in Economics, Elsevier, vol. 72(2), pages 240-250.
    3. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    4. Lund, Henrik & Munster, Ebbe, 2006. "Integrated energy systems and local energy markets," Energy Policy, Elsevier, vol. 34(10), pages 1152-1160, July.
    5. Luca Urbanucci & Francesco D’Ettorre & Daniele Testi, 2019. "A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage," Energies, MDPI, vol. 12(5), pages 1-17, March.
    6. Ali Bagheri & Peder Hjorth, 2007. "Planning for sustainable development: a paradigm shift towards a process-based approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 15(2), pages 83-96.
    7. Romero Rodríguez, Laura & Salmerón Lissén, José Manuel & Sánchez Ramos, José & Rodríguez Jara, Enrique Ángel & Álvarez Domínguez, Servando, 2016. "Analysis of the economic feasibility and reduction of a building’s energy consumption and emissions when integrating hybrid solar thermal/PV/micro-CHP systems," Applied Energy, Elsevier, vol. 165(C), pages 828-838.
    8. Hvelplund, Frede, 2006. "Renewable energy and the need for local energy markets," Energy, Elsevier, vol. 31(13), pages 2293-2302.
    9. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    10. Sorknæs, Peter & Lund, Henrik & Andersen, Anders N., 2015. "Future power market and sustainable energy solutions – The treatment of uncertainties in the daily operation of combined heat and power plants," Applied Energy, Elsevier, vol. 144(C), pages 129-138.
    11. Arnold, Uwe & Yildiz, Özgür, 2015. "Economic risk analysis of decentralized renewable energy infrastructures – A Monte Carlo Simulation approach," Renewable Energy, Elsevier, vol. 77(C), pages 227-239.
    12. Buoro, D. & Casisi, M. & De Nardi, A. & Pinamonti, P. & Reini, M., 2013. "Multicriteria optimization of a distributed energy supply system for an industrial area," Energy, Elsevier, vol. 58(C), pages 128-137.
    13. Guido C. Guerrero-Liquet & Juan Miguel Sánchez-Lozano & María Socorro García-Cascales & María Teresa Lamata & José Luis Verdegay, 2016. "Decision-Making for Risk Management in Sustainable Renewable Energy Facilities: A Case Study in the Dominican Republic," Sustainability, MDPI, Open Access Journal, vol. 8(5), pages 1-21, May.
    14. Fancello, Gianfranco & Carta, Michele & Fadda, Paolo, 2019. "Road intersections ranking for road safety improvement: Comparative analysis of multi-criteria decision making methods," Transport Policy, Elsevier, vol. 80(C), pages 188-196.
    15. Moser, Simon & Mayrhofer, Julia & Schmidt, Ralf-Roman & Tichler, Robert, 2018. "Socioeconomic cost-benefit-analysis of seasonal heat storages in district heating systems with industrial waste heat integration," Energy, Elsevier, vol. 160(C), pages 868-874.
    16. Annabelle Glaize & Alejandra Duenas & Christine Di Martinelly & Isabelle Fagnot, 2019. "Healthcare decision-making applications using multicriteria decision analysis: A scoping review," Post-Print hal-02114521, HAL.
    17. Kutaiba Sabah Nimma & Monaaf D. A. Al-Falahi & Hung Duc Nguyen & S. D. G. Jayasinghe & Thair S. Mahmoud & Michael Negnevitsky, 2018. "Grey Wolf Optimization-Based Optimum Energy-Management and Battery-Sizing Method for Grid-Connected Microgrids," Energies, MDPI, vol. 11(4), pages 1-27, April.
    18. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    19. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    20. Soroudi, Alireza & Amraee, Turaj, 2013. "Decision making under uncertainty in energy systems: State of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 376-384.
    21. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    22. Majidi, M. & Mohammadi-Ivatloo, B. & Soroudi, A., 2019. "Application of information gap decision theory in practical energy problems: A comprehensive review," Applied Energy, Elsevier, vol. 249(C), pages 157-165.
    23. Carvalho, Monica & Lozano, Miguel A. & Serra, Luis M., 2012. "Multicriteria synthesis of trigeneration systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 91(1), pages 245-254.
    24. Sahabmanesh, Aref & Saboohi, Yadollah, 2017. "Model of sustainable development of energy system, case of Hamedan," Energy Policy, Elsevier, vol. 104(C), pages 66-79.
    25. repec:gam:jsusta:v:8:y:2016:i:5:p:455:d:69643 is not listed on IDEAS
    26. Akbari, Kaveh & Jolai, Fariborz & Ghaderi, Seyed Farid, 2016. "Optimal design of distributed energy system in a neighborhood under uncertainty," Energy, Elsevier, vol. 116(P1), pages 567-582.
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    1. Steffen Wehkamp & Lucas Schmeling & Lena Vorspel & Fabian Roelcke & Kai-Lukas Windmeier, 2020. "District Energy Systems: Challenges and New Tools for Planning and Evaluation," Energies, MDPI, Open Access Journal, vol. 13(11), pages 1-20, June.
    2. Mathias Lanezki & Catharina Siemer & Steffen Wehkamp, 2020. "“Changing the Game—Neighbourhood”: An Energy Transition Board Game, Developed in a Co-Design Process: A Case Study," Sustainability, MDPI, Open Access Journal, vol. 12(24), pages 1-18, December.
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