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Energy planning and environmental management with the information and decision support system MESAP

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  • Christoph Schlenzig

Abstract

Sound energy and environmental accounting must be the basis of any strategic decision making in order to keep up with the increasing complexity of energy and environmental problems. Therefore, improvements in the data management of existing decision support tools become essential. MESAP, the Modular Energy System Analysis and Planning environment, integrates modern information management with existing operations research methodologies. The design principles are flexibility concerning structure and aggregation of the analysed system, modularity of the involved methodologies and user friendliness of the software. The essential aspect of MESAP is the standardisation of the data interface achieved through the separation of the database design from the mathematical modelling algorithms. The database is designed as a case study information system and can serve any process-engineering oriented energy system model. Today, MESAP is used at the local, regional and national level to perform energy and environmental management, demand side management, integrated resource planning, life cycle and fuel chain analysis.

Suggested Citation

  • Christoph Schlenzig, 1999. "Energy planning and environmental management with the information and decision support system MESAP," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 12(1/2/3/4/5), pages 81-91.
  • Handle: RePEc:ids:ijgeni:v:12:y:1999:i:1/2/3/4/5/6:p:81-91
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    Cited by:

    1. Tobias Naegler & Lisa Becker & Jens Buchgeister & Wolfgang Hauser & Heidi Hottenroth & Tobias Junne & Ulrike Lehr & Oliver Scheel & Ricarda Schmidt-Scheele & Sonja Simon & Claudia Sutardhio & Ingela T, 2021. "Integrated Multidimensional Sustainability Assessment of Energy System Transformation Pathways," Sustainability, MDPI, vol. 13(9), pages 1-28, May.
    2. Mirakyan, Atom & De Guio, Roland, 2013. "Integrated energy planning in cities and territories: A review of methods and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 289-297.
    3. Thomas Pregger & Tobias Naegler & Wolfgang Weimer-Jehle & Sigrid Prehofer & Wolfgang Hauser, 2020. "Moving towards socio-technical scenarios of the German energy transition—lessons learned from integrated energy scenario building," Climatic Change, Springer, vol. 162(4), pages 1743-1762, October.
    4. Sven Teske & Jaysson Guerrero, 2022. "One Earth Climate Model—Integrated Energy Assessment Model to Develop Industry-Specific 1.5 °C Pathways with High Technical Resolution for the Finance Sector," Energies, MDPI, vol. 15(9), pages 1-32, April.
    5. Tobias Junne & Sonja Simon & Jens Buchgeister & Maximilian Saiger & Manuel Baumann & Martina Haase & Christina Wulf & Tobias Naegler, 2020. "Environmental Sustainability Assessment of Multi-Sectoral Energy Transformation Pathways: Methodological Approach and Case Study for Germany," Sustainability, MDPI, vol. 12(19), pages 1-28, October.
    6. Xingyu Xiao & Jingang Liang & Jiejuan Tong & Haitao Wang, 2024. "Emergency Decision Support Techniques for Nuclear Power Plants: Current State, Challenges, and Future Trends," Energies, MDPI, vol. 17(10), pages 1-35, May.
    7. 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.
    8. Jürgen Kopfmüller & Wolfgang Weimer-Jehle & Tobias Naegler & Jens Buchgeister & Klaus-Rainer Bräutigam & Volker Stelzer, 2021. "Integrative Scenario Assessment as a Tool to Support Decisions in Energy Transition," Energies, MDPI, vol. 14(6), pages 1-34, March.
    9. Hottenroth, H. & Sutardhio, C. & Weidlich, A. & Tietze, I. & Simon, S. & Hauser, W. & Naegler, T. & Becker, L. & Buchgeister, J. & Junne, T. & Lehr, U. & Scheel, O. & Schmidt-Scheele, R. & Ulrich, P. , 2022. "Beyond climate change. Multi-attribute decision making for a sustainability assessment of energy system transformation pathways," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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