Abstract
In this paper we present a mathematical model for the generation expansion operations to optimize the performance of a Central Energy System (CES) system. To ensure that the proposed generation operations are compatible with the network, some extensions (or updates) of the existing network are considered as well. All these decisions are evaluated both from an economic viewpoint, using the objective function of the problem, and from an environmental perspective, as specific constraints related to GHG gases (measured in \(CO_2\)eq) emissions are imposed in the formulation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Guelpa, E., Bischi, A., Verda, V., Chertkov, M., Lund, H.: Towards future infrastructures for sustainable multi-energy systems: a review. Energy 184, 2–21 (2019)
Aghaebrahimi, M.R., Amani-Shandiz, V.: Application of battery-based energy storage in grid-connected wind farms in order to improve economical utilization. In: 2016 ICREDG, pages 84–91, 2016
Bischi, A., Taccari, L., Martelli, E., Amaldi, E., Manzolini, G., Silva, P., Campanari, S., Macchi, E.: A rolling-horizon optimization algorithm for the long term operational scheduling of cogeneration systems. Energy 184, 73–90 (2019)
Bordin, C., Anuta, H.O., Crossland, A., Gutierrez, I.L., Dent, C.J., Vigo, D.: A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration. Renew. Energy 101, 417–430 (2017)
Elsido, C.: Bischi, Aldo, Silva, Paolo, Martelli, Emanuele: Two-stage minlp algorithm for the optimal synthesis and design of networks of chp units. Energy 121, 403–426 (2017)
European Commission.: Clean Energy for All Europeans Package. Brussels (2019)
Franken, M., Barrios, H., Schrief, A.B., Moser, A.: Transmission expansion planning via power flow controlling technologies. IET Gener., Trans. Distrib. 14(17), 3530–3538
Hemmati, Reza, Hooshmand, Rahmat-Allah., Khodabakhshian, Amin: Comprehensive review of generation and transmission expansion planning. IET Gener., Trans. Distrib. 7(9), 955–964 (2013)
Hörsch, J., Ronellenfitsch, H., Witthaut, D. and Brown, T.: Linear optimal power flow using cycle flows. Electric Power Syst. Res. 158, 126–135 (2018)
Müller, C., Hoffrichter, A., Wyrwoll, L., Schmitt, C., Trageser, M., Kulms, T., Beulertz, D., Metzger, M., Duckheim, M., Huber, M., Küppers, M., Most, D., Paulus, S., Heger, H.J., Schnettler, A.: Modeling framework for planning and operation of multi-modal energy systems in the case of germany. Appl. Energy 250, 1132–1146 (2019)
Schwaeppe, H., Böttcher, L., Schumann, K., Hein, L., Hälsig, P., Thams, S., Lozano, P.B., Moser, A.: Analyzing intersectoral benefits of district heating in an integrated generation and transmission expansion planning model. Energies 15(7) (2022)
Schwaeppe, H., Moser, A., Paronuzzi, P., Monaci, M.: Generation and transmission expansion planning with respect to global warming potential. In: 2021 IEEE Madrid PowerTech, pp. 1–6 (2021)
Thie, N., Franken, M., Schwaeppe, H., Böttcher, L., Müller, C., Moser, A., Schumann, K., Vigo, D., Monaci, M., Paronuzzi, P. and Punzo, A., Pozzi, M., Gordini, A., Cakirer, K.B., Acan, B., Desideri, U., Bischi, A.: Requirements for integrated planning of multi-energy systems. In: 2020 6th IEEE International Energy Conference, pp. 696–701 (2020)
Acknowledgements
This research is part of the project PlaMES (Integrated Planning of Multi-Energy Systems). PlaMES has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 863922. The content of this publication reflects only the authors’ view. The European Climate, Infrastructure and Environment Executive Agency (CINEA) is not responsible for any use that may be made of the information it contains. Thanks are also due to two anonymous reviewers for their constructive comments and remarks.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Cordieri, S.A., Monaci, M., Paronuzzi, P., Schwaeppe, H. (2023). An LP Model for the Central Energy System. In: Cosmi, M., Peirano, L., Raffaele, A., Samà, M. (eds) Operations Research and Data Science in Public Services. AIROYoung 2022. AIRO Springer Series, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-031-34546-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-031-34546-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-34545-6
Online ISBN: 978-3-031-34546-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)