Optimal planning of thermal energy systems in a microgrid with seasonal storage and piecewise affine cost functions
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DOI: 10.1016/j.energy.2020.119095
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- Xu, J. & Li, Y. & Wang, R.Z. & Liu, W., 2014. "Performance investigation of a solar heating system with underground seasonal energy storage for greenhouse application," Energy, Elsevier, vol. 67(C), pages 63-73.
- Pinel, Patrice & Cruickshank, Cynthia A. & Beausoleil-Morrison, Ian & Wills, Adam, 2011. "A review of available methods for seasonal storage of solar thermal energy in residential applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3341-3359, September.
- Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
- Ma, Zhiwei & Bao, Huashan & Roskilly, Anthony Paul, 2019. "Seasonal solar thermal energy storage using thermochemical sorption in domestic dwellings in the UK," Energy, Elsevier, vol. 166(C), pages 213-222.
- Köfinger, M. & Schmidt, R.R. & Basciotti, D. & Terreros, O. & Baldvinsson, I. & Mayrhofer, J. & Moser, S. & Tichler, R. & Pauli, H., 2018. "Simulation based evaluation of large scale waste heat utilization in urban district heating networks: Optimized integration and operation of a seasonal storage," Energy, Elsevier, vol. 159(C), pages 1161-1174.
- Launay, S. & Kadoch, B. & Le Métayer, O. & Parrado, C., 2019. "Analysis strategy for multi-criteria optimization: Application to inter-seasonal solar heat storage for residential building needs," Energy, Elsevier, vol. 171(C), pages 419-434.
- Renaldi, Renaldi & Friedrich, Daniel, 2017. "Multiple time grids in operational optimisation of energy systems with short- and long-term thermal energy storage," Energy, Elsevier, vol. 133(C), pages 784-795.
- Böhm, Hans & Lindorfer, Johannes, 2019. "Techno-economic assessment of seasonal heat storage in district heating with thermochemical materials," Energy, Elsevier, vol. 179(C), pages 1246-1264.
- Nahmmacher, Paul & Schmid, Eva & Hirth, Lion & Knopf, Brigitte, 2016. "Carpe diem: A novel approach to select representative days for long-term power system modeling," Energy, Elsevier, vol. 112(C), pages 430-442.
- Kotzur, Leander & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "Time series aggregation for energy system design: Modeling seasonal storage," Applied Energy, Elsevier, vol. 213(C), pages 123-135.
- Schütz, Thomas & Schiffer, Lutz & Harb, Hassan & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model," Applied Energy, Elsevier, vol. 185(P1), pages 1-15.
- Mehleri, E.D. & Sarimveis, H. & Markatos, N.C. & Papageorgiou, L.G., 2013. "Optimal design and operation of distributed energy systems: Application to Greek residential sector," Renewable Energy, Elsevier, vol. 51(C), pages 331-342.
- Stadler, M. & Groissböck, M. & Cardoso, G. & Marnay, C., 2014. "Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel," Applied Energy, Elsevier, vol. 132(C), pages 557-567.
- 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.
- Mashayekh, Salman & Stadler, Michael & Cardoso, Gonçalo & Heleno, Miguel, 2017. "A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids," Applied Energy, Elsevier, vol. 187(C), pages 154-168.
- Ciampi, Giovanni & Rosato, Antonio & Sibilio, Sergio, 2018. "Thermo-economic sensitivity analysis by dynamic simulations of a small Italian solar district heating system with a seasonal borehole thermal energy storage," Energy, Elsevier, vol. 143(C), pages 757-771.
- Li, Tingxian & Wang, Ruzhu & Kiplagat, Jeremiah K. & Kang, YongTae, 2013. "Performance analysis of an integrated energy storage and energy upgrade thermochemical solid–gas sorption system for seasonal storage of solar thermal energy," Energy, Elsevier, vol. 50(C), pages 454-467.
- Liu, Long & Zhu, Neng & Zhao, Jing, 2016. "Thermal equilibrium research of solar seasonal storage system coupling with ground-source heat pump," Energy, Elsevier, vol. 99(C), pages 83-90.
- Steen, David & Stadler, Michael & Cardoso, Gonçalo & Groissböck, Markus & DeForest, Nicholas & Marnay, Chris, 2015. "Modeling of thermal storage systems in MILP distributed energy resource models," Applied Energy, Elsevier, vol. 137(C), pages 782-792.
- Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
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- Muschick, D. & Zlabinger, S. & Moser, A. & Lichtenegger, K. & Gölles, M., 2022. "A multi-layer model of stratified thermal storage for MILP-based energy management systems," Applied Energy, Elsevier, vol. 314(C).
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- Akulker, Handan & Aydin, Erdal, 2023. "Optimal design and operation of a multi-energy microgrid using mixed-integer nonlinear programming: Impact of carbon cap and trade system and taxing on equipment selections," Applied Energy, Elsevier, vol. 330(PA).
- Liu, Fang & Mo, Qiu & Yang, Yongwen & Li, Pai & Wang, Shuai & Xu, Yanping, 2022. "A nonlinear model-based dynamic optimal scheduling of a grid-connected integrated energy system," Energy, Elsevier, vol. 243(C).
- Joel Alpízar-Castillo & Laura Ramirez-Elizondo & Pavol Bauer, 2022. "Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review," Energies, MDPI, vol. 16(1), pages 1-31, December.
- Saletti, Costanza & Morini, Mirko & Gambarotta, Agostino, 2022. "Smart management of integrated energy systems through co-optimization with long and short horizons," Energy, Elsevier, vol. 250(C).
- Feng, Songjie & Wei, Wei, 2024. "Hybrid energy storage sizing in energy hubs: A continuous spectrum splitting approach," Energy, Elsevier, vol. 300(C).
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Keywords
Thermal energy systems; Microgrids; Seasonal storage; MILP; Investment planning; Piecewise affine function;All these keywords.
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