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| Home > Publications database > RiSES3: Rigorous Synthesis of Energy Supply and Storage Systems via time-series relaxation and aggregation |
| Home > Publications database > RiSES3: Rigorous Synthesis of Energy Supply and Storage Systems via time-series relaxation and aggregation |
| Journal Article | FZJ-2020-02322 |
; ; ;
2019
Elsevier Science
Amsterdam [u.a.]
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Please use a persistent id in citations: doi:10.1016/j.compchemeng.2019.02.006
Abstract: Synthesis of energy systems is a complex task typically depending on multiple large time series for demands, prices and resources. Problem complexity increases further by time-coupling constraints, e.g., due to storage systems. To still efficiently solve complex synthesis problems, we propose the rigorous synthesis method RiSES3. RiSES3 provides feasible solutions (upper bounds) with known quality (lower bounds). Lower bounds are obtained by two competitive approaches: linear-programming relaxation and relaxation based on time-series aggregation. To obtain a feasible design for the energy system, we use time-series aggregation and subsequently solve an operational problem yielding an upper bound. To tighten the bounds, we iteratively increase the resolution of the time-series aggregation and tighten the relaxation. RiSES3 is applied to two industrial synthesis problems of energy systems with time-coupling constraints, storage systems and volatile prices. RiSES3 shows fast convergence, outperforming a commercial state-of-the-art solver.
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