Distributed polygeneration has been regarded as one of the leading solutions for the future energy production that features in enhanced reliability, high efficiency, economic competitiveness, and low-carbon emission. Unlike conventional centralized energy systems, polygeneration typically recovers otherwise wasted energy and supplies coupled multi-energies to end users simultaneously, which however cause difficulties in meeting temporally variable energy demands of end users. On the other hand, energy storage is also gaining rising attention across the world, especially in the context of future energy systems with a high portfolio of renewables. The underlying rationale rests in the extra flexibility provided by energy storage at the temporal dimension. Plenty of storage dispatch strategies such as load following, load shifting, and renewable integration have been proposed and investigated by a great number of researches, but mostly focus on grid-interactive applications in electric energy systems. Inspired by the success in electric energy systems, energy storage may provide effective solutions to the challenges with respect to polygeneration, especially trigeneration systems, by decoupling energy generation and consumption in forms of multiple energy carriers. However, multiple key questions are yet fully understood for planning storage-integrated trigeneration systems. The present study aims to answer the following questions: (i) what roles of energy storage are going to play in trigeneration system? And (ii) how would energy storage affect the performance of trigeneration systems? A self-coded trigeneration system planning model is developed via Phython programming to optimize capacities of different devices in the trigeneration system by taking into account a range of proposed storage dispatch strategies to meet variable multi-energy demands of several typical end users (i.e., community, industrial, and commercial users). The effects of the energy storage on the performance of the trigeneration system are investigated in terms of system’s efficiencies and economics. The underlying mechanisms of the energy storage affecting the system’s efficiencies and economics are also explored based on the feasibility region analysis and wasted energy analysis.


Economic Analysis of Trigeneration Systems Considering Participations of Energy Storage

Division / Sponsors: 
Power Division & Nuclear Engineering Division (NED)

Power Conference
Paper Proceedings: https://asmedigitalcollection.asme.org/POWER/POWER2020/volume/83747

International Conference on Nuclear Engineering
Paper Proceedings: https://asmedigitalcollection.asme.org/ICONE/ICONE2020/volume/83761

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