Model validation and control strategy of a heat recovery system integrated in a renewable hybrid power plant demonstrator

Bonilla, Javier; Roca, Lídia

doi:10.1016/j.solener.2018.10.076

Cited by 3 publications

(2 citation statements)

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“…The topic of selecting optimally controlled variables in HENs was further analyzed by Jin et al [22] to maximize the heat exchange amount. Bonilla and Roca [23] developed and experimentally tested a PI control loop for heat recovery from gas turbine exhaust gas, supplying a molten salt TES used in a renewable hybrid power plant. Schumm et al [24] considered hot water and steam mixing as a part of heat integration and recovery of low-temperature surplus heat in a cheese and whey powder plant, and developed a logic-based control scheme for the hybrid heat supply.…”

Section: Related Work and Main Contributionmentioning

confidence: 99%

An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters

2019

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Industrial plants organized in clusters may improve their economics and energy efficiency by exchanging and utilizing surplus heat. However, integrating inherently dynamic processes and highly time-varying surplus-heat supplies and demands is challenging. To this end, a structured optimization and control framework may significantly improve inter-plant surplus-heat valorization. We present a Modelica-based systems model and optimal-control scheme for surplus-heat exchange in industrial clusters. An industry-cluster operator is assumed to coordinate and control the surplus-heat exchange infrastructure and responsible for handling the surplus heat and satisfy the sink plants’ heat demands. As a case study, we use an industry cluster consisting of two plants with surplus heat available and two plants with heat demand. The total surplus heat and heat demand are equal, but the availability and demand are highly asynchronous. By optimally utilizing demand predictions and a thermal energy storage (TES) unit, the operator is able to supply more than 98% of the deficit heat as surplus heat from the plants in the industry cluster, while only 77% in a corresponding case without TES. We argue that the proposed framework and case study illustrates a direction for increasing inter-plant surplus-heat utilization in industry clusters with reduced use of peak heating, often associated with high costs or emissions.

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