Research Papers: Energy Systems Analysis

Simulation of Cogeneration-Combined Cycle Plant Flexibilization by Thermochemical Energy Storage

[+] Author and Article Information
Michael Angerer

Department of Mechanical Engineering,
Institute for Energy Systems,
Technical University of Munich,
Boltmannstr, 15,
Garching 85748, Germany
e-mail: michael.angerer@tum.de

Michael Djukow

Department of Mechanical Engineering,
Institute for Energy Systems,
Technical University of Munich,
Garching 85748, Germany
e-mail: michael.djukow@tum.de

Karsten Riedl

Uniper Technologies GmbH,
Gelsenkirchen 45896, Germany
e-mail: karsten.riedl@uniper.energy

Stephan Gleis

Department of Mechanical Engineering,
Institute for Energy Systems,
Technical University of Munich,
Garching 85748, Germany
e-mail: stephan.gleis@tum.de

Hartmut Spliethoff

Department of Mechanical Engineering,
Institute for Energy Systems,
Technical University of Munich,
Garching 85748, Germany
e-mail: spliethoff@tum.de

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received January 18, 2017; final manuscript received October 16, 2017; published online January 23, 2018. Assoc. Editor: Tatiana Morosuk.

J. Energy Resour. Technol 140(2), 020909 (Jan 23, 2018) (12 pages) Paper No: JERT-17-1027; doi: 10.1115/1.4038666 History: Received January 18, 2017; Revised October 16, 2017

In the course of the “Energiewende,” the German electricity market is undergoing major changes. The state-aided priority of renewable generation has led to a significant decline in electricity prices. This reduces the profit margin of cogeneration units and increases the necessity of flexible operation to avoid electricity production when spot prices drop below marginal costs. In this work, a 100 MWel combined-cycle (CC) power plant supplying heat and power to a paper mill is investigated. Currently, the plant is operated heat-controlled and is therefore unable to react to changing electricity spot prices. With the integration of heat storage, the plant is enabled to switch to power-controlled mode. To evaluate the technical impact of the storage, the plant and a thermochemical MgO/Mg(OH)2 storage are modeled using the stationary process simulation tool ebsilon professional. Different operation modes are investigated and results are used to derive a mixed integer linear programming (MILP) model to optimize the operation of the plant/storage system. Using this method, the overall economic impact of the storage on the plant operation is quantified.

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Fig. 1

Installed capacity in the German power grid over the last 25 years, adopted from Ref. [4]

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Fig. 2

Flow sheet of a simple natural gas CC plant: 1—gas turbine with generator, 2—feed water tank, 3—feed water pump, 4—HRSG (with economizer, evaporator, and superheater), 5—steam turbine and generator, and 6—condenser

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Fig. 3

Pressure dependence of the chemical equilibrium for reaction (1). Data from Ref. [22].

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Fig. 4

ebsilon professional model of the CC cogeneration plant

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Fig. 5

Storage configuration for charging mode with tanks

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Fig. 6

Flow sheet for charging of the storage. 100% of the live steam are used in the storage, therefore the steam turbine is not shown.

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Fig. 7

Configuration of the storage for discharge

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Fig. 8

Division of the plant into three units (combustion unit, extraction unit, and storage unit) for the MILP model. Time-dependent boundary conditions are EPEX prices and heat demand by the paper mill.

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Fig. 9

Results of the process simulation validation

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Fig. 10

Heat flows for normal operation, storage charging operation, and storage discharging operation for a heat demand of 83 MW by the paper mill: (a) normal operation, (b) charge, and (c) discharge

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Fig. 11

Distribution of the heat transferred from the live steam to the storage material

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Fig. 12

Dispatch scheme for the plant with storage in a weak in January 2014. For high electricity prices the plant is operated in normal mode (blue spheres) generating as much power as possible, at medium prices, the storage is charged (green diamonds) and at very low prices the plant is shut down (orange squares) if the storage load is sufficient to supply the paper mill with heat.

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Fig. 13

Plant operation strategy for the complete year 2014. Each data point corresponds to 1 h of operation.



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