2021
DOI: 10.1016/j.enconman.2021.114255
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Sizing and optimizing the operation of thermal energy storage units in combined heat and power plants: An integrated modeling approach

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Cited by 34 publications
(11 citation statements)
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“…The energy balance of the system, taking into account the storage efficiency and the charging and discharging efficiencies, is expressed in Equation (30). The binary variable z(t) is used to illustrate the TES charging and discharging operation status, see Equation (31). Equations ( 32) and (33) express the constraints that the stored thermal energy must be lower than the maximum storage capacity of the system, which depends on TES volume and DH supply and return temperatures.…”
Section: Minimum Uptime and Downtimementioning
confidence: 99%
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“…The energy balance of the system, taking into account the storage efficiency and the charging and discharging efficiencies, is expressed in Equation (30). The binary variable z(t) is used to illustrate the TES charging and discharging operation status, see Equation (31). Equations ( 32) and (33) express the constraints that the stored thermal energy must be lower than the maximum storage capacity of the system, which depends on TES volume and DH supply and return temperatures.…”
Section: Minimum Uptime and Downtimementioning
confidence: 99%
“…However, the annual profile with 8760 time steps makes is difficult to solve due to complexity of optimization model [31][32][33]. To limit the computational time without significantly impacting the simulation results [32], the approach of typical periods is used in this work [33], a full year period was discretized into 12 typical days, each of them being representative for a month.…”
Section: Input Datamentioning
confidence: 99%
“…As described in Section 1, this work expands the scope of our previous study [20] by (a) modeling and incorporating energy and electricity prices uncertainties and (b) investigating the economic and operational impacts of future energy and carbon prices on the operation of a coal-fired CHP system with thermal energy storage. Furthermore, the model used in the present study is an adapted version of the mixed-integer linear programming approach described in [21,22]. In our previous work, the feasible operating region of the combined heat and power plant equipped with an extraction-condensing steam turbine was modeled as a combination of convex points that represented the hourly thermal and electrical power generation.…”
Section: Energy System Modelmentioning
confidence: 99%
“…Previous works have investigated strategies to increase the flexibility of CHP plants (mainly coal and natural gas-fired plants) and evaluated the profitability of flexibility measures on a plant level. Table 1 provides an overview of main outcomes from studies that investigate plant-level flexibility measures, including turbine bypasses [28][29][30], a variable power-to-heat ratio [28,30,31], thermal energy storage (TES) [28,29,[32][33][34][35], coordination with electric boilers [29,32,33,36], steam extraction regulation [37,38], steam storage systems [39,40], thermal buffers [41], disconnection of the low-pressure turbine section [29,32,42], and control systems for improved operational flexibility (e. g., cycling and ramp rates) [43][44][45]. The cited studies demonstrate that there are several ways to enhance the technical potential for CHP plant flexibility, that might increase the plant revenue.…”
Section: Introductionmentioning
confidence: 99%