Optimizing CHP operational planning for participating in day-ahead power markets: The case of a coal-fired CHP system with thermal energy storage

Benalcazar, Pablo; Kamiński, Jacek

doi:10.1016/b978-0-12-821838-9.00014-1

Cited by 4 publications

(3 citation statements)

References 41 publications

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“…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%

“…Equations ( 20)-( 27) describe the operation of the thermal energy storage in each time period. The energy balance of the thermal energy storage is given in Equations ( 20) and (21). The mathematical formulation of the thermal energy storage unit considers a predefined capacity Q TES Cap and C-factors C f MAX chr , C f MAX dis (i.e., upper and lower bounds of charge and discharge rates).…”

Section: Thermal Energy Storagementioning

confidence: 99%

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Assessing the Effects of Uncertain Energy and Carbon Prices on the Operational Patterns and Economic Results of CHP Systems

2021

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In the power and heat sectors, the uncertainty of energy and carbon prices plays a decisive role in the rationale for decommissioning/repurposing coal-fired CHP (combined heat and power) systems and on investment decisions of energy storage units. Therefore, there is a growing need for advanced methods that incorporate the stochastic disturbances of energy and carbon emission prices into the optimization process of an energy system. In this context, this paper proposes an integrated method for investigating the effects of uncertain energy and carbon prices on the operational patterns and financial results of CHP systems with thermal energy storage units. The approach combines mathematical programming and Monte Carlo simulation. The computational process generates feasible solutions for profit maximization considering the technical constraints of the CHP system and the variation of energy and carbon emission prices. Four scenarios are established to compare the operational patterns and economic performance of a CHP system in 2020 and 2030. Results show that in 2020, there is an 80% probability that the system’s annual profit will be less than or equal to €30.98 M. However, at the same probability level, the annual profit in 2030 could fall below €11.88 M. Furthermore, the scenarios indicate that the incorporation of a thermal energy storage unit leads to higher expected profits (€0.74 M in 2020 and €0.71 M in 2030). This research shows that coal-fired CHP plant operators will face costly risks and potentially greater challenges in the upcoming years with the increasing regulatory and financial pressure on CO2 emissions and the EU’s plan of phasing out fossil fuels from electricity and heat generation.

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Section: Energy System Modelmentioning

confidence: 99%

Section: Thermal Energy Storagementioning

confidence: 99%

Assessing the Effects of Uncertain Energy and Carbon Prices on the Operational Patterns and Economic Results of CHP Systems

2021

Self Cite

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“…A CCHP system can achieve more than 50% efficiency of a CHP system with the same dimensions. Mohamed A. Mohamed et al [20] studiedCCHP systems that are evaluated by following the electric and thermal charge mechanisms and optimized based on the initial energy consumption, operating costs, and carbon dioxide emissions.in [22], the power generation units include the simultaneous production units of electricity and heat with the output of electric and thermal power and auxiliary boilers. The investment cost was extracted from the United States Environmental Protection Agency website.…”

Section: Introductionmentioning

confidence: 99%

Reliability and Uncertainty Determination of a Combined Heat and Power in Microgrid Systems

MOHSENI

2021

IJRRS

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Today, due to the increase in energy consumption and the increasing use of distributed generation units (DG) such as CHP and fuel cell (FC) units in microgrids, it is necessary to use them in the best possible conditions. The use of distributed generation units, which are mainly installed in small dimensions and on the load side of the distribution network, can provide other benefits, including reducing power transmission losses, increasing production efficiency, and increasing reliability to bring the meantime, the use of electricity and heat simultaneous production units, which are among the most widely used distributed production units, has improved the efficiency of energy production to a great extent by producing electricity and heat simultaneously, thus reducing the costs of energy failure. Therefore, in this paper, the goal is to reduce the cost of production and the cost of lack of energy supply and increase the reliability of the system. In this paper, the working modes of the sample microgrid are evaluated, and finally, the optimization of a multi-objective function, which has goals such as the economical production of each of the distributed production sources, the minimization of the cost of providing the electric and thermal energy of the microgrid, the minimization losses of electrical and thermal energy, load response program and energy storage program. The results of optimal planning of the capacity and number of co-generation units of electricity and heat under different conditions and states show the great effect of using co-generation units of electricity and heat in reducing unsupplied energy and increasing the reliability of the system.

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Sizing and optimizing the operation of thermal energy storage units in combined heat and power plants: An integrated modeling approach

Benalcazar

2021

Energy Conversion and Management

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Optimizing CHP operational planning for participating in day-ahead power markets: The case of a coal-fired CHP system with thermal energy storage

Cited by 4 publications

References 41 publications

Assessing the Effects of Uncertain Energy and Carbon Prices on the Operational Patterns and Economic Results of CHP Systems

Assessing the Effects of Uncertain Energy and Carbon Prices on the Operational Patterns and Economic Results of CHP Systems

Reliability and Uncertainty Determination of a Combined Heat and Power in Microgrid Systems

Sizing and optimizing the operation of thermal energy storage units in combined heat and power plants: An integrated modeling approach

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