Potential for the use of micro-cogeneration prosumer systems based on the Stirling engine with an example in the Polish market

Skorek‐Osikowska, Anna; Remiorz, Leszek; Bartela, Łukasz; Kotowicz, J.

doi:10.1016/j.energy.2017.05.066

Cited by 20 publications

(6 citation statements)

References 31 publications

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“…The analyses applied various mathematical approaches, e.g., fuzzy logic, and were related to the µCHP based on fuel cells [44], microturbines [45] or the integration of photovoltaic/thermal (PVT) modules with a heat pump [46]. A fairly common approach to the system analysis of micro-cogeneration is to assume that the µCHP unit operation is in the on-off mode once or twice per day (only using the daily energy balances) [26,[47][48][49] or applying power modulation to the device within a certain range, e.g., 0-100% [41,50] or 50-100% [51].…”

Section: Operation Strategies For µChp Unitsmentioning

confidence: 99%

An Experimental Data-Driven Model of a Micro-Cogeneration Installation for Time-Domain Simulation and System Analysis

2020

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In this article, an investigation of a free-piston Stirling engine-based micro-cogeneration (μCHP) unit is presented. This work is a step towards making the system calculations more reliable, based on a data-driven model, which enables the time-domain simulation of the μCHP behavior. A laboratory setup was developed that allowed for the measurement of a micro-cogeneration unit during long-term operation with a variable thermal load. The maximum efficiency of electricity generation was equal to 13.2% and the highest overall efficiency was equal to 95.7%. A model of the analyzed μCHP system was developed and validated. The simulation model was based on the device’s characteristics that were obtained from the measurements; it enables time-domain calculations, taking into account the different operating modes of the device. The validation of the system showed satisfactory compliance of the model with the measurements: for the period modeled of 24 h, the error in the heat generation fluctuated in the range 0.31–4.50%, the error in the electricity generation was in the range 2.48–4.70%, the error in the natural gas consumption was in the range 0.26–4.59%, and the engine’s runtime error was in the range 0.14–8.58%. The modelling process is easily applicable to other energy systems for detailed analysis.

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Section: Operation Strategies For µChp Unitsmentioning

confidence: 99%

An Experimental Data-Driven Model of a Micro-Cogeneration Installation for Time-Domain Simulation and System Analysis

2020

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“…To date, several efficiency strategies have been developed to achieve this optimal operation [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Ref.…”

Section: Of 15mentioning

confidence: 99%

“…Ref. [8] is used to assess the potential process of using micro-cogeneration systems based on Stirling engines. The results demonstrate that a numerical analysis of the Stirling engine can accurately indicate the operation of the actual machine.…”

Section: Of 15mentioning

confidence: 99%

The Optimal Energy Dispatch of Cogeneration Systems in a Liberty Market

Lin

Yang

et al. 2019

Energies

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This paper proposes a novel approach toward solving the optimal energy dispatch of cogeneration systems under a liberty market in consideration of power transfer, cost of exhausted carbon, and the operation condition restrictions required to attain maximal profit. This paper investigates the cogeneration systems of industrial users and collects fuel consumption data and data concerning the steam output of boilers. On the basis of the relation between the fuel enthalpy and steam output, the Least Squares Support Vector Machine (LSSVM) is used to derive boiler and turbine Input/Output (I/O) operation models to provide fuel cost functions. The CO2 emission of pollutants generated by various types of units is also calculated. The objective function is formulated as a maximal profit model that includes profit from steam sold, profit from electricity sold, fuel costs, costs of exhausting carbon, wheeling costs, and water costs. By considering Time-of-Use (TOU) and carbon trading prices, the profits of a cogeneration system in different scenarios are evaluated. By integrating the Ant Colony Optimization (ACO) and Genetic Algorithm (GA), an Enhanced ACO (EACO) is proposed to come up with the most efficient model. The EACO uses a crossover and mutation mechanism to alleviate the local optimal solution problem, and to seek a system that offers an overall global solution using competition and selection procedures. Results show that these mechanisms provide a good direction for the energy trading operations of a cogeneration system. This approach also provides a better guide for operation dispatch to use in determining the benefits accounting for both cost and the environment in a liberty market.

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“…The heat demand profile (Q d ), electricity demand profile (E el_d ) as well as the electricity consumption by the heat pump system (E el_hp ) are based on experimental data described in detail in [8], and they are expressed in kilowatt-hour per day. The extensive, long-term measurements of the average daily ambient temperature (t amb ) were also conducted and they are described in [9]. The temperature characteristics for the studied year is shown in Fig.…”

Section: Assumptions For µChp Operation Analysismentioning

confidence: 99%

“…The unit prices of the media concerned in the cost analysis are summarized in Tab. 3, mostly based on [9], where: c el_p -unit price of purchased electricity, c el_s -unit price of electricity sold to the grid, c gas -unit price of purchased gas, c coal -unit price of purchased coal. The total cost of operation of the house equipped with a heat pump system (K HP ) consists of the cost of electricity to cover the household demand (K el_demand ) and the cost of electricity consumed by the heat pump (K HP _el ).…”

Section: Operating Costsmentioning

confidence: 99%

Archives of Thermodynamics

Uchman,

Remiorz,

Kotowicz

2019

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In this article, a comparison of economic effectiveness of various heating systems dedicated to residential applications is presented: a natural gas-fueled micro-cogeneration (micro-combined heat and power -µCHP) unit based on a free-piston Stirling engine that generates additional electric energy; and three so-called classical heating systems based on: gas boiler, coal boiler, and a heat pump. Calculation includes covering the demand for electricity, which is purchased from the grid or produced in residential system. The presented analyses are partially based on an experimental investigation. The measurements of the heat pump system as well as those of the energy (electricity and heat) demand profiles in the analyzed building were conducted for a single-family house. The measurements of the µCHP unit were made using a laboratory stand prepared for simulating a variable heat demand. The overall efficiency of the µCHP was in the range of 88.6-92.4%. The amounts of the produced/consumed energy (electricity, heat, and chemical energy of fuel) were determined. The consumption and the generation of electricity were settled on a daily basis. Operational costs of the heat pump system or coal boiler based heating system are lower comparing to the micro-cogeneration, however no support system for natural gas-based µCHP system is included.

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Potential for the use of micro-cogeneration prosumer systems based on the Stirling engine with an example in the Polish market

Cited by 20 publications

References 31 publications

An Experimental Data-Driven Model of a Micro-Cogeneration Installation for Time-Domain Simulation and System Analysis

An Experimental Data-Driven Model of a Micro-Cogeneration Installation for Time-Domain Simulation and System Analysis

The Optimal Energy Dispatch of Cogeneration Systems in a Liberty Market

Archives of Thermodynamics

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