Calibration and validation of a model for simulating thermal and electric performance of an internal combustion engine-based micro-cogeneration device

Rosato, Antonio; Sibilio, Sergio

doi:10.1016/j.applthermaleng.2012.04.020

Cited by 68 publications

(29 citation statements)

References 23 publications

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“…Existing models usually simulate specific models of the SE, as in [4,8], or use the Annex 42 model [10]. This method was developed by the International Energy Agency (IEA) and is used to simulate cogeneration devices integrated in building simulation tools [7] starting from empirical data and parametric analysis to obtain the output data, which is implemented in different simulation tools.…”

Section: Introductionmentioning

confidence: 99%

Development of a Transient Model of a Stirling-Based CHP System

Ulloa¹,

Mı́guez

Porteiro

et al. 2013

Energies

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Although the Stirling engine was invented in 1816, this heat engine still continues to be investigated due to the variety of energy sources that can be used to power it (e.g., solar energy, fossil fuels, biomass, and geothermal energy). To study the performance of these machines, it is necessary to develop and simulate models under different operating conditions. In this paper, we present a one-dimensional dynamic model based on components from Trnsys: principally, a lumped mass and a heat exchanger. The resulting model is calibrated using GenOpt. Furthermore, the obtained model can be used to simulate the machine both under steady-state operation and during a transient response. The results provided by the simulations are compared with data measured in a Stirling engine that has been subjected to different operating conditions. This comparison shows good agreement, indicating that the model is an appropriate method for transient thermal simulations. This new proposed model requires few configuration parameters and is therefore easily adaptable to a wide range of commercial models of Stirling engines. A detailed analysis of the system results reveals that the power is directly related to the difference of temperatures between the hot and cold sources during the transient and steady-state processes.

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Section: Introductionmentioning

confidence: 99%

Development of a Transient Model of a Stirling-Based CHP System

Ulloa¹,

Mı́guez

Porteiro

et al. 2013

Energies

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“…These parameters were calibrated for the analyzed microcogenerator using empirical data in Ref. [27].…”

Section: Model Descriptionmentioning

confidence: 99%

Microcogeneration in buildings with low energy demand in load sharing application

Angrisani

Canelli

Roselli

et al. 2015

Energy Conversion and Management

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“…Following and assuming that the pressure drop through each heat exchanger is negligible, the individual exergy rate terms for the heat exchangers (e.g.

true {\overset{X}{true}}_{cool}

true {\overset{X}{true}}_{e x h}

true {\overset{X}{true}}_{normaloil}

true {\overset{X}{true}}_{d h w}

and

true {\overset{X}{true}}_{normalspcht}

) shown in Figure are be expressed as follows:

\begin{matrix} left \\ {\overset{X}{true}}_{normali} = {\overset{true˙}{m}}_{i} ([h_{i, out} - h_{i, in}] - T_{0} [s_{i, out} - s_{i, in}]) \\ = {\overset{true˙}{m}}_{i} {\overset{true¯}{c}}_{p} ([T_{i, out} - T_{i, in}] - T_{0} l n [\frac{T_{i, out}}{T_{i, in}}]) . \end{matrix}

…”

Section: Exergy Diagnosticsmentioning

confidence: 99%

“…Following [5,12,33,35,54] and assuming that the pressure drop through each heat exchanger is negligible, the individual exergy rate terms for the heat exchangers (e.g. _ X cool , _ X exh , _ X oil , _ X dhw and _ X spcht ) shown in Figure 3 are be expressed as follows:…”

Section: Exergy Diagnosticsmentioning

confidence: 99%

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Partitioning of MCHP-TES system run time to incorporate transient system behaviour: a comprehensive exergy-based analysis using simulation

Ummenhofer

Olsen

Roediger

2016

Int. J. Energy Res.

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SUMMARYBy combining heat and power generation, mini-combined and micro-combined heat and power systems (MCHP) provide an efficient, decentralised means of power generation that can complement the composition of the electricity generation mix. Dynamic tools capable of handling transient system behaviour are required to assess MCHP efficiency beyond a mere static analysis based on steady-state design parameters. Using a simulation of a cogeneration system, we combine exergetic definitions for different operational system states to quantify the overall system efficiency continuously over the whole period of operation. The concept of exergy allows direct comparison of different forms of energy. A sensitivity analysis was performed where we quantified the effect on MCHP overall performance under varying engine rotational speed, thermal energy storage size and fluid storage temperature in a range of MCHP simulations. We found that the exergetic quantity of natural gas used by the MCHP decreased slightly at higher engine speeds (À2% to À4%). While the total amount of electricity generated is almost constant across the range of different engine output, more thermal exergy (up to +21%) can be recovered when the engine is operating at elevated speeds. Furthermore, selection of specific optimal thermal storage fluid temperatures can aid in improving system efficiency.

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Calibration and validation of a model for simulating thermal and electric performance of an internal combustion engine-based micro-cogeneration device

Cited by 68 publications

References 23 publications

Development of a Transient Model of a Stirling-Based CHP System

Development of a Transient Model of a Stirling-Based CHP System

Microcogeneration in buildings with low energy demand in load sharing application

Partitioning of MCHP-TES system run time to incorporate transient system behaviour: a comprehensive exergy-based analysis using simulation

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