Operational analysis of natural gas combined cycle CHP plants: Energy performance and pollutant emissions

Jarre, Matteo; Noussan, Michel; Poggio, Alberto

doi:10.1016/j.applthermaleng.2016.02.040

Cited by 49 publications

(18 citation statements)

References 10 publications

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“…While much attention has been paid on the design and 50 optimization of future networks, few works address the operation analysis of existing DH systems [24,25,26,27]. However, the operation and control settings can have a significant impact on the primary energy consumption of the DH system, as over the year the system operates in 55 different off-design conditions, especially at partial loads.…”

mentioning

confidence: 99%

Real operation data analysis on district heating load patterns

Noussan

Jarre

Poggio

2017

Energy

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District heating networks play an important role in the heating and cooling sector, serving up to 60% of the citizens in some countries. The availability of a thermal network supplying multiple users allows producing heat from different sources and multiple technologies. The possibility of relying on different solutions allows the system manager to optimize the heat generation by choosing the best unit for each operation condition. This choice is based on a deep knowledge of heat load profiles, that are related to users behavior, network performances and control logics.This paper provides an analysis of a DH system operation over ten heating seasons, with the aim of highlighting the main characteristics of the heat load variations and finding the fundamental drivers for heat load prediction. Although the system has seen a significant development throughout the years, the specific energy consumption has been found to be comparable on the whole duration of the analysis. Two main patterns are highlighted, based on the different operation settings along the hours of the day and the outdoor temperature as the main weather driver for building's heat demand.

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mentioning

confidence: 99%

Real operation data analysis on district heating load patterns

Noussan

Jarre

Poggio

2017

Energy

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“…In CHP systems, as load decreases, the heat rate of spark ignition engines increases and efficiency decreases. The efficiency at 50% load is approximately 8e10% less than full load expected efficiency and even the efficiency collapses for further load falls [25,27].…”

Section: Cgsmentioning

confidence: 96%

“…As there is a red line for the exhaust temperature, below which the exhaust gases begin to distil, just a portion of exhaust heat may be recovered. For this objective, most of heat recovery units are designed for the exhaust outlet temperature in range of 120 Ce180 C [27]. After calculating the required heat and based on the tradeoff optimization process explained in previous section, one could select the optimum size of internal combustion engines.…”

Section: Cgsmentioning

confidence: 99%

Defining a technical criterion for economic justification of employing CHP technology in city gate stations

Farzaneh-Kord

Khoshnevis

Arabkoohsar

et al. 2016

Energy

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“…The economic objective function aims to minimize the running cost of the system, as described in Equation 3:…”

Section: Scenarios and Objective Functionsmentioning

confidence: 99%

“…1,2 However, the high penetration of RES in electricity markets is currently leading to variable energy mixes throughout the day and the year, modifying the operation of the power plants. 3 The energy mix has also a strong influence on the primary energy factor (PEF) of the electricity (ie, the primary energy consumed for the electricity production) and its specific GHG emissions.…”

Section: Introductionmentioning

confidence: 99%

Multicarrier energy systems: Optimization model based on real data and application to a case study

Noussan

Jarre

2017

Int J Energy Res

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Summary Multicarrier energy systems are increasingly used for a number of applications, among which the supply of electricity, heating, and cooling in buildings. The possibility of switching between different energy sources is a crucial advantage for the optimal fulfillment of the energy demand. The flexibility of these systems can benefit from the integration with smart grids, which have strong variations in time during their operation. The energy price is the parameter that is usually considered, but also the primary energy factor and the greenhouse gases emissions need to be accounted. This paper presents an application of an operational optimization method for a multicarrier energy system, based on real data–driven model and applied to different countries. The generation plant of a hospital is considered as case study, coping with multiple energy needs by relying on different conversion technologies. The optimal operation of the system shows a wide range of variability, depending on the chosen objective function, the hour of the day, the season, and the country. The results are affected mostly by the energy mix of the electricity supplied from the power grid, which has a direct influence on the primary energy consumption and the greenhouse gases emissions and an indirect influence on the electricity prices.

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Operational analysis of natural gas combined cycle CHP plants: Energy performance and pollutant emissions

Cited by 49 publications

References 10 publications

Real operation data analysis on district heating load patterns

Real operation data analysis on district heating load patterns

Defining a technical criterion for economic justification of employing CHP technology in city gate stations

Multicarrier energy systems: Optimization model based on real data and application to a case study

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