On the Application of Small-Scale Turbines in Industrial Steam Networks

Weickgenannt, Ansgar; Kantor, Ivan; Maréchal, François; Schiffmann, Jürg

doi:10.3390/en14113149

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…As an example, the efficiency of a gas turbine for power production is usually in the range of 36% to 40%, whereas the total efficiency factor reaches above 90%, when the rest heat is utilised as well [5]. In industrial sites, central utility plants convert steam to mechanical work to manage steam distribution at different pressure levels required for the operation of the plants, while co-generating electricity [6]. The role of CHP plants in the transition of the European energy systems has also been recognised by the European Union through the CHP directive (Directive 2004/8/EC, 2004), which promotes the construction and operation of co-generation plants [7].…”

Section: Introductionmentioning

confidence: 99%

Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty

Rahimi-Adli¹,

Leo

Beisheim

et al. 2021

Energies

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The operation of on-site power plants in the chemical industry is typically determined by the steam demand of the production plants. This demand is uncertain due to deviations from the production plan and fluctuations in the operation of the plants. The steam demand uncertainty can result in an inefficient operation of the power plant due to a surplus or deficiency of steam that is needed to balance the steam network. In this contribution, it is proposed to use two-stage stochastic programming on a moving horizon to cope with the uncertainty. In each iteration of the moving horizon scheme, the model parameters are updated according to the new information acquired from the plants and the optimisation is re-executed. Hedging against steam demand uncertainty results in a reduction of the fuel consumption and a more economic generation of electric power, which can result in significant savings in the operating cost of the power plant. Moreover, unplanned load reductions due to lack of steam can be avoided. The application of the new approach is demonstrated for the on-site power plant of INEOS in Köln, and significant savings are reported in exemplary simulations.

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Section: Introductionmentioning

confidence: 99%

Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty

Rahimi-Adli¹,

Leo

Beisheim

et al. 2021

Energies

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“…The steam system in such plants is supplemented by let-down stations and steam export to or import from the main steam network is possible if the plant is integrated into a larger industrial complex [46,47]. Parallel production of steam at various pressure levels and mechanical energy [48,49] in SC can be, together with the production of steam and electric energy in industrial CHP, termed cogeneration while the whole system, which produces energies and materials, is a polygeneration plant [50,51]. The efficiency of heat and power production (mechanical energy), as well as fuel costs and GHG emissions in an industrial CHP and SC, can vary over time due to many factors.…”

Section: Introduction 1overview and Literature Surveymentioning

confidence: 99%

Energy and Environmental Assessment of Steam Management Optimization in an Ethylene Plant

Variny

Hanus²,

Blahušiak³

et al. 2021

IJERPH

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Steam crackers (ethylene plants) belong to the most complex industrial plants and offer significant potential for energy-saving translated into the reduction of greenhouse gas emissions. Steam export to or import from adjacent units or complexes can boost the associated financial benefit, but its energy and environmental impact are questionable. A study was carried out on a medium-capacity ethylene plant using field data to: 1. Estimate the energy savings potential achievable by optimizing internal steam management and optimizing steam export/import; 2. Quantify the associated change in air pollutant emissions; 3. Analyze the impact of the increasing carbon price on the measures adopted. Internal steam management optimization yielded steam let-down rate minimization and resulted in a 5% (87 TJ/year) reduction in steam cracker’s steam boiler fuel consumption and the associated cut of CO2 emissions by almost 4900 t/year and that of NOx emissions by more than 5 t/year. Steam import to the ethylene plant from the refinery proved to be purely economic-driven, as it increased the net fuel consumption of the ethylene plant and the refinery complex by 12 TJ/year and resulted in an increase of net emissions of nearly all considered air pollutants (more than 7000 t/year of CO2, over 15 t/year of NOx, over 18 t/year of SOx) except for CO, where the net change was almost zero. The effect of external emissions change due to the associated backpressure electricity production surplus (over 11 GWh/year) was too low to compensate for this increase unless fossil fuel-based electricity production was considered. The increase of carbon price impact on the internal steam management optimization economics was favorable, while a switch to steam export from the ethylene plant, instead of steam import, might be feasible if the carbon price increased to over 100 €/tCO2.

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Design and experimental investigation of a micro-scale bladeless-type steam turbine

Kupka,

Koloničný

2024

Applied Thermal Engineering

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On the Application of Small-Scale Turbines in Industrial Steam Networks

Cited by 5 publications

References 13 publications

Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty

Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty

Energy and Environmental Assessment of Steam Management Optimization in an Ethylene Plant

Design and experimental investigation of a micro-scale bladeless-type steam turbine

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