Optimal Sizing of Biomass-Fired Organic Rankine Cycle CHP System with Heat Storage

Taljan, Gregor; Verbič, Gregor; Pantoš, Miloš; Sakulin, Manfred; Fickert, Lothar

doi:10.1109/iccep.2011.6036352

Cited by 13 publications

(11 citation statements)

References 9 publications

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“…This omnipresence and feasibility of utilization in small-scale power cycles promote decentralized applications of these energy sources. The organic Rankine cycle (ORC) is one of the promising cycles used to extract thermal energy from various energy sources such as solar, biomass and geothermal [2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of a binary geothermal power plant

Ghasemi

Paci

Tizzanini

et al. 2013

Energy

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6A model is developed for an existing organic Rankine cycle (ORC) utilizing a low temperature geothermal source. The model is implemented in Aspen Plus ® and used to simulate the performance of the existing ORC equipped with an air-cooled condensation system. The model includes all the actual characteristics of the components. The model is validated by approximately 5000 measured data in a wide range of ambient temperatures. The net power output of the system is maximized. The results suggest different optimal operation strategies based on the ambient temperature. Existing literature claims that no superheat is optimal for maximum performance of the system; this is confirmed only for low ambient temperatures. For moderate ambient temperatures (T amb ≥ 1.7 ) superheat maximizes net power output of the system. The value of the optimal superheat increases with increasing ambient temperature.The optimal operation boosts the total power produced in a year by 9%. In addition, a simpler and semi-analytic model is developed that enables very quick optimization of the operation of the cycle. Based on the pinch condition at the condenser, a simple explicit formula is derived that predicts the outlet pressure of the turbine as a function of mass flow rate of working fluid.

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Section: Introductionmentioning

confidence: 99%

Modeling and optimization of a binary geothermal power plant

Ghasemi

Paci

Tizzanini

et al. 2013

Energy

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“…Although many system parameters need to be selected at the design stage [6][7][8][9] in this work the number of independent decision variables has been limited to the nominal power of the ORC generator and the volume of TES. The search limits have been set within the range of 200 -5000 kW and 200 -5000 m 3 for TES volume respectively.…”

Section: Optimisation Problemmentioning

confidence: 99%

Sizing of biomass-fired ORC cogeneration unit within coal-fired municipal heating plant back fitting project

Kalina

Świerzewski

2019

E3S Web Conf.

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The problem discussed in this paper is optimal sizing of biomass-fired ORC cogeneration units into existing coal-fired district heating plants under given site-specific technical, economic and ecological constraints. In this paper the municipal heating plant in Krosno (Poland) is taken into account as the reference case. Basing on the operational experiences from this unit an optimisation study has been performed in order to examine the influence of current economic and legal conditions on the optimal design characteristics of the plant. Different electricity, biomass and coal prices are taken into account as well as the influence of the EUA (European Emission Allowance) price is examined. There are taken into account thermal energy storage and sale of electricity on balancing market. It has been found that in the studied case the implementation of hot water storage tank moves the optimal electric power output slightly towards higher values. On the other hand only a small improvement of financial performance has been gained. The results reveal importance of the optimisation of design parameters as well as the dependence of the plant’s size and structure on local economic conditions.

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“…Thermal energy storage is an attractive technology used in several industrial plants such as Combined Heat and Power (CHP) plants (Taljan et al, 2012), Central Solar Heating (CSH) plants (Rodríguez-Hidalgo et al, 2012) or multienergy district boilers (Eynard et al, 2011a(Eynard et al, , 2012. It has been highlighted in a previous work (Labidi et al, 2013) that once optimally designed and managed (we proposed a non-predictive strategy), a storage tank can improve in a significant way the overall efficiency of a plant.…”

Section: Introductionmentioning

confidence: 99%

Predictive Control and Optimal Design of Thermal Storage Systems for Multi-energy District Boilers

Labidi

Eynard

Faugeroux

et al. 2014

IFAC Proceedings Volumes

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As part of the second phase of the OptiEnR research project, the present work deals with improving the operation of a multi-energy district boiler by adding to the plant an optimally designed and controlled thermal storage tank. Previous study focused on both a design approach, based on a parametric analysis, and a non-predictive control strategy. The aim of the present work was to develop a Model Predictive Controller (MPC) to improve the management of the tank in real time. The proposed controller generates optimal command sequences dealing with the amount of thermal energy to be stored or released. As a result, both the fossil energy consumption and CO 2 emissions are significantly reduced while the economic gain is increased.

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Optimal Sizing of Biomass-Fired Organic Rankine Cycle CHP System with Heat Storage

Cited by 13 publications

References 9 publications

Modeling and optimization of a binary geothermal power plant

Modeling and optimization of a binary geothermal power plant

Sizing of biomass-fired ORC cogeneration unit within coal-fired municipal heating plant back fitting project

Predictive Control and Optimal Design of Thermal Storage Systems for Multi-energy District Boilers

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