Simulation-based techno-economic evaluation for optimal design of CO 2 transport pipeline network

Luo, Xiaobo; Wang, Meihong; Oko, Eni; Okezue, Chima

doi:10.1016/j.apenergy.2014.07.063

Cited by 67 publications

(29 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To date, no EOS is specifically recommended for CO 2 mixtures, but the ability to accurately predict the Vapour Liquid Equilibrium (VLE), density and speed of sound is considered the best way to gauge any weaknesses or strengths of EOS [2,8,38,39]. Li et al [2,8] has not been implemented in CFD models of decompression or outflow models to date , though it is currently the reference EOS for natural gas [50].…”

Section: Computational Fluid Dynamics (Cfd) Technique Have Been Develmentioning

confidence: 99%

Decompression wave speed in CO2 mixtures: CFD modelling with the GERG-2008 equation of state

et al. 2015

View full text Add to dashboard Cite

The development of CO2 pipelines for Carbon Capture and Storage (CCS) raises new questions regarding the control of ductile fracture propagation and fracture arrest toughness criteria. The decompression behaviour in the fluid must be determined accurately in order to estimate the proper pipe toughness. However, anthropogenic CO2 may contain impurities that can modify the fluid decompression characteristics quite significantly. To determine the decompression wave speed in CO2 mixtures, the thermodynamic properties of these mixtures must be determined by using an accurate equation of state. In this paper we present a new decompression model developed using the Computational Fluid Dynamics (CFD) package ANSYS Fluent. The GERG-2008 Equation of State (EOS) was implemented into this model through User Defined Functions (UDF) to predict the thermodynamic properties of CO2 mixtures. The model predictions were in good agreement with the experimental data of two 'shock tube' tests. A range of representative CO2 mixtures was examined in terms of the changes in fluid properties from the initial conditions, with time and distance, immediately after a sudden pipeline opening at one end. Phase changes that may occur within the fluid due to condensation of 'impurities' in the fluid were also investigated. Simulations were also conducted to examine how the initial temperature and impurities would affect the decompression wave speed.

show abstract

Section: Computational Fluid Dynamics (Cfd) Technique Have Been Develmentioning

confidence: 99%

Decompression wave speed in CO2 mixtures: CFD modelling with the GERG-2008 equation of state

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The CO 2 compression train is not only an expensive equipment but also a big power consumer [14]. Witkowski et al [15] dissected the power requirements of different configurations of CO 2 compression train are from 57.8 to 31.3 MW e for a capture-ready 900 MW e hard coal-fired power plant.…”

Section: Previous Studiesmentioning

confidence: 99%

Heat integration of natural gas combined cycle power plant integrated with post-combustion CO2 capture and compression

Luo

Wang

Chen

2015

Fuel

Self Cite

View full text Add to dashboard Cite

h i g h l i g h t sSteady state simulation of natural gas combined cycle (NGCC) power plant. NGCC power plant with exhaust gas recirculation (EGR) to increase CO 2 concentration in flue gas. Steady state simulation of post-combustion carbon capture (PCC) process and CO 2 compression train. Advanced supersonic shock wave compressor used for the CO 2 compression. Heat integration of NGCC with EGR, PCC and CO 2 compressors to improve thermal efficiency. a b s t r a c tCarbon capture for fossil fuel power generation draws an increasing attention because of significant challenges of global climate change. This study aims to explore the integration of a 453 MW e natural gas combined cycle (NGCC) power plant with an MEA-based post-combustion carbon capture (PCC) process and CO 2 compression train. The steady state models of the NGCC power plant, the PCC process and compression train were developed using Aspen Plus Ò and were validated with the published data and experimental data. The interfaces between NGCC and PCC were discussed. Exhaust gas recirculation (EGR) was also investigated. With EGR, a great size reduction of the absorber and the stripper was achieved. An advanced supersonic shock wave compressor was adopted for the CO 2 compression and its heat integration was studied. The case study shows net efficiency based on low heating value (LHV) decreases from 58.74% to 49.76% when the NGCC power plant is integrated with the PCC process and compression. Addition of EGR improves the net efficiency to 49.93% and two compression heat integration options help to improve the net efficiency to 50.25% and 50.47% respectively. This study indicates NGCC including EGR integrated with PCC and supersonic shock wave compression with new heat integration opportunity would be the future direction of carbon capture deployment for NGCC power plant.

show abstract

“…A basic post combustion installation based on MEA absorption process was assumed and with the use of process simulator, taking the overall efficiency of The operating pressure range of the pipeline infrastructure was set to (8)(9)(10)(11)(12)(13)(14)(15) MPa in order to maintain the post combustion CO2-rich mixture in supercritical phase. As a result the pipeline wall thickness for the whole network was chosen equal to 25 mm.…”

Section: Basic Assumptions and Input Datamentioning

confidence: 99%

“…Least cost optimisation model of an integrated CO2 capture, transportation and storage infrastructure for the UK over four time periods up to year 2050 was presented in the study by Elahi et al [9]. The physical characteristics of a potential pipeline network for CO2 transportation in the Humber Region in the UK area have been discussed by Luo et al [10]. Hetland et al [11] present the status of the large European CCS demonstration projects with particular emphasis on transport systems development.…”

Section: Introductionmentioning

confidence: 99%

Conceptual design of multi-source CCS pipeline transportation network for Polish energy sector

Isoli

Chaczykowski

2017

E3S Web Conf.

View full text Add to dashboard Cite

Abstract. The aim of this study was to identify an optimal CCS transport infrastructure for Polish energy sector in regards of selected European Commission Energy Roadmap 2050 scenario. The work covers identification of the offshore storage site location, CO2 pipeline network design and sizing for deployment at a national scale along with CAPEX analysis. It was conducted for the worst-case scenario, wherein the power plants operate under full-load conditions. The input data for the evaluation of CO2 flow rates (flue gas composition) were taken from the selected cogeneration plant with the maximum electric capacity of 620 MW and the results were extrapolated from these data given the power outputs of the remaining units. A graph search algorithm was employed to estimate pipeline infrastructure costs to transport 95 MT of CO2 annually, which amount to about 612.6 M€. Additional pipeline infrastructure costs will have to be incurred after 9 years of operation of the system due to limited storage site capacity. The results show that CAPEX estimates for CO2 pipeline infrastructure cannot be relied on natural gas infrastructure data, since both systems exhibit differences in pipe wall thickness that affects material cost.

show abstract

Simulation-based techno-economic evaluation for optimal design of CO 2 transport pipeline network

Cited by 67 publications

References 40 publications

Decompression wave speed in CO2 mixtures: CFD modelling with the GERG-2008 equation of state

Decompression wave speed in CO2 mixtures: CFD modelling with the GERG-2008 equation of state

Heat integration of natural gas combined cycle power plant integrated with post-combustion CO2 capture and compression

Conceptual design of multi-source CCS pipeline transportation network for Polish energy sector

Contact Info

Product

Resources

About