1. Introduction - Firenze University Press

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these factors. A sensitivity analysis was also preformed to evaluate possible changes once the novel technologies reach industrial scale. As well, two uncertainty analyses were also performed to explore the effects on CO2 emissions in: the regeneration rate in AwR, the distance between a municipal solid waste incinerator and AwR and BABIU facilities, and the effect of the country where the upgrading plant is located. 2.4 Material Flow Analysis BABIU and AwR are currently being developed with the goal of applying it to waste treatment processes (Anaerobic Digesters (AD) and landfills) while using waste from another waste treatment process (MSWI). Therefore it is important to study the flows of waste to see whether there would be enough Bottom ash (BA) and air pollution control (APC) residues from MSWI for BABIU and AwR, respectively. Therefore a MFA was conducted on the municipal waste flows of Spain in 2008. This data was obtained through literature reviews and personal communications with people in the field [27-31]. Once the waste flow was determined three scenarios were planted and explored. Fig. 2. Urban waste flow of Spain for2008 The amount of organic matter (OM) within the flow of unsorted waste was calculated at 41% [27]. For the potential amount of biogas generated the following assumptions were made: AD generates 115m 3 of biogas per t of OM [32], with a capture rate of 100%; and landfills generate 170 m 3 of CH4 per t of OM [33], with a capture rate of 30%. The potential amount of BA produced was calculated as 20% of the total waste in MSWI. The potential electricity that can be generated in MSWI was estimated to be around 0.52 MWh/t of waste and was determined based on information provided for a MSWI in Barcelona in 2008 [34]. 3. Results and Discussion 3.<strong>1.</strong> Life Cycle Assessment Table 2 shows the g of CO2 saving by each of the technologies under study. The amount of CO2 saved varies from 1400 g to almost 2000 g. The BABIU process has the lowest global warming potential (GWP) and actually the largest potential CO2 savings, 1980 g of CO2 eq. In general all the other processes generate about 10% more CO2 emissions than BABIU, except for OPS and MS which generate 15% and 25% more emissions, respectively. 65
Table 2. Global warming potential of biogas upgrading technologies Upgrading process Global Warming Potential (g of CO2 Eqv.) BABIU -1977 AwR -1794 HPWS -1766 AS -1761 Cry -1758 PSA -1714 OPS -1691 MS -1489 Percentage of total impact 20% 0% -20% -40% -60% -80% -100% Upgrading Technologies Fig. 3. Breakdown of the global warming impact of biogas upgrading technologies Fig. 3 demonstrates the role that each component plays in the carbon balance of each technology. The biomethane processed and the CO2 stored account for the CO2 savings while the production of reagents, electricity and any methane slip contribute to CO2 emissions. The amount of CH4 processed and turned into biomethane saves the largest amount and accounts for the fact that these technologies overall save CO2 rather than contribute to climate change, as was demonstrated in Table 2. All the processes do emit CO2 but the amount saved compensates for this impact. Both the BABIU and the AwR process store CO2 and therefore this contributes to an extra savings of 198 g and 204 g of CO2 respectively. The BABIU process had the greatest savings as it not only processes a large amount of biogas but it also produces a relatively small amount of CO2. While AwR stores more CO2 than BABIU it doesn’t have as high of an overall CO2 savings due to the production of KOH which counts for 8% of AwR’s GWP. For only two of the upgrading technologies, HPWS and Cry, the electricity used produced the largest amount of CO2 emissions. For AS the production of required heat was the largest source of emissions. Meanwhile, for all the other technologies BABIU, PSA, OPS and MS, the methane slip that occurs during the upgrading process had the highest negative impact. In the case of MS, the 66 Heat Biomethane obtained Methane slip Reagent Electricity CO2 stored
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Proceedings e report 90
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ECOS 2012 : the 25 th International
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Advisory Committee (Track Organizer
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The 25 th ECOS Conference 1987-2012
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VOLUME VI CONTENT VI. 1 CARBON CAPT
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-----------------------------------
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» Personal transportation energy c
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» Excess enthalpies of second gene
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VOLUME IV IV . 1 - FLUID DYNAMICS A
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» Exergy analysis and genetic algo
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» Optimal lighting control strateg
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» Stability and limit cycles in an
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PROCEEDINGS OF ECOS 2012 - THE 25 T
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Fig. 2. The exergy destruction of M
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ineffectiveness of the catalyst, in
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[ P EXmth EX SNG] ESR F where EXm
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Fuel inputkW 728221 203771 237719 3
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Not only at desined Rc (the ratio o
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4. DISCUSSION The graphic exergy an
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Page 46 and 47: generally there are four kinds of m
Page 48 and 49: However, even under the off-design
Page 50 and 51: Fig. 3. 600MW supercritical coal-fi
Page 52 and 53: CO2 rich loading(molCO2/molMEA) 0.4
Page 54 and 55: Net efficiency (%) 40.28 30.29 26.4
Page 56 and 57: Fig. 11. Schematic diagram of heat
Page 58 and 59: 28.67%. In addition, through heat i
Page 60 and 61: Applied Thermal Engineering 2010;30
Page 62 and 63: Abstract: PROCEEDINGS OF ECOS 2012
Page 64 and 65: Fig. 1. Solution diagram of „four
Page 66 and 67: K ~ K 1 eK 1a p K 1a iK mK
Page 68 and 69: Oxygen recovery rate, % 105 95 85 7
Page 70 and 71: Calculated optimal compressor press
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Page 74 and 75: The net amount of the flue gas leav
Page 76 and 77: Figure 3. Idea for lignite drying b
Page 78 and 79: Energy efficiency, % 34,00 33,00 32
Page 80 and 81: points efficiency increase related
Page 82 and 83: Figure A1b. Thermoflex flow sheet o
Page 84 and 85: Figure A3a. Thermoflex flow sheet o
Page 86 and 87: Figure A4. Thermoflex flow sheet of
Page 90 and 91: 2.1. Life Cycle Assessment 2.1.1. G
Page 94 and 95: methane slip contributes to 13% of
Page 96 and 97: As can be seen in Fig. 5 the impact
Page 98 and 99: References [1] Eurobserv’er, The
Page 100 and 101: PROCEEDINGS OF ECOS 2012 - THE 25 T
Page 102 and 103: in which CO2 is separated from H2,
Page 104 and 105: dimensions of water droplets and wa
Page 106 and 107: Temperature (°C) 8 7 6 5 4 3 2 1 0
Page 108 and 109: 4. Conclusions In the present paper
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Page 116 and 117: 3.3 - Utilising waste heat All exis
Page 118 and 119: 4.5 - Suomusjärvi olivine deposits
Page 120 and 121: material will change from a few % t
Page 122 and 123: Fig. 5 Schematic diagram of the PFB
Page 124 and 125: 8. Combined SO2 capture and CO2 min
Page 126 and 127: Fig. 10 Carbonate- (left) and sulph
Page 128 and 129: [13] Ekdahl, E., Idman, H. Statemen
Page 132 and 133: HEAT Fig. 1. Scheme and main reacti
Page 134: (raw) materials pre-heating and AS
Page 137 and 138: Fig 3- Aspen Plus® model 110
Page 139 and 140: Table 4. Elemental and XRD analysis
Page 141 and 142: the ÅA CSM route. The content of M
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Abstract: PROCEEDINGS OF ECOS 2012
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moisture - 0,2237 ash - 0,0876 LHV
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2.2 CFB plant For the current momen
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The CO2 emission factor which indic
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The CO2 emission factor calculated
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Appendix A Fig A.1. Simulation mode
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(b) Fig. A.2. Simulation model of C
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Table A.1. Calculated parameters at
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References [1] Pfaff I., Oexmann J.
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with a CC installation could be avo
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2.3. Basic CHP plant indices. The b
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3. Off-design calculations The main
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Fig. 6. CHP plant efficiency Fig. 7
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amount of steam delivered to the he
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[5] Lukowicz H., Mroncz M.: Analysi
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water removal is feasible by coolin
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Figure 2. Sketch of the suggested P
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a b Figure 5. a) Exergy balance of
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The basis of comparison of each met
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Figure 7a. Impact of S/CATR on PCU
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However, more energy duty is requir
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3.1. JACOBIAN-ASPEN Interface ASPEN
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Fig. 3. Triple Pressure Bottoming S
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As seen from Table 1, the mass flow
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4. Conclusion Fig. 5. Partial Emiss
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[19] Yantovski E., Shokotov M., Sho
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investigation and the developing of
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University of L’Aquila and German
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hydrogen combustion technology at d
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eversibility of a pre-treated synth
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Fig. 1. TG curves collected for spe
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(see Fig 5). Carbon dioxide uptake
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period is reduced to the first 15 c
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CO2 capture capacity up to 150 th c
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the way for biogas utilisation is t
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projectand is described in the foll
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4. Pilot plant tests In order to de
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Concerning the absorption reaction,
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with Regeneration (AwR), consists i
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[25] Aspen Plus 2004.1. Cambridge,
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systems for fuel drying waste strea
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heated in a heat exchanger placed i
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Fig. 2. Lower heating value of fuel
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Acknowledgements The results presen
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large amount of CO2 [1,5-7]. APCr a
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N 1 i ( x x i n 1 m ) 2.3. Carbon
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DTA analysis of the untreated APCrs
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Table 4. Relative Error (%) of the
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CaO HCl CaCl H O 193kJ / mol (
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[1] M. Fernández Bertos, S.J.R. Si
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2. Process development 2.1. Backgro
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to dissolve the chloride salts prec
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The remaining 25% (5 ml/min) of the
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Table 6. Experimental conversions o
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p p 1 1. 5 p H 1 1. 5 2O p mi
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Calculating from the Aspen Plus mod
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[11] Mattila, H.-P., Experimental s
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Mg2SiO4(s) + 2CO2(g) →2MgCO3(s) +
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(Mg/Fe) of the mineral rock, Mg-sil
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Figure 2. Effect of Mg/Fe ratio of
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Figure 4 shows that an increase in
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Figure 5. Process flow diagram of M
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2. Only cold utility is needed belo
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extraction process at 400 °C (~ 62
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Table A2. Extraction equations and
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[13] Teir S, Kuusik R, Fogelholm CJ
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In the area of coal technologies al
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Tabel 1. Characteristics quantities
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N m eT 4a ~ T cp T4a 1 ( K
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Auxiliary power rate of ASU, % 40 4
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[8] Buhre B.J.P., Elliott L.K., She
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1.1 - Cement Manufacturing The ceme
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2. Numerical model The purpose of t
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-0.309x15.77x2 2.085x3 240x4 12.53x
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Table 4 - Results of the optimizati
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1. Define the studied system (in th
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cycle) or a lignin extraction plant
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limiting factor for the maximum siz
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Table 5. Key data for the four ener
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Global CO 2 emissions [ktonnes/yr]
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for biofuels and the investment cos
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The possibility to capture CO2 from
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[17] Berglin N, Andersson L. Proces
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Therefore NL Agency (an agency of t
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2.2.2. Pinch analysis Pinch analysi
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3. Case study 3.1. Plant and proces
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Te 1000 mp era 900 tur 800 e [°C 7
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Application of the approach led to
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The advantage of dynamic models is
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e equal at both time intervals and
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2.5. Selecting the number of TSs Se
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A) Time Slices for solar thermal en
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The first step of procedure is to p
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cTSs demand TS solar TSs 0 2 4 6 8
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In the presented paper a framework
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[5] Erdil E, Ilkan M, Egelioglu F.
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district energy network simulation
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were decreased by 10°C.All scenari
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Site 3 Heat sources Heat load Site
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3.2.2. Input data and assumptions A
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Fig.7 shows the operation forecast
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[13] TERMIS Operation User Guide, 7
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Polygeneration is a term used to de
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The increase in energy utilization
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are available for an entire year, 8
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6. Extensions to core methodology 6
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thermal storage and possible suppor
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laterites. Ore Geology Reviews, v.
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gasification [15], hybrid biomass g
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the second reactor. In this unit, s
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The variables effect was evaluated
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atio, as well as the shift-syngas f
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Fig. 4. Effect of operating tempera
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SDG has slight effect on the syngas
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[26.] Castle WF. Air separation and
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1. Introduction - Firenze University Press

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