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Environmental chemistry research at Energy Rese a rch Centre

Dive into the framework of decision-making in Hungary's energy sector with a focus on economic, social, and environmental criteria. Explore the importance of criteria selection, weighting, and ranking of energy generation alternatives through a detailed evaluation of various scenarios. Gain insights into the transition towards renewable energy sources while ensuring supply security by 2025.

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Environmental chemistry research at Energy Rese a rch Centre

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  1. Environmental chemistry research at Energy Research Centre • Szabina Török D.SC. • János Osán Ph. D. • Margit Fábián Ph.D. • Endre Börcsök • Veronika Groma • Felicián Gergely

  2. I. Decisions in energy sector with using multi-criteria decision analysiswitheconomic, social and environmentalcriteriaEndreBörcsök , János Osán, Szabina Török

  3. Framework of decision project Expectations to the evaluation methods: well defined and thematically structured criteria transparent numerical evaluation Some methods of our earlier studies in NEEDS and EFDA project:

  4. Framework of decision project Important to make clear which part of life cycle is taken into consideration in evaluation method

  5. Definition of problem and collection of scenarios MCDA pilot project in Hungary Hungary will need new installed electricity generation capacity of 7,000 MW in the near future because of the phasing out of old power plants and the measure up to EU expectation to increase the renewable electricity ratio. Many scenarios with different primary energy mix were published in last years to ensure supply security in Hungary by 2025. In our study five scenarios were compared, dominated by: natural gas, nuclear, hard coal & lignite and renewable power plants.

  6. Criteria selection Establishment of criteria: There are many examples of the criteria and indicators relevant to sustainable development that has been established by international and national organizations. No simple rule exists for the optimum number of criteria. Since the weights have to be estimated from comparisons between criteria pairs this limits usually the number of criteria considered. 1., Starting point  38 indicators International Atomic Energy Agency (IAEA) in cooperation with many other international organizations (UNDESA, IEA, EEA) started to define a set of Energy Indicators for Sustainable Development in 2001 2., Paul Scherrer Institute (PSI) reduced the number of indicators using general criteria in 2006  18 indicators 3., Stronger marginal conditions were reduced the number of criteria in our survey  15 indicators

  7. Criteria selection

  8. Weighting of criteria Comparison of the importance of criteria: The opinion of stakeholders can be taken into account in the weighting of the criteria based on surveys with questionnaires including pairwise comparisons A well structured criteria set was necessary to minimize the number of pairwise comparisons This pragmatic approach is also important for the questionnaires since the participants’ carefulness with the answers becomes wearied Our survey was carried out using a questionnaire of 33 comparative pairs No discrete categories were used for the ratios of importance, which makes the completion of the questionnaires more difficult, but we did not want to include extra restrictions. The evaluation of the filled questionnaires resulted in pairwise comparison matrices, of which the criteria weights and the consistence of answers were determined by eigenvalue method using the ExpertChoice decision support software Based on the evaluation questionnaires with inconsistent answers could be filtered out

  9. Weighting of criteria Weighted criteria:

  10. Ranking of energy generation alternatives The ranking of alternatives based on the weighted sum of scores. (Highest scores represent the best acceptable technology.) The following future (2025-2030) technologies were considered: third-generation nuclear power plant (PWR), lignite and hard coal integrated gasification combined cycle, natural gas combined cycle, biomass (woodchips), hydropowerfrom run off river <100MW , on-shore wind, solar PV

  11. Ranking of energy generation alternatives Since the economic, environmental and social pillars were evaluated separately, the ranking can be discussed in view of each single pillar, as well as in total.

  12. Comparison of scenarios Evaluation of the five scenarios using MCDA: Starting point is the weighted sum of indicator values calculated from the ratio in the energy mix of the produced electricity The sum of indicator values were converted to scores in the 0-100 interval, the sum of the resulting 15 scenario scores multiplied by the criteria weights gives the basis of comparison Four out of the five scenarios necessitate the installation of energy storage capacity, causing extra costs and environmental damages. These supplementing investments worsen the results of the given scenario for almost all criteria, e.g. by higher investment costs or increased adverse environmental effects. Only the increased number of job opportunities was considered as positive, increasing the final score.

  13. Comparison of scenarios Composition of renewable electricity generation and MCDA evaluation results (2025)

  14. Ranking of renewable technology alternatives and power scales. Complex evaluation yields worse scores than economic evaluation for combustion-based technologies and geothermal energy mostly due to negative environmental effects

  15. II. Radionuclide release in a nuclear repository(Critical waste confinement time) Corrosion HLW HLW Radionuclide release Water influx Association to colloids Sorption to minerals After Denecke et al.

  16. Boda ClaystoneFormation & OpalinusClay Opalinus Boda

  17. BCF samples treated with Ni(II) solution Ni Rb Ti Fe K Mn Sr Ca D-11 r=0.95 µ-XRF r=0.85 r=-0.25 µ-XRD

  18. III: Air quality research • Fine and ultrafine aerosol fraction (d < 2.5 µm) • respirable aerosol – important health effects • climate effect – optical characteristics, chemical composition, structure • time dependence of physical and chemical characteristics • meteorological circumstances, mobile sources (traffic) • Characteristics of sources – „fingerprints” • chemical composition • air concentration of major and trace components • compounds, chemical forms • morphological parameters (diameter, shape)

  19. Size distribution of aerosol particles

  20. Health effect: stochastic lung model calculations medium deep breathing, HP = 5 s, BH = 0 s, TV = 1.5 l EXTRA: extrathoracic region, TB: tracheobronchial region PUL: pulmonar (acinar) region Health effect of ultrafine particles might not be closely associated with particle mass, but 50 µg/m3 might be fatal, toxicity increases with decreasing particle size, e.g. inflammatory response depends on surface area Deposited fraction Particle diameter (µm) Figure courtesy: Imre Balásházy, MTA EK

  21. Application of synchrotron radiation • Size fractionated aerosol (sampling using cascade impactor) • elemental composition • increase of time or size resolution • test of new methods for laboratory applications (SR-XRF, SR-TXRF) • determination of chemical species • chemical form of major components (C, N, S), trace elements (XAFS, TXRF-XAFS) • organic compounds (ATOFMS) • Measurement of individual particles • chemical forms of light elements (STXM, XAFS) • distribution and chemical state of metals (µXRF, XAFS)

  22. Elemental composition – SR-TXRF • Aim: • development of analytical procedure based on cascade impactor sampling and laboratory or portable total-reflection X-ray fluorescence measurements • size fractionation and non-destructive determination of elemental composition of aerosols collected from small air masses • Standardization for routine measurements • Application of synchrotron radiation • versatility of measurement setup  test of samples and standards • better size and time resolution

  23. Sampling of size fractionated aerosol • Seven-stage May-type cascade impactor • d50 (20 l/min) 16; 8; 4; 2; 1; 0,5; 0,25 µm • Different sampling times possible on different stages • sampling: directly to reflector (Si wafer) • 20-3200 l airdepending on aerosol concentration and size fraction • Further development: • 9 stages (extension to 0.07-0.25 µm fractions) • Docking to avoid contamination and ease of sample change Deposited particles form a stripe of 200-500 µm width on the 20x20 mm2 Si plate

  24. SR-TXRF measurements • vacuum chamber [1] at HASYLAB beamline L • automatic sample loader, easy sample change • various sizes and shapes of samples can be measured [1] Streli C., Pepponi G., Wobrauschek P., Jokubonis C., Falkenberg G., Zaray G., 2005:. A new SR-TXRF vacuum chamber for ultra-trace analysis at HASYLAB, Beamline L. X-Ray Spectrom., 34, 451–455 • SR beam dimensions 1.4 mm (vertical) x 0.2 mm (horizontal) • SDD with 1.4 mm wide Mo slit collimator (sample geometry) • TXRF:E0=18.4 keV, ΔE/E=0.02 (multilayer monochromator)beam perpendicular to the strip: scan in order to test homogeneity of the deposited aerosol particles • beam parallel to the strip: measurement of the whole sample

  25. Standard development • Objective: put “aerosol like objects” with know composition mass and shape on Si plates mimicry a May-impactor stage after aerosol sampling • Institute for Materials Scienceexperience in growing micro and nano structures on Si surface • Reference chip for TXRF measurements:20x20 mm2 Si-plateon median 7 rows of 2250 objects with 2,7 µmdiameter 10–100 nm height Cr or „permalloy” (FeNi) with „lift-off” technique • Rectangular shape of Si is cost efficient Osán J, Reinhardt F, Beckhoff B, Pap AE, Török S. ECS Trans 2009, 25, 441–451 Reinhardt F, Osán J, Török S, Pap AE, Kolbe M, Beckhoff B. J Anal At Spectrom 2012, 27, 248–255

  26. SR-TXRF detection limit Sample volume: 1000 l Measurement time: 100 s Ring current: 100 mA A:sample strip perpendicular to beam B:sample strip parallel to beam V. Groma, J. Osán, S. Török, F. Meirer, C. Streli, P. Wobrauschek, G. FalkenbergTrace element analysis of airport related aerosols using SR-TXRFIdőjárás 112 (2008) 83-97

  27. TXRF results Size distribution of sulphur concentrations: in accordance with data obtained from high volume samples sulfate shows a maximum at ~ 0.3 µm for rural and ~ 0.7 µm for urbanaerosols Chlorine dominant in aerosols of marine origin

  28. TXRF results Heavy metals dominant in the submicrometer fractions  indicator of anthropogenic origin Zn and Pb are related to areas where traffic sources dominate

  29. BESSY II TXRF-NEXAFS measurements BESSY II (Berlin), PGM (PTB) plane grating monocromator beamline TXRF-NEXAFS: 2.5°, 274–330 eV, 396–425 eV, 0.1–0.5 eV steps, 10–30 s/point (information about C and N chemical forms) TXRF: 1222 eV, 1.2°, 300 s spectra (information on light elements, reference free analysis) BESSY II

  30. TXRF-NEXAFS spectra N-K absorption edge – (NH4)2SO4 – NaNO3 NEXAFS spectra of ammonium and nitrate containing particles as standards Mátra, stage 5(1-2 µm) Fit using linear combination of standard spectra ammonium/nitratemolar ratio can be determined (25%/75% present case)

  31. – st 7 NH4/NO3 95/5 – st 6 NH4/NO3 90/10 – st 5 NH4/NO3 50/50 – st 7 NH4/NO3 100/0 – st 6 NH4/NO3 100/0 – st 5 NH4/NO3 0/100 TXRF-NEXAFS spectra N-K absorption edge Terra Nova Bay (Antarctica) Impactor stage 7,6,5(0.25-0.5, 0.5-1, 1-2 µm) Alghero (Sardinia, Italy) J. Osán, S. Török, B. Beckhoff, G. Ulm, H. Hwang, C.-U. Ro, C. Abete, R. Fuoco Nitrogen and sulfur compounds in coastal Antarctic fine aerosol particles - an insight using non-destructive X-ray microanalytical methods, Atmos. Environ. 40 (2006) 4691-4702

  32. Air mass trajectories: Antarctica Impactor TXRF (O=1000) NEXAFSstage C N Na NH4+(%) NO3–(%) 7 9.4 63.8 310 95 5 6 2.0 19.5 1060 90 10 5 1.4 2.1 2050 50 50 Impactor TXRF (O=1000) NEXAFSstage C N Na NH4+(%) NO3–(%) 7 14.6 32.5 120 92 8 6 3.7 11.7 750 90 10 5 0.0 2.3 3740 40 60

  33. IV. Single particle analysis from environmental media • Statistical characterization of particulate matter for monitoring: • measurement of large numbers of particles • limited quantification • Specific environmental analysis: • Measurement of carefully selected particles • Usually complementary • Quantitative (trace) elemental analysis (EPMA, micro-XRF) • Chemical state of selected elements (micro-XANES) • Identification of crystalline phases (micro-XRD)

  34. Water pollution accidents • 20 Aug. 1995: Omai gold mine in Guyana  cyanide and heavy metal pollution of rivers Omai and Essequibo • 25 Apr. 1998: Alnazcollar mine in Spain  heavy metal pollution of river Guadiamar affected the Donana National Park • 30 Jan. 2000: gold extraction facility at Baia Mare, Romania  100 thousand m3 waste water with high concentrations of cyanide was spilled into the tributary of river Szamos • 11 March 2000: mine tailing failure at Baia Borşa, Romania  heavy metal pollution of river Tisza, the leached zinc content of the river grow to 230 µg/l and the lead was 130 µg/l

  35. Pollution site March 2000 April 2001 April 2002 Upper Tisza Region (Hungary) Sediment sampling sites April 2003 • Mine tailings failure at Baia Borşa11 March 2000 • Surface sediment and water sampling from the main riverbed of Tisza, Szamos and Túr • Sample preparation: Nuclepore, Si, Ag substrates

  36. XRF and EPMA results XRF No significant decrease of heavy metal concentrations was observed in the Szamos and Túr surface sediment EPMA • Pollution-related particle groups: pyrite, Mn and Zn-rich aluminosilicates, Zn-rich particles, observed also in the water samples • Average diameter and major elemental composition of particles could be determined

  37. SEI Pollution particles in river Túr 20 µm Measurement: JEOL 733 electron microprobe OXFORD Pentafet Si(Li) detectorMOXTEK AP1.4 thin window, E0 = 10 keV EPMA

  38. Pollution particles in river Túr Measurement:HASYLAB Beamline L white excitation, 70 µm 4 mm Al absorber µ-XRF • High amount of cadmium was present in the pollution particles in river Túr, in correlation with zinc concentration Osán J, Török S, Alföldy B, Alsecz A, Falkenberg G, Baik SY, Van Grieken R. Spectrochim. Acta Part B 62 (2007) 123-136

  39. Micro-XANES, Cu K-edge • Particles from the Tisza (2000) sediment sample • Particulate and diluted bulk standards • The co-existence of CuS and CuFeS2 is possible in particles 2 and 3 • 40 and 60 % of Cu was present as CuS in these particles

  40. Tire particles from wear • Emitted in various sizes ranging up to >100 µm. aerodynamic diameter, • Have a bimodal size distribution, with about 5% by mass of an aerodynamic diameter <1 µm • make up approx. 5-6% of all respirable (PM10) in the urban atmosphere • Debris loss of ground vehicle tire 5x106 kg/a in GB and 40x106kg/a in Italy • Of toxicity Zn and PAH

  41. Composition of tire tread • Synthetic rubber (polybutadiene, styrene butadiene rubber) major component • Natural rubber various % • Zn is added to tiretread rubber mostly as zinc oxide (ZnO) to facilitate vulcanization of the rubber Zn content of rubber tires reported in the literature range from 0.04 to 1.55% Zn literature suggests that tire-tread formulations have historically included about 2.5% Zn • Reinforcing filler carbon black and SiO2 • From the softening high viscosity aromatic oil 6-8% in tire mass and 11-16% in tread EC adopted in 2004 amending Council Directive 76/769/EEC, proposing restrictions on polycyclic aromatic hydrocarbons in extender oils and tires

  42. Tire debris sampling from runway

  43. Micro-XANES at Zn K edge measurement at HASYLAB DORIS Beamline LB-767 tire tread: 45 % ZnO, 55 % ZnCO3 (of total Zn) Runway swipe: mostly Zn in glass, max. 15 % ZnO

  44. Micro-XRD at HASYLAB SEI Particle (fragment) from original tire: Only ZnO found as crystalline phase

  45. Micro-XRD at HASYLAB Tire wear particle obtained from the runway: CaCO3 and SiO2 from runway surface, minor ZnO content

  46. Summary • Application of synchrotron radiation in analysis of environmental particulate matter • composition and chemical form can be determined from minute amount of particulate samples, even from single particles(absolute detection limit ~pg for light elements, ~fg for transition metals) • basically not intended for routine measurements, typically basic researchcareful selection and laboratory pre-characterization of samples to be measured (particles, particle types) is important before synchrotron radiation measurements • very useful in development of monitoring and laboratory X-ray analytical techniques for measurement of aerosol particles

  47. New researchfacility of UNESCO in Jordan

  48. Post doc 7 • Ph.D. students 2+6 +1 • University lecturers 4 (Budapest University of Technology, ELTE Science University) • Main international partners: PSI Switzerland, DESY Germany, Karlsruhe Institute of Technology, Brookhaven National Laboratory Human resources

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