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Kinetic and Stochastic Modeling and Simulation of Fission Product Activity in Primary Loop of a Typical Pwr

Thesis Info

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Author

Iqbal, Muhammad Javed

Program

PhD

Institute

Pakistan Institute of Engineering and Applied Sciences

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2008

Thesis Completion Status

Completed

Subject

Physics

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/469

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726567137

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Muhammad Javed Iqbal, PhD, Department of Physics & Applied Mathematics, PIEAS, May, 2008."Kinetic and Stochastic Modeling and Simulation of Fission Product Activity in Primary Loop of a Typical PWR”; Supervisor: Dr. Nasir M. Mirza; Co-Supervisor: Dr. Sikander M. Mirza; Department of Physics & Applied Mathematics, PIEAS, Nilore 45650, Islamabad. In comparison with emerging power systems, the Pressurized Water Reactors (PWRs) have many times higher post shutdown radiation levels, originating partly from the fission products released to the primary coolant from defective fuel pins in the core. This results in prolonging the maintenance schedule and translates into substantial economic costs. To minimize the plant maintenance time and to reduce the radiation dose for plant operators and general public, a detailed knowledge of radioactivity buildup and its kinetics is essential. In this work, a detailed methodology has been developed for modeling and simulation of kinetics of fission product activity in primary coolant loops of typical PWRs under steady-state and power transients. For this purpose, a detailed three-stage methodology has been developed and implemented in the computer code FPCART, which uses LEOPARD and ODMUG codes as its subroutines. It has been coded in Fortran-77 and uses adaptive Runge-Kutta-Fehlberg algorithm as its base ODE- solver. Mathematical model is based on a coupled system of first order, ordinary differential equations governing the kinetics of dominant fission products within the fuel, fuel-clad gap, and the primary coolant loops. Code is capable of handling power transients, and takes into account the effects of purification system as well. Simulation of fission product activity in primary coolant under flow-rate transients have also been performed by using a two-stage model from fuel to fuel-clad gap and then from gap to primary coolant region. A one-dimensional nodal-scheme has been developed for modeling the behavior of fission products in the primary circuit. For normal constant power operation, results of over 39 fission products show that activity due to fission products in the fuel region of PWRs is dominated by 134 I and is followed by 134 Te and 133 I. The value of the fission product activity in fuel region predicted by FPCART code has been found to agree with-in 0.36% range with the corresponding values found by using the ORIGEN-2.0 code. The predictions of FPCART code for primary coolant activity have been found in good agreement with corresponding values of ANS-18.1 Standard as well as with some power plant measured data with 2.4% deviation in the value of specific activity of the dominating fission product 134 I. Similarly, xviifor constant power operation and constant flow rate, results for 15 major fission products show that the activity in the primary coolant circuit of PWRs is dominated by 133 Xe and it is followed by 135 Xe, 131M Xe and 129 Te which contribute 40%, 12.9%, 11% and 8.2%, respectively, to the total fission product activity. These simulations indicate a strong dependence of saturation values of specific activity on primary coolant flow rate. For pump coast-down having a characteristic time t p ~ 2000 h, an 8.6% increase has been observed in the value of total specific activity due to fission products. For increasing t p values, the value of maximum specific activity due to fission products shows a rise followed by an approach towards a saturation value. The simulation of primary coolant activity due to 85 Kr, 87 Kr and 135 Xe chains, have been carried out using classic Runge-Kutta (RK4), adaptive Runge-Kutta-Fehlberg (RKF), Adams-Bashforth-Moulton (ABM) and Semi-Implicit-Extrapolation (SIA), with later two as stiff solvers. Deviations were observed between the corresponding predictions between the lumped and un-lumped systems, especially, during the initial phase of the simulations. Finally, a stochastic model has been developed for simulation of fuel failure time sequences by sampling time dependant intensity functions. Then the three stage model based deterministic methodology of FPCART code has been extended to FPCART-ST, which simulate the random fuel failure sequences followed by burst release of radioactive contents present in fuel-clad gap at that time, into primary coolant coupled with power transients. The value of the 131 I activity in primary coolant predicted by FPCART-ST code has been found in good agreement with the corresponding values measured at ANGRA-1 nuclear power plant. The predictions of FPCART-ST code with constant release option have also been found in good agreement with corresponding experimental values for time dependant 135 I, 135 Xe and measured during EDITHMOX-1 experiments. Kr concentrations in primary coolant
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سی حرفی : ۸

سی حرفی ۔۸
(تن بیتاں وچ مکمل)
الف
آماہی، ’ب‘ بہت تھکی، ت تاہنگ تیری پئی مار دی اے
ث
ثابتی نہیں، ’ج‘ جگر باہجوں، ’ح‘ حالت گئی گھر بار دی اے
خ
خوشی گئی، ’د‘ دکھ بہتے، ’ذ‘ ذکر تے فکر سب یار دی اے
ر
رب وارث، ’ز‘ زاریاں دا، ’س‘ سک حنیف دیدار دی اے

ش
شوق لگا، ’ص‘ صادقاں دا، ’ض‘ ضعف نہیں کجھ نتار دا اے
ط
طوق پیا، ’ظ‘ ظالماں دا، ’ع‘ عاشقاں ہانگرا دار دا اے
غ
غم لگا، ’ف‘ فکر ڈاہڈا، ’ق‘ قسم مینوں شوق یار دا اے
ک
کون کٹے، ’ل‘ لکھ دتا،’م‘ مویاں نوں یار کیوں مار دا اے

ن
نیہہ ڈونگھی، چڑھی گھٹ کالی، اساں لنگھنا پہلڑے پور یارو
و
واہ کوئی نہیں، ہور راہ کوئی نہیں، ’ہ‘ ہڑ دا سماں ضرور یارو
لا
لا مکان دا پتہ دسے، ’ی‘ یاد نہ مان غرور یارو
ے
یار حنیف بھلائی دنیا، کیڈ پائے نیں عشق فتور یارو
سی حرفی۔۹
(ہک بیت وچ اٹھ حرف)
الف
الٰہی، میل ماہی نوں، ’ب‘ برے دن آئے نیں
ت
تلوار برہوں دی لٹکے، ’ث‘ ثواب کمائے نیں
ج
جوانی آخر فانی، ’ح‘حائل غم آئے نیں
خ
خوف حنیف وچھوڑے اندر، ’د‘ دکھاں دے سائے نیں

ذ
ذکر تیرے وچ رہندی، ’ر‘ رخ ویکھاں ماہی دا
ز
زیارت لکھ ثواباں، ’س‘ سوہنا چن چاہی دا
ش
شوخاں دے ناز نہورے، ’ص‘ صفا دل چاہی دا
ض
ضدی سنگ دل حنیف اے، مان حسن دی شاہی دا

ط
طواف کریں دن راتیں، ’ظ‘ ظالم کوئی خبر نہیوں
ع
عشق دے کٹھے عاشق، ’غ‘ غصہ تے جبر نہیوں
ف
فائدہ کی شکویاں سندا، ’ق‘ قسمت وچ اجر نہیوں
ک
کتھے چھڈ گیوں ماہی، کجھ حنیف نوں صبر نہیوں

ل

Efforts to Improve the Creative Economy During the Covid-19 Pandemic in Asean Countries

Increasing the creative economy during the pandemic is very urgent, as an effort to stabilize the economy in ASEAN. The character of the creative economy is characterized by economic activities that are based on the exploration and exploitation of creative ideas that have high selling value. All tourism ministers from ASEAN countries to strengthen tourism cooperation, one of the economic sectors hardest hit in the pandemic. Intelligent marketing is needed in order to know the strengths of our competitors and market tastes, because in the era of globalization, war is actually a war in the economic field and the creative economy is the main weapon. Strong cooperation in efforts to jointly handle the impact of COVID-19 in the tourism sector in the ASEAN region. All ASEAN members to jointly enhance cooperation not only in dealing with pandemic problems but also in terms of developing the creative economy.

Pakistans Cotton and Textiles Exports to the European Union: Competition, Trade Barriers, Future Prospects and Outlook

The study, which primarily aimed at analyzing the European Union’s imports from Pakistan, finds that there exists a strong correlation between the EU’s total textiles and clothing imports and her imports from Pakistan. Same is true as far as the various categories of 26, 65 and 84 in textiles and clothing imports are concerned. Pakistan’s performance seems satisfactory especially in case of 26-category textiles, while the imports of 65-category and 84-category textiles need improvement. It is good for Pakistan that her rates of growth in 65 and 84 categories of textiles imports by the EU are relatively higher than the EU’s own total imports. Pakistan needs to maintain not only its present growth rates but she should also make efforts to get more shares, especially in 65 and 84 category textiles in EU market, as these two category belong to value added textiles. The study identifies 45, 217 and 94 the EU’s preferred 5-digit textile and clothing products, and reveals that eight Pakistani 5-digit 26-category products (with SITC codes 26339, 26310, 26902, 26490, 26721, 26901, 26652 and 26711) have attained positions in the EU’s first 20 preferred products list, while remaining 12 the EU’s preferred products have fallen into Pakistan’s relatively less preferred products list. In case of 217 5-digit 65-category products, only 14 Pakistani products (65843, 65841, 65842, 65221, 65847, 65234, 65133, 65243, 65851, 65232, 65242, 65184, 65892, and 65859) have got positions in the EU’s first 50 preferred products list. In case of the EU’s preferred 5-digit 84-category textiles products, only three Pakistani products (84140, 84629 and 84371) have attained positions in the EU’s first 20 preferred products list. These facts warrant attention of Pakistan’s textiles and clothing manufacturer, exporters and policy makers for improving quality for meeting the EU’s standards. The study finds that the EU has imposed different levels of tariffs based on the primary commodities, semi-processed and processed products, and these rates are enhanced along with the levels of processing of the products, and Pakistan is adversely suffering because of the stated the EU’s policy. In addition, the EU has put various countries in three different schemes of Generalised System of Preferences (GSP) namely, standard GSP arrangements, GSP + and EBA. Pakistan imports to the EU are presently facing general GSP arrangements, and is not benefiting from the other two relatively more beneficial schemes, presently available to a number of Pakistan’s competitors in textiles. Pakistan understands that her imports to the EU are subject to a number of non-tariff barriers (NTBs) including various standard procedures set under WTOs agreements in the disciplines of government procurement, services, investment, trade facilitation, trade defence, standards, intellectual property rights, competition policy, and rules of origin. From Pakistan’s point of view, if the EU goes for having FTAs with some of Pakistani viicompetitors, then Pakistan would face serious adverse effects due especially to the WTO related standard procedures. Based on findings of the study and conclusions drawn, this study forwards certain recommendations. Study finds Pakistan’s performance especially in cases of 26 and 65-category textiles satisfactory, and recommends that the imports of 84-category textiles from Pakistan to the EU should also be given priority, being the value added products. In case of the individual major categories (26, 65 & 84), the following 5-digit products, being the EU’s most preferred products, should be given priority, in particular. (a) The eight Pakistani 5-digit 26-category products (SITC codes: 26339, 26310, 26902, 26490, 26721, 26901, 26652 and 26711) have attained positions in EU’s first 20 preferred products list, while remaining 12 the EU’s preferred products (Table 4.30a) have fallen into Pakistan’s relatively less preferred products list; Pakistan should improve the quality of these products to attain better position in the EU’s 5-digit 26-category market. (b) In case of 217 5-digit 65-category products, only 14 Pakistani products (65843, 65841, 65842, 65221, 65847, 65234, 65133, 65243, 65851, 65232, 65242, 65184, 65892, and 65859) have got positions in the EU’s first 50 preferred products list; the remaining 36 the EU’s first category preferred products (Table 4.31a) should now be having attention of Pakistani stakeholders. (c) In case of the EU’s preferred 5-digit 84-category textiles products, only three Pakistani products (84140, 84629 and 84371) have attained positions in the EU’s first 20 preferred products list; the remaining 17 products (Table 4.32a) should be given attention for a greater value-added import of the EU from Pakistan. (d) Policy makers of the EU and Pakistan should take note of the fact that the EU policy of tariff escalation is discouraging value-addition textile trade from Pakistan. They should also take care of the concern that the EU has put Pakistan at disadvantage, comparing to its competitors, by putting Pakistan in the Generalised System of Preferences (standard GSP arrangements), and some of her serious competitors in more advantageous GSP + and EBA schemes. The EU’s officials and their Pakistani counterparts should also settle the problem of the existence of various non-tariff barriers (NTBs), and especially the affairs relating to the adoption of various standard procedures set under WTOs agreements in the disciplines of government procurement, trade in services, investment, trade facilitation, trade defence, products and processes quality standards, intellectual property rights, competition policy, and rules of origin. The EU should particularly be careful while going to have FTAs with some of Pakistan’s competitors as Pakistan would face serious adverse effects due especially to the non- or partial-adoption of the stated WTO related standard procedures. Pakistani stakeholders, especially the government, should take appropriate steps for an early and extensive adoption of WTO agreements and related standards and standard procedures. (e) Pakistani stakeholders (manufacturers, exporters and policy makers) would have to adopt the required and up-to-date quality standards (relating to the product, process and packing) while keeping costs under control. Government of Pakistan in particular should take arrangements for having inflation in control and making availability of inputs and resources ensured.