Understanding and predicting CO2 properties - Presentation by Richard Graham in the Effects of Impurities on CO2 Properties session at the UKCCSRC Cardiff Biannual Meeting 10-11 September 2014
Understanding and predicting CO2 properties - Presentation by Richard Graham in the Effects of Impurities on CO2 Properties session at the UKCCSRC Cardiff Biannual Meeting 10-11 September 2014
IA on effect of temperature of NaOH on the rate of hydrogen production, and f...Lawrence kok
IA on effect of temperature of NaOH on the rate of hydrogen production, and finding Ea for reaction between aluminium and sodium hydroxide measured using a pressure sensor.
a detailed description of the chapter chemical kinetics (physical chemistry) including different problems by Dr. Satyabrata Si from KIIT school of biotechnology
IA on effect of temperature of NaOH on the rate of hydrogen production, and f...Lawrence kok
IA on effect of temperature of NaOH on the rate of hydrogen production, and finding Ea for reaction between aluminium and sodium hydroxide measured using a pressure sensor.
a detailed description of the chapter chemical kinetics (physical chemistry) including different problems by Dr. Satyabrata Si from KIIT school of biotechnology
Presentation given by Richard T. J. Porter from ETII, University of Leeds, on "CO2QUEST Typical Impurities in Captured CO2 Streams" at the EC FP7 Projects: Leading the way in CCS implementation event, London, 14-15 April 2014
Phase Behaviour and EoS Modelling of the Carbon Dioxide-Hydrogen System, Martin Trusler, Imperial College London. Presented at CO2 Properties and EoS for Pipeline Engineering, 11th November 2014
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
IA on effect of concentration of KOH on the rate of hydrogen production, between aluminium and potassium hydroxide.
1. net eqn
H2 fuel cell- acidic electrolyte
(-ve) (Anode) - Oxidation
2H2 → 4H+ + 4e−
+ ve (Cathode)- Reduction
4H+ + O2 + 4e− → 4H2O
2H2 + O2 → 2H2O O2
H2
PEM – made of Teflon
allow H+ ion to flow
Proton Exchange Membrane
H2O
Catalyst – platinum used anode/cathode
Effect of conc KOH on the rate of hydrogen production
Hydrogen is used for fuel cell.
Aluminium is reactive – but will not react with acid as it forms a stable aluminium oxde layer.
KOH is used to corrode away oxide layer, expose reactive AI metal.
KOH acts as a catalyst. Source of H2 using aluminium.
Find min conc, for rxn to happen.
Order of rxn will be determined.
Aluminium powder, strip, and foil will be tested
Al + 6H2O + 2KOH → 2K[AI(OH)4] + 3H2
2AI + 6H2O → 2AI(OH)3 + 3H2
Reaction mechanism
Procedure:
4ml 6M KOH added to 0.01g AI foil
Conc KOH – 2M, 3M, 4M, 5M, 6M
Pressure sensor will be used to measure the initial rate rxn.
Slope of pressure change over time – used as initial rate.
Assume conc KOH in excess, doesnt change much over time.
AI foil
2. y = 0.0005x2.1537
R² = 0.9174
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0 1 2 3 4 5 6 7
Rate
conc KOH/M
Conc KOH/M vs Rate
Effect of conc KOH on the rate of hydrogen production
All rxn water bath to control temp at 23C Rxn happen at 2M KOH
Pressure sensor to measure rate
Conc
KOH/M
Rate
kPa/s-1
2 0.0020
3 0.0089
4 0.0097
5 0.01342
6 0.02915
Data collected.
Slope was taken for 1st 120s Outlier at 2M and 6M
Power fit taken, y= 0.0005x2.15
To find the order – Rate = k[KOH]2.15
Order is 2.15
3. Effect of conc KOH on the rate of hydrogen production
All rxn water bath to control temp at 23C Rxn happen at 2M KOH
Pressure sensor to measure rate
Data collected.
Slope was taken for 1st 120s Without outlier
Power fit taken, y= 0.0036x0.8
To find the order – Rate = k[KOH]0.8
Order is 0.8 (close to 1)
Conc
KOH/M
Rate
kPa/s-1
3 0.0089
4 0.0097
5 0.01342
y = 0.0036x0.7802
R² = 0.8509
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
0.016
0 1 2 3 4 5 6
Rate conc KOH/M
Conc KOH/M vs Rate
4. Find order KOH
Let Rate = k[KOH]x
Rate = k[KOH]0.8
1st order respect to KOH
Expt Conc
KOH
Initial
rate
1 3 8.9 x 10-3
2 4 9.7 x 10-3
3 5 13.4 x 10-3
Effect of conc KOH on the rate of hydrogen production
Al + 6H2O + 2KOH → 2K[AI(OH)4] + 3H2
𝑅𝑎𝑡𝑒1
𝑅𝑎𝑡𝑒3
=(
𝐶𝑜𝑛𝑐1
𝐶𝑜𝑛𝑐3
)
x
8.9
13.4
=(
3
5
)
x
0.6641 = 0.664
x
X = 0.8
Conclusion:
- Min conc KOH for rxn to happen, 2M
- Order found from calculation and from power fit graph are similar, close to 0.8
- 1st order with respect to KOH
1. What is the activation energy for rxn bet AI + KOH
2. Which catalyst is better, NaOH or KOH?
3. Will reaction with KOH produce the same rate as NaOH
4. What is the order for the rxn bet AI + KOH, will it be 1st order
5. Is it possible for AI to react with HCI instead of KOH
6. AI will only react with HCI at a certain temp, which is above 60C.
7. What is the activation energy for AI with acid, HCI.
8. Will it be lower or higher than AI with KOH.
9. To find the purity of AI from various sources, like AI foil, Al metal and AI powder.
Possible research questions
% error =
(𝐿𝑖𝑡 𝑣𝑎𝑙𝑢𝑒−𝐸𝑥𝑝𝑡 𝑣𝑎𝑙𝑢𝑒)
𝐿𝑖𝑡 𝑣𝑎𝑙𝑢𝑒
x 100%
% error =
(1−0.8)
1
x 100%= 20%
5. Graphical Representation of Order :ZERO, FIRST and SECOND order
ZERO ORDER FIRST ORDER SECOND ORDER
Rate – 2nd order respect to [A]
Conc x2 – Rate x 4
Unit for k
Rate = k[A]2
Rate = kA2
k = M-1s-1
Rate
Conc reactant
Rate
Conc reactant Conc reactant
Conc Conc Conc
Time Time Time
Time
Conc reactant
Rate
Time
ln At
Time
1/At
kt
A
A o
t
]
[
]
[
Rate = k[A]0
Rate independent of [A]
Unit for k
Rate = k[A]0
Rate = k
k = Ms-1
Rate vs Conc – Constant
Conc vs Time – Linear
Rate = k[A]1
Rate - 1st order respect to [A]
Unit for k
Rate = k[A]1
Rate = kA
k = s-1
Rate vs Conc - proportional
Conc vs Time
kt
A
A
e
A
A
o
t
kt
o
t
]
ln[
]
ln[
]
[
]
[
[A]t
[A]o
kt
A
A o
t
]
[
1
]
[
1
ln Ao
1/Ao
Conc at time t Conc at time t
6. Order of rxn found using THREE mtds
Initial Rate mtd
(Multiple Single Runs)
Conc Vs Time Mtd
(Half Life)
Conc Vs Time Mtd
(Whole Curve/Tangent)
Multiple Single Runs
Vary/Keep certain conc fixed
Wasteful as multiple runs needed
Monitor decrease in conc reactant
Using Half Life to determine order
Monitor decrease conc of single reactant
Using gradient/ tangent at diff conc
Conc x2 – rate x2 - 1st order
Conc x2 – rate x4 – 2nd order
Conc x2 – rate 0 – zero order Convert Conc Vs Time to Rate vs Conc
Rate Vs Conc – Linear – 1st Order
Initial Rate taken, time 0
Draw tangent at time 0
Half Life directly prop to Conc
Half Life inversely prop to Conc
Expt Conc
A
Conc
B
Initial
rate
1 0.01 0.02 2
2 0.01 0.04 4
3 0.02 0.02 4
Conc
Time
Expt 2
Expt 1
Conc reactant
Time
Zero order
Conc reactant
Time
Half Life constant
1st order
2nd order
Conc reactant
Time
Gradient at diff conc
Conc
Rate