INTRODUCTION Our Team Chad Petersen Methodology / Data Analysis Mxolisi Vilakazi Emission Factors /...
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![Page 1: INTRODUCTION Our Team Chad Petersen Methodology / Data Analysis Mxolisi Vilakazi Emission Factors / Data Analysis Bing NixData Analysis Nathan BursteinProject.](https://reader035.fdocuments.us/reader035/viewer/2022070401/56649f185503460f94c2ec1b/html5/thumbnails/1.jpg)
Carbon Emissions at UCTGreen Campus Rangers
Bing Nix, Mxolisi Vilakazi, Chad Petersen, Nathan Burstein
![Page 2: INTRODUCTION Our Team Chad Petersen Methodology / Data Analysis Mxolisi Vilakazi Emission Factors / Data Analysis Bing NixData Analysis Nathan BursteinProject.](https://reader035.fdocuments.us/reader035/viewer/2022070401/56649f185503460f94c2ec1b/html5/thumbnails/2.jpg)
INTRODUCTION
Our TeamChad Petersen Methodology / Data Analysis
Mxolisi Vilakazi Emission Factors / Data Analysis
Bing Nix Data Analysis
Nathan Burstein Project Leader
Our FocusElectricity at Residences
Graduate School of Business Campus
Hiddingh Campus
LPG
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TODAY’S PRESENTATION
• Project Execution
• Data Collection
• Data Analysis
• Analysis• Recommendations
• Calculation of Carbon Footprint
• Limitations & Challenges
• Reflection
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PROJECT EXECUTION
Stakeholder Buy-In
Create Collection &
Analysis Methodology
Collect Data
Report & Recommend on Findings
Analyse All Data
Report & Recommend on Findings
Initiation & Planning Execution Final Deliverables
Present Findings
Project Reflection
![Page 5: INTRODUCTION Our Team Chad Petersen Methodology / Data Analysis Mxolisi Vilakazi Emission Factors / Data Analysis Bing NixData Analysis Nathan BursteinProject.](https://reader035.fdocuments.us/reader035/viewer/2022070401/56649f185503460f94c2ec1b/html5/thumbnails/5.jpg)
DATA COLLECTION
Purchased Electricity Data
Purchased Gas Data
Emission Factors
Emissions Data
Data Analysis
RecommendationsCarbon Emission
Report
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DATA ANALYSIS: GSB
Monthly electricity consumption from GSB attributable to UCT.
Janu
ary
Febru
ary
Mar
chApr
ilM
ayJu
neJu
ly
Augus
t
Septe
mbe
r
Octob
er
Novem
ber
Decem
ber
80
90
100
110
120
130
140
150
160
170
2012
Average
Month
En
erg
y C
on
sum
pti
on
(K
Wh
)
Janu
ary
Febru
ary
Mar
chApr
ilM
ayJu
neJu
ly
Augus
t
Septe
mbe
r
Octob
er
Novem
ber
Decem
ber
80
90
100
110
120
130
140
150
160
170
2007
2008
2009
2010
2011
2012
Average
Month
En
erg
y C
on
sum
pti
on
(K
Wh
)
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DATA ANALYSIS: HIDDINGH
Monthly electricity consumption at the Hiddingh campus
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec0
2
4
6
8
10
12
14
16
2012
Month
En
erg
y C
on
sum
pti
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(M
Wh
)
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DATA ANALYSIS: RESIDENCES
Monthly electricity consumption across all residences.
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec0
200
400
600
800
1000
1200
1400
1600
2012
![Page 9: INTRODUCTION Our Team Chad Petersen Methodology / Data Analysis Mxolisi Vilakazi Emission Factors / Data Analysis Bing NixData Analysis Nathan BursteinProject.](https://reader035.fdocuments.us/reader035/viewer/2022070401/56649f185503460f94c2ec1b/html5/thumbnails/9.jpg)
Distribution of UCT’s emissions from electricity consumption across the areas covered in this report for 2012.
DATA ANALYSIS: ELECTRICITY
14%1%
85%
GSBHiddinghRes
18%
24%
30%
28%Liesbeck GardensForest HillObz SquareRochester
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Emission Source Emissions(Tons
CO2e/yr)
Contribution (%)
Hiddingh Electricity 115,51 0,96%
Residence Electricity 10006,48 83,18%
GSB Electricity 1599,81 13,3%
UCT LPG 307,5 2,56%
Residence LPG 16.93 0.13%
TOTALS 12029 100
CARBON EMISSION FOOTPRINT
Distribution of carbon emissions across all areas covered in this report
1%
3%
13%
83%
Res LPG
Hiddingh Electricity
Main Campus LPG
GSB Electricity
Res Electricity
5%
95%
Residence
Main Campus
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BENCHMARKING
Letete
• Emission Factors
• Data
• Hiddingh – New data made available• Residences – Estimates no longer used• LPG & Acetylene
• Other Universities
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LIMITATIONS & CHALLENGES
Multiple Data sources
Lack of granularity (Quality)
Data availability
Scheduling
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PROJECT REFLECTION
• Establish Communication Protocols
• Tools Employed• Meetings
• Building Trust Within in the Team
• Bring Meaning and Symphony
• Perspectives of Thinking
• Time Management
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CONCLUSION