Unlocking Mini-Grids for Sustainable Development in Fiji

This presentation outlines a project focusing on electricity exposure assets for sustainable development in Fiji, covering background, data collection, risk analysis, and conclusions. Learn about PCRAFI and the Pacific Catastrophic Risk & Financing Initiative, along with tools used for exposure surveys and data modeling. Explore data collection aids and details of electricity asset attributes collected during the process.

• Sustainable Development
• Fiji
• Electricity
• PCRAFI
• Data Collection

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1. UNLOCKING MINI-GRIDS FOR SUSTAINABLE DEVELOPMENT ELECTRICITY EXPOSURE ASSETS PCRAFI/PARTneR Heilala Conference Room, SPC Narere Campus: Suva, Fiji: 26 30 June 2023

2. PRESENTATION OUTLINE 1. 2. 3. 4. BRIEF BACKGROUND OF THE PROJECT OVERVIEW OF EXPOSURE SURVEYS, QA/QC & DATA COLLECTION TEMPLATE MODELLING OVERVIEW (RISK ANALYSIS & REPLACEMENT COSTS) CONCLUSION

3. PCRAFI BRIEF BACKGROUND Pacific Catastrophic Risk & Financing Initiative (PCRAFI) was launched in launched in 2006 Phase I started in 2007 & Phase II in 2016/2019 The Project aims to improve and update PacRIS and contribute towards strengthening the disaster risk finance and insurance capacity of PICs to provide coverage against the potential impacts of natural hazards, through the PCRAFI Program Develop disaster risk assessments tools and practical technical and financial applications to reduce and mitigate the impacts of natural hazards in 14 Pacific Island Countries For further information on PCRAFI II, please visit: https://gem.spc.int/projects/capacity-building-on-the-hazard-and-exposure-database-for-pacific- catastrophe-risk

4. OVERVIEW OF EXPOSURE SURVEY, DATA PROCESS & RISK/HAZARD MODELLING 1 2 3 Assets Exposure Data Collection Survey Modelling of Exposure data Desktop Review & Data Preparation (Identify & gather existing geospatial datasets & identify gaps) QA/QC Risk Tools/Replacement Cost Conduct Assets Exposure Data Collection Training Uploading datasets into PacRIS

5. DATA COLLECTION- AIDS/MATERIALS KoBo Toolbox (Humanitarian) QGIS software & QField app Smartphones/ Tablets (or TDG 600 Handheld GPS)

6. DATA COLLECTION -ELECTRICITY ASSET ATTRIBUTES COLLECTED 4. ASSET MATERIAL 1. GENERAL INFORMATION a. Steel a. Global Positioning System (GPS) Location b. Concrete b. Name/Description c. Steel & Concrete c. Minimum Of 2 Photos d. Other 5. TRANSFORMER TYPE MOUNTING TYPE a. Pad mounted 2. ASSET TYPE b. Pole mounted a. power plant b. transformer 6. OWNERSHIP c. substations a. Private - individual or organization b. Government 3. SOURCE TYPE c. State own enterprise own by business arm of government a. renewable d. Independent Power Producer private entities b. non-renewable 7. CONDITION

7. DATA COLLECTION TEMPLATE 1. Electricity field data collection template : https://drive.google.com/file/d/1B9lxFJ5JUTN_WK_sXs81aXUtDqaBHyrs/view?usp=sharing 2. Sample of data collected on PacRIS : PACIFIC RISK INFORMATION SYSTEM (SPC.INT) 3. Other data collected: Demography, Infrastructures, Utilities etc..

8. MODELLING-RISK ANALYSIS Electricity Assets Data Risk Analysis & Replacement Cost modelling

9. MODELLING-RISK ANALYSIS Risk Analysis Workflow via Riskscape Modelled Exposure Layer PCRAFI 1/2 Nexus/risk.spc.int Replacement Cost (UUC) Modelling Standalone Python Process Tools RiskScape Hazard Analysis Riskscape/QGIS RiskScape software provides a risk analysis framework for calculating natural hazards consequences Nexus/risk.spc.int

10. CONCLUSION Why hazard risk assessment/assets exposure modelling Planning - Knowing where to set up mini-grids - Hazard areas and risk involved - The presence of infrastructures, utilities, demography, number of houses Estimated Cost Replacement