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Spatially explicit electrification modelling insights Applications, benefits, limitations and an open tool for geospatial electrification modelling Dimitrios Mantis Doctoral Thesis in Energy and Environmental
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How to fill out spatially explicit electrification modelling

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How to fill out spatially explicit electrification modelling

01
Step 1: Define the study area and obtain spatial data such as population distribution, existing electricity infrastructure, and other relevant geospatial data.
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Step 2: Analyze the spatial data to identify areas that are unserved or underserved by electricity. This can be done by overlaying population data with existing infrastructure data and identifying gaps.
03
Step 3: Determine the criteria or factors that will be used in the electrification modelling, such as cost, distance from existing infrastructure, population density, etc.
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Step 4: Choose an appropriate modelling technique, such as optimization algorithms or machine learning, to create a spatially explicit electrification model.
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Step 5: Input the spatial data and criteria into the chosen modelling tool or software and run the model.
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Step 6: Evaluate and validate the model results by comparing them with ground-truth data or other reliable sources.
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Step 7: Use the model outputs to inform decision-making processes related to electrification planning, such as identifying optimal locations for new infrastructure investment, determining cost-effective strategies for electrification, or estimating the impact of different electrification scenarios.
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Step 8: Continuously update and improve the model as new data becomes available or as the electrification goals and objectives change.

Who needs spatially explicit electrification modelling?

01
Energy planners and policymakers who want to make informed decisions regarding electrification strategies and investments.
02
Electricity utilities and service providers aiming to expand their service coverage and improve access to electricity for underserved populations.
03
Non-governmental organizations and development agencies working in rural or remote areas, where electrification planning and implementation are critical for sustainable development efforts.
04
Researchers and academics studying energy access, electrification, and sustainable development.
05
Consultants and professionals involved in rural electrification projects, who need accurate and detailed spatial information to optimize project planning and implementation.
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Spatially explicit electrification modelling is a method used to calculate and analyze the distribution of electricity access across a specific geographic area, taking into account various spatial factors.
Utility companies and government agencies are typically required to file spatially explicit electrification modelling to ensure efficient and equitable energy distribution.
Spatially explicit electrification modelling is filled out by collecting data on electricity infrastructure, population density, geographic barriers, and other relevant spatial information to create a detailed model.
The purpose of spatially explicit electrification modelling is to identify areas that lack access to electricity, assess the impact of new electrification projects, and make informed decisions regarding energy infrastructure development.
Spatially explicit electrification modelling typically includes data on electricity grid coverage, population distribution, topographic features, and other spatial parameters that influence energy access.
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