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New methods and applications to explore the dynamics of least-cost technologies in geospatial electrification modelling
Access to modern energy services is a pre-requisite for sustainable development. As such, Sustainable Development Goal (SDG) 7 aims to ensure access to affordable, reliable, sustainable and modern energy for all. However, as of 2021, 675 million people lack access to electricity, and 2.3 billion people lack access to clean cooking fuels. Electricity in particular can bring benefits to many sectors of society, including households, health facilities, educational facilities, agricultural activities and businesses. Providing such access in currently underserved areas at the lowest cost requires an integrated approach, utilizing a combination of extension of the centralized grid networks, deployment of mini-grids and stand-alone technologies. Given the need for an integrated approach to increase access to electricity, geospatial electrification tools have been developed and used to inform policy- and decision-making. These tools are a category of energy system tools that draws on geospatial information to understand which technology to use where, depending on the local characteristics of each settlement in a country or region as well as the existing energy infrastructure. The number of geospatial electrification tools and analyses have seen a steep increase since the start of the millennia, particularly since the 2010’s. Some of these tools and analyses use simpler analytical expressions to estimate the least-cost technology in each location, whereas others provide detailed design of transmission, distribution and generation systems. Geospatial electrification tools and analyses are increasingly used for decision-making and planning purposes towards the achievement of universal access to electricity. This dissertation aims to advance the state of the art in geospatial electrification modelling to support electrification efforts. In particular, the thesis examines the dynamics between the three types of electricity supply technologies (grid-extension, mini-grids and stand-alone technologies) under different modelling ...
New methods and applications to explore the dynamics of least-cost technologies in geospatial electrification modelling
Access to modern energy services is a pre-requisite for sustainable development. As such, Sustainable Development Goal (SDG) 7 aims to ensure access to affordable, reliable, sustainable and modern energy for all. However, as of 2021, 675 million people lack access to electricity, and 2.3 billion people lack access to clean cooking fuels. Electricity in particular can bring benefits to many sectors of society, including households, health facilities, educational facilities, agricultural activities and businesses. Providing such access in currently underserved areas at the lowest cost requires an integrated approach, utilizing a combination of extension of the centralized grid networks, deployment of mini-grids and stand-alone technologies. Given the need for an integrated approach to increase access to electricity, geospatial electrification tools have been developed and used to inform policy- and decision-making. These tools are a category of energy system tools that draws on geospatial information to understand which technology to use where, depending on the local characteristics of each settlement in a country or region as well as the existing energy infrastructure. The number of geospatial electrification tools and analyses have seen a steep increase since the start of the millennia, particularly since the 2010’s. Some of these tools and analyses use simpler analytical expressions to estimate the least-cost technology in each location, whereas others provide detailed design of transmission, distribution and generation systems. Geospatial electrification tools and analyses are increasingly used for decision-making and planning purposes towards the achievement of universal access to electricity. This dissertation aims to advance the state of the art in geospatial electrification modelling to support electrification efforts. In particular, the thesis examines the dynamics between the three types of electricity supply technologies (grid-extension, mini-grids and stand-alone technologies) under different modelling ...
New methods and applications to explore the dynamics of least-cost technologies in geospatial electrification modelling
Sahlberg, Andreas (author)
2023-01-01
Theses
Electronic Resource
English
DDC:
690
System Dynamics Modelling of Railway Electrification in Latvia
| Online Contents | 2020