Spatially uneven development and low carbon transitions: Insights from urban and regional planning

Balta‐Ozkan, Nazmiye; Watson, Tom; Mocca, Elisabetta

doi:10.1016/j.enpol.2015.05.013

Cited by 116 publications

(56 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Whilst on the surface this may seem like an obvious finding, it can have a number of important implications. For instance, there is growing awareness of the need to extend the structure of socio-technical transition theory to account for geographical issues such as the formation of spatial niches and the uneven rate of innovation diffusion in different locations (Coenen et al, 2012;Geels, 2012;Whitmarsh, 2012;Balta-Ozkan et al 2015;Schwanen, 2015). Research which focuses on these issues has the potential to contribute towards understanding the environmental conditions and contexts which promote sustainability transitions.…”

Section: Discussionmentioning

confidence: 99%

The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom

Morton

Anable

Yeboah

et al. 2018

Journal of Transport Geography

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom

Morton

Anable

Yeboah

et al. 2018

Journal of Transport Geography

View full text Add to dashboard Cite

show abstract

“…The GIS analysis of a settlement's suitability for grid connection uses two separate, yet complementary inputs 6 . First a settlement table referencing each settlement's position, i.e., its x and y coordinates on the GIS map, and its initial status in terms of electrification listed as either 1 (electrified) or 0 (non-electrified).…”

Section: Electrification Algorithmmentioning

confidence: 99%

The benefits of geospatial planning in energy access – A case study on Ethiopia

et al. 2016

View full text Add to dashboard Cite

Access to clean and affordable modern energy is crucial to fostering social and economic development and to achieving the Sustainable Development Goals. Efficient policy frameworks and effective electrification programs are required in order to ensure that people are electrified in a sustainable manner. These programs differ from country to country depending on geographic and socioeconomic conditions. Electrification planning process must consider the geographical characteristics of the resources as well as the spatial dimension of social and economic drivers of energy demand in order to find the most optimal energy access solution. Geographical theory and Geographic Information Systems (GIS) in particular can play a significant role in electrification planning, since they are capable of managing the data needed in the decision making process and may integrate and assess all possible options. This paper focuses on considering these characteristics by applying a recently developed GIS based methodology to inform electrification planning and strategies in Ethiopia. The paper illustrates two major aspects of energy planning; 1.) how the optimal electrification mix is influenced by a range of parameters -including population density, existing and planned transmission networks and power plants, economic activities, tariffs for grid-based electricity, technology costs for mini-grid and off-grid systems, and fuel costs for consumers and 2.) how the electrification mix differs from location to location. For a certain level of energy access, ongrid connections would be optimal for the majority of the new connections in Ethiopia; grid extension constitutes the lowest cost option for approximately 93% of the newly electrified population in this modelling effort with 2030 as time horizon. However, there are some remote areas with low population density where a mini-grid (ca. 6%) or a stand-alone solution (ca. 1%) are the most economic options. Depending on local resource availability, these systems deploy varied combinations of solar, wind, hydro and diesel technologies.

show abstract

“…The report highlights the need for strong policy intervention in order to achieve the scenarios envisaged. In the UK, the spatial variation in PV adoption and its implications for smart grid scenarios has been touched upon in the literature, but has yet to be fully explored [3,[16][17][18]. In particular, analyses have usually focused on the spatial distribution at a particular snapshot in time, whereas this research looks at the evolution of the spatial distribution in time and uses that to gain insight into the various determinants of that evolution.…”

Section: Smart Grid Scenarios and Policymentioning

confidence: 99%

Spatial and Temporal Characteristics of PV Adoption in the UK and Their Implications for the Smart Grid

Snape

2016

Energies

View full text Add to dashboard Cite

Distributed renewable electricity generators facilitate decarbonising the electricity network, and the smart grid allows higher renewable penetration while improving efficiency. Smart grid scenarios often emphasise localised control, balancing small renewable generation with consumer electricity demand. This research investigates the applicability of proposed decentralised smart grid scenarios utilising a mixed strategy: quantitative analysis of PV adoption data and qualitative policy analysis focusing on policy design, apparent drivers for adoption of the deviation of observed data from the feed-in tariff impact assessment predictions. Analysis reveals that areas of similar installed PV capacity are clustered, indicating a strong dependence on local conditions for PV adoption. Analysing time series of PV adoption finds that it fits neither neo-classical predictions, nor diffusion of innovation S-curves of adoption cleanly. This suggests the influence of external factors on the decision making process. It is shown that clusters of low installed PV capacity coincide with areas of high population density and vice versa, implying that while visions of locally-balanced smart grids may be viable in certain rural and suburban areas, applicability to urban centres may be limited. Taken in combination, the data analysis, policy impact and socio-psychological drivers of adoption demonstrate the need for a multi-disciplinary approach to understanding and modelling the adoption of technology necessary to enable the future smart grid.

show abstract

Spatially uneven development and low carbon transitions: Insights from urban and regional planning

Cited by 116 publications

References 52 publications

The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom

The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom

The benefits of geospatial planning in energy access – A case study on Ethiopia

Spatial and Temporal Characteristics of PV Adoption in the UK and Their Implications for the Smart Grid

Contact Info

Product

Resources

About