Urban Energy Systems

Grübler, Arnulf; Bai, Xuemei; Buettner, Thomas; Dhakal, Shobhakar; Fisk, David; Ichinose, Toshiaki; Keirstead, James; Sammer, Gerd; Satterthwaite, David; Schulz, Niels; Shah, Nilay; Steinberger, J.; Weisz, Helga; Ahamer, Gilbert; Baynes, Tim; Curtis, Daniel; Doherty, Michael; Eyre, Nick; Fujino, Junichi; Hanaki, Keisuke; Kainuma, Mikiko; Kaneko, Shinji; Lenzen, Manfred; Meyers, J. Michael; Nakanishi, Hitomi; Novikova, Victoria; Rajan, K. S.; Seo, Seongwon; Shrestha, Ram M.; Shukla, P.R.; Sverdlik, Alice; Sathaye, Jayant

doi:10.1017/cbo9780511793677.024

Cited by 141 publications

(92 citation statements)

References 265 publications

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“…The spatial planning of denser settlements (>50 people/ha) with convenient access to services and employment hubs could represent a key strategy for reducing dependence on car commutes [91], as well as increasing the uptake of mass transit and non-motorised transport options [92]. Air travel demand is the fastest growing source of transport emissions in developed countries like the UK [93].…”

Section: Landscape Conditionsmentioning

confidence: 99%

Modelling energy transitions for climate targets under landscape and actor inertia

Strachan

2017

Environmental Innovation and Societal Transitions

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The speed at which established socioeconomic and technological systems can be adapted to alternatives that are compatible with a climate stabilised, 2°C world remains unknown. Quantitative models used for assessing this challenge typically make a number of arguably optimistic assumptions regarding human behaviour and decision making. This often restricts the insights produced to futures approximating a so-called first-best policy landscape. However, empirical studies of socio-technical change have shown that technological diffusion is often influenced by actors and institutions interacting under less ideal, second-best conditions. This paper quantifies these factors in a formal energy model as landscape and actor inertia and employs them for the first time in BLUE, a dynamic stochastic socio-technical simulation of technology diffusion, energy and emissions inspired by the multi-level perspective. Using the UK energy system as an example, the results illustrate how socio-technical inertia may significantly blunt future efforts to achieve climate targets. KeywordsSocio-technical change; transitions; energy systems; modelling; decarbonisation; climate policy; Highlights We present a quantitative socio-technical energy transitions model inspired by the Multi-Level Perspective  BLUE is a stochastic system dynamic model that features multiple actors with detailed behavioural parameters  The feasibility of UK climate targets is explored under landscape and actor inertia  The results show that actor inertia may significantly increase the difficulty of achieving climate targets  The results also show the importance of taking socio-technical perspectives on energy transitions

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Section: Landscape Conditionsmentioning

confidence: 99%

Modelling energy transitions for climate targets under landscape and actor inertia

Strachan

2017

Environmental Innovation and Societal Transitions

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“…They also disproportionally contribute to global energy use and greenhouse gas emissions (71,72). The huge diversity of cities and a lack of comprehensive and comparable data at city scale have so far prevented reliable estimates of a global urban mitigation potential.…”

Section: The Role Of Manufactured Capital For Sustainabilitymentioning

confidence: 99%

Industrial Ecology: The role of manufactured capital in sustainability

Weisz

Suh

Graedel

2015

Proc. Natl. Acad. Sci. U.S.A.

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110

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“…Cities are currently home to more than 53% of the human population and are growing; their existence depends on energy development, and their energy demands are concentrated in buildings, transport, industrial processes or other types of infrastructure [1,2]. The residents of cities import a large amount of materials that are transformed through processes that cause relative or critical impacts at the global or regional scale [3].…”

Section: Introductionmentioning

confidence: 99%

The Role of Renewable Energy in the Promotion of Circular Urban Metabolism

2017

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Cities are human creations requiring large amounts of materials and energy. Constant consumption of resources exerts pressure on the environment not only due to its exploitation, but also because once processed, the resources produce waste, emissions or effluents. Cities are responsible for more than three quarters of the emissions of greenhouse gases. It is anticipated that the urban population will increase by up to 80% by the mid-21st century, which will make the current energy model unsustainable, as it is based on the intensive use of fossil resources. A change in urban planning is required to meet the energy requirements of cities. Several studies mention that renewable energy must be used in cities, but they do not identify the resources and technologies that can be used to promote circular urban metabolism. A review of the literature establishes that there are eleven renewable technologies with different degrees of maturity that could reduce the import of energy resources, which would contribute to changing the metabolic linear model into a circular model. However, the applicability of the different possibilities is conditional upon the availability of resources, costs, policies and community acceptance.

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Urban Energy Systems

Cited by 141 publications

References 265 publications

Modelling energy transitions for climate targets under landscape and actor inertia

Modelling energy transitions for climate targets under landscape and actor inertia

Industrial Ecology: The role of manufactured capital in sustainability

The Role of Renewable Energy in the Promotion of Circular Urban Metabolism

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