Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real‐world data

Bale, Catherine S.E.; McCullen, Nick; Foxon, Timothy J.; Rucklidge, Alastair M.; Gale, William F.

doi:10.1002/cplx.21523

Cited by 17 publications

(12 citation statements)

References 22 publications

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“…early or late adopters (Rogers, 1983). From previous work (Bale et al, 2013b), we know that the proportion of different archetypes will make a significant change to the simulations. However, here we maintain the archetype groups in these proportions, as the aim of this work is to compare intervention scenarios for a set population.…”

Section: Archetypesmentioning

confidence: 95%

“…A more detailed discussion of the data requirements for this type of modelling can be found in Bale et al(2013b).…”

Section: Network Datamentioning

confidence: 99%

“…In McCullen et al (2012) all nodes were homogeneous in their parameters, making the model amenable to mathematical analysis. In Bale et al (2013b) we discussed how the model could be developed to include empirical data, and reported on the effects of introducing heterogeneous nodes representing different household archetypes into the network.…”

Section: Summary Of Modelling Approach -Previous Workmentioning

confidence: 99%

“…(For simplicity, we treat the household as a single decision maker, though in reality, people within the household may vary according to individual personal and social benefit.) Building on our previous work exploring the general mathematical features of a simpler version of this model (McCullen et al, 2013;Bale et al, 2013b), the present work develops the model to the point where it can be used to compare potential roll-out strategies available to a local authority aiming to increase uptake of energy technologies in the domestic sector. We examine interventions using social networks to promote adoption ('network interventions') and also those reducing barrier(s) to adoption ('threshold interventions').…”

Section: Introductionmentioning

confidence: 99%

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Harnessing social networks for promoting adoption of energy technologies in the domestic sector

et al. 2013

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This paper presents results from modelling work investigating the effects of social networks on the adoption of energy technologies in the domestic sector. This work concerns ideas on social network interventions which have been successfully applied in other domains but which have seldom been applied to energy policy questions. We employ a dynamical multiparameter network model where households are represented as nodes on a network for which the uptake of technologies is influenced by both personal benefit and social influences. This is applied to demonstrate the usefulness of this type of model in assessing the likely success of different roll-out strategies that a local authority could pursue in promoting the uptake of domestic energy technologies. Local authorities can play a key role in the retrofit of energy-efficiency and low-carbon energy-generation technologies in order to realise carbon reductions and alleviate fuel poverty. Scenarios are modelled for different local authority interventions that target network interactions and uptake threshold effects, and the results provide insights for policy. The potential for the use of this type of modelling in understanding the adoption of energy innovations in the domestic sector and designing local-level interventions is demonstrated.

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Section: Archetypesmentioning

confidence: 95%

“…A more detailed discussion of the data requirements for this type of modelling can be found in Bale et al(2013b).…”

Section: Network Datamentioning

confidence: 99%

Section: Summary Of Modelling Approach -Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Harnessing social networks for promoting adoption of energy technologies in the domestic sector

et al. 2013

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“…A population level perspective is adopted and individual household characteristics are not addressed in the current work. The importance of household heterogeneity in real-world social systems has been documented [12] and this individualistic behavior is examined in the service perspective paper in Ref. [13].…”

Section: Introductionmentioning

confidence: 99%

Multiutility service companies: A complex systems model of increasing resource efficiency

2015

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Domestic households account for a significant portion of energy consumption and carbon emissions in the United Kingdom. Gains in energy and resource efficiency are undermined by the continuing rise in consumption. A multiutility service company (MUSCo) could enable households to make efficiency improvements through energy technologies and demand management, thus reducing overall consumption. We present a system dynamics model for the domestic energy demand and supply system in the United Kingdom, in which MUSCos compete with traditional utility providers. The market transition toward a leasing contracted service is examined and various potential business models explored. V C 2015 Wiley Periodicals, Inc. Complexity 21: [23][24][25][26][27][28][29][30][31][32][33] 2016

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Complexity at the social science interface

Gilbert

Bullock

2014

Complexity

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This article introduces a special issue of Complexity dedicated to the increasingly important element of complexity science that engages with social policy. We introduce and frame an emerging research agenda that seeks to enhance social policy by working at the interface between the social sciences and the physical sciences (including mathematics and computer science), and term this research area the "social science interface" by analogy with research at the life sciences interface. We locate and exemplify the contribution of complexity science at this new interface before summarizing the contributions collected in this special issue and identifying some common themes that run through them. © 2014 Wiley Periodicals, Inc

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Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real‐world data

Cited by 17 publications

References 22 publications

Harnessing social networks for promoting adoption of energy technologies in the domestic sector

Harnessing social networks for promoting adoption of energy technologies in the domestic sector

Multiutility service companies: A complex systems model of increasing resource efficiency

Complexity at the social science interface

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