Dynamics, Networks and Energy Efficiency

N J McCullen; Alastair Rucklidge; Catherine Bale; Timothy Foxon; William Gale

Dynamics, Networks and Energy Efficiency

N J McCullen, Alastair Rucklidge, Catherine Bale, Timothy Foxon, William Gale

Department of Architecture & Civil Engineering

University of Leeds

Research output: Contribution to conference › Poster

Abstract

Models of innovation uptake can be based on various factors: a) rational decision-making with regards to the intrinsic value of a product; b) social spreading of technology or ideas induced by peer-to-peer communication of information; c) interaction with the “market' via a global feed-back.

For certain innovative technologies or behaviours the decision to adopt may be based on a combination of these factors. This is particularly the case for energy-related innovations, where some are more visible and socially desirable (such as solar panels) compared to others which are hidden (such as home insulation).

We introduce a threshold diffusion model for the dynamics of the adoption of such innovations that is based on a combination of all three factors, along with dynamical-systems inspired methods for analysing and understanding the numerically observed diffusion behaviour.

Original language	English
Publication status	Unpublished - 2013
Event	SIAM Conference on Applications of Dynamical Systems - Snowbird, Utah, USA, Salt Lake City, USA United States Duration: 19 May 2013 → 23 Dec 2013

Conference

Conference	SIAM Conference on Applications of Dynamical Systems
Country/Territory	USA United States
City	Salt Lake City
Period	19/05/13 → 23/12/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Cite this

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title = "Dynamics, Networks and Energy Efficiency",

abstract = "Models of innovation uptake can be based on various factors: a) rational decision-making with regards to the intrinsic value of a product; b) social spreading of technology or ideas induced by peer-to-peer communication of information; c) interaction with the “market' via a global feed-back. For certain innovative technologies or behaviours the decision to adopt may be based on a combination of these factors. This is particularly the case for energy-related innovations, where some are more visible and socially desirable (such as solar panels) compared to others which are hidden (such as home insulation). We introduce a threshold diffusion model for the dynamics of the adoption of such innovations that is based on a combination of all three factors, along with dynamical-systems inspired methods for analysing and understanding the numerically observed diffusion behaviour.",

author = "McCullen, \{N J\} and Alastair Rucklidge and Catherine Bale and Timothy Foxon and William Gale",

year = "2013",

language = "English",

note = "SIAM Conference on Applications of Dynamical Systems ; Conference date: 19-05-2013 Through 23-12-2013",

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TY - CONF

T1 - Dynamics, Networks and Energy Efficiency

AU - McCullen, N J

AU - Rucklidge, Alastair

AU - Bale, Catherine

AU - Foxon, Timothy

AU - Gale, William

PY - 2013

Y1 - 2013

N2 - Models of innovation uptake can be based on various factors: a) rational decision-making with regards to the intrinsic value of a product; b) social spreading of technology or ideas induced by peer-to-peer communication of information; c) interaction with the “market' via a global feed-back. For certain innovative technologies or behaviours the decision to adopt may be based on a combination of these factors. This is particularly the case for energy-related innovations, where some are more visible and socially desirable (such as solar panels) compared to others which are hidden (such as home insulation). We introduce a threshold diffusion model for the dynamics of the adoption of such innovations that is based on a combination of all three factors, along with dynamical-systems inspired methods for analysing and understanding the numerically observed diffusion behaviour.

AB - Models of innovation uptake can be based on various factors: a) rational decision-making with regards to the intrinsic value of a product; b) social spreading of technology or ideas induced by peer-to-peer communication of information; c) interaction with the “market' via a global feed-back. For certain innovative technologies or behaviours the decision to adopt may be based on a combination of these factors. This is particularly the case for energy-related innovations, where some are more visible and socially desirable (such as solar panels) compared to others which are hidden (such as home insulation). We introduce a threshold diffusion model for the dynamics of the adoption of such innovations that is based on a combination of all three factors, along with dynamical-systems inspired methods for analysing and understanding the numerically observed diffusion behaviour.

UR - http://meetings.siam.org/sess/dsp_talk.cfm?p=56768

M3 - Poster

T2 - SIAM Conference on Applications of Dynamical Systems

Y2 - 19 May 2013 through 23 December 2013

ER -

Dynamics, Networks and Energy Efficiency

Abstract

Conference

UN SDGs

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