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Technology forecasting for residential energy management devices

Tugrul U. Daim (Based at the Department of Engineering and Technology Management, Portland State University, Portland, Oregon, USA)
Ibrahim Iskin (Based at the Department of Engineering and Technology Management, Portland State University, Portland, Oregon, USA)
Daniel Ho (Based at the Department of Engineering and Technology Management, Portland State University, Portland, Oregon, USA)

Foresight

ISSN: 1463-6689

Article publication date: 18 October 2011

Abstract

Purpose

The purpose of this paper is to forecast the performance and adoption of residential energy management technology (REMT).

Design/methodology/approach

The paper integrates scenarios, analogy and Bass diffusion model.

Findings

Four different scenarios were identified. Bass curve parameters were extracted through many different existing devices, and then fit into each scenario subjectively to produce four different kinds of diffusion curves.

Originality/value

The approach and the model provide decision and policy makers to evaluate how they should position new energy management innovations based on the desired type of diffusion.

Keywords

Citation

Daim, T.U., Iskin, I. and Ho, D. (2011), "Technology forecasting for residential energy management devices", Foresight, Vol. 13 No. 6, pp. 70-87. https://doi.org/10.1108/14636681111179609

Publisher

:

Emerald Group Publishing Limited

Copyright © 2011, Emerald Group Publishing Limited