Behavioral and Technological Changes Regarding Lighting Consumptions: A MARKAL Case Study

Fragnière, Emmanuel; Kanala, Roman; Lavigne, Denis; Moresino, Francesco; Nguene, Gustave

doi:10.4236/lce.2010.11002

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…To model the irrationality of consumers in energy models, a first attempt has been made using virtual technologies (Fragnière et al (2010), Nguene et al (2011)). This approach offers an improvement but is not totally satisfactory: the consumers behavior is an exogenous data and appropriate modeling is thus not possible.…”

Section: A Hybrid Model Including Energy Consumptions End User Prefermentioning

confidence: 99%

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Coupling techno-economic energy models with behavioral approaches

et al. 2016

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Classical energy planning models assume that consumers are rational, which is obviously rarely the case. This paper proposes an original method to take into account the consumer's real behavior in an energy model. This new hybrid model combines technical methods from operations research with behavioral approaches from social sciences and couples a classical energy model with a Share of Choice model

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Section: A Hybrid Model Including Energy Consumptions End User Prefermentioning

confidence: 99%

“…For the whole horizon, the total discounted cost of the campaign is evaluated from observations based on the study from Fragnière et al (2010) and is set as 20 million dollars. As this is a rough estimation, we also take a more pessimistic estimation (40 million dollars).…”

Section: Datamentioning

confidence: 99%

Coupling techno-economic energy models with behavioral approaches

et al. 2016

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“…The second change concerns the information campaign cost. As explained in [52], the cost of the campaign is evaluated from observations based on the study in [53] and amounts to 20 million dollars for the whole horizon. Since this is an estimation, they also took a more pessimistic estimation of 40 million dollars as a second scenario.…”

Section: Datamentioning

confidence: 99%

Combining Behavioral Approaches with Techno-Economic Energy Models: Dealing with the Coupling Non-Linearity Issue

Moresino

Fragnière

2018

Energies

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Consumer behaviour is often complex and even sometimes not economically rational. Wrongly, the first techno-economic energy planning models assumed the economic rationality hypothesis and, therefore, represented consumers' behaviour incorrectly. Nevertheless, the current trend is to couple these models with behavioural approaches that were specially developed to describe the real consumer choices. A novel approach was recently proposed, where a classical energy model is coupled with a share of choice model. This new approach has however two weaknesses. First, the share of choice increases the computational complexity as it necessitates additional binary variables for the modelling. Second, for complex models, the inclusion of the share of choice can lead to non-linearity and hence to severe computational problems. In the present paper, we propose to improve this method by externalizing the share of choice. Doing so, the number of binary variable will be reduced and the linearity property will be kept even for complex models.

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“…4 If the cost of marketing and information campaign in favour of energy savings and of technology switch is too high, results obtained correspond to a classical MARKAL competition of two technologies. With lowering the cost of the triggering virtual technologies of marketing, one or both behavioural technologies may appear in the optimal solution -from [6]. For the example with both virtual technologies active, see Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Detailed description of the methodology and discussion of the first results have been published in [6] and [10]. Generation and testing of hypotheses as well as detailed methodology of integration of data from sociological surveys into MARKAL have been described in [7].…”

Section: Methodsmentioning

confidence: 99%

Mixing Behavioral and Technological Data in Mathematical Programming Framework

Kanala

Fragnière

2013

Operations Research Proceedings

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Optimisation models for energy environmental planning based on the concept of economic equilibria share a common flaw that stems from their neoclassic roots: hypothesis of a perfect information and hypothesis of perfect economic rationality. A way to circumvent this issue consists in soft-linking data from sociological surveys that determine technical coefficients for MARKAL model, creating a hybrid approach of coupling a deductive engineering model with typical inductive methods of social sciences. Behavioural changes are described as virtual technologies with usual technology attributes. The method is illustrated on a case of lighting bulbs. The goal of the approach is to build long term policies that are not solely based on technology progress but also taking into account social change.

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Behavioral and Technological Changes Regarding Lighting Consumptions: A MARKAL Case Study

Abstract: ABSTRACT

Cited by 8 publications

References 8 publications

Coupling techno-economic energy models with behavioral approaches

Coupling techno-economic energy models with behavioral approaches

Combining Behavioral Approaches with Techno-Economic Energy Models: Dealing with the Coupling Non-Linearity Issue

Mixing Behavioral and Technological Data in Mathematical Programming Framework

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