Simulating Human Activities to Investigate Household Energy Consumption

Amouroux, Edouard; Huraux, Thomas; Sempé, François; Haradji, Yvon

doi:10.5220/0004225100710080

Cited by 7 publications

(1 citation statement)

References 11 publications

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“…As mentioned earlier, research on pro-environmental behavior has focused mostly on the home as a site of practice (Barr et al, 2011), and this is also reflected in the social simulation literature with two recent studies, one exploring power generation from photovoltaic and renewable resources (Borghesi, Milano, Gavanelli, & Woods, 2013), and another exploring energy consumption and the possibility to influence consumption behavior through incentives in households (Amouroux, Huraux, Sempé, Sabouret, & Haradji, 2013).…”

Section: Social Simulation and Environmental Psychologymentioning

confidence: 99%

Testing Scenarios to Achieve Workplace Sustainability Goals Using Backcasting and Agent-Based Modeling

Garcı́a-Mira

Dumitru

Alonso‐Betanzos

et al. 2016

Environment and Behavior

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Pro-environmental behaviors have been analyzed in the home, with little attention to other important contexts of everyday life, such as the workplace. The research reported here explored three categories of pro-environmental behavior (consumption of materials and energy, waste generation, and work-related commuting) in a public large-scale organization in Spain, with the aim of identifying the most effective policy options for a sustainable organization. Agent-based modeling was used to design a virtual simulation of the organization. Psychologically informed profiles of employees were defined using data gathered through a questionnaire, measuring knowledge, motivations, and ability. Future scenarios were developed using a participatory backcasting scenario development methodology, and policy tracks were derived. Dynamic simulations indicated that, to be effective, organizational policy should strengthen worker participation and autonomy, be sustained over time, and should combine different measures of medium intensity for behavior change, instead of isolated policies of high intensity.

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Section: Social Simulation and Environmental Psychologymentioning

confidence: 99%

Testing Scenarios to Achieve Workplace Sustainability Goals Using Backcasting and Agent-Based Modeling

Garcı́a-Mira

Dumitru

Alonso‐Betanzos

et al. 2016

Environment and Behavior

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Advanced Demand Response Considering Modular and Deferrable Loads under Time-Variable Rates

Zahr¹,

Doumith²,

Forestier³

2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Coupling occupant behaviour with a building energy model - A FMI application

Plessis¹,

Amouroux²,

Haradji³

2014

Linköping Electronic Conference Proceedings

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This paper illustrates the use of Functional Mockup Interface (FMI) [1] to couple an occupant behaviour simulator and a building model. Due to their intrinsic nature, occupant behaviour and building and its energy systems are usually represented by different modelling paradigms. The occupant behaviour is here described by Agent-Based Modelling (ABM) whereas the building is described by a set of hybrid and differential algebraic equations, typical of dynamic thermal modelling. Such different complex systems cannot be efficiently simulated in a single tool. Therefore, one solution is the tool coupling approach. The FMI standard for co-simulation was used to couple the SMACH occupant behaviour simulator and a building energy model built with the BuildSysPro Modelica library. Variables of interest are passed from one model to another at fixed synchronization time steps.

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Simulating Human Activities to Investigate Household Energy Consumption

Cited by 7 publications

References 11 publications

Testing Scenarios to Achieve Workplace Sustainability Goals Using Backcasting and Agent-Based Modeling

Testing Scenarios to Achieve Workplace Sustainability Goals Using Backcasting and Agent-Based Modeling

Advanced Demand Response Considering Modular and Deferrable Loads under Time-Variable Rates

Coupling occupant behaviour with a building energy model - A FMI application

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