Abstract
The change in the actual use of buildings by its occupants is receiving more and more attention. Over the lifecycle of a building the occupants and therefore the demands towards the buildings often change a lot. To match these altering conditions, particularly in the context of the demand for energy efficiency, purely technical approaches usually cannot solve the problem on their own or are not financially viable. It is therefore essential to take the behaviour of the end user into account and ask the fundamental question: “How is it possible to influence people’s behaviour towards a more pro-environmental outcome, and also in the long-term?” To approach this question we will present a model-driven approach for dynamically involving building occupants into the energy optimisation process. To do so we will further develop an integrated behavioural model based on established behavioural theories, having a closer look how motivational variables can be integrated into the process. This should lead to novel approaches for behaviour demand response, enabling additional demand shifting and shedding through targeted real-time engagement with energy prosumers.
Highlights
The role of occupant behaviour in the energy consumption of modern buildings during their operational phase is becoming more and more important
Defines the extrinsic motivation on a continuum from controlled to autonomous behaviour, Bandura describes the same phenomena via three different types of environment: imposed environment, selected environment and constructed environment [7], which more or less reflects the continuum of the self-determination theory (SDT)
Behavioural modelling is a useful tool when it comes to developing energy optimisation strategies that take physical assets into account, and integrate the building occupants themselves into the process
Summary
The role of occupant behaviour in the energy consumption of modern buildings during their operational phase is becoming more and more important. In this paper we are going to present a modelling approach that allows describing individual energy end user’s demand behaviour It enables a rigorous model-driven energy optimisation process that is able to explicitly take the building occupant’s behaviour into account. Typical current energy systems assume a rather strict distinction between a consumer-driven demand-side behaviour on one end, and a matching supply side, usually provided by the energy grid, on the other end. The latter has the primary objective of always satisfying consumer demands regardless of the constraints on the supply side. Energy suppliers have always modelled demand-side behaviour to adapt their production and certain incentive schemes, like different tariffs, have always been in place to influence demand-side behaviour according to supply-side constraints, modern communication technology enables a much more granular and individualised approach
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