Project description
Lighting for health and efficiency
Harsh lighting can drain more than just energy. It affects health and productivity. Yet even the advanced lighting systems often ignore its impact on occupants. Traditional building management systems use fixed control curves overlooking human responses, causing discomfort and inefficiency. Supported by the Marie Skłodowska-Curie Actions programme, DyLiOpt project is changing that by putting people at the heart of lighting design. Using behavioural science, the study explores how attitudes, perceived control, and social norms shape lighting preferences in university settings. At DyLiOpt’s core is a smart digital twin that learns from user feedback and adapts lighting in real time using Bayesian inference. By aligning technology with human behaviour, DyLiOpt redefines how we light our buildings for a healthier, greener future.
Objective
The impact of energy-efficient lighting systems on occupant health and well-being is often not thoroughly studied. Further, the human behavioural response is barely acknowledged while using the predefined control curves in building management systems, resulting in inefficiency, discomfort, and health problems, along with increased economic costs due to energy wastage and reduced productivity. This study will develop a digital twin paradigm extension for dynamic light optimisation based on behavioural insights and occupant needs (DyLiOpt) by mapping user responses and continuously optimising lighting during the operational phase using a Building Management System tailored to occupant needs. To analyse individuals' interaction with varying lighting conditions, three distinct settings within university spaces will be analysed by integrating mental models and the Theory of Planned Behavior to understand how attitudes, subjective norms, and perceived control shape occupant preferences for lighting. A key innovation of this study is the integration of Bayesian inference, enhancing the stochastic models with a probabilistic framework that accounts for uncertainties and variabilities. This approach will refine the models, enabling continuous updates based on new data. The Bayesian optimisation will be implemented within a digital twin platform, utilising patented autonomous optimisation technology to facilitate autonomous and semantic optimisation and dynamically adjust lighting parameters in real time, aligning with predicted occupant behaviour and lighting requirements. This research aims to set new standards in occupant-centric lighting optimisation, contributing to the health and well-being of occupants and energy efficiency in built environments while we race towards a climate-neutral continent by 2050.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
CF10 3AT CARDIFF
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.