Dirk Saelens

Full Professor

KU Leuven

Belgium

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Dirk Saelens is a Full Professor at KU Leuven, Belgium. His research primarily focuses on energy efficiency in buildings and districts, addressing topics such as dataset richness impact on energy models, indoor environmental comfort, and the integration of renewable energy sources. He has contributed significantly through recent publications that explore modeling techniques and data-driven assessments in building performance.

Dirk Saelens

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Articles (21)

Quantifying dynamic solar gains in buildings: Measurement, simulation and data-driven modelling

Does dataset richness impact MPC’s performance? A case study of a single-family dwelling

Propagating epistemic uncertainties in planning and design of energy efficient districts

Modelling district heating demand: A synthetic dataset for two residential neighbourhoods

How to investigate differences in indoor environmental comfort and adaptation? Mixed methods research with patients

Customer enrollment and participation in building demand management programs: A review of key factors

Impact of residential heat pumps and photovoltaics on low-voltage grid reinforcements under varying insulation levels

Assessing the impact of the dataset’s size and quality on building thermal models for energy flexibility

Impact of dataset sampling period on building thermal models used for flexibility activation

Estimating the as-built thermal performance of dwellings using simulated on-board data: From ideal to limited monitoring

Potential of air-source heat pumps to reduce environmental impacts in 18 European countries

A review of European low-voltage distribution networks

Data-driven estimation of time-dependent solar gain coefficient in a two-zone building with synthetic occupants: Two B-splines integrated grey-box modeling approaches

Assessing the co-heating test as reference for Heat Loss Coefficient estimation: In-depth analysis on an artificial dataset

Impact of solar gain estimation on heat loss coefficient determination using in-situ data: Comparing co-heating test with B-splines integrated grey-box modelling

A large scale artificial dataset to evaluate the impact of on-board monitoring set-ups on the Heat Transfer Coefficient assessment

Discrepancies between predicted and actual indoor environmental (dis)comfort: the role of hospitalized patients’ adaptation strategies

Dynamic horizon selection methodology for model predictive control in buildings

Patient well-being, adaptation of and to indoor conditions, and hospital room design: two mixed methods case studies

Analysing modelling challenges of smart controlled ventilation systems in educational buildings

Performance of building integrated photovoltaic facades: Impact of exterior convective heat transfer

Collaborators (10)

Juliana E. Gonçalves

Gerard Laguna

Vincent Reinbold

Ann Heylighen

Toke Haunstrup Christensen

Twan van Hooff

Xiang Zhang

Hilde Breesch

Rongling Li

Simon Meunier

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