D
D. Kolokotsa
Researcher at Technical University of Crete
Publications - 21
Citations - 2310
D. Kolokotsa is an academic researcher from Technical University of Crete. The author has contributed to research in topics: Efficient energy use & Building management system. The author has an hindex of 12, co-authored 20 publications receiving 1954 citations. Previous affiliations of D. Kolokotsa include Technological Educational Institute of Crete.
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Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfaction
TL;DR: In this paper, the adaptive fuzzy PD controller adapts the inputs and outputs scaling factors and is based on a second order reference model, in such a way that the measured variable to be as closer as possible to the reference model.
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Decision support methodologies on the energy efficiency and energy management in buildings
D. Kolokotsa,Christina Diakaki,Evangelos Grigoroudis,George S. Stavrakakis,Kostas Kalaitzakis +4 more
TL;DR: In this paper, the main criteria in the decision analysis of buildings are categorized and the decision alternatives which may formulate specific actions, or group of actions (strategies) for buildings' sustainability are analyzed.
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Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating networks
TL;DR: An optimized fuzzy controller is presented for the control of the environmental parameters at the building zone level in order to satisfy the occupants’ preferences while minimizing energy consumption.
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Evaluation of the performance gap in industrial, residential & tertiary near-Zero energy buildings
Nikos Kampelis,Kostas Gobakis,Vagias Vagias,D. Kolokotsa,Laura Standardi,Daniela Isidori,Cristina Cristalli,Fabio Maria Montagnino,Filippo Paredes,Pietro Muratore,Luca Venezia,Μ. Kyprianou Dracou,Alaric Montenon,Andri Pyrgou,Theoni Karlessi,Mat Santamouris +15 more
TL;DR: In this article, a comparison of energy dynamic and quasi-dynamic models with data from smart monitoring systems, indoor and outdoor environment measurements, power consumption and production data is performed to explore the performance gap between energy efficiency prediction in the design phase and measurements' evaluation in operational phase.
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Performance study of a multi-objective mathematical programming modelling approach for energy decision-making in buildings
TL;DR: In this paper, a decision model based on multi-objective mathematical programming is proposed to evaluate the performance of a building for retrofit purposes, and several simulation investigations are performed to study and evaluate the quality of the retrofit alternatives proposed by the decision model.