Dionysia S. Kolokotsa

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This paper deals with the issue of achieving comfort in buildings with minimal energy consumption. Specifically a reinforcement learning controller is developed and simulated using the Matlab/Simulink environment. The reinforcement learning signal used is a function of the thermal comfort of the building occupants, the indoor air quality and the energy(More)
In this paper, an optimized fuzzy controller is presented for the control of the environmental parameters at the building zone level. The occupants’ preferences are monitored via a smart card unit. Genetic algorithm optimization techniques are applied to shift properly the membership functions of the fuzzy controller in order to satisfy the occupants’(More)
Buildings nowadays are increasingly expected to meet higher and more complex performance requirements: they should be sustainable; use zero-net energy; foster a healthy and comfortable environment for the occupants; be grid-friendly, yet economical to build and maintain. The essential ingredients for the successful development and operation of net zeroand(More)
The aim of this paper is to present the architecture, the algorithms and the performance results of an integrated indoor environment energy management system (IEEMS) for buildings. The buildings’ users comfort requirements are fulfilled and regulated using a fuzzy controller. The fuzzy controller’s structure is adjusted to the users’ requirements that are(More)
The aim of this paper is to develop and propose an integrated classification method for the determination of office buildings' energy and thermal comfort rating classes. The applications of five clustering techniques: Hierarchical, K-Means, Gaussian Mixture Models, Fuzzy, and Neural algorithms to a large building dataset are tested in order to investigate(More)
In this specific paper a control algorithm for serving CEN's indoor environmental input parameters in building energy management systems is presented. In the proposed control system, techniques of natural ventilation and daylight penetration are exploited. Electric lighting as well as mechanical cooling and heating are used supplementary to the techniques(More)
The aim of this paper is to present the design and evaluation process of a Fuzzy PD controller for an experimental platform for buildings based on a fieldbus system. The experimental platform consists of interconnected nodes (sensors and actuators), using the European Installation Bus (EIB) fieldbus network infrastructure. A “smart node” consisted of a(More)
During the last few decades, significant changes have been made in the area of building construction and management, especially regarding climate control and energy conservation. A significant turning point was reached in the early 70s with the oil crisis driving a movement for airtight buildings to minimize energy consumption. Unfortunately this turn(More)
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