Author
D. Kolokotsa
Other affiliations: Technological Educational Institute of Crete
Bio: 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.
Papers
More filters
••
TL;DR: In this article, the impact of ambient temperature on the peak electricity demand was analyzed and it was shown that higher temperatures have a serious impact on the electricity consumption of the building sector increasing considerably the peak and the total electricity demand.
572 citations
••
TL;DR: A review on the technological developments in each of the essential ingredients that may support the future integration of successful NZEB/PEB, i.e. accurate simulation models, sensors and actuators and last but not least the building optimization and control are presented.
361 citations
••
TL;DR: In this article, the feasibility of the application of multi-objective optimization techniques to the problem of the improvement of the energy efficiency in buildings, so that the maximum possible number of alternative solutions and energy efficiency measures may be considered.
317 citations
••
TL;DR: In this paper, the authors propose a multi-objective decision model, which allows the examination of a potentially infinite number of alternative measures, evaluated according to a set of criteria, which include the annual primary energy consumption of the building, the annual carbon dioxide emissions and the initial investment cost.
218 citations
••
TL;DR: A model-based predictive controller, combined with a Building Energy Management System (BEMS), that predicts the indoor environmental conditions of a specific building and selects the most appropriate actions so as to reach the set points and contribute to the indoors environmental quality by minimizing energy costs.
191 citations
Cited by
More filters
••
TL;DR: A review of the current state of the art in computational optimization methods applied to renewable and sustainable energy can be found in this article, which offers a clear vision of the latest research advances in this field.
Abstract: Energy is a vital input for social and economic development. As a result of the generalization of agricultural, industrial and domestic activities the demand for energy has increased remarkably, especially in emergent countries. This has meant rapid grower in the level of greenhouse gas emissions and the increase in fuel prices, which are the main driving forces behind efforts to utilize renewable energy sources more effectively, i.e. energy which comes from natural resources and is also naturally replenished. Despite the obvious advantages of renewable energy, it presents important drawbacks, such as the discontinuity of generation, as most renewable energy resources depend on the climate, which is why their use requires complex design, planning and control optimization methods. Fortunately, the continuous advances in computer hardware and software are allowing researchers to deal with these optimization problems using computational resources, as can be seen in the large number of optimization methods that have been applied to the renewable and sustainable energy field. This paper presents a review of the current state of the art in computational optimization methods applied to renewable and sustainable energy, offering a clear vision of the latest research advances in this field.
1,394 citations
••
TL;DR: The review indicates that future researches should be oriented towards improving the efficiency of search techniques and approximation methods for large-scale building optimization problems; and reducing time and effort for such activities.
1,009 citations
••
TL;DR: In this article, the authors provide a systematic approach to proper selection and identification of the best retrofit options for existing buildings and provide a better understanding of how to effectively conduct a building retrofit to promote energy conservation and sustainability.
982 citations
••
TL;DR: This paper presents a multi-agent control system (MACS) that successfully manage the user's preferences for thermal and illuminance comfort, indoor air quality and energy conservation and is simulated using TRNSYS/MATLAB.
Abstract: Given restrictions that comfort conditions in the interior of a building are satisfied, it becomes obvious that the problem of energy conservation is a multidimensional one. Scientists from a variety of fields have been working on this problem for a few decades now; however, essentially it remains an open issue. In the beginning of this article, we define the whole problem in which the topics are: energy, comfort and control. Next, we briefly present the conventional control systems in buildings and their advantages and disadvantage. We will also see how the development of intelligent control systems has improved the efficiency of control systems for the management of indoor environment including user preferences. This paper presents a survey exploring state of the art control systems in buildings. Attention will be focused on the design of agent-based intelligent control systems in building environments. In particular, this paper presents a multi-agent control system (MACS). This advanced control system is simulated using TRNSYS/MATLAB. The simulation results show that the MACS successfully manage the user’s preferences for thermal and illuminance comfort, indoor air quality and energy conservation.
827 citations
••
TL;DR: In this paper, the authors explore how and where phase change materials (PCMs) are used in passive latent heat thermal energy storage (LHTES) systems, and present an overview of how these construction solutions are related to building's energy performance.
817 citations