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Soteris A. Kalogirou

Bio: Soteris A. Kalogirou is an academic researcher from Cyprus University of Technology. The author has contributed to research in topics: Solar energy & Renewable energy. The author has an hindex of 72, co-authored 229 publications receiving 22731 citations. Previous affiliations of Soteris A. Kalogirou include Higher Technical Institute of Cyprus.


Papers
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01 Jan 2004
TL;DR: In this paper, the 3rd International Conference on Heat Powered Cycles, HPC 2004-Cooling, Heating and Power Generation Systems on CD-ROM, Larnaca, Cyprus.
Abstract: This paper is published in the 3rd International Conference on Heat Powered Cycles, HPC 2004-Cooling, Heating and Power Generation Systems on CD-ROM, Larnaca, Cyprus.

1 citations

Book ChapterDOI
01 Jan 2000
TL;DR: In this article, the authors compared the simulated performance of a solar water heater when modeled using TMY data, and mean monthly values of solar radiation and air temperature, and concluded that unless a detailed in-depth analysis of the solar water heating system is required, the simulation with the mean monthly value is very quick without sacrificing accuracy.
Abstract: Publisher Summary This chapter compares the simulated performance of a solar water heater when modeled using TMY data, and mean monthly values of solar radiation and air temperature. A simple system consisting of a single flat plate collector is modeled. The analysis is done both with respect to the total energy falling on the collector surface area and on the useful energy collected by the system. The percentage difference between the simulations with the TMY and mean monthly values of solar radiation and air temperature is 2.5% and 4.3% for the two parameters, respectively. Both values are considered very satisfactory for the system long-term performance evaluation. From the results obtained, it is clear that unless a detailed in-depth analysis of the solar water heating system is required, the simulation with the mean monthly values is very quick without sacrificing accuracy.

1 citations

Journal ArticleDOI
TL;DR: Athalassa is the main actinometric station of Cyprus and is located in the center of the island at a height of about 160 m as mentioned in this paper , which is equipped with shortwave and longwave radiation instruments.
Abstract: Athalassa is the main actinometric station of Cyprus and is located in the center of the island at a height of about 160 m. The station is equipped with shortwave and longwave radiation instruments. The time step of the measurements is 10 min, and hourly and daily values were derived for the period of June 2020–May 2021. The solar data underwent an extensive quality control process based mainly on the suggested tests of Baseline Surface Radiation Network (BSRN) for both the hourly and daily datasets. More than 98% of the data were within the limits recommended by the BSRN and other radiation networks. A statistical analysis of the shortwave solar radiation components was then performed. Linear and quadratic relationships were established between various radiation components, and their diurnal and monthly variability was assessed. The annual average daily global radiation amount was approximately 19 MJ/m2, whereas the amounts of horizontal beam and diffuse radiation were 12.9 MJ/m2 and 4.7 MJ/m2, respectively. Regarding the modeling of diffuse irradiance, the BRL diffuse fraction model (Boland-Ridley-Lauret) was applied. The results showed that the BRL model can satisfactorily estimate both the diffuse solar irradiance as well as the direct normal irradiance. Furthermore, the levels of the shortwave components were estimated based on the classification of four categories of the clearness index. The annual average of the direct normal beam radiation on clear days was 27.3 MJ/m2, and the direct horizontal radiation was 17.7 MJ/m2. Finally, the total energy received by an inclined surface was estimated based on measurements on the horizontal surfaces. In practice, photovoltaics were installed with an annual permanent slope of 26° with respect to the horizontal surface, and in a southern direction.

1 citations

01 Jan 2012
TL;DR: In this paper, a survey of possible solutions of PV and STS integration on the building roofs and façades is presented, and suggestions are given to address the possible problems created.
Abstract: With buildings accounting for 40% of primary energy requirements in EU and the implementation of the Energy Performance of Buildings Directive (EPBD), developing effective energy alternatives for buildings is imperative. The increasing role for renewables implies that solar thermal systems (STS) and photovoltaics (PV) will have a main role as they contribute directly to the heating and cooling of buildings and the provision of electricity and domestic hot water. Meeting building electrical and thermal loads will be primarily achieved through an extensive use of renewables, following standard building energy saving measures, such as good insulation or advanced glazing systems. These systems are typically mounted on building roofs with no attempt to incorporate them into the building envelope creating aesthetic challenges, space availability issues and envelope integrity problems. This paper aims to give a survey of possible solutions of PV and STS integration on the building roofs and façades. The advantages of integration are quantified and suggestions are given to address the possible problems created.

1 citations

Journal ArticleDOI
TL;DR: In this paper , the authors provide a comprehensive overview of the state-of-the-art in hybrid PV-T collectors and the wider systems within which they can be implemented, and assess the worldwide energy and carbon mitigation potential of these systems.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: A survey of the various types of solar thermal collectors and applications is presented in this paper, where an analysis of the environmental problems related to the use of conventional sources of energy is presented and the benefits offered by renewable energy systems are outlined.

2,620 citations

Journal ArticleDOI
TL;DR: In this paper, a review has been done on scope of CO2 mitigation through solar cooker, water heater, dryer, biofuel, improved cookstove and by hydrogen, which provides an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources.
Abstract: Renewable technologies are considered as clean sources of energy and optimal use of these resources minimize environmental impacts, produce minimum secondary wastes and are sustainable based on current and future economic and social societal needs. Sun is the source of all energies. The primary forms of solar energy are heat and light. Sunlight and heat are transformed and absorbed by the environment in a multitude of ways. Some of these transformations result in renewable energy flows such as biomass and wind energy. Renewable energy technologies provide an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources. In this article a review has been done on scope of CO2 mitigation through solar cooker, water heater, dryer, biofuel, improved cookstoves and by hydrogen.

2,584 citations

09 Mar 2012
TL;DR: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems as mentioned in this paper, and they have been widely used in computer vision applications.
Abstract: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its implementation methods. † Correspondence: Chung-Ming Kuan, Institute of Economics, Academia Sinica, 128 Academia Road, Sec. 2, Taipei 115, Taiwan; ckuan@econ.sinica.edu.tw. †† I would like to express my sincere gratitude to the editor, Professor Steven Durlauf, for his patience and constructive comments on early drafts of this entry. I also thank Shih-Hsun Hsu and Yu-Lieh Huang for very helpful suggestions. The remaining errors are all mine.

2,069 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a review of recent developed models for predicting building energy consumption, which include elaborate and simplified engineering methods, statistical methods and artificial intelligence methods, and further prospects are proposed for additional research reference.
Abstract: The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and characteristics, the operation of sub-level components like lighting and HVAC systems, occupancy and their behavior. This complex situation makes it very difficult to accurately implement the prediction of building energy consumption. This paper reviews recently developed models for solving this problem, which include elaborate and simplified engineering methods, statistical methods and artificial intelligence methods. Previous research work concerning these models and relevant applications are introduced. Based on the analysis of previous work, further prospects are proposed for additional research reference.

1,509 citations

Journal ArticleDOI
TL;DR: In this paper, a review of the different computer tools that can be used to analyse the integration of renewable energy is presented, and the results in this paper provide the information necessary to identify a suitable energy tool for analysing the integration into various energy-systems under different objectives.

1,480 citations