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Prof. Kosmas Kavadias
Laboratory of Soft Energy Applications & Environmental Protection, Department of Mechanical Engineering, University of West Attica, 250, Thivon & P. Ralli Street, Campus Ancient Olive Grove, Egaleo-Athens GR12241, Greece

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0 Renewable Energy
0 distributed power systems
0 Solar energy systems
0 Energy systems optimization
0 Energy improvement of buildings

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Journal article
Published: 22 September 2020 in Sustainability
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The building sector consumes 36% of the world’s energy and produces around 40% of energy-related carbon emissions. While the building industry moves towards a zero net greenhouse-gas emission policy, ventilation is, and will be, a necessity for the preservation of air quality—especially in climates defined by unsavoury conditions. Therefore, a “mixing mode” cooling system was employed to lower the required energy consumption at an earthen building situated in the premises of Istanbul Technical University. A room of the high-mass earthen building was monitored under different ventilation and shading conditions. Night ventilation was conducted using two modes, 3.2 and 2.3 air changes per hour, and the air conditioning unit, operating from 08:00 to 17:00, had a set temperature of 23 ∘C. Night ventilation was somewhat impactful, reducing the average expected cooling energy demand up to 27%. Furthermore, the earthen building proved to be extremely effective on moderating extremes of temperature under non-ventilated conditions. During a rather hot day, with an outdoor maximum temperature of 35 ∘C, the indoor maximum temperature of the high-mass building was only 25 ∘C, namely within thermal comfort levels. The diurnal temperature proved to be key in the effective application of night ventilation.

ACS Style

Michael Darmanis; Murat Çakan; Konstantinos Moustris; Kosmas Kavadias; Konstantinos-Stefanos Nikas. Utilisation of Mass and Night Ventilation in Decreasing Cooling Load Demand. Sustainability 2020, 12, 7826 .

AMA Style

Michael Darmanis, Murat Çakan, Konstantinos Moustris, Kosmas Kavadias, Konstantinos-Stefanos Nikas. Utilisation of Mass and Night Ventilation in Decreasing Cooling Load Demand. Sustainability. 2020; 12 (18):7826.

Chicago/Turabian Style

Michael Darmanis; Murat Çakan; Konstantinos Moustris; Kosmas Kavadias; Konstantinos-Stefanos Nikas. 2020. "Utilisation of Mass and Night Ventilation in Decreasing Cooling Load Demand." Sustainability 12, no. 18: 7826.

Journal article
Published: 24 July 2020 in Journal of Energy and Power Technology
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ACS Style

Kosmas A. Kavadias; Stefanos Tzelepis. A Simplified Optimization Model for Sizing Proton-Exchange Membrane Fuel Cells. Journal of Energy and Power Technology 2020, 2, 1 -24.

AMA Style

Kosmas A. Kavadias, Stefanos Tzelepis. A Simplified Optimization Model for Sizing Proton-Exchange Membrane Fuel Cells. Journal of Energy and Power Technology. 2020; 2 (3):1-24.

Chicago/Turabian Style

Kosmas A. Kavadias; Stefanos Tzelepis. 2020. "A Simplified Optimization Model for Sizing Proton-Exchange Membrane Fuel Cells." Journal of Energy and Power Technology 2, no. 3: 1-24.

Conference paper
Published: 11 December 2019 in TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES19Gr
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Current trends in the energy production sector call for alternative energy production methods with a high focus on renewable energy sources. Most of the countries in the world, and especially the developed countries, fund research towards distributed generation and zero energy balance communities. In order to eliminate the consumption of fossil fuels, a crucial role is taken by hydrogen as a fuel, as, if it is produced from renewable energy sources, it could contribute in substituting the fossil fuels used in transport or building's thermal energy sectors. Moreover, it is well known that electrolysis-fuel cells can also be used as a storage medium in autonomous renewable energy systems. In this case, fuel cells need to be carefully sized in order to optimize the storage system both in energy and economic aspects. In this respect, a theoretical model was developed, able to simulate at any time step the operation of a Proton Exchange Membrane Fuel Cell, by using as input data the technical specifications of the cell and the hydrogen flow. The developed model is based on theoretical, experimental and semi-empirical models in order to provide a flexible algorithm in terms of fuel cell sizing. The model is validated with an existing fuel cell experimental system (Nexa 1200) at different hydrogen flow profiles. The results showed high precision which verifies the reliability of the proposed model for using it in optimization procedures.

ACS Style

Stefanos Tzelepis; Kosmas Kavadias. Theoretical simulation model of a proton exchange membrane fuel cell. TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES19Gr 2019, 2190, 020052 .

AMA Style

Stefanos Tzelepis, Kosmas Kavadias. Theoretical simulation model of a proton exchange membrane fuel cell. TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES19Gr. 2019; 2190 (1):020052.

Chicago/Turabian Style

Stefanos Tzelepis; Kosmas Kavadias. 2019. "Theoretical simulation model of a proton exchange membrane fuel cell." TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES19Gr 2190, no. 1: 020052.

Journal article
Published: 26 August 2019 in Renewable Energy
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The objective of the present work is the medium, short and very short-term prognosis of load demand (LD) for the small-scale island of Tilos in Greece. For this purpose, Artificial Neural Network (ANNs) models were developed to forecast the LD of Tilos for different prediction horizons and time intervals, these covering the cases of 24 h ahead in hourly intervals (medium term prognosis), 2 h ahead in 10-min intervals (short term prognosis) and 10-min ahead in 1-min intervals (very short term prognosis). At the same time, stochastic/persistence autoregressive (AR) models were also developed and compared with the respective ANN models with regards to the LD prediction results obtained. For the training of the developed ANNs, meteorological data covering the period 2015–2017 were used, which had been recorded in 1-min intervals by two meteorological masts installed on the island Tilos. Furthermore, the biometeorological human thermal comfort-discomfort index, known as the cooling power index (CP), was also estimated and introduced in the training procedure of the forecasting models, while, for the evaluation of both AR and ANN forecasting models, well established statistical evaluation indices were applied. To this end, results show that in all cases covered, i.e. for both medium and short-term prognoses, the developed ANN forecasting models present a remarkable ability to predict the local LD of the island with high accuracy, enabling in this way the development of advanced energy management tools for both end-users and the system operators.

ACS Style

K. Moustris; K.A. Kavadias; D. Zafirakis; J.K. Kaldellis. Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data. Renewable Energy 2019, 147, 100 -109.

AMA Style

K. Moustris, K.A. Kavadias, D. Zafirakis, J.K. Kaldellis. Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data. Renewable Energy. 2019; 147 ():100-109.

Chicago/Turabian Style

K. Moustris; K.A. Kavadias; D. Zafirakis; J.K. Kaldellis. 2019. "Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data." Renewable Energy 147, no. : 100-109.

Journal article
Published: 01 February 2019 in Energy Procedia
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The environmental degradation caused by the increased use of fossil fuels in the energy sector, call for an urgent switch to alternative energy sources which can assure sustainability, energy security and reliability. So far, solutions based on Renewable Energy Sources (RES) have been proved reliable in providing energy even in autonomous networks, if they combine different sources (e.g. solar and wind) or combined with conventional energy generators. Among the promising solutions to the energy problem is the geothermal energy which consists of stored energy in the earth in the form of water or steam at high pressure and temperature. The countries which are most likely to possess a high geothermal potential are those located in seismic zones close to destructive and constructive plate margins. Greece is among the countries that, due to location, possesses a remarkable geothermal potential of medium and high enthalpy fields. The interest in exploiting geothermal energy in Greece for electricity generation is mainly focused on non-interconnected islands, where energy is produced from oil-based generators with high energy cost, mainly during the summer months which is a period of rapid increase in energy demand. In this respect, the present study investigates, through an economic evaluation, the optimum sizing of a hybrid solution, which includes a geothermal power plant and a solar field of concentrated collectors able to cover the energy needs of an isolated island. The combination of solar and geothermal energy source aims to maintain the long-term productivity of the geothermal field by reducing its degradation ratio. The thermal energy, generated by the solar installation, increases the temperature of the geothermal brine before injected it back into the well and therefore reduces its energy degradation. In this study, different cases of solar field sizes are evaluated in order to achieve the optimum combination of the geothermal power plant and the concentrated solar array. According to the results, the proposed installation can guarantee energy autonomy with increased economic efficiency and competitive energy production cost, compared to the current prices in small isolated Aegean Sea islands.

ACS Style

Kosmas A. Kavadias; Panagiotis Alexopoulos; George Charis. Techno-economic evaluation of geothermal-solar power plant in Nisyros island in Greece. Energy Procedia 2019, 159, 136 -141.

AMA Style

Kosmas A. Kavadias, Panagiotis Alexopoulos, George Charis. Techno-economic evaluation of geothermal-solar power plant in Nisyros island in Greece. Energy Procedia. 2019; 159 ():136-141.

Chicago/Turabian Style

Kosmas A. Kavadias; Panagiotis Alexopoulos; George Charis. 2019. "Techno-economic evaluation of geothermal-solar power plant in Nisyros island in Greece." Energy Procedia 159, no. : 136-141.

Journal article
Published: 01 February 2019 in Energy Procedia
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Assessment of the electricity generation status for Non-Interconnected Islands (NIIs) of the Aegean Sea region, excluding the electricity systems of Crete and Rhodes, is undertaken in the current study. The authors focus on the long-term analysis of thermal power generation characteristics and also on the challenges so far limiting the contribution of Renewable Energy Sources (RES) in covering the electricity needs of the specific area. According to the present analysis, due to the existing technical limitations, the annual RES shares in the electricity balance of NIIs of the Aegean Sea have since 2010 stagnated in the range of 15% to 18%. Moreover, the performance of thermal power stations for all 30 NII systems is evaluated on the basis of their utilization factor, associated fuel consumption and electricity production costs. The vast majority of these stations is characterized by low capacity factors in combination with high specific fuel consumption and high operational expenses that in the case of smaller scale island regions could even exceed 600€/MWh. At the same time, the authors discuss on the alternatives and encourage further investigation of novel, intelligent energy solutions, such as the smart microgrid and battery-based hybrid power station that are currently developed on the island of Tilos under the implementation of the TILOS Horizon 2020 program.

ACS Style

Georgios Tzanes; Effrosyni Zafeiraki; Christiana Papapostolou; Dimitrios Zafirakis; Moustris Konstantinos; Kosmas Kavadias; Konstantinos Chalvatzis; John K. Kaldellis. Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region. Energy Procedia 2019, 159, 424 -429.

AMA Style

Georgios Tzanes, Effrosyni Zafeiraki, Christiana Papapostolou, Dimitrios Zafirakis, Moustris Konstantinos, Kosmas Kavadias, Konstantinos Chalvatzis, John K. Kaldellis. Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region. Energy Procedia. 2019; 159 ():424-429.

Chicago/Turabian Style

Georgios Tzanes; Effrosyni Zafeiraki; Christiana Papapostolou; Dimitrios Zafirakis; Moustris Konstantinos; Kosmas Kavadias; Konstantinos Chalvatzis; John K. Kaldellis. 2019. "Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region." Energy Procedia 159, no. : 424-429.

Journal article
Published: 01 February 2019 in Energy Procedia
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The exploitation of Renewable Energy Sources (RES) has already been proved as a promising power source for a sustainable future in energy supply, to cover the world’s energy demand. Solar energy is considered the most abundant RES of all, while being available in every part of our planet makes it favorable for distributed RES energy production systems. Solar-based stand-alone power systems, installed in remote areas far from the main local electricity networks, can be cost efficient and even provide energy security given that they have been carefully sized. Moreover, stand-alone photovoltaic systems can highly contribute to distributed renewable energy and microgrid networks even without other RES combination if they integrate with an appropriate energy storage (ES) system. During the sizing procedure of a photovoltaic (PV) plant, the solar potential of the area is the dominant parameter. The use of solar energy values, which may deviate from the actual values, has a relatively small impact on the overall energy assessment of interconnected photovoltaic installations. However, in the case of stand-alone PV systems, where the user requires energy autonomy, it is necessary to use hourly solar radiation along with air temperature values with increased reliability in order to determine the most cost effective combination of PV-ES system. Although there is an extended literature on stand-alone PV systems sizing procedures, the effect of using different input meteorological data on system’s size has not been sufficiently addressed. In this context, the present study examines the use of different meteorological input data of solar radiation and air temperature with data series from 12 individual years, a Mean Year (MY) and a Typical Meteorological Year (TMY). Although the TMY has been mainly used in building’s energy calculations, the results of the present work prove that the use of a TMY increases the power system reliability if compared with sizing the system by using time series of individual years or a MY. The case study presented in the specific work concerns an application of combined PV-ES able to provide energy autonomy to a domestic consumer, in a remote area in the island of Rhodes.

ACS Style

Kosmas A. Kavadias; Emily Karamanou. Meteorological input data effect on sizing stand-alone photovoltaic systems. Energy Procedia 2019, 159, 90 -95.

AMA Style

Kosmas A. Kavadias, Emily Karamanou. Meteorological input data effect on sizing stand-alone photovoltaic systems. Energy Procedia. 2019; 159 ():90-95.

Chicago/Turabian Style

Kosmas A. Kavadias; Emily Karamanou. 2019. "Meteorological input data effect on sizing stand-alone photovoltaic systems." Energy Procedia 159, no. : 90-95.

Journal article
Published: 01 February 2019 in Energy Procedia
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Variability of energy production is considered to be the main shortcoming in the operation of renewable energy systems. Combination of different Renewable Energy Sources (RES), employment of energy storage and application of Demand Side Management (DSM), are all elements used to encounter the problem of RES variability. Exploitation of such elements in an effective manner challenges the development of advanced Energy Management Systems (EMSs), especially in the case of island microgrids with high shares of RES, lacking the flexibility and capacity of centralized electricity systems to facilitate increased RES penetration. In this work, and in the framework of the Horizon 2020 TILOS project, an advanced Forecasting System (FS) has been developed, able to provide reliable predictions of load demand, wind power and solar power production. The specific variables are independently predicted through a set of forecasting models that produce both deterministic and probabilistic results for different time horizons and time resolutions, fully adjustable to the requirements of any given island microgrid. The developed FS has been deployed and tested considering the smart microgrid of Tilos island, in the SE Aegean Sea, with results obtained demonstrating its ability to provide sufficient and accurate forecasts for all studied variables.

ACS Style

Daniel H. Alamo; Rafael N. Medina; Santiago D. Ruano; Salvador S. García; Kostas P. Moustris; Kosmas Kavadias; Dimitris Zafirakis; George Tzanes; Effrosyni Zafeiraki; Georgios Spyropoulos; John K. Kaldellis; Gilles Notton; Jean-Laurent Duchaud; Marie-Laure Nivet; Alexis Fouilloy; Sylvain Lespinats. An Advanced Forecasting System for the Optimum Energy Management of Island Microgrids. Energy Procedia 2019, 159, 111 -116.

AMA Style

Daniel H. Alamo, Rafael N. Medina, Santiago D. Ruano, Salvador S. García, Kostas P. Moustris, Kosmas Kavadias, Dimitris Zafirakis, George Tzanes, Effrosyni Zafeiraki, Georgios Spyropoulos, John K. Kaldellis, Gilles Notton, Jean-Laurent Duchaud, Marie-Laure Nivet, Alexis Fouilloy, Sylvain Lespinats. An Advanced Forecasting System for the Optimum Energy Management of Island Microgrids. Energy Procedia. 2019; 159 ():111-116.

Chicago/Turabian Style

Daniel H. Alamo; Rafael N. Medina; Santiago D. Ruano; Salvador S. García; Kostas P. Moustris; Kosmas Kavadias; Dimitris Zafirakis; George Tzanes; Effrosyni Zafeiraki; Georgios Spyropoulos; John K. Kaldellis; Gilles Notton; Jean-Laurent Duchaud; Marie-Laure Nivet; Alexis Fouilloy; Sylvain Lespinats. 2019. "An Advanced Forecasting System for the Optimum Energy Management of Island Microgrids." Energy Procedia 159, no. : 111-116.

Journal article
Published: 25 January 2019 in Energy Procedia
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The rapid increase of world energy demand over the past decades has led to an extensive exploitation of the planet’s natural resources. Given that the population growth will continue for the next decades, there is an urgent need for a switch to Renewable Energy Sources (RES). One of the promising solutions to the energy problem is the geothermal energy which consists of stored energy in the earth in the form of water or steam at high pressure and temperature. Countries located in seismic zones possess a high geothermal potential due to their position at destructive and constructive plate margins. Greece is one of the countries with a remarkable potential in geothermal energy of medium and high enthalpy fields. Interest in the exploitation of geothermal fields for electricity generation is mainly focused on non-interconnected Greek islands, where energy is produced from oil-based generators with high energy cost and low-quality electricity, mainly during the summer months which is a period of high energy demand. In this respect, the present study investigates the possibility of combining a geothermal power plant with a concentrated solar array to provide energy to an autonomous island grid. Since the productivity of geothermal fields is gradually decreasing over the years, the combination of solar with geothermal energy source aims to the extension of the productive lifetime of the field, achieved by reheating the geothermal fluid during reinjection to the injection well. The thermal energy, generated by concentrated solar collectors, increases the temperature of the geothermal brine and reduces the energy degradation of the field. In this study, the energy efficiency of different reheat values are studied in order to achieve the combination of a geothermal power plant and a concentrated solar field that can meet specific targets for lifetime energy production. According to the results, the proposed installation can merely contribute to the energy autonomy of the island grid during periods of low demand and provide energy security in periods of high energy consumption.

ACS Style

Kosmas A. Kavadias; Panagiotis Alexopoulos; George Charis; John K. Kaldellis. Sizing of a solar–geothermal hybrid power plant in remote island electrical network. Energy Procedia 2019, 157, 901 -908.

AMA Style

Kosmas A. Kavadias, Panagiotis Alexopoulos, George Charis, John K. Kaldellis. Sizing of a solar–geothermal hybrid power plant in remote island electrical network. Energy Procedia. 2019; 157 ():901-908.

Chicago/Turabian Style

Kosmas A. Kavadias; Panagiotis Alexopoulos; George Charis; John K. Kaldellis. 2019. "Sizing of a solar–geothermal hybrid power plant in remote island electrical network." Energy Procedia 157, no. : 901-908.

Journal article
Published: 01 October 2018 in Applied Energy
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The European Union’s 2020 climate and energy package (known as “20–20–20” targets) requests, among other key objectives, 40% of the electricity production in Greece to be supplied from Renewable Energy Sources by 2020. The main barriers for reaching this target is the intermittency of renewable energy sources combined with the penetration limits in the local electrical grids and the high seasonal demand fluctuations. In this context, the introduction of energy storage systems, comprises one of the main solutions for coping with this situation. One of the most promising technologies for storing the excess energy, that would be otherwise lost, is the production and storage of hydrogen through water electrolysis. Hydrogen can be used for supporting the electricity grid during periods of high demand but also as transportation fuel for hydrogen-based automobiles (e.g. fuel cell vehicles). For this purpose, a simulation algorithm has been developed, able to assess the specifications of the optimum sizing of hydrogen production storage systems. For the application of the algorithm, the area of the Aegean Sea has been selected, owed to the considerable renewable energy sources curtailments recorded in the various non-interconnected islands in the region. More specifically, the developed algorithm is applied to an autonomous electricity network of 9 islands, located at the SE area of the Aegean Sea and known as the “Kos-Kalymnos” electricity system. The results obtained designate the optimum size of the hydrogen-based configuration, aiming to maximize the recovery of otherwise curtailed renewable energy production

ACS Style

Kosmas Kavadias; D. Apostolou; J.K. Kaldellis. Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network. Applied Energy 2018, 227, 574 -586.

AMA Style

Kosmas Kavadias, D. Apostolou, J.K. Kaldellis. Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network. Applied Energy. 2018; 227 ():574-586.

Chicago/Turabian Style

Kosmas Kavadias; D. Apostolou; J.K. Kaldellis. 2018. "Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network." Applied Energy 227, no. : 574-586.

Journal article
Published: 01 December 2017 in Energy Procedia
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There is a significant number of Greek islands in the Aegean Sea that still meet their electricity demand on the basis of the local autonomous thermal power stations, using considerable amounts of imported oil. In addition, many of these islands suffer from water scarcity, covering their potable water needs with water imports at extremely high costs. Under the framework of PHAROS research project, and in an effort to support energy and water self-sufficiency, an integrated software tool has been developed for the optimal planning of hybrid renewable energy systems (HRES), capable of investigating the energy balance of autonomous island regions. In this context, a planning methodology for HRES combined with a sizing algorithm for desalination plants were devised and integrated in the advanced software tool named Energy System Analysis (ESA). ESA enables the detailed analysis of systems that include components such as wind, PV and desalination plants, energy storage devices and diesel engines. To this end, the long-lasting problems of the Aegean Sea islands, mainly stemming from their state of remoteness and isolation, require the examination of long-term energy strategies, which ESA can support in an efficient manner. In this context, the current work provides a short presentation of the ESA tool main features, using two discrete case studies that correspond to a North and a South Aegean Sea island respectively.

ACS Style

George Tzanes; D. Zafirakis; C. Papapostolou; Kosmas Kavadias; J.K. Kaldellis. PHAROS: An Integrated Planning Tool for Meeting the Energy and Water Needs of Remote Islands using RES-based Hybrid Solutions. Energy Procedia 2017, 142, 2586 -2591.

AMA Style

George Tzanes, D. Zafirakis, C. Papapostolou, Kosmas Kavadias, J.K. Kaldellis. PHAROS: An Integrated Planning Tool for Meeting the Energy and Water Needs of Remote Islands using RES-based Hybrid Solutions. Energy Procedia. 2017; 142 ():2586-2591.

Chicago/Turabian Style

George Tzanes; D. Zafirakis; C. Papapostolou; Kosmas Kavadias; J.K. Kaldellis. 2017. "PHAROS: An Integrated Planning Tool for Meeting the Energy and Water Needs of Remote Islands using RES-based Hybrid Solutions." Energy Procedia 142, no. : 2586-2591.

Journal article
Published: 01 December 2017 in Energy Procedia
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The Aegean Archipelagos is an island region possessing excellent wind potential, with areas where the long-term average wind speed even exceeds 9m/s. Despite the excellent wind and solar potential of the area, most of the inhabited islands cover their electricity needs by utilizing thermal power stations (mainly diesel or heavy oil based units). In this context, wind power contribution is limited due to the local grid stability constraints, with zero new wind parks installed across the Aegean Archipelago during the last years. To this end, and in an effort to establish the "Green Island" electrification model for the numerous remote islands of Europe, a theoretical model is currently presented for estimating wind energy curtailments of existing and new wind parks. The model is then applied to an existing wind park of 3.6MW, operated in the island of Kos, and results obtained are compared with actual wind energy curtailments faced during a representative year of operation.

ACS Style

J.K. Kaldellis; George Tzanes; C. Papapostolou; Kosmas Kavadias; D. Zafirakis. Analyzing the Limitations of Vast Wind Energy Contribution in Remote Island Networks of the Aegean Sea Archipelagos. Energy Procedia 2017, 142, 787 -792.

AMA Style

J.K. Kaldellis, George Tzanes, C. Papapostolou, Kosmas Kavadias, D. Zafirakis. Analyzing the Limitations of Vast Wind Energy Contribution in Remote Island Networks of the Aegean Sea Archipelagos. Energy Procedia. 2017; 142 ():787-792.

Chicago/Turabian Style

J.K. Kaldellis; George Tzanes; C. Papapostolou; Kosmas Kavadias; D. Zafirakis. 2017. "Analyzing the Limitations of Vast Wind Energy Contribution in Remote Island Networks of the Aegean Sea Archipelagos." Energy Procedia 142, no. : 787-792.

Journal article
Published: 01 May 2017 in Energy Procedia
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ACS Style

Kosmas Kavadias; D. Zafirakis; A.G. Paliatsos. Application of Typical Meteorological Years for Sizing Building Integrated PV Systems under Zero Load Rejections. Energy Procedia 2017, 105, 881 -887.

AMA Style

Kosmas Kavadias, D. Zafirakis, A.G. Paliatsos. Application of Typical Meteorological Years for Sizing Building Integrated PV Systems under Zero Load Rejections. Energy Procedia. 2017; 105 ():881-887.

Chicago/Turabian Style

Kosmas Kavadias; D. Zafirakis; A.G. Paliatsos. 2017. "Application of Typical Meteorological Years for Sizing Building Integrated PV Systems under Zero Load Rejections." Energy Procedia 105, no. : 881-887.

Journal article
Published: 01 May 2017 in Energy Procedia
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ACS Style

D. Apostolou; Kosmas Kavadias; J.K. Kaldellis. Analytical Hydrogen Production and Storage Simulation for the “Kos-Kalymnos” System. Energy Procedia 2017, 105, 4340 -4346.

AMA Style

D. Apostolou, Kosmas Kavadias, J.K. Kaldellis. Analytical Hydrogen Production and Storage Simulation for the “Kos-Kalymnos” System. Energy Procedia. 2017; 105 ():4340-4346.

Chicago/Turabian Style

D. Apostolou; Kosmas Kavadias; J.K. Kaldellis. 2017. "Analytical Hydrogen Production and Storage Simulation for the “Kos-Kalymnos” System." Energy Procedia 105, no. : 4340-4346.

Journal article
Published: 01 June 2014 in Renewable Energy
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ACS Style

John K. Kaldellis; Marina Kapsali; Kosmas A. Kavadias. Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece. Renewable Energy 2014, 66, 612 -624.

AMA Style

John K. Kaldellis, Marina Kapsali, Kosmas A. Kavadias. Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece. Renewable Energy. 2014; 66 ():612-624.

Chicago/Turabian Style

John K. Kaldellis; Marina Kapsali; Kosmas A. Kavadias. 2014. "Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece." Renewable Energy 66, no. : 612-624.

Book chapter
Published: 01 January 2014 in 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering
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ACS Style

D. Zafirakis; Kosmas Kavadias; Emilia M. Kondili; John K. Kaldellis. Optimum Sizing of PV-CAES Configurations for the Electrification of Remote Consumers. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2014, 33, 1135 -1140.

AMA Style

D. Zafirakis, Kosmas Kavadias, Emilia M. Kondili, John K. Kaldellis. Optimum Sizing of PV-CAES Configurations for the Electrification of Remote Consumers. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2014; 33 ():1135-1140.

Chicago/Turabian Style

D. Zafirakis; Kosmas Kavadias; Emilia M. Kondili; John K. Kaldellis. 2014. "Optimum Sizing of PV-CAES Configurations for the Electrification of Remote Consumers." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 33, no. : 1135-1140.

Journal article
Published: 01 January 2014 in Energy Procedia
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ACS Style

Marinos Stathopoulos; Dimitrios Zafirakis; Kosmas Kavadias; John K. Kaldellis. The Role of Residential Load-management in the Support of RES- Based Power Generation in Remote Electricity Grids. Energy Procedia 2014, 46, 281 -286.

AMA Style

Marinos Stathopoulos, Dimitrios Zafirakis, Kosmas Kavadias, John K. Kaldellis. The Role of Residential Load-management in the Support of RES- Based Power Generation in Remote Electricity Grids. Energy Procedia. 2014; 46 ():281-286.

Chicago/Turabian Style

Marinos Stathopoulos; Dimitrios Zafirakis; Kosmas Kavadias; John K. Kaldellis. 2014. "The Role of Residential Load-management in the Support of RES- Based Power Generation in Remote Electricity Grids." Energy Procedia 46, no. : 281-286.

Original articles
Published: 21 October 2013 in International Journal of Sustainable Energy
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To confront problems concerning large-scale integration of renewable energy sources, introduction of energy storage constantly gains ground. Benefits stemming from the adoption of energy storage include exploitation of otherwise rejected energy, increased reliability of energy supply and improved operation of a given power system overall. In this regard, contribution of such systems in achieving large-scale integration of wind energy into island grids is currently considered. More precisely, fuel cells and hydrogen storage (FC–HS) are investigated, in comparison with conventional batteries. For this purpose, a simulation algorithm is developed to study the energy performance of different FC–HS configurations used to recover wind energy curtailments. The developed algorithm is then applied to a representative Aegean island of medium–high quality wind potential. Results obtained indicate that FC–HS may become attractive in comparison with conventional batteries, only in the case that the use of hydrogen surplus to cover other energy flows is also put forward.

ACS Style

John K. Kaldellis; Kosmas Kavadias; Dimitrios Zafirakis. The role of hydrogen-based energy storage in the support of large-scale wind energy integration in island grids. International Journal of Sustainable Energy 2013, 34, 188 -201.

AMA Style

John K. Kaldellis, Kosmas Kavadias, Dimitrios Zafirakis. The role of hydrogen-based energy storage in the support of large-scale wind energy integration in island grids. International Journal of Sustainable Energy. 2013; 34 (3):188-201.

Chicago/Turabian Style

John K. Kaldellis; Kosmas Kavadias; Dimitrios Zafirakis. 2013. "The role of hydrogen-based energy storage in the support of large-scale wind energy integration in island grids." International Journal of Sustainable Energy 34, no. 3: 188-201.

Journal article
Published: 01 October 2012 in Renewable Energy
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ACS Style

John Kaldellis; Kosmas Kavadias; Dimitrios Zafirakis. Experimental validation of the optimum photovoltaic panels' tilt angle for remote consumers. Renewable Energy 2012, 46, 179 -191.

AMA Style

John Kaldellis, Kosmas Kavadias, Dimitrios Zafirakis. Experimental validation of the optimum photovoltaic panels' tilt angle for remote consumers. Renewable Energy. 2012; 46 ():179-191.

Chicago/Turabian Style

John Kaldellis; Kosmas Kavadias; Dimitrios Zafirakis. 2012. "Experimental validation of the optimum photovoltaic panels' tilt angle for remote consumers." Renewable Energy 46, no. : 179-191.

Journal article
Published: 30 September 2012 in Applied Energy
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John Kaldellis; Dimitrios Zafirakis; Kosmas Kavadias; Emilia Kondili. Optimum PV-diesel hybrid systems for remote consumers of the Greek territory. Applied Energy 2012, 97, 61 -67.

AMA Style

John Kaldellis, Dimitrios Zafirakis, Kosmas Kavadias, Emilia Kondili. Optimum PV-diesel hybrid systems for remote consumers of the Greek territory. Applied Energy. 2012; 97 ():61-67.

Chicago/Turabian Style

John Kaldellis; Dimitrios Zafirakis; Kosmas Kavadias; Emilia Kondili. 2012. "Optimum PV-diesel hybrid systems for remote consumers of the Greek territory." Applied Energy 97, no. : 61-67.