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The paper presents an investigation on the conditions for implementing a methanation membrane decarbonator coupled to an energy installation that generates flue gases. The retention of the carbon dioxide content in the flue gases and its conversion to methane is envisaged. For start, low thermal power installations, employing natural gas as main fuel supply, are considered. Internal combustion engines (also working with natural gas fuel) are taken into account for the testing of the carbon dioxide retention process. For this, a classification of the flue gas composition by fuel categories is initially carried out. The decarbonation efficiency is defined and clarifications are made withal regarding the connection between the decarbonation installation and the energy plant. The first practical achievements are also presented, resulting from a decarbonator with a volume of 940 cm3 (having the inner diameter of 12 cm and a height of 50 cm). The results prove that the proposed solution has great potential for practical applications, further research being however necessary. In terms of operating costs (including hydrogen consumption), it is remarked that they can be reduced by exploiting the methane production and eliminating the carbon tax, extending the integration perspective form economic point of view.
Gheorghe Lăzăroiu; Lucian Mihăescu; Dana-Alexandra Ciupăgeanu; Rodica-Manuela Grigoriu; Dana-Andreya Bondrea. Defining of criteria for flue gas decarbonization efficiency in methanation reactors with membrane technology. E3S Web of Conferences 2021, 286, 02014 .
AMA StyleGheorghe Lăzăroiu, Lucian Mihăescu, Dana-Alexandra Ciupăgeanu, Rodica-Manuela Grigoriu, Dana-Andreya Bondrea. Defining of criteria for flue gas decarbonization efficiency in methanation reactors with membrane technology. E3S Web of Conferences. 2021; 286 ():02014.
Chicago/Turabian StyleGheorghe Lăzăroiu; Lucian Mihăescu; Dana-Alexandra Ciupăgeanu; Rodica-Manuela Grigoriu; Dana-Andreya Bondrea. 2021. "Defining of criteria for flue gas decarbonization efficiency in methanation reactors with membrane technology." E3S Web of Conferences 286, no. : 02014.
Blade geometry is an important design parameter that influences global wind turbine energy harvesting performances. The geometric characteristics of the blade profile are obtained by determining the distribution of the chord and twist angle for each blade section. In order to maximize the wind energy production, implying a maximum lift-to-drag ratio for each wind speed, this distribution should be optimized. This paper presents a methodology to numerically determine the change in the twist angle by introducing a range of pitch angles for the maximum power coefficient case. The obtained pitch values were distributed from the root to the tip of blade. The results prove that the power coefficient increases for wind speeds greater than the rated point, which improves the yearly production of energy by 5% compared to the reference case.
Mohammed Debbache; Messaoud Hazmoune; Semcheddine Derfouf; Dana-Alexandra Ciupageanu; Gheorghe Lazaroiu. Wind Blade Twist Correction for Enhanced Annual Energy Production of Wind Turbines. Sustainability 2021, 13, 6931 .
AMA StyleMohammed Debbache, Messaoud Hazmoune, Semcheddine Derfouf, Dana-Alexandra Ciupageanu, Gheorghe Lazaroiu. Wind Blade Twist Correction for Enhanced Annual Energy Production of Wind Turbines. Sustainability. 2021; 13 (12):6931.
Chicago/Turabian StyleMohammed Debbache; Messaoud Hazmoune; Semcheddine Derfouf; Dana-Alexandra Ciupageanu; Gheorghe Lazaroiu. 2021. "Wind Blade Twist Correction for Enhanced Annual Energy Production of Wind Turbines." Sustainability 13, no. 12: 6931.
As the renewable energy sources (RES) production is strongly influenced by multiple geographic factors and highly variable, the need for both energy storage integration and robust real-time power management strategies development is obvious. Wind power represents the largest generating capacity among RES, being at the same time the most fluctuant. The capability to overcome the great disadvantage of wind power variability supports rising its penetration while preserving current operation modes of power systems, so new fashions to achieve this target are of great interest. This paper aims to prove the robustness of a recently introduced power management strategy, able to operate in online conditions, based on simultaneous perturbation stochastic approximation (SPSA) algorithm. To this regard, two different real datasets for wind power profiles with different statistical features are employed. The power management strategy is implemented on a hybrid energy storage system comprising a battery and a flywheel, modeled in Simulink/Matlab. The objectives of the proposed strategy are to reduce the instantaneous power ramp of the profile injected to the grid while smoothening the power profile exchanged by the battery in order to preserve it. Simulations are performed in representative conditions selected on statistical basis. It is demonstrated that the SPSA based power management achieves similar performances in all simulation conditions, proving to be robust. As a performance indicator, the reduction of the power ramp in reference to the 90% CDF threshold is evaluated. It is remarked as an 80% power ramp reduction is obtained towards the grid in both sites. Moreover, the further target is achieved in terms of battery lifetime extension; specifically, the fluctuation of the power profile exchanged by the battery is smoothed by 63% in the first site and 48% in the second, with respect to the flywheel one.
L. Barelli; G. Bidini; D.A. Ciupageanu; A. Micangeli; P.A. Ottaviano; D. Pelosi. Real time power management strategy for hybrid energy storage systems coupled with variable energy sources in power smoothing applications. Energy Reports 2021, 7, 2872 -2882.
AMA StyleL. Barelli, G. Bidini, D.A. Ciupageanu, A. Micangeli, P.A. Ottaviano, D. Pelosi. Real time power management strategy for hybrid energy storage systems coupled with variable energy sources in power smoothing applications. Energy Reports. 2021; 7 ():2872-2882.
Chicago/Turabian StyleL. Barelli; G. Bidini; D.A. Ciupageanu; A. Micangeli; P.A. Ottaviano; D. Pelosi. 2021. "Real time power management strategy for hybrid energy storage systems coupled with variable energy sources in power smoothing applications." Energy Reports 7, no. : 2872-2882.
Efficient operation of thermal solar power plants is strongly dependent on the central receiver design. In particular, as the receiver tube determines the temperature behavior inside the receiver, its geometry proves to be the main factor affecting the solar tower receiver performances. This paper investigates the effect of several 3D geometric concepts on both temperature evolution and velocity of the working fluid at the receiver, in order to obtain an enhanced design, with augmented efficiency. A novel receiver tube with helical fins is proposed, aiming an increased heat exchange surface and improved thermal conduction. Extensive numerical simulation is carried out in ANSYS CFX (CFD) to assess the performances of the proposed solar tower receiver design. An unstructured mesh, generated by a computation machine, and (kε) turbulence model are employed to this regard. The results show that the tubes with helical fins for solar tower receivers give a very important increase in the outlet temperature, which can reach up to 1050 K.
Messaoud Hazmoune; Benaoumeur Aour; Xavier Chesneau; Mohammed Debbache; Dana-Alexandra Ciupageanu; Gheorghe Lazaroiu; Mohamed Hadjiat; Abderrahmane Hamidat. Numerical Analysis of a Solar Tower Receiver Novel Design. Sustainability 2020, 12, 6957 .
AMA StyleMessaoud Hazmoune, Benaoumeur Aour, Xavier Chesneau, Mohammed Debbache, Dana-Alexandra Ciupageanu, Gheorghe Lazaroiu, Mohamed Hadjiat, Abderrahmane Hamidat. Numerical Analysis of a Solar Tower Receiver Novel Design. Sustainability. 2020; 12 (17):6957.
Chicago/Turabian StyleMessaoud Hazmoune; Benaoumeur Aour; Xavier Chesneau; Mohammed Debbache; Dana-Alexandra Ciupageanu; Gheorghe Lazaroiu; Mohamed Hadjiat; Abderrahmane Hamidat. 2020. "Numerical Analysis of a Solar Tower Receiver Novel Design." Sustainability 12, no. 17: 6957.
Given their highly stochastic features, the hasten increase of renewable energy sources contribution in the global energy balance issues a strong impact on power systems operating conditions. In order to overcome drawbacks related to supply reliability and systems stability, real-time power management strategies able to achieve optimal targets in uncertain frameworks are currently of great interest. This paper aims to overview for the first time the latest progresses in the field of real-time power management algorithms designed for hybrid renewable energy systems. The findings of this research provide a comprehensive review of the state-of-the-art, individuating specific fields of application and focusing on the gaps that should be further investigated. Several approaches for real-time stochastic power management are presented from both theoretical and applicative points of view. A wide range of applications in terms of installed power, multi-objective optimization formulation and energy storage technologies hybridization result as the main challenges for real-time power management. To this regard, gradient-based optimization algorithms show the highest potential for real-time power management strategies implementation. In particular, their reduced computational cost if compared to other approaches, as well as the high adaptability to various configurations, make this kind of algorithms worthy of further investigation.
Dana-Alexandra Ciupageanu; Linda Barelli; Gheorghe Lazaroiu. Real-time stochastic power management strategies in hybrid renewable energy systems: A review of key applications and perspectives. Electric Power Systems Research 2020, 187, 106497 .
AMA StyleDana-Alexandra Ciupageanu, Linda Barelli, Gheorghe Lazaroiu. Real-time stochastic power management strategies in hybrid renewable energy systems: A review of key applications and perspectives. Electric Power Systems Research. 2020; 187 ():106497.
Chicago/Turabian StyleDana-Alexandra Ciupageanu; Linda Barelli; Gheorghe Lazaroiu. 2020. "Real-time stochastic power management strategies in hybrid renewable energy systems: A review of key applications and perspectives." Electric Power Systems Research 187, no. : 106497.
Dana-Alexandra Ciupăgeanu; Gheorghe Lăzăroiu; Linda Barelli. Wind energy integration: Variability analysis and power system impact assessment. Energy 2019, 185, 1183 -1196.
AMA StyleDana-Alexandra Ciupăgeanu, Gheorghe Lăzăroiu, Linda Barelli. Wind energy integration: Variability analysis and power system impact assessment. Energy. 2019; 185 ():1183-1196.
Chicago/Turabian StyleDana-Alexandra Ciupăgeanu; Gheorghe Lăzăroiu; Linda Barelli. 2019. "Wind energy integration: Variability analysis and power system impact assessment." Energy 185, no. : 1183-1196.
Leather processing for commercial purposes involves going through a set of complex and laborious operations, resulting in over 70% waste relative to the initial feedstock; a quarter of this waste is produced in Europe. Worldwide there are about 36,000 companies active in this sector, generating a turnover of almost 48 billion euros. As in any industrial sector, waste recovery is a highly researched topic, with alternatives for its use being constantly considered. One of the most interesting solutions to this problem consists of using part of the waste for power applications. For instance, the 10% fats from total animal waste could well be employed to power diesel engines, both in raw state or as biodiesel. The remainder, which contains mostly proteins, can be exploited to obtain biogas through anaerobic digestion. This paper presents the results of experimental determinations on the combustion of animal fats and compares it to other biofuels, such as vegetable oils and solid biomass. The advantages of co-firing hydrogen-rich gas (HRG) and vegetable biomass are also analyzed. According to the presented results, combustion of the investigated fuels has a lower impact on the environment, with the concentration of pollutants in the flue gases being low. Thus, the paper proves that all the proposed solutions are ecological alternatives for biomass exploitation for energy recovery purposes, based on comparing the results in terms of pollutant emissions. This paper provides qualitative and quantitative perspectives on multiple alternatives of energy recovery from biomass resources, while also briefly describing the methods and equipment used to this end.
Gheorghe Lazaroiu; Lucian Mihaescu; Gabriel Negreanu; Constantin Pana; Ionel Pisa; Alexandru Cernat; Dana-Alexandra Ciupageanu. Experimental Investigations of Innovative Biomass Energy Harnessing Solutions. Energies 2018, 11, 3469 .
AMA StyleGheorghe Lazaroiu, Lucian Mihaescu, Gabriel Negreanu, Constantin Pana, Ionel Pisa, Alexandru Cernat, Dana-Alexandra Ciupageanu. Experimental Investigations of Innovative Biomass Energy Harnessing Solutions. Energies. 2018; 11 (12):3469.
Chicago/Turabian StyleGheorghe Lazaroiu; Lucian Mihaescu; Gabriel Negreanu; Constantin Pana; Ionel Pisa; Alexandru Cernat; Dana-Alexandra Ciupageanu. 2018. "Experimental Investigations of Innovative Biomass Energy Harnessing Solutions." Energies 11, no. 12: 3469.
Renewable energy is extensively used as primary energy source, in order to meet environmental constraints in a continuously increasing electricity demand framework. This paper presents a model, built in Matlab environment, for a standalone system consisting of a PV array and an electrochemical storage component. Sizing of the elements aimed capturing all the energy generated by the PV panels and being able to meet the load at any time, still considering technical-economic aspects. After having established the general outline, the system was modeled using Simscape/SimpowerSystems blocks to observe the dynamic interaction between the generating component, the storage one and the load. Four types of batteries were used and differences concerning dynamic behavior were discussed. 1
Dana-Alexandra Ciupageanu; Gheorghe Lazaroiu. Dynamic Simulation of a Stand-Alone Photovoltaic/Battery Energy Storage System. 2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) 2018, 1 -5.
AMA StyleDana-Alexandra Ciupageanu, Gheorghe Lazaroiu. Dynamic Simulation of a Stand-Alone Photovoltaic/Battery Energy Storage System. 2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE). 2018; ():1-5.
Chicago/Turabian StyleDana-Alexandra Ciupageanu; Gheorghe Lazaroiu. 2018. "Dynamic Simulation of a Stand-Alone Photovoltaic/Battery Energy Storage System." 2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) , no. : 1-5.
Dana-Alexandra Ciupageanu. VARIABILITY ASSESSMENT OF RENEWABLE ENERGY SOURCES BASED ON POWER GENERATION RECORDINGS. 18th International Multidisciplinary Scientific GeoConference SGEM2018, Energy and Clean Technologies 2018, 1 .
AMA StyleDana-Alexandra Ciupageanu. VARIABILITY ASSESSMENT OF RENEWABLE ENERGY SOURCES BASED ON POWER GENERATION RECORDINGS. 18th International Multidisciplinary Scientific GeoConference SGEM2018, Energy and Clean Technologies. 2018; ():1.
Chicago/Turabian StyleDana-Alexandra Ciupageanu. 2018. "VARIABILITY ASSESSMENT OF RENEWABLE ENERGY SOURCES BASED ON POWER GENERATION RECORDINGS." 18th International Multidisciplinary Scientific GeoConference SGEM2018, Energy and Clean Technologies , no. : 1.
Dana-Alexandra Ciupageanu. MODEL PREDICTIVE CONTROL APPLICATION FOR A BATTERY ENERGY STORAGE SYSTEM IN A WIND POWER PLANT. 18th International Multidisciplinary Scientific GeoConference SGEM2018, Energy and Clean Technologies 2018, 1 .
AMA StyleDana-Alexandra Ciupageanu. MODEL PREDICTIVE CONTROL APPLICATION FOR A BATTERY ENERGY STORAGE SYSTEM IN A WIND POWER PLANT. 18th International Multidisciplinary Scientific GeoConference SGEM2018, Energy and Clean Technologies. 2018; ():1.
Chicago/Turabian StyleDana-Alexandra Ciupageanu. 2018. "MODEL PREDICTIVE CONTROL APPLICATION FOR A BATTERY ENERGY STORAGE SYSTEM IN A WIND POWER PLANT." 18th International Multidisciplinary Scientific GeoConference SGEM2018, Energy and Clean Technologies , no. : 1.
The unpredictability characterizing renewable energy sources severely impacts power systems as their share continuously enlarges. Choosing the right technology to exploit the available potential of the intended resource and implementing appropriate plant control represents a solution that improves system's operating conditions. This paper presents simulations results for a Permanent Magnet Synchronous Generator (PMSG) driven by a Wind Turbine (WT) considering a control strategy employing a Neural Network Predictive Controller (NNPC), as one of the most viable among suitable options for rising wind energy share while mitigating its highly stochastic characteristics. The model system was represented in Matlab programming environment, using Simulink/Simscape/Power Systems blocks. The behavior of the system is analyzed both in steady and dynamic conditions, in the hypothesis that the controller provides the torque reference for the generator.
Dana-Alexandra Ciupageanu; Gheorghe Lăzăroiu; Viorel Berbece; Mihai Tirsu; Victor Galbura. Modeling and control of a low power wind turbine. 2018 International Conference on Development and Application Systems (DAS) 2018, 26 -30.
AMA StyleDana-Alexandra Ciupageanu, Gheorghe Lăzăroiu, Viorel Berbece, Mihai Tirsu, Victor Galbura. Modeling and control of a low power wind turbine. 2018 International Conference on Development and Application Systems (DAS). 2018; ():26-30.
Chicago/Turabian StyleDana-Alexandra Ciupageanu; Gheorghe Lăzăroiu; Viorel Berbece; Mihai Tirsu; Victor Galbura. 2018. "Modeling and control of a low power wind turbine." 2018 International Conference on Development and Application Systems (DAS) , no. : 26-30.
Meeting environmental constraints represents a particularly important condition that energy systems are currently facing, especially with the emphasis on mitigating global warming process. Reducing carbon dioxide emissions is therefore one of the main practices that can be used to achieve the objectives set by energy policies in this regard. This paper aims to assess the decrease of these emissions over a short timeframe, based on historical records regarding instantaneous electricity demand and generation by sources for the last ten years in Romania. For this purpose, an algorithm was developed in Matlab to calculate several quantities including total energy generated annually, average used capacity for each type of primary source and total carbon dioxide emissions. The predictor variable used to evaluate the yearly amount of emissions as the outcome variable was the total renewable energy share in electricity demand. The variation in time of the determined quantities is presented, as well as their approximate trend of evolution in order to foresight their values by 2020.
Dana-Alexandra Ciupageanu; Gheorghe Lazaroiu; Mihai Tirsu. Carbon dioxide emissions reduction by renewable energy employment in Romania. 2017 International Conference on Electromechanical and Power Systems (SIELMEN) 2017, 281 -285.
AMA StyleDana-Alexandra Ciupageanu, Gheorghe Lazaroiu, Mihai Tirsu. Carbon dioxide emissions reduction by renewable energy employment in Romania. 2017 International Conference on Electromechanical and Power Systems (SIELMEN). 2017; ():281-285.
Chicago/Turabian StyleDana-Alexandra Ciupageanu; Gheorghe Lazaroiu; Mihai Tirsu. 2017. "Carbon dioxide emissions reduction by renewable energy employment in Romania." 2017 International Conference on Electromechanical and Power Systems (SIELMEN) , no. : 281-285.
Appropriate planning of maintenance activities is a very useful method for reducing operating costs and enhance power system's performance. High Voltage Direct Current (HVDC) Transmission Systems contribute to the achievement of higher flexibility and increased transport capacity, their availability being therefore particularly important in today's global energy landscape. Given that HVDC schemes reached their expected lifetime quite recently, it is necessary to prioritize their subsystems with respect to performing maintenance activities, in order to minimize the unavailability time. This paper presents a hierarchical method based both on the assessment of the relative importance of the selected criteria against the established main objective and the considered subsystems on each criterion. Following Analytic Hierarchy Process (AHP) principle, an algorithm was developed in Matlab and applied to a HVDC transmission system, part of a case study. This led to obtaining the priority vector for its constituent subsystems regarding improved organization of the maintenance strategy.
Dana-Alexandra Ciupageanu; Sorina Costinas. Improving predictive maintenance for HVDC transmission systems through analytic hierarchy process. 2017 International Conference on ENERGY and ENVIRONMENT (CIEM) 2017, 26 -30.
AMA StyleDana-Alexandra Ciupageanu, Sorina Costinas. Improving predictive maintenance for HVDC transmission systems through analytic hierarchy process. 2017 International Conference on ENERGY and ENVIRONMENT (CIEM). 2017; ():26-30.
Chicago/Turabian StyleDana-Alexandra Ciupageanu; Sorina Costinas. 2017. "Improving predictive maintenance for HVDC transmission systems through analytic hierarchy process." 2017 International Conference on ENERGY and ENVIRONMENT (CIEM) , no. : 26-30.