BrainMap

Lucian Gheorghe LUMINAROIU

- BEIA CONSULT INTERNATIONAL S.R.L.

Researcher

I have over 10 years of experience in research and development projects in the field of environmental protection. I graduated from the Faculty of Land Improvement and Environmental Engineering, at USAMV in Bucharest, obtaining an engineering degree and a master's degree in engineering and environmental protection.

Expertise & keywords

Optimising Positive-Energy Districts through Interoperable Digital Platforms Call name: PNCDI IV, P 5.8 - SP 5.8.1 - ERANET-2023
ERANET-CETP-OPTIX-1 2025 - 2027

Role in this project:

Coordinating institution: BEIA CERCETARE S.R.L.

Project partners: BEIA CERCETARE S.R.L. (RO); Technical University of Denmark (DK); Malardalens Universitetet (SE); University College Cork /Tyndall National Institute Conditional (IE); Lyngby-Taarbæk Municipality (DK); Effiziente.st Energie- und Umweltconsulting e.U. (AT); Innorma Arge AS (TR); The Scientific and Technological Research Council of Türkiye (TR); Sally R aktiebolag (SE); Micro Electricity Generation Association Company Limited by Guarantee (IE); Linköpings Universitetet (SE)

Affiliation:

Project website: http://beia-cercetare.ro/optix/

Abstract:

Urban districts face significant obstacles in improving energy performance and shifting to low-carbon energy systems. Barriers to effectively integrating and optimising renewable energy and smart energy management solutions at the district level persist, despite their rising acceptance. Some of these challenges include the lack of interoperability between different energy systems and data platforms, the limited scalability and replicability of existing solutions across diverse urban contexts, and the insufficient engagement of local communities and stakeholders in the planning and implementation of energy projects. Current methods generally focus on individual buildings or technologies, disregarding the potential synergies and complementarities of a district-level strategy. The main objective of the OPTIX project is to address the challenges of integrating and efficiently optimising renewable energy and smart energy management solutions at the district level. This will be achieved by developing and demonstrating innovative solutions for optimising the energy performance of urban districts through interoperable digital platforms that integrate and manage various renewable energy systems, storage technologies and energy flexibility solutions.

ENergy HArvestiNg CollEctors for Urban ROad PavEment Call name: PNCDI IV, P 5.8 - SP 5.8.1 - ERANET-2023
ERANET-CETP-Enhance Europe-1 2025 - 2027

Role in this project:

Coordinating institution: BEIA CERCETARE S.R.L.

Project partners: BEIA CERCETARE S.R.L. (RO); UNIVERSITA DEGLI STUDI DI PADOVA (IT); TECHNICAL UNIVERSITY OF OSTRAVA (CZ); Fraunhofer-Gesellschaft zur Förderung der Angewandten Forschung e.V. (DE); Riga Technical University (LV); GYONGYOS VAROSI ONKORMANYZAT (HU); VAASAN YLIOPISTO (FI); ARÇELİK A.Ş. (TR); nollaE Oy (FI); Consorci Centre de Recerca Matematica (ES); SALIMA S.R.L. (IT)

Affiliation:

Project website: https://beia-cercetare.ro/enhance-europe/

Abstract:

The Enhance Europe project deals with the application of an energy harvesting system consisting of an asphalt solar collector applied to the road flexible pavement. Asphalt collectors are constituted by structures embedded inside the road pavement layers for the extraction of heat due to solar irradiation. Thanks to the heat conversion, renewable and easy spendable energy can be generated for integrating the energy supplying plants of buildings along the roads. The project allows to reduce the surface temperature of road flexible pavement, creating a liveable urban area for city inhabitants, matching the urban planning regulations, and reducing the urban heat island phenomenon, especially in the summer season. System installation can be integrated in urban environments without affecting cultural heritage landscape. The project is relevant for clean energy integration in the built environment because it creates a solution for the reuse of the solar radiation collected by the transport infrastructures, generating local support to reach sustainability in the long term for the buildings and, in general, for the city. This project allows to reduce large buildings (malls, terminals, parking area, building services) energy uses and their (operational) costs, implementing the heat transfer from the pavement to the buildings. It contributes to open platforms for sharing the data and the models (digital twins) in support of the energy transition.

Progressive solutions for Reshaping urban mObility: integrating Micro-mobility, technology, Infrastructure, and Smart policy for first/last milE travel and logistics Call name: PNCDI IV, P 5.8 - SP 5.8.1 - COFUND-2023
COFUND-DUT-PROMISE-2 2025 - 2027

Role in this project:

Coordinating institution: BEIA CERCETARE S.R.L.

Project partners: BEIA CERCETARE S.R.L. (RO); Dalarna University (SE); Sustainability Innocenter (SE); ModC Networks AB (SE); Aalborg University (DK); Osmangazi Municipality (TR); D FAST Dagitim Hizmetleri ve Lojistik A.S. (TR); Uzay Tech Bilisim Arastirma Muhendislik Hizmetleri Sanayi ve Ticaret A.S. (TR); Municipality of Rethymno (GR); Universität Duisburg-Essen (DE); Wirtschaftsförderung Bochum WiFö GmbH (DE); STADT KOLN (DE); UPS Deutschland S.à r.l. & Co. OHG (DE)

Affiliation:

Project website: https://beia-cercetare.ro/promise/

Abstract:

The PROMISE project aims to fundamentally shift urban mobility away from car dependency. This project aligns with the 15-minute city concept through the integration of micro-mobility solutions in the first and last mile of urban areas. PROMISE implements innovative strategies that include the development of a Geographic Information System (GIS)-based Micro-Mobility Decision Support Tool (MDST), fostering multi-stakeholder collaborations through co-creation methodologies, and establishing living labs across diverse urban settings. These living labs serve as real-world platforms for testing and refining micro-mobility interventions, ensuring they are effectively tailored to specific urban challenges and stakeholders’ needs.

CYBERINTELLIGENCE AI-BASED PLATFORM FOR RISK IDENTIFICATION, ANALYSIS AND RATING IN SUPERMASSIVE FILESHARING ENVIRONMENTS AND THEIR LINK TO EXPOSED IOT NETWORKS Call name: PNCDI IV, P 5.8 - SP 5.8.2 - EUROSTARS-3
EUROSTARS-3-E!6335-CIRANET 2024 - 2027

Role in this project:

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); ENTHEC SOLUTIONS, S.L. (ES)

Affiliation:

Project website: https://beiaro.eu/ciranet/

Abstract:

The project proposes a disruptive cyberintelligence cloud platform collecting multiformat data from file sharing environments (e.g., P2P networks) to identify, analyse and rate cyber risks and vulnerabilities for companies and organisations related to:

1) Leakage of confidential data

2) IP addresses of IoT devices that may pose threats or vulnerabilities.

For this purpose, CIRANET will research beyond the SotA in fields such as: Massive data crawling; AI-based algorithms for filtering, classification and recognition of data leaks from multiformat files (text, images, videos, csv, etc.); AI-based IP scanning techniques to identify vulnerable IoT devices; automated models for cyber risk assessment and rating.

Leakages of sensitive information concern organisations and citizens alike. IBM Security Threat Index claims 67% of professionals consider data breaches as a top concern, while 80% of Europeans express worry about companies using personal data (Eurobarometer Special Report 495). Additionally, Forbes estimates the costs of data breaches as more than 9% of global GDP. The problem is exacerbated by the increasing number of IoT devices that may filter sensitive information (videos, images, etc.). CIRANET will enable early detection of data leaks, including those regarding IoT networks, leading to a better protection and reducing economic and reputational costs.

Economic efficiency in the transition to green hydrogen - H2VOLT Call name: PNCDI IV, SP 5.7.1 - Proiect de transfer la operatorul economic
PN-IV-P7-7.1-PTE-2024-0533 2025 - 2027

Role in this project:

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); UNIVERSITATEA POLITEHNICA TIMIŞOARA (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU TEHNOLOGII CRIOGENICE SI IZOTOPICE - I.C.S.I. RAMNICU VALCEA (RO)

Affiliation:

Project website:

Abstract:

"The H2VOLT project represents a initiative aimed at revolutionizing the energy landscape by leveraging hydrogen-based solutions. Initiated in response to global imperatives outlined in the Paris Agreement and the European Green Deal, H2VOLT targets significant reductions in greenhouse gas emissions and dependence on rare metals while promoting energy efficiency. Central to the project's vision is the development and integration of high-voltage ionization technology, offering a transformative approach to enhancing the performance of hydrogen fuel cells. Collaborating entities, including BEIA Consult International, the University of Timișoara, and the National Research and Development Institute for Cryogenic and Isotopic Technologies, bring together diverse expertise and resources to drive innovation and market implementation. Through interdisciplinary research, pilot system development, and cost reduction strategies, H2VOLT aims to deliver scalable, economically viable solutions for energy storage and generation. The project's ultimate goal is to establish a sustainable energy ecosystem that fosters energy autonomy, environmental stewardship, and economic resilience on both national and global scales."

Small size modular bidirectional DC Fast Charging station for Electric Vehicles Call name: PNCDI IV, SP 5.7.1 - Proiect de transfer la operatorul economic
PN-IV-P7-7.1-PTE-2024-0347 2025 - 2027

Role in this project:

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO)

Affiliation:

Project website:

Abstract:

The purpose of the project “Fast charging station in c.c. modular with reduced dimensions for electric cars FASTCHARGE ”is the realization of a fast charging station in c.c. modular with small dimensions for electric cars in the near future. Users will benefit from this size reduction, along with shorter loading time.The prototype made within the FASTCHARGE project will contain new technologies and will significantly increase the power for the same volume of a fast charging station with classic technology.The new technologies used in the implementation of the project will be integrated together in the fast charging station and this integration provides an innovative character of the FASTCHARGE project at this moment in the automotive technology market, especially considering that PTE projects aim to transfer existing technologies , from organizations from research organizations to the economic environment.

Sea Environmental Awareness and Guard enhanced with Unmanned AI Robotic Detection Call name: PNCDI IV, P 5.8 - SP 5.8.1 - Orizont Europa - Premiere Instituții - Competiție 2024
PN-IV-P8-8.1-PRE-HE-ORG-2025-0260 2025 - 2027

Role in this project:

Coordinating institution: BEIA CERCETARE S.R.L.

Project partners: BEIA CERCETARE S.R.L. (RO)

Affiliation:

Project website:

Abstract:

The funding proposal aims to strengthen the institutional capacity of BEIA Cercetare SRL, a private research organization, by increasing its international visibility, developing global research and innovation partnerships, and enhancing the quality of project proposals submitted under the European Commission's Research and Innovation Framework Programme.

To achieve these goals, BEIA will update and promote its research, development, and innovation (RDI) service offering, leveraging expertise gained through the SEAGUARD project. Key activities include participation in international events, integration into the EERTIS platform, and the development of a demonstrator for underwater IoT telemetry systems with embedded cybersecurity solutions.

The project will be implemented in three phases (2025–2027), encompassing service offer updates, dissemination, online event participation, demonstrator development, and partner identification for future project collaborations. BEIA will capitalize on its advanced research infrastructure, including a distributed cloud platform, telemonitoring network, and IoT engineering facilities, to support these efforts.

The initiative is fully aligned with the strategic objectives of enhancing research competitiveness and integration into European research networks.

Improving the Fuel Cell Hybrid Electric Vehicle Drivetrain by Implementing a Novel Optimal Real-Time Power Management Strategy Call name: PNCDI IV, SP 5.7.1 - Proiect experimental demonstrativ
PN-IV-P7-7.1-PED-2024-0567 2025 - 2026

Role in this project:

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU TEHNOLOGII CRIOGENICE SI IZOTOPICE - I.C.S.I. RAMNICU VALCEA

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU TEHNOLOGII CRIOGENICE SI IZOTOPICE - I.C.S.I. RAMNICU VALCEA (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation:

Project website:

Abstract:

A new supervisory control strategy dedicated to the optimal power management of a 3-source (FC-Bat-UC) fuel cell hybrid electric vehicle (FCEV) powertrain will be elaborated and validated in order to improve fuel efficiency without deteriorating performance.

Starting from rule-based strategies, characterized by reduced complexity and computational effort, and combining them with global and multi-objective optimization algorithms to counteract their major drawback of lack of optimality, an appropriate power management controller will be developed to harmonize the often conflicting optimization objectives involved in MPSs, such as the FC fuel consumption, the SoC deviation of the storage components, their aging and cost.

The different operating modes of the MPSs powertrain, each having one or more degrees of freedom, will be selected automatically in successive decision layers, or by driver, depending on driving mode and the real drive cycle characteristics.

The PMS will be first tested with emulated hardware components in a DSpace HiL system, using a standardized drive cycle, and then implemented and finally tested on the existing parallel topology FCEV demonstrator, accomplished in a foregoing experimental- demonstrative project, whose operation uses now a power-splitting strategy based on a backward model using the fuel cell efficiency map.

The novel PMS will be tested and demonstrated on realistic, unknown driving cycles, opening the door to future innovation.

Arrowhead flexible Production Value Networks Call name: P 5.8 - SP 5.8.1 - Parteneriate și misiuni europene
PN-IV-P8-8.1-PME-2024-0033 2024 - 2026

Role in this project:

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); LULEA TEKNISKA UNIVERSITET (SE); LEONARDO - SOCIETA PER AZIONI (IT); EUROSTEP AB (SE); UNIVERSITA DEGLI STUDI DI GENOVA (IT); UNIVERSITA DEGLI STUDI DI CATANIA (IT); UNIVERSITETET I OSLO (NO); INCQUERY LABS ZARTKORUEN MUKODO RT (HU); AITIA INTERNATIONAL INFORMATIKAI ZARTKORUEN MUKODO RT (HU); INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO (PT); BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM (HU); UNPARALLEL INNOVATION LDA (PT); UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIASASSOCIACAO (PT); SYNOPTICONS GMBH (AT); AVL LIST GMBH (AT); AVL DITEST GMBH (AT); UNIVERSITAET KLAGENFURT (AT); TEOLLISUUDEN HAJAUTETUN TIEDONHALLINNAN YHDISTYS THTH RY (FI); SEMANTUM OY (FI); TEKNOLOGIAN TUTKIMUSKESKUS VTT OY (FI); TAMPEREEN KORKEAKOULUSAATIO SR (FI); AALTO KORKEAKOULUSAATIO SR (FI); MULTIVERSE COMPUTING SL (ES); GRANITOR SYSTEMS AB (SE); STORA ENSO AB (SE); SYDDANSK UNIVERSITET (DK); SOUNDFOCUS APS (DK); STORA ENSO OYJ (FI); AFRY FINLAND OY (FI); SWEDISH INDUSTRIAL INTEROPERABILITY ASSOCIATION EK. FOR (SE); SINETIQ AB (SE); POSC CAESAR ASSOCIATION (NO); COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES (FR); NORTHVOLT AB (SE); ROSLAGSVATTEN AKTIEBOLAG (SE); SENER AEROESPACIAL SOCIEDAD ANONIMA (ES); EUROTECH SPA (IT); POLITECNICO DI TORINO (IT); FONDAZIONE BRUNO KESSLER (IT); DEVELOPAIR TECHNOLOGIES SL (ES); INSTITUTO PIAGET - COOPERATIVA PARAO DESENVOLVIMENTO HUMANO INTEGRALE ECOLOGICO CRL (PT); SIEMENS AKTIENGESELLSCHAFT (DE)

Affiliation:

Project website: https://beiaro.eu/arrowhead-fpvn/

Abstract:

The Arrowhead fPVN ambition is:

Doubling European industrial productivity by applying transformative, autonomous and evolvable information interoperability for resilient and adaptive production value networks.

The Arrowhead flexible Production Value Network (fPVN) project will provide autonomous and evolvable interoperability of information through machine-interpretable content for fPVN stakeholders. The resulting technology is projected to substantially impact manufacturing productivity and flexibility.

Autonomous and evolvable interoperability will be achieved through common project technology based on three pillars:

1. Microservices paradigm,

2. Utilization of major industrially accepted data models,

3. Automatic translation between the data models.

The common technology will be validated and verified in 11 use cases covering the production value networks in the following industrial production domains:

- Automotive services,

- Aerospace services,

- Green energy conversion, and

- Process industry production.

The results are expected to considerably impact the efficiency of both local and global production value networks thanks to substantial cost and time reduction for setting up, operating, and managing the interactions within production value networks.

Advanced Panel-Level Monitoring and Predictive Maintenance for Optimized Solar Plant Efficiency Call name: PNCDI IV, P 5.8 - SP 5.8.1 - ERANET-2023
ERANET-ENERDIGIT-ZERODEFECT4PV 2024 - 2026

Role in this project:

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); INELSO Innovative Electrical Solutions (TR); Fraunhofer Institute for Factory Operation and Automation (DE)

Affiliation:

Project website: https://beiaro.eu/zerodefect4pv/

Abstract:

Current solar power plants face challenges due to string-based monitoring systems, often overlooking critical panel-level defects. Existing monitoring methods limit precise defect identification, resulting in compromised data integrity and inefficient power output predictions. ZERODEFECT4PV offers a streamlined approach with prototype sensors, named Data Collection Units (DCUs), deployed on individual panels or clusters and linked via a mesh network for optimal panel-level monitoring. This master-slave architecture ensures seamless data transfer to the Energy Operations Center (EOC) and other analytic and storage components. Features, including a mathematical "toolbox", address data inconsistencies, promoting accurate forecasting. These innovations culminate in an assistant system designed to guide operators through large data volumes, offering actionable KPI-driven insights within the EOC environment.

New technology to produce hydrogen from Renewable Energy Sources based on AI with optimized costs for environmental applications Call name: P 3 - SP 3.2 - Proiecte ERA.NET - COFUND
COFUND-ENERDIGIT-HydroG(re)EnergY-Env 2022 - 2024

Role in this project:

Coordinating institution: INSTITUTUL NAŢIONAL DE CERCETARE-DEZVOLTARE PENTRU PROTECŢIA MEDIULUI BUCUREŞTI

Project partners: INSTITUTUL NAŢIONAL DE CERCETARE-DEZVOLTARE PENTRU PROTECŢIA MEDIULUI BUCUREŞTI (RO); WING COMPUTER GROUP S.R.L. (RO); UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO)

Affiliation:

Project website: https://www.incdpm.org/hydro-energy-env

Abstract:

HydroG(re)EnergY-Env approaches a novel technology which consist in demonstration and validation in OITBs of an economically

competitive digitalized solution for the process chain of hydrogen production from RES. A low energy capacity hydrogen production demonstrator will be made using an electrolyzer with an AI-controlled “smart” system integrated, which will be scaled up at medium and high energy production capacity, ensuring its replicability due to the modular equipment. Solutions for hydrogen eco-friendly use will be developed both for the reduction of the pollution in protected wetlands areas and CO2 emissions for the domestic and industrial users of methane. The project will be an in-depth engagement of stakeholders, represented by small and medium enterprises, by providing tools for new joint transnational business models, new investment opportunities, training sessions, workshops and a Policy Brief.

Precursor service for identification and monitoring of waste deposits, using Earth Observation and super-resolution techniques Call name: P 2 - SP 2.1 - Proiect de transfer la operatorul economic
PN-III-P2-2.1-PTE-2021-0432 2022 - 2024

Role in this project:

Coordinating institution: GMV INNOVATING SOLUTIONS S.R.L.

Project partners: GMV INNOVATING SOLUTIONS S.R.L. (RO); UNIVERSITATEA DE STIINTE AGRONOMICE SI MEDICINA VETERINARA (RO); INSTITUTUL NAŢIONAL DE CERCETARE-DEZVOLTARE PENTRU PROTECŢIA MEDIULUI BUCUREŞTI (RO)

Affiliation:

Project website: https://www.baseline.ro

Abstract:

The dramatic increase in the amount of waste produced globally has an undeniable negative effect on the environment. The accelerated pace of urban areas development, the increase in consumption and the large scale of industrial activities have led to a rapid accumulation of waste in more or less proper waste dumps. All EU member states are required to comply with waste management regulations, which primarily provide for the prevention of illegal dumping of any type of waste, its disposal in compliant landfills and their regular monitoring.

The BASELINE project aims to support waste management activities by proposing practical ways for Earth observation data to be used in off-site waste detection and monitoring of known landfills. BASELINE will design, validate and promote scalable solutions based on specific tools for the analysis of electro-optical satellite images as well as advanced techniques consisting of artificial intelligence / machine learning (AI / ML).

The proposed service under BASELINE will focus on the rapid detection of solid waste on land, the detailed analysis of its characteristics and the monitoring of landfills evolution over time. The project will rely on USAMVB’s previously developed and tested processes, algorithms and techniques based on satellite images, which will be adapted and improved with the help of AI.

Finally, the solutions will be integrated, implemented tested and validated in an operational environment, based on specific use cases and scenarios. Due to their scalability, the solutions offered by the BASELINE service will be integrated by GMV in its own portfolio and will be able to support waste management not only in Romania but also at regional, European or global level.

INNOVATIVE TECHNOLOGIES FOR RENEWABLE ENERGY PRODUCTION FROM INTEGRATED NATURAL SOURCES IN COMPLEX INSTALLATIONS Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0406 2018 - 2021

Role in this project:

Coordinating institution: INSTITUTUL NAŢIONAL DE CERCETARE-DEZVOLTARE PENTRU PROTECŢIA MEDIULUI BUCUREŞTI

Project partners: INSTITUTUL NAŢIONAL DE CERCETARE-DEZVOLTARE PENTRU PROTECŢIA MEDIULUI BUCUREŞTI (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU INGINERIE ELECTRICA ICPE - CA BUCURESTI (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU MASINI SI INSTALATII DESTINATE AGRICULTURII SI INDUSTRIEI ALIMENTARE - INMA (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: INSTITUTUL NAŢIONAL DE CERCETARE-DEZVOLTARE PENTRU PROTECŢIA MEDIULUI BUCUREŞTI (RO)

Project website: http://teachersproject.ro/

Abstract:

Having as common focus the innovative developments in renewable energy, the project consortium brings together university, academic and scientific research organizations whose objectives converge towards performance improvement by supporting existing institutional research capabilities. The project aims to optimize renewable energy production facilities and to develop functional models which will ensure electric power supply with integrated natural sources, especially in disadvantaged areas, by applying new and emerging technologies. Starting from the complex electricity generation systems, which are patented/in process of being patented at national level, and with the contribution of the coordinator and the partner institutions that will develop the component projects, the integrated generation-supply assemblies will be validated under relevant operating conditions. Within the project the complementary partnership for innovation is promoted, the members having a well-defined role within the consortium, each contributing to the significant optimization of the complex systems for renewable energy production in both coastal areas and for flowing waters, improvement of hydrogenerators, and realization of pilot models for demonstration and provision of thermal and electrical energy. This project provides the necessary support to strengthen the scientific and technical competencies through the correlation and coordination of activities and resources within public research organizations and the capitalization of these competences through research results provided to the socio-economic field. The project implementation leads to the improvement of research infrastructure at the consortium level and to the reinforcement of institutions capacity through the formation and involvement of the newly employed human resource, in order to acquire new knowledge in the field of innovative technologies for energy production from renewable resources in integrated complex installations.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects