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Activity Funded

Institute for Systems Engineering and Computers at Coimbra - INESC Coimbra

INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA - INESC COIMBRA

Reference
UIDB/00308/2020
Project Start Date
2020-01-01
Project End Date
2024-12-31
Principal Investigator
Scientific Area
Engineering and technology
Funding Program
Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base

Abstract

10.2 Summary in English for general dissemination purposes The main objectives of the plan for 2018-22 are reinforcing INESCC role as a renowned institute recognized by its competences and capability to perform interdisciplinary research exploiting competences in several engineering disciplines and operations research. Scientific contributions will be expressed through publications in top scientific journals, participation in R&D national and international projects, supervision of graduate students and contracts with companies and public administration. The aim is to consolidate recent developments and expand them to emerging areas with potential societal impact, in face of the needs of the economic fabric and the challenges of the Sustainable Development Goals: - Models, algorithms and decision support systems (DSS), with applications in network infrastructure systems (energy, telecom, transportation, hydro): development of new multiobjective optimization approaches exploiting the hybridization between mathematical programming algorithms and meta-heuristics. - Energy systems and policy: optimization models for demand response management systems; participation of consumers in energy markets; electric vehicle energy management, charging and impact on the grid optimization; data mining techniques for optimal strategies of consumption, grid and market operation. - Routing and performance optimization in telecom networks: models for end-to-end services involving high availability structures in the physical layer, resilience and geodiverse routing; multicriteria study of network design solutions in multilayered networks and software defined networks. - Spatial DSS in regional and urban planning: multiobjective approaches for managing urban and transportation infrastructures, analysis of the impact of emerging mobility technologies on cities and transportation infrastructures (electric and driverless vehicles). - Geospatial information: Automatic detection of anomalies using multispectral image analyses for structural assessment of cultural heritage; coastal monitoring with photogrammetric surface reconstruction using data collected by drones; exploitation of data from remote sensors and voluntary geospatial information to create land cover/use maps. - Computational mechanics applied to structural systems: numerical modelling of wind turbines and wave energy converters based on the theory of Multibody Dynamics to optimize the energy production capacity, nonintrusive inspection and diagnostic techniques of structures, using penetrating radar and drones, for rehabilitation purposes. - Hydrosystems analysis, planning and management: methodologies to increase design and operation efficiency (including energy) of water distribution networks and drainage systems, integration of multiple sources and ecosystems services in the management of hydro resources, IoT technologies and data analytics in the development of intelligent systems for the use, protection and valorization of water. 10.3 Summary in English for evaluation Under the guidance of its statutory principles, the main objectives of the plan for 2018-22 are reinforcing INESCC role as a renowned institute recognized by its competences and capability to perform interdisciplinary research exploiting competences in several engineering disciplines and operations research, namely by developing innovative models and algorithms for challenging problems with impact on the economic fabric and society. The main areas of intervention will be network infrastructure systems, including energy systems and policies, performance of telecommunications networks, regional and urban planning, optimization of hydro resources and systems, geospatial information, as well as computational mechanics. Emerging research fields include the use of energy consumers flexibility to offer services to the grid, sustainable mobility in smart cities and communities, networks for disaster resilient communication services, radiotherapy planning for cancer treatment, integration of remote sensing and crowdsourcing data to make the most of geographical information. Cooperation with industry, public administration and international partners will be reinforced. The following topics illustrate the research avenues to be pursued with that aim, emphasizing interdisciplinary work: -Models, algorithms and decision support systems (DSS): New multiobjective optimization (MOO) approaches under uncertainty to obtain robust solutions; Hybridization of exact mathematical programming algorithms and metaheuristics (namely evolutionary computation) to solve hard combinatorial and nonlinear problems; Bilevel MOO with applications in electricity markets; Models for location problems with competition, considering the existence of a franchising environment with preferential rights, more than two players, essential/non-essential services; MOO models and algorithms for radiotherapy treatment planning - Intensity Modulated Radiation Therapy, Volumetric Modulated Arc Therapy and thomotherapy; MOO for hydrosystems management considering costs, carbon emissions, resilience and reliability to fulfil demands. -Energy systems and policy: Optimization models for demand response (DR) management systems in face of dynamic tariffs; Models of participation of consumers in energy, capacity and ancillary services markets; Powertrain and energy management in multisource EVs; Optimization of EV charging (including fleets) and impact on the grid; Sustainable mobility in smart cities; Data mining techniques for optimal strategies of consumption, grid and market operation; Complementarity of storage and DR for electric grid management and planning, exploiting available renewable generation and market data. -Routing and performance optimization in telecommunication networks: Resilience models focused on end-to-end services involving high availability structures in the physical layer; Disaster resilience end-to-end services considering geodiverse routing; Controller placement problems in Software Defined Networks (SDN); Development of MO models for performance evaluation of network design solutions in new technological platforms and architectures, such as multilayered networks and SDN. -Spatial decision support in regional and urban planning: MOO for managing urban and transportation infrastructure (road and railroad asset management, utilities networks), with focus on large-scale maintenance and renovation actions; Analysis of the impact of emerging mobility technologies on cities and transportation infrastructures (EVs, driverless vehicles); Primal-dual heuristics and metaheuristics for new dynamic location problems under uncertainty considering multiple objectives (cost minimization, environmental impact, different measures of robustness). -Geospatial information: Automatic detection of anomalies using multispectral image analyses for structural assessment of infrastructures and cultural heritage; Algorithms for photogrammetric surface reconstruction in coastal monitoring using data collected by low-cost Unmanned Aerial Systems; Automatic extraction of information from crowdsourced data for emergency response; Creation of 3D models using data obtained by laser scanning systems; Generation of land cover maps and assessment of land cover changes using multispectral images and voluntary geographical information. -Hydrosystems planning and management: New approaches for water supply and distribution systems (e.g. for energy efficiency); Sustainable drainage urban systems and integrated water sources and ecosystems services management for multipurpose allocation at river basin level, considering new drivers of change (climate change, population growth, urbanization, technology developments, socio-economic factors); DSS embracing deep uncertainty, defining contingent options to respond to knowledge emerging during the planning horizon using dynamic adaptive approaches; Contribute to a "water-smart society" integrating advanced hydraulic modelling and optimization techniques, IoT technologies and data analytics. -Computational mechanics applied to structural systems: Numerical modelling of wind turbines and wave energy converters, based on the theory of Multibody Dynamics and dynamical pressures of the wind or water on the structural frames, to optimize the energy production capacity; Application and combination of nonintrusive inspection and diagnostic techniques of reinforced structures, such as ground penetrating radar and visual inspection with drones, for rehabilitation or strengthening purposes. Special attention will be paid to new challenges and avenues of research that might emerge in 2018-22. This will require the monitoring of new needs, societal trends and market requests and devising scientific and technological innovation that can contribute to novel methodologies capable of supporting more effective design and operation processes through the use of more ingenious models and algorithms.

Institutions

Main Institutions

  • Instituto de Engenharia de Sistemas e Computadores de Coimbra (INESC)
  • Instituto de Engenharia de Sistemas e Computadores de Coimbra (INESC)

Funding 806.000,00 €

Fundação para a Ciência e a Tecnologia (FCT) - Portugal

806.000,00 €