Detalhes
Nome
Flávia BarbosaCargo
Investigador AuxiliarDesde
22 abril 2016
Nacionalidade
BrasilCentro
Centro de Engenharia e Gestão IndustrialContactos
+351222094000
flavia.barbosa@inesctec.pt
2024
Autores
Vilarinho, H; Barbosa, F; Nóvoa, H; Silva, JG; Yamada, L; Camanho, AS;
Publicação
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
Abstract
A significant challenge in asset management is the selection of investment projects for infrastructures, which often relies on subjective judgement and lacks structured decision support methods. This challenge is particularly complex in water systems due to the diverse and heterogeneous nature of the components requiring investment. While the infrastructure value index (IVI) is widely used to characterise assets and support investment decisions in the water sector, its application in optimisation models for generating efficient project portfolios remains unexplored. To address this research gap, this study introduces optimisation models for generating investment portfolio plans in water systems' asset management. The proposed approach includes two mixed-integer linear programming (MILP) models that determine optimal solutions and an evolutionary algorithm that offers sub-optimal alternative investment selection plans to provide decision-makers with additional choices for balancing optimal outcomes. The primary contribution of this research is the combined utilisation of MILP and evolutionary algorithms, integrating the IVI into the decision-making process. These tools provide decision-makers with structured methods for defining investment plans and minimising the subjective elements typically associated with such processes. To illustrate the effectiveness of the models, a case study is presented involving a pumping station of a Portuguese water company. The results demonstrate the practical application and benefits of the proposed approach in optimising investment decisions. This research contributes to advancing asset management practices by integrating quantitative optimisation techniques and leveraging the IVI, thereby enhancing the objectivity and efficiency of investment planning in water systems' asset management.
2024
Autores
Barbosa, F; Casacio, L; Bacalhau, ET; Leitao, A; Guimaraes, L;
Publicação
UTILITIES POLICY
Abstract
Hydropower currently generates more than all other renewable energies combined. Considering the challenges of climate change and the transition to green energy, it is expected to remain the world's largest source of renewable electricity generation. This paper proposes a tool for performance evaluation and benchmarking of hydropower generation to inform dispatching. Through them, strengths and weaknesses of asset operations can be set, identifying areas with the best performance, gathering insights from their strategies and best practices, and comprehending factors that lead to variations in performance levels. The results allow for optimising energy resource use by indicating the dispatching rules with maximum power production and minimum wearand-tear impact. This framework allows the formulation of practical guidelines for dispatching policies. The proposed methodology is applied to analyse two real-world case studies: the Vogelgr & uuml;n run of river hydropower plant (France) and the Frades 2 pump-storage powerplant (Portugal).
2024
Autores
Dias, LR; Cardoso, F; Jimenez, CM; Marques, GO; Barioni, G; Barbosa, F; Mariano, P; Cunha, P; Bonomi, A;
Publicação
Computer Aided Chemical Engineering
Abstract
The expansion of ethanol production in Brazil sparks several sustainability concerns, including debates on “food versus fuel”, the environmental impacts of monocultures, and indirect land-use change. Since livestock farming occupies a significantly greater area than sugarcane for ethanol production in Brazil and has a large yield gap, sugarcane-livestock integration can be a promising alternative. This integrated system considers crop production systems, biorefinery processing and meat production in both intensive and extensive livestock farming. Optimizing this system for both economic and environmental aspects can be challenging to implement and computationally expensive as this system's complexity arises from nonlinear subsystems and their intertwining input-output flows. For these reasons, this paper develops metamodels from detailed models to: (i) Optimize the extensive livestock farming, (ii) Optimize the confined animal feeding, and (iii) Optimize the integrated system. The main objective is to maximize the Net Present Value relative to investment. This study contributes to the literature by developing innovative models for ethanol-beef integrated production systems and methods for optimizing such systems to avoid negative externalities on food security and environmental impacts. © 2024 Elsevier B.V.
2024
Autores
Casalta, M; Barbosa, F; Yamada, L; Ramos, LB;
Publicação
UTILITIES POLICY
Abstract
The efficient management of assets delivers value and is essential for achieving service objectives, managing risks, and reducing costs. This paper proposes decision-support methods to help capital-intensive industries manage their assets and optimise their life cycle. Optimisation approaches were developed to support longterm investment planning by maximising the value created and minimising the budget used. Also, the trade-off for both objectives was analysed. Using the proposed models will lead to efficient management of available capital and excellent service delivery. Thus, water companies will fulfil the regulator's requirements and present well-founded decision-making. This study was applied to a Portuguese water utility.
2023
Autores
Fernandes, H; Barbosa, F; Nóvoa, H; Silva, J; Camacho, A;
Publicação
Revista de Ativos de Engenharia
Abstract
Teses supervisionadas
2023
Autor
Francisco António Beleza Braga
Instituição
UM
2023
Autor
Gonçalo Filipe Ferreira Rodrigues
Instituição
UM
2023
Autor
Maria João Araújo Durães
Instituição
UM
2023
Autor
Miguel Ferreira Branco
Instituição
UM
2022
Autor
Ana Sofia de Vasconcelos Peixoto Fonseca
Instituição
UM
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.