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About

About

Adelaide Cerveira received the B.Sc. degree in Mathematics- Operations Research branch from the University of Coimbra, Coimbra, Portugal, in 1993, the M.Sc. degree in Operations Research from the University of Lisbon, Lisbon, Portugal, in 1998, and the Ph.D. degree in Statistics and Operations Research from the University of Lisbon, Lisbon, Portugal, in 2006.

She is currently an Auxiliary Professor in Mathematics Department of Science and Technology School with UTAD.

Her current research interests include combinatorial optimization and applications, especially on forest management and Network Design. Her past research also includes Semidefinite Programming and applications to Structural Design.

Interest
Topics
Details

Details

  • Name

    Adelaide Cerveira
  • Role

    Senior Researcher
  • Since

    01st May 2015
Publications

2023

Impact of Fire Recurrence and Induced Water Stress on Seed Germination and Root Mitotic Cell Cycle of Pinus pinaster Aiton

Authors
Ribeiro, S; Gaspar, MJ; Lima-Brito, J; Fonseca, T; Soares, P; Cerveira, A; Fernandes, PM; Louzada, J; Carvalho, A;

Publication
FORESTS

Abstract
Climate change will increase the frequency of drought, heat waves, and wildfires. We intended to analyse how fire recurrence and/or induced water stress can affect seed germination and root cell division in Pinus pinaster Aiton. Seeds from stands with no prior fire history and from post-fire regeneration (in areas burnt once, twice, and thrice) in northern Portugal were germinated in distilled water (control) and polyethylene glycol (PEG) to simulate water stress for four weeks, followed by a recovery period. Roots were analysed cytogenetically. The germination index of the Pinus pinaster seeds was not statistically influenced by the induction of osmotic stress, nor by the fire recurrence of the stands. The mean germination time (MGT) was 10-29 days and 1-36 days for the stress and recovery periods, respectively, and increased with PEG concentration. The 20% PEG treatment inhibited root growth after germination. The 10% PEG treatment induced a high frequency of cytogenetic anomalies, mostly in the sites which experienced fire exposure. While fire recurrence did not affect the germination rate, it seemed to reduce the water stress response, negatively impacting cell division and impair root growth.

2023

Self-Sustainability Assessment for a High Building Based on Linear Programming and Computational Fluid Dynamics

Authors
Oliveira, C; Baptista, J; Cerveira, A;

Publication
ALGORITHMS

Abstract
With excess energy use from non-renewable sources, new energy generation solutions must be adopted to make up for this excess. In this sense, the integration of renewable energy sources in high-rise buildings reduces the need for energy from the national power grid to maximize the self-sustainability of common services. Moreover, self-consumption in low-voltage and medium-voltage networks strongly facilitates a reduction in external energy dependence. For consumers, the benefits of installing small wind turbines and energy storage systems include tax benefits and reduced electricity bills as well as a profitable system after the payback period. This paper focuses on assessing the wind potential in a high-rise building through computational fluid dynamics (CFD) simulations, quantifying the potential for wind energy production by small wind turbines (WT) at the installation site. Furthermore, a mathematical model is proposed to optimize wind energy production for a self-consumption system to minimize the total cost of energy purchased from the grid, maximizing the return on investment. The potential of a CFD-based project practice that has wide application in developing the most varied processes and equipment results in a huge reduction in the time and costs spent compared to conventional practices. Furthermore, the optimization model guarantees a significant decrease in the energy purchased at peak hours through the energy stored in energy storage systems (ESS). The results show that the efficiency of the proposed model leads to an investment amortization period of 7 years for a lifetime of 20 years.

2023

Energy Flows Optimization in a Renewable Energy Community with Storage Systems Integration

Authors
Araújo, I; Cerveira, A; Baptista, J;

Publication
Renewable Energy and Power Quality Journal

Abstract
Currently, there is increasing implementation of renewable energy communities, where consumers and producers come together to form energy cooperatives. This growing trend has been accompanied by several studies aiming to optimize energy exchanges and sharing inside the community, always taking into account the most favorable tariff regimes for community members. This paper presents an analysis that, based on applying a linear programming model, optimizes energy transactions in a renewable energy community with the integration of storage systems. The results show the developed model's effectiveness, presenting substantial profits for the community.

2023

Offshore Wind Farm Layout Optimisation Considering Wake Effect and Power Losses

Authors
Baptista, J; Jesus, B; Cerveira, A; Pires, EJS;

Publication
SUSTAINABILITY

Abstract
The last two decades have witnessed a new paradigm in terms of electrical energy production. The production of electricity from renewable sources has come to play a leading role, thus allowing us not only to face the global increase in energy consumption, but also to achieve the objectives of decarbonising the economies of several countries. In this scenario, where onshore wind energy is practically exhausted, several countries are betting on constructing offshore wind farms. Since all the costs involved are higher when compared to onshore, optimising the efficiency of this type of infrastructure as much as possible is essential. The main aim of this paper was to develop an optimisation model to find the best wind turbine locations for offshore wind farms and to obtain the wind farm layout to maximise the profit, avoiding cable crossings, taking into account the wake effect and power losses. The ideal positioning of wind turbines is important for maximising the production of electrical energy. Furthermore, a techno-economic analysis was performed to calculate the main economic indicators, namely the net present value, the internal rate of return, and the payback period, to support the decision-making. The results showed that the developed model found the best solution that maximised the profits of the wind farm during its lifetime. It also showed that the location of the offshore substation played a key role in achieving these goals.

2023

Optimizing wind farm cable layout considering ditch sharing

Authors
Cerveira, A; de Sousa, A; Pires, EJS; Baptista, J;

Publication
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH

Abstract
Wind power is becoming an important source of electrical energy production. In an onshore wind farm (WF), the electrical energy is collected at a substation from different wind turbines through electrical cables deployed over ground ditches. This work considers the WF layout design assuming that the substation location and all wind turbine locations are given, and a set of electrical cable types is available. The WF layout problem, taking into account its lifetime and technical constraints, involves selecting the cables to interconnect all wind turbines to the substation and the supporting ditches to minimize the initial investment cost plus the cost of the electrical energy that is lost on the cables over the lifetime of the WF. It is assumed that each ditch can deploy multiple cables, turning this problem into a more complex variant of previously addressed WF layout problems. This variant turns the problem best fitting to the real case and leads to substantial gains in the total cost of the solutions. The problem is defined as an integer linear programming model, which is then strengthened with different sets of valid inequalities. The models are tested with four WFs with up to 115 wind turbines. The computational experiments show that the optimal solutions can be computed with the proposed models for almost all cases. The largest WF was not solved to optimality, but the final relative gaps are small.

Supervised
thesis

2022

Optimização da exploração de redes de distribuição com integração de centrais elétricas virtuais

Author
Joana Moura Pereira Duro

Institution
UTAD

2021

Natural regeneration of Pinus pinaster (Ait.) and Quercus suber (L.) in Mainland Portugal

Author
Stéphanie Lopes Ribeiro

Institution

2021

Otimização de sistemas de autoconsumo baseados no potencial eólico para edifícios de elevada altura

Author
Carlos José Seabra Costa Oliveira

Institution
UTAD

2017

Otimização do abastecimento interno do Centro Hospitalar de Trás-os-Montes e Alto Douro, EPE

Author
Javier Alvarez da Rocha

Institution
UTAD

2017

Sistemas de Suporte à Decisão Aplicados à Gestão Florestal Sustentável em Povoamentos de Pinus pinaster Ait.

Author
Paulo Daniel Monteiro Costa

Institution
UTAD