Valentina Gogulancea

Dr. Valentina Gogulancea


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2019 in PLOS Computational Biology
Verified
Journal Article
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BLBowen Li
Bowen Li
DTDenis Taniguchi
Denis Taniguchi
JGJayathilake Pahala Gedara
Jayathilake Pahala Gedara
VGValentina Gogulancea
Valentina Gogulancea
RGRebeca Gonzalez-Cabaleiro
Rebeca Gonzalez-Cabaleiro
PZPaolo Zuliani
Paolo Zuliani
We present NUFEB (Newcastle University Frontiers in Engineering Biology), a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and their behaviour changes over time due to a variety of processes. This approach allows us to study population behaviours that emerge from the interaction between individuals and their environment. NUFEB is built on top of the classical molecular dynamics simulator LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator), which we extended with IbM features. A wide range of biological, physical and chemical processes are implemented to explicitly model microbial systems, with particular emphasis on biofilms. NUFEB is fully parallelised and allows for the simulation of large numbers of microbes (107 individuals and beyond). The parallelisation is based on a domain decomposition scheme that divides the domain into multiple sub-domains which are distributed to different processors. NUFEB also offers a collection of post-processing routines for the visualisation and analysis of simulation output. In this article, we give an overview of NUFEB’s functionalities and implementation details. We provide examples that illustrate the type of microbial systems NUFEB can be used to model and simulate. Individual-based Models (IbM) are one of the most promising frameworks to study microbial communities, as they can explicitly describe the behaviour of each cell. The development of a general-purpose IbM solver should focus on efficiency and flexibility due to the unique characteristics of microbial systems. However, available tools for these purposes present significant limitations. Most of them only facilitate serial computing for single simulation, or only focus on biological processes, but do not model mechanical and chemical processes in detail. In this work, we introduce the IbM solver NUFEB that addresses some of these shortcomings. The tool facilitates the modelling of much needed biological, chemical, physical and individual microbes in detail, and offers the flexibility of model extension and customisation. NUFEB is also fully parallelised and allows for the simulation of large complex microbial system. In this paper, we first give an overview of NUFEB’s functionalities and implementation details. Then, we use NUFEB to model and simulate a biofilm system with fluid dynamics, and a large and complex biofilm system with multiple microbial functional groups and multiple nutrients.

13 August 2019 in Frontiers in Microbiology
Verified
Journal Article
Open access
VGValentina Gogulancea
Valentina Gogulancea
RGRebeca González-Cabaleiro
Rebeca González-Cabaleiro
BLBowen Li
Bowen Li
DTDenis Taniguchi
Denis Taniguchi
PJPahala Gedara Jayathilake
Pahala Gedara Jayathilake
TCThomas P. Curtis
Thomas P. Curtis
Individual based Models (IbM) must transition from research tools to engineering tools. To make the transition we must aspire to develop large, three dimensional and physically and biologically credible models. Biological credibility can be promoted by grounding, as far as possible, the biology in thermodynamics. Thermodynamic principles are known to have predictive power in microbial ecology. However, this in turn requires a model that incorporates pH and chemical speciation. Physical credibility implies plausible mechanics and a connection with the wider environment. Here, we propose a step toward that ideal by presenting an individual based model connecting thermodynamics, pH and chemical speciation and environmental conditions to microbial growth for 5·105 individuals. We have showcased the model in two scenarios: a two functional group nitrification model and a three functional group anaerobic community. In the former, pH and connection to the environment had an important effect on the outcomes simulated. Whilst in the latter pH was less important but the spatial arrangements and community productivity (that is, methane production) were highly dependent on thermodynamic and reactor coupling. We conclude that if IbM are to attain their potential as tools to evaluate the emergent properties of engineered biological systems it will be necessary to combine the chemical, physical, mechanical and biological along the lines we have proposed. We have still fallen short of our ideals because we cannot (yet) calculate specific uptake rates and must develop the capacity for longer runs in larger models. However, we believe such advances are attainable. Ideally in a common, fast and modular platform. For future innovations in IbM will only be of use if they can be coupled with all the previous advances.

1 September 2014 in Applied Thermal Engineering
Verified
Journal Article
Closed access
VGValentina Gogulancea
Valentina Gogulancea
Vasile LavricVasile Lavric
Vasile Lavric

22 July 2023 in International Journal of Energy Research
Verified
Journal Article
Open access
PDF file
VGValentina Gogulancea
Valentina Gogulancea
ARAngela Rolfe
Angela Rolfe
MJMohammad Jaffar
Mohammad Jaffar
CBCaterina Brandoni
Caterina Brandoni
Konstantinos AtsoniosKonstantinos Atsonios
Konstantinos Atsonios
YHYe Huang
Ye Huang
Chemical looping gasification is a promising biomass conversion technology that could produce sustainable liquid transportation fuels on a large scale to reduce fossil fuel dependency. The current paper examines the technical, economic, and environmental performance of a biomass-to-liquid (BtL) process based on chemical looping gasification and Fischer-Tropsch synthesis. Two biomass feedstocks, i.e., pine forest residues and wheat straw, are selected for assessing the complete BtL production chain. The results of process simulations showed that both biomass types are suitable gasification feedstocks, with an overall energy efficiency of 53 and 52 for pine residues and wheat straw, respectively. The economic results show that the breakeven selling prices (BESP) are 816 and 781 per m3 for the pine forest residues and wheat straw pellets, respectively. However, if low-grade excess heat valorisation and CO2 credits are considered, the BESPs could meet or become lower than the target value of 700 per m3, making the BtL plant competitive with other biofuel plants. The CO2 avoidance cost is estimated at 74.4/tCO2 for pine residues and 61.3/tCO2 for wheat straw, when replacing fossil fuels. The results of the life cycle assessment study showed that the produced biofuels fulfil the requirements of the EU Renewable Energy Directive II, achieving the reduction in greenhouse gases emissions of up to 79 without carbon capture and storage (CCS) and up to 264 with CCS compared to fossil fuels.

1 September 2017 in Radiation Physics and Chemistry
Verified
Journal Article
Closed access
EZEwa Zwolińska
Ewa Zwolińska
VGValentina Gogulancea
Valentina Gogulancea
Yongxia SunYongxia Sun
Yongxia Sun
VLVasile Lavric
Vasile Lavric
Andrzej G ChmielewskiAndrzej G Chmielewski
Andrzej G Chmielewski

18 July 2018 in Energy & Fuels
Verified
Journal Article
Closed access
IBIonut Banu
Ionut Banu
RGRodica Ganea
Rodica Ganea
GVGabriel Vasilievici
Gabriel Vasilievici
AAAlin Anghel
Alin Anghel
VGValentina Gogulancea
Valentina Gogulancea
GBGrigore Bozga
Grigore Bozga