Bogdan DorneanuUniversity of Surrey · Department of Chemical and Process Engineering
Bogdan Dorneanu
PhD
About
50
Publications
2,188
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96
Citations
Citations since 2017
Introduction
Bogdan Dorneanu currently works at the Department of Chemical and Process Engineering, University of Surrey. Bogdan does research in Chemical Engineering.
Publications
Publications (50)
State-of-the-art approaches for membrane cleaning scheduling have focused on the Mixed-Integer Nonlinear Programming (MINLP) formulation so far, a strategy leading to a combinatorial problem that does not capture accurately the dynamic behaviour of the system. In this work, the Reverse Osmosis (RO) cleaning scheduling problem is solved using a nove...
Various pests which diminish the quality of the fruit have a big influence on the organic banana production in the Piura region of Peru (and not only) and prevent it from being sold on the international market. In this study, a framework for facilitating the prediction of the pest incidence in organic banana crops is developed. To achieve this, a d...
Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integration of digital components with the actual physical units involved. This process can be thought of as the addition of a central nervous system with a sensing and control monitoring of components and regulating the performance of the individual...
A first contribution of this paper is an overview of the research efforts and contributions
over several decades in the area of scheduling maintenance optimization for decaying
performance dynamic processes. Following breakthrough ideas and implementation in
the area of heat exchanger networks for optimal scheduling of cleaning actions subject to
e...
In this contribution, a dynamic first principles model of an existing 3.01 MW natural gas
fired water bath heater (WBH) in operation at the Takoradi Distribution Station (TDS) in
Ghana is developed primarily to predict the outlet temperature of the natural gas stream
being heated. The model is intended to be applied during operations to provide use...
This paper introduces the development of an intelligent monitoring and control
framework for chemical processes, integrating the advantages of technologies such as
Industry 4.0, cooperative control or fault detection via wireless sensor networks. The
system described is able to detect faults using information on the process’ structure and
behaviour...
In this work, a custom dynamic mathematical model of an industrial vertical-cylindrical type natural gas fired natural draft heater is developed using gPROMS® ProcessBuilder®. The integrated model comprises sub-models for each of the distinct sections of the fired heater which are connected by mass and energy flows. The temperature profiles of the...
![Solar irradiance [24].](publication/358661466/figure/tbl1/AS:1138896561803265@1648545508087/Solar-irradiance-24_Q320.jpg)
This work presents the development of a decision-making strategy for fulfilling the power and heat demands of small residential neighborhoods. The decision on the optimal operation of a microgrid is based on the model predictive control (MPC) rolling horizon. In the design of the residential microgrid, the new approach different technologies, such...
This paper investigates the challenging fault prediction problem in process industries that adopt autonomous and intelligent cyber-physical systems (CPS), which is in line with the emerging developments of industrial internet of things (IIoT) and Industry 4.0. Particularly, we developed an end-to-end deep learning approach based on a large volume o...
This contribution introduces a data acquisition and modelling framework for the prediction of banana pests’ incidence. An IoT sensors-based system collects weather and micro-climate variables, such as temperature, relative humidity, and wind speed, which are uploaded in real time to a cloud storage space. The incidence of the red rust thrips (Chaet...
In this contribution, the development of a toolbox for the simulation of trickle bed reactors based on a model able to account for the local properties of the liquid and gas flow in a packed bed at particle scale is introduced. The implementation uses a modular and flexible setup, with local liquid distribution considered as a function of the opera...
Using the Umicore process, a current state-of-the-art recycling in the metal recovery industry for lithium battery waste, as a baseline, this contribution examines economic and environmentally friendly solutions for effective metal recovery from spent LIBs. At the same time, possible synergies between existing resource use from other manufacturing...
This contribution introduces a combined liquid chromatography purification designed for a continuous and resource-efficient process, integrating the rotating columns and the simulated bed principles. The approach is demonstrated and validated based on bisabolol oxides A and B, which are effective ingredients with anti-inflammatory and spasmolytic e...
Different designs of distributed energy resources (DER) systems could lead to different performance in reducing cost, environmental impact or use of primary energy in residential networks. Hence, optimal design and management are important tasks to promote diffusion against the centralised grid. However, current operational models for such systems...
![UK solar insolation data (adapted from [16]).](publication/353514789/figure/tbl2/AS:1050772867391490@1627535182484/UK-solar-insolation-data-adapted-from-16_Q320.jpg)
![UK wind speed data (adapted from [16]).](publication/353514789/figure/tbl3/AS:1050772867387394@1627535182509/UK-wind-speed-data-adapted-from-16_Q320.jpg)
This paper presents a framework for the use of variable pricing to control electricity im-ported/exported to/from both fixed and unfixed residential distributed energy resource (DER) network designs. The framework shows that networks utilizing much of their own energy, and importing little from the national grid, are barely affected by dynamic impo...
This paper presents a mixed integer linear programming model for the optimal design of a distributed energy resource (DER) system that meets electricity, heating, cooling and domestic hot water demands of a neighbourhood. The objective is the optimal selection of the system components among different technologies, as well as the optimal design of t...
The catalytic reduction of CO2 into value-added products has been considered a compelling solution for alleviating global warming and energy crises. The Reverse Water Gas Shift (RWGS) reaction plays a pivotal role among the various CO2 utilization approaches, due to the fact that it produces syngas, the building block of numerous conversion process...
This paper investigates the challenging problems in the application of autonomous and intelligent wireless sensor network (WSN) embedded cyber-physical systems (CPS) for industrial internet of things (IIoT) (Industrial 4.0 applications). Particularly, we focus on process fault prediction using an end-to-end deep learning approach based on a large v...
This contribution presents a kinetic study for the identification of the complex reaction mechanism occurring during the ABE upgrading, and the development of a kinetic model. Employing graph theory analysis, a directed bipartite graph is constructed to reduce the complexity of the reaction network, and the reaction rate constants and reaction orde...
Distributed Energy Systems (DES) are set to play a vital role in achieving emission targets and meeting higher global energy demand by 2050. However, implementing these systems has been challenging, particularly due to uncertainties in local energy demand and renewable energy generation, which imply uncertain operational costs. In this work we are...
This contribution introduces the development of an intelligent monitoring and control framework for chemical processes, integrating the advantages of Industry 4.0 technologies, cooperative control and fault detection via wireless sensor networks. Using information on the process' structure and behaviour, equipment information, and expert knowledge,...
Recently, the fifth-generation (5G) cellular system has been standardised. As opposed to legacy cellular systems geared towards broadband services, the 5G system identifies key use cases for ultra-reliable and low latency communications (URLLC) and massive machine-type communications (mMTC). These intrinsic 5G capabilities enable promising sensor-b...
This paper presents two nonlinear model predictive control based methods for solving closed-loop stochastic dynamic optimisation problems, ensuring both robustness and feasibility with respect to state output constraints. The first one is a new deterministic approach, using the wait-and-see strategy. The key idea is to specifically anticipate viola...
This paper examines the most important approaches that could be applied for the introduction of circular economy strategies for the banana production process in the region of Piura (Peru). Based on this, a framework for an optimized economic cycle that is able to conserve resources and minimize the capital investments of farmers, while simultaneous...
This contribution presents the development of a model for the refrigeration plant used for mangos, which is able to simulate both the chamber and the fruit temperatures. The model is developed from energy balances for each section of the refrigeration system and the fruits, and is the basis for the setup of a fuzzy controller, capable of regulating...
This work investigates the use of variable pricing to control electricity imported and exported to and from both fixed and unfixed distributed energy resource network designs within the UK residential sector. It was proven that networks which utilise much of their own energy and import little from the national grid are barely affected by variable i...
Current industrial trends promote reduction of material and energy consumption of fossil fuel burning, and energy-intensive process equipment. It is estimated that approximately 75% of the energy consumption in hydrocarbon processing facilities is used by such equipment as fired heater, hence even small improvements in the energy conservation may l...
Traditional food supply chains are often centralised and global in nature. Moreover they require a large amount of resource which is an issue in a time with increasing need for more sustainable food supply chains. A solution is to use localised food supply chains, an option theorised to be more sustainable, yet not proven. Therefore, this paper com...
This contribution introduces a framework for the fault detection and healing of chemical processes over wireless sensor networks. The approach considers the development of a hybrid system which consists of a fault detection method based on machine learning, a wireless communication model and an ontology-based multi-agent system with a cooperative c...
Industry 4.0 is transforming chemical processes into complex, smart cyber-physical systems that require intelligent methods to support the operators in taking decisions for better and safer operation. In this paper, a multi-agent cooperative-based model predictive system for monitoring and control of a chemical pro-cess is proposed. This system use...
This paper presents the results of a Mixed-Integer Liner Programming (MILP) model for the
optimal design and operation of a distributed energy resource (DER) system in the UK residential sector.
The model optimizes the design and utilization of a network with integrated heating/cooling pipelines and
micro-grid connections between neighborhoods, in...
This contribution presents the proof of concept for a consensus-based approach for the design and assessment of control structures in chemical plants. The applicability of the proposed approach is demonstrated on an existing mini-plant. For this purpose, a reduced dynamic model that considers a simplified structure of the plant, consisting of feed...
The European Programme on Critical Infrastructure Protection (EPCIP) of the European Commission is in search for a methodology to analyse economic losses following from Critical Infrastructure failure in the European Union. Therefore, a federated Systems Engineering and Dynamic Inoperability Input-Output model (SE-DIIM) is being developed. The syst...
The European Programme on Critical Infrastructure Protection (EPCIP) of the European Commission is in search for a methodology to analyse economic consequences of critical infrastructure failure in the European Union. A combined Systems Engineering and Inoperability Input-Output model (SE-IIM) is developed to analyse the economic impact of such fai...
This paper shows a model for analyzing interdependencies and economic consequences of
infrastructure failure in the EU. The Joint Research Centre (JRC) supports European Policies
in the domain of critical infrastructures protection that is part of the European Programme for
Critical Infrastructure Protection (EPCIP).
Process systems & models have structural and behavioural features, which can be exploited for model reduction. A reduction approach is introduced addressing both features, while systematically going through the usual model development steps. Thus, the reduction is not applied only at mathematical and numerical level, but at physical and systemic le...
During the last decades, models have become widely used for supporting a broad range of chemical engineering activities, such as product and process design and development, process monitoring and control, real time optimization of plant operation or supply chain management. Although tremendous advancements continue to take place in the development...
This contribution deals with the development of a reduced yet complex model, to support process design and operation. The model is computationally effective. The main physical phenomena considered in the model are the axial convective transport of mass, the radial outflow of heat at coolant wall to the refrigerant, the growth of the frozen ice laye...
This contribution deals with the development of a first-principles model for ice cream formation in the freezing unit to support product design and plant operation. Conservation equations for the mass, energy and momentum, considering axial flow assumptions are taken into account. The distributed features of the ice crystals and air bubbles are con...
This paper proposes an approach for obtaining reduced-order models of chemical processes with application to the design of plantwide control systems. The approach is based on the inherent structure that exists in a chemical plant and identifies units or groups of units which determine the steady-state and dynamic behaviour of the plant. Specific re...
The application of model reduction techniques in the context of dynamic optimization of chemical plants operation is investigated. The focus is on the derivation and use of reduced models for the design and implementation of optimal dynamic operation in large-scale chemical plants. The recommended procedure is to apply the model reduction to indivi...
The derivation and applicability of reduced-order models for selection and assessment of plantwide control structures is studied. The paper demonstrates the advantage of exploiting the intrinsic structure of a chemical plant, which mirrors the decentralization of the control problem. The recommended procedure is to apply model reduction to individu...
Projects
Projects (2)
This research aims to develop a 6S technology for industrial processes by integrating sensor and predictive modelling networks to enable intelligent maintenance of industrial infrastructures under challenging environments. The main objectives are summarised as follows:
• To develop a systematic model- and simulation based decision-making framework enabling connectivity of systems based on multi-criteria analysis and selection of operational, design and safety options in extreme environment systems;
• To develop modular built (surrogate) models as an integral part of the entire system and its interdependencies and thus offering new abilities in decision making associated with risk and uncertainty;
• To develop communication and networking techniques that can facilitate short-burst transmissions and improve operational capabilities, network performance and lifetime of autonomous sensor nodes;
• To design reliable and flexible sensor networks with low-complexity, low power-consumption as well as adaptive and self-management capabilities;
• To investigate strategies for autonomous software architectures that exhibit rapid information selection, scene understanding and decision making capabilities in the remote sensing networks;
• To develop novel architectures based on hierarchical subsumption-based control characteristics that would implicitly involve context dependent and complex evolutionary learning processes;
• To examine the performance of the multi-modal based control architectures in real time with other sensors;
• To integrate modeling and simulation as a vital component at the heart of the network for ongoing assessment, verification and optimization of designs as changes occur.
