TY - GEN A1 - Mappas, Vassileios A1 - Vassiliadis, Vassilios S. A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Maintenance scheduling optimisation of Reverse Osmosis Networks (RONs) via a multistage Optimal Control reformulation T2 - Desalination N2 - 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 novel approach based on the Multistage Integer Nonlinear Optimal Control Problem (MSINOCP) formulation. The approach produces an automated solution for the membrane cleaning scheduling, which also obviates the need for any form of combinatorial optimisation. Two different simulations, for 26 and 52 periods of operation (each period with a duration of one week), are carried out to illustrate the application of the proposed framework and the total cost is 1.17 and 2.48 10⁷ €, respectively. The RO network configuration considers 2 stages, each with 3 individual RO modules. The results show evidently that the new proposed solution framework can solve successfully this type of problems, even for large scale configurations, long time horizons and arbitrary realistic complexity of the underlying dynamic model of the RO process considered. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S0011916422005604?via%3Dihub U6 - https://doi.org/10.1016/j.desal.2022.116105 SN - 1873-4464 SN - 0011-9164 VL - 543 ER - TY - GEN A1 - Campos, Jean C. A1 - Manrique, Jose A1 - Dorneanu, Bogdan A1 - Ipanaqué, William A1 - Arellano-Garcia, Harvey T1 - A smart decision framework for the prediction of thrips incidence in organic banana crops T2 - Ecological Modelling N2 - 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 data acquisition system with smart sensors is implemented to monitor the meteorological variables that influence the growth of the pests. The proposed framework is utilised for the assessment of various mathematical representations of the pest incidence. These models are adapted from population growth functions and built in such way as to predict the behaviour of the insects at non-regular time intervals. A hybrid approach, combining mechanistic and data-based methods is utilised for the development of the models. Both linear and nonlinear dynamic relationships with the temperature are assumed. The results show that nonlinear model representations have greater accuracy (a fit index of more than 70%), which provides a basis for improving pest management actions on the organic banana farms. KW - Pest control KW - Organic banana KW - Mathematical modelling KW - Smart sensors KW - Precision agriculture Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S0304380022002484?via%3Dihub U6 - https://doi.org/10.1016/j.ecolmodel.2022.110147 SN - 1872-7026 VL - 473 ER - TY - GEN A1 - Yentumi, Richard A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Mathematical modelling, simulation and optimisation of an indirect water bath heater at the Takoradi distribution station (TDS) T2 - Computer Aided Chemical Engineering N2 - 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 useful data to optimise material and energy consumption, as well as minimise CO2 emissions. Due to the low thermal efficiencies of WBHs, even small improvements in efficiency can result in significant savings. The firetube and process coils are both modelled as onedimensional (1D) thin-walled tubes and the entire model incorporates mass and energy conservation equations, heat transfer rate relations and rigorous thermodynamic p-V-T relations. In contrast to what commonly exists in literature, this model accurately estimates the enthalpy change of the natural gas stream being heated by accounting for its enthalpy departure correction term due to pressure, in addition to the ideal gas heat capacity relation which is a function of only temperature. The coupled ordinary differential and algebraic equations are implemented using gPROMS® ModelBuilder® V4.2.0, a commercial modelling and simulation software. Verification of the model results showed good agreement between the model predictions and actual on field measurements. With excess air at 15%, the simulation results closely approximate measured data with an absolute error of about 0.31 %. More importantly, the results show that significant savings of up to 30% per annum can be made through optimal operation of the water bath heater. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323851596501639?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-85159-6.50163-9 SN - 1570-7946 VL - 49 SP - 979 EP - 984 ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Vassiliadis, Vassilios S. A1 - Arellano-Garcia, Harvey T1 - Maintenance scheduling optimization for decaying performance nonlinear dynamic processes T2 - Computer Aided Chemical Engineering N2 - 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 exchanger surface fouling, these concepts were transferred successfully to the area of scheduling catalyst replacement actions in catalytic reactor networks. This necessary overview leads to the main, second contribution aimed with this work: its application to restorative maintenance scheduling in the area of RON regeneration actions planning, as well as point to new areas where this approach can be fruitfully applied to and extended into in the near future – particularly enhancing model descriptions that include general types of planning uncertainty. The effectiveness and efficacy of the approach is demonstrated computationally in this work. Y1 - 2022 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780323851596500841?via%3Dihub U6 - https://doi.org/10.1016/B978-0-323-85159-6.50084-1 SN - 1570-7946 VL - 49 SP - 505 EP - 510 ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Masham, Elliot A1 - Mechleri, Evgenia A1 - Arellano-Garcia, Harvey T1 - Centralised versus localised supply chain management using a flow configuration model T2 - Computer Aided Chemical Engineering N2 - 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 compares the two systems to investigate which one is more environmentally friendly, cost efficient and resilient to disruption risks. This comparison between the two types of supply chains, is performed using MILP models for an ice cream supply chain for the whole of England over the period of a year. The results obtained from the models show that the localised model performs best environmentally and economically, whilst the traditional, centralised supply chain performs best for resilience. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128186343502319?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-818634-3.50231-9 SN - 1570-7946 VL - 46 SP - 1381 EP - 1386 ER - TY - GEN A1 - Yentumi, Richard A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Modelling and optimal operation of a natural gas fired natural draft heater T2 - Computer Aided Chemical Engineering N2 - 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 lead to significant savings [1, 2]. In this work, a mathematical modelling and optimisation study is undertaken using gPROMS® ProcessBuilder® to determine the optimal operating conditions of an existing API 560 Type-E vertical-cylindrical type natural draft fired heater, in operation at the Atuabo Gas Processing Plant (GPP), in the Western Region of Ghana. It is demonstrated that the optimisation results in significant reduction of fuel gas consumption and operational costs. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/B978012818634350165X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-818634-3.50165-X SN - 1570-7946 VL - 46 SP - 985 EP - 990 ER - TY - GEN A1 - Mechleri, Evgenia A1 - Sidnell, Tim A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - Optimisation and control of a distributed energy resource network using Internet-of-Things technologies T2 - Computer Aided Chemical Engineering N2 - 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 import pricing, but are encouraged to export more energy to the grid by dynamic export pricing. Dynamic import and export pricing increased CO2 emissions due to feed-in tariffs which encourages CHP generation over lower-carbon technologies such as solar panels or wind turbines. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/B978012818634350014X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-818634-3.50014-X SN - 1570-7946 VL - 46 SP - 79 EP - 84 ER - TY - GEN A1 - Arellano-Garcia, Harvey A1 - Dorneanu, Bogdan A1 - Mechleri, Evgenia T1 - Devicification of Food Process Engineering T2 - Reference Module in Chemistry, Molecular Sciences and Chemical Engineering N2 - Food and beverages industry is facing major challenges in the years to come, as the world population is expected to grow, accompanied by a growing need for energy, feed and fuel. Much of the processing in the food industry is performed in small-scale decentralized plants, with relatively few possibilities of energy recovery. Innovation in areas such as process and product modeling, process intensification and process control enable the development of new manufacturing pathways, more efficient, versatile, selective and sustainable. Furthermore, the addition of Internet of Things elements and the way they connect to the physical process will ensure continuous communication between the various actors of the food value chain. This will enable the design of new compact, scalable, flexible, modular, and automated production equipment that will offer food manufacturers the ability to respond rapidly, economically, accurately and flexibly to the consumer demands. Y1 - 2019 UR - https://www.sciencedirect.com/science/article/pii/B9780124095472144269?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-409547-2.14426-9 VL - 2019 ER - TY - GEN A1 - De Mel, Ishanki A1 - Demis, Panagiotis A1 - Dorneanu, Bogdan A1 - Klymenko, Oleksiy A1 - Mechleri, Evgenia A1 - Arellano-Garcia, Harvey T1 - Global Sensitivity Analysis for Design and Operation of Distributed Energy Systems T2 - Computer Aided Chemical Engineering N2 - 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 implementing a Mixed-Integer Linear Programming (MILP) model for the operation of a DES, and analysing impacts of uncertainties in electricity demand, heating demand and solar irradiance on the main model output, the total daily operational cost, using Global Sensitivity Analysis (GSA). Representative data from a case study involving nine residential areas at the University of Surrey are used to test the model for the winter season. Distribution models for uncertain variables, obtained through statistical analysis of raw data, are presented. Design results show reduced costs and emissions, whilst GSA results show that heating demand has the largest influence on the variance of total daily operational cost. Challenges and design limitations are also discussed. Overall, the methodology can be easily applied to improve DES design and operation. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B9780128233771502548?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50254-8 SN - 1570-7946 VL - 48 SP - 1519 EP - 1524 ER - TY - GEN A1 - Menzhausen, Robert A1 - Merino, Manuel A1 - Dorneanu, Bogdan A1 - Arellano-Garcia, Harvey T1 - A Fuzzy Control Approach for an Industrial Refrigeration System T2 - Computer Aided Chemical Engineering N2 - 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 continuously the compressor’s frequency to achieve the desired temperature. The model is able to accurately predict the chamber temperature profiles, but is more sensitive when simulating the fruit temperature. The fuzzy controller is able to achieve the set-point more accurately and in a shorter time than the on/off control, achieving a decrease in energy consumption as well. Y1 - 2020 UR - https://www.sciencedirect.com/science/article/abs/pii/B978012823377150210X?via%3Dihub U6 - https://doi.org/10.1016/B978-0-12-823377-1.50210-X SN - 1570-7946 VL - 48 SP - 1255 EP - 1260 ER -