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Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning (2023)
Presentation / Conference Contribution
Torayev, A., Abadia, J. J. P., Martínez-Arellano, G., Cuesta, M., Chaplin, J. C., Larrinaga, F., Sanderson, D., Arrazola, P. J., & Ratchev, S. (2023, October). Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning. Presented at 56th CIRP Conference onManufacturing Systems, CIRP CMS ‘23, Cape Town

In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing configurations are those that minim... Read More about Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning.

Cost, rate, and robustness (2023)
Book Chapter
Hancock, S., & Harper, L. (2023). Cost, rate, and robustness. In Design and Manufacture of Structural Composites (447-471). Elsevier. https://doi.org/10.1016/B978-0-12-819160-6.00022-6

This chapter outlines the most important considerations for the economic evaluation of composites, as assessing both cost and performance in parallel is critical for designing and manufacturing efficient applications. The cost of raw materials is oft... Read More about Cost, rate, and robustness.

Design and Manufacture of Structural Composites (2023)
Book
Harper, L., & Clifford, M. (Eds.). (2023). Design and Manufacture of Structural Composites. Elsevier. https://doi.org/10.1016/c2018-0-05165-8

Design and Manufacture of Structural Composites provides an overview of the main manufacturing challenges encountered when processing fibre-reinforced composite materials. Composites are unique in that the material is created at the same time as the... Read More about Design and Manufacture of Structural Composites.

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (2024). Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings. Journal of Building Engineering, 84, Article 108420. https://doi.org/10.1016/j.jobe.2023.108420

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

Two-dimensional to three-dimensional dry fibre preforming (2023)
Book Chapter
Chen, S., & Harper, L. (2023). Two-dimensional to three-dimensional dry fibre preforming. In Design and Manufacture of Structural Composites (101-123). Elsevier. https://doi.org/10.1016/B978-0-12-819160-6.00005-6

Preforming is the process of converting two-dimensional (2D) intermediate fibre products, such as fabrics and mats, into complex three-dimensional (3D) shapes to resemble the geometry of the final component. Preforming is a necessary step for all liq... Read More about Two-dimensional to three-dimensional dry fibre preforming.

Towards the Contemporary Conservation of Cultural Heritages: An Overview of Their Conservation History (2023)
Journal Article
Li, L., & Tang, Y. (2024). Towards the Contemporary Conservation of Cultural Heritages: An Overview of Their Conservation History. Heritage, 7(1), 175-192. https://doi.org/10.3390/heritage7010009

This paper seeks contemporary cultural heritage conservation principles by reviewing its history, starting from the 18th century, in practices, international documents, and the literature on this topic. It intends to lay a foundation to avoid damagin... Read More about Towards the Contemporary Conservation of Cultural Heritages: An Overview of Their Conservation History.

Introduction (2023)
Book Chapter
Harper, L., & Clifford, M. (2023). Introduction. In Design and Manufacture of Structural Composites (3-17). Elsevier. https://doi.org/10.1016/b978-0-12-819160-6.00009-3

Fibre-reinforced polymer composites are acknowledged to offer some of the highest specific properties (stiffness, strength) of any engineering materials, but this chapter takes a look at why these materials are not more widely adopted for general str... Read More about Introduction.

Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics (2023)
Journal Article
Rigby, S. P., & Alsayah, A. (2024). Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics. Energies, 17(1), Article 211. https://doi.org/10.3390/en17010211

This paper reviews and evaluates work on the structural complexity of the potential carbon dioxide storage sites in the North Sea, including the nature of the reservoir structures, the reservoir rocks, the presence of inter-layers, faults, and fractu... Read More about Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics.

Design and Controllability Trade-Off in Dual Three-Phase Winding PMSMs (2023)
Presentation / Conference Contribution
Zhu, S., Qayyum, N., Ernest, E., Paciura, K., Zou, T., & Gerada, C. (2023, October). Design and Controllability Trade-Off in Dual Three-Phase Winding PMSMs. Presented at 2023 IEEE Energy Conversion Congress and Exposition (ECCE), Nashville, TN, USA

Designing and controlling dual three-phase motor poses significant challenges. The conventional mathematical model of such motors only considers fundamental components, thereby failing to capture the complete characteristics of the motors. In this st... Read More about Design and Controllability Trade-Off in Dual Three-Phase Winding PMSMs.

Nano-Scale Engineering of Heterojunction for Alkaline Water Electrolysis (2023)
Journal Article
Chen, Y., Xu, Z., & Chen, G. Z. (2024). Nano-Scale Engineering of Heterojunction for Alkaline Water Electrolysis. Materials, 17(1), Article 199. https://doi.org/10.3390/ma17010199

Alkaline water electrolysis is promising for low-cost and scalable hydrogen production. Renewable energy-driven alkaline water electrolysis requires highly effective electrocatalysts for the hydrogen evolution reaction (HER) and the oxygen evolution... Read More about Nano-Scale Engineering of Heterojunction for Alkaline Water Electrolysis.

Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications (2023)
Presentation / Conference Contribution
Riccio, J., Karamanakos, P., Degano, M., Gerada, C., & Zanchetta, P. (2023). Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications. In 2023 IEEE Energy Conversion Congress and Exposition (ECCE) (4995-5002). https://doi.org/10.1109/ECCE53617.2023.10362110

This paper introduces a novel geometric approach to significantly reduce the computational burden of modulated predictive controllers while maintaining the same steady-state performance and satisfactory dynamic behavior. The proposed geometric method... Read More about Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications.

Light environment control for reducing energy loss and increasing crop yield in plant factories (2023)
Journal Article
Zou, H., Li, C., Zhang, A., Zhang, X., Chen, X., Wang, F., …Zhang, S. (2024). Light environment control for reducing energy loss and increasing crop yield in plant factories. Solar Energy, 268, Article 112281. https://doi.org/10.1016/j.solener.2023.112281

Energy utilization for plant lighting is one of the primary constraints of the development of plant factories. Most researchers overlook the impact of energy attenuation during the propagation process on energy efficiency utilization, and the redistr... Read More about Light environment control for reducing energy loss and increasing crop yield in plant factories.

Collagen-like Osteoclast-Associated Receptor (OSCAR)-Binding Motifs Show a Co-Stimulatory Effect on Osteoclastogenesis in a Peptide Hydrogel System (2023)
Journal Article
Vitale, M., Ligorio, C., Richardson, S. M., Hoyland, J. A., & Bella, J. (2023). Collagen-like Osteoclast-Associated Receptor (OSCAR)-Binding Motifs Show a Co-Stimulatory Effect on Osteoclastogenesis in a Peptide Hydrogel System. International Journal of Molecular Sciences, 25(1), Article 445. https://doi.org/10.3390/ijms25010445

Osteoclastogenesis, one of the dynamic pathways underlying bone remodelling, is a complex process that includes many stages. This complexity, while offering a wealth of therapeutic opportunities, represents a substantial challenge in unravelling the... Read More about Collagen-like Osteoclast-Associated Receptor (OSCAR)-Binding Motifs Show a Co-Stimulatory Effect on Osteoclastogenesis in a Peptide Hydrogel System.

Harm from Residential Indoor Air Contaminants (2023)
Journal Article
Morantes, G., Jones, B., Molina, C., & Sherman, M. H. (2024). Harm from Residential Indoor Air Contaminants. Environmental Science and Technology, 58(1), 242-257. https://doi.org/10.1021/acs.est.3c07374

This study presents a health-centered approach to quantify and compare the chronic harm caused by indoor air contaminants using disability-adjusted life-year (DALY). The aim is to understand the chronic harm caused by airborne contaminants in dwellin... Read More about Harm from Residential Indoor Air Contaminants.

Introducing a novel method for simulating stochastic movement and occupancy in residential spaces using time-use survey data (2023)
Journal Article
Zhang, R., Zhou, T., Ye, H., & Darkwa, J. (2024). Introducing a novel method for simulating stochastic movement and occupancy in residential spaces using time-use survey data. Energy and Buildings, 304, Article 113854. https://doi.org/10.1016/j.enbuild.2023.113854

In the context of growing concerns over energy consumption and sustainability, accurate modelling of occupancy patterns within residential buildings is critical. In this study, a novel stochastic occupancy model is introduced for simulating human beh... Read More about Introducing a novel method for simulating stochastic movement and occupancy in residential spaces using time-use survey data.

A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services (2023)
Journal Article
Rehman, H. U., Mo, F., Chaplin, J. C., Zarzycki, L., Jones, M., & Ratchev, S. (2024). A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services. Journal of Manufacturing Systems, 72, 424-436. https://doi.org/10.1016/j.jmsy.2023.12.004

The increasing demand for personalized products and cost-effectiveness has highlighted the necessity of integrating intelligence into production systems. This integration is crucial for enabling intelligent control that can adapt to variations in fea... Read More about A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services.

Responsive CO2 capture: predictive multi-objective optimisation for managing intermittent flue gas and renewable energy supply (2023)
Journal Article
Fisher, O. J., Xing, L., Tian, X., Tai, X. Y., & Xuan, J. (2024). Responsive CO2 capture: predictive multi-objective optimisation for managing intermittent flue gas and renewable energy supply. Reaction Chemistry and Engineering, 9(2), 235-250. https://doi.org/10.1039/d3re00544e

The drive for efficiency improvements in CO2 capture technologies continues to grow, with increasing importance given to the need for flexible operation to adapt to the strong fluctuations in the CO2-rich flue gas flow rate and CO2 concentration. Usi... Read More about Responsive CO2 capture: predictive multi-objective optimisation for managing intermittent flue gas and renewable energy supply.

Building Information Modeling and Lean Construction (2023)
Book Chapter
Koskela, L., Talebi, S., Tezel, A., & Tzortzopoulos, P. (2023). Building Information Modeling and Lean Construction. In Building Information Modeling: Shared Modeling, Mutual Data, the New Art of Building (121-146). Wiley. https://doi.org/10.1002/9781394264933.ch6

The recognition of the connection between building information modeling (BIM) and Lean Construction is relatively recent. This chapter provides an overview and analysis on the connection between BIM and Lean. It discusses the contributions of BIM to... Read More about Building Information Modeling and Lean Construction.

Exploring the Utilisation of Natural Biosorbents for Effective Methylene Blue Removal (2023)
Journal Article
Güleç, F., Williams, O., Samson, A., Kostas, E., Stevens, L. A., & Lester, E. (2023). Exploring the Utilisation of Natural Biosorbents for Effective Methylene Blue Removal. Applied Sciences, 14(1), Article 81. https://doi.org/10.3390/app14010081

This paper presents a comprehensive analysis of the adsorbent capacity of five distinctly different biosorbents derived from untreated biomasses. The optimal adsorption capacity of seaweed (Laminaria digitata), horse chestnut husk, hazelnut husk, rap... Read More about Exploring the Utilisation of Natural Biosorbents for Effective Methylene Blue Removal.