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Lucio Pinello, Massimo Fossati, Marco Giglio, Francesco Cadini, Carla Bevilacqua, Mario Cilento, Fulvio Bassetti and Raffaello Magaldi
Concentrated Solar Power (CSP) plants use mirrors to reflect and concentrate sunlight onto a receiver, to heat a fluid and store thermal energy, at high temperature and energy density, to produce dispatchable heat and/or electricity. The secondary mirror...
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Janne Huotari, Teemu Manderbacka, Antti Ritari and Kari Tammi
We present a novel convex optimisation model for ship speed profile optimisation under varying environmental conditions, with a fixed schedule for the journey. To demonstrate the efficacy of the proposed method, a combined speed profile optimisation mode...
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Lindokuhle J. Mpanza and Jimoh Olarewaju Pedro
This paper presents the parameter optimisation of the flight control system of a singlerotor medium-scale rotorcraft. The six degrees-of-freedom (DOF) nonlinear mathematical model of the rotorcraft is developed. This model is then used to develop proport...
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Wei Jiang, Weicheng Xie and Shuai Sun
As the key mechanism of attitude control of micro/nano-satellites, the flywheel design is mostly based on empirical formulae that do not meet the requirements of lightweight and high-performance micro/nano-satellite platforms. In this paper, the structur...
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JingZhi Tay, Frederick Peter Ortner, Thomas Wortmann and Elif Esra Aydin
The densification of urban spaces globally has contributed to a need for design tools supporting the planning of more sustainable, efficient, and liveable cities. Urban Design Optimisation (UDO) responds to this challenge by providing a means to explore ...
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Simão Marques, Lucas Kob, Trevor T. Robinson and Weigang Yao
This work presents a strategy to build reduced-order models suitable for aerodynamic shape optimisation, resulting in a multifidelity optimisation framework. A reduced-order model (ROM) based on a discrete empirical interpolation (DEIM) method is employe...
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Fakhar Uddin, Naveed Riaz, Abdul Manan, Imran Mahmood, Oh-Young Song, Arif Jamal Malik and Aaqif Afzaal Abbasi
The travelling salesman problem (TSP) is perhaps the most researched problem in the field of Computer Science and Operations. It is a known NP-hard problem and has significant practical applications in a variety of areas, such as logistics, planning, and...
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Qiang Zheng, Bai-Wei Feng, Zu-Yuan Liu and Hai-Chao Chang
The particle swarm optimisation (PSO) algorithm has been widely used in hull form optimisation owing to its feasibility and fast convergence. However, similar to other intelligent algorithms, PSO also has the disadvantages of local premature convergence ...
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Pawel L. Manikowski, David J. Walker and Matthew J. Craven
Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve the maximum power output and minimum wind farm cost. This may be accomplished by applying single or mult...
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Pawel Oclon, Maciej Lawrynczuk and Marek Czamara
The objectives of this work are: (a) to present a new system for building heating which is based on underground energy storage, (b) to develop a mathematical model of the system, and (c) to optimise the energy performance of the system. The system includ...
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Jonathan Mwaura, Andries P. Engelbrecht and Filipe V. Nepomuceno
Multimodal problems are single objective optimisation problems with multiple local and global optima. The objective of multimodal optimisation is to locate all or most of the optima. Niching algorithms are the techniques utilised to locate these optima. ...
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Xiaoming Zhang, Tinghao Feng, Qingsong Niu and Xijin Deng
Many swarm intelligence optimisation algorithms have been inspired by the collective behaviour of natural and artificial, decentralised, self-organised systems. Swarm intelligence optimisation algorithms have unique advantages in solving certain complex ...
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Xiaoming Zhang, Tinghao Feng, Qingsong Niu and Xijin Deng
Many swarm intelligence optimisation algorithms have been inspired by the collective behaviour of natural and artificial, decentralised, self-organised systems. Swarm intelligence optimisation algorithms have unique advantages in solving certain complex ...
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Gilberto Reynoso-Meza, Victor Henrique Alves Ribeiro and Elizabeth Pauline Carreño-Alvarado
Dealing with real world engineering problems, often comes with facing multiple and conflicting objectives and requirements. Water distributions systems (WDS) are not exempt from this: while cost and hydraulic performance are usually conflicting objective...
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Jarl Beckers, Diederik Coppitters, Ward De Paepe, Francesco Contino, Joeri Van Mierlo and Björn Verrelst
Improved management and impermeability of refrigerants is a leading solution to reverse global warming. Therefore, crank-driven reciprocating refrigerator compressors are gradually replaced by more efficient, oil-free and hermetic linear compressors. How...
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Shafie Kamaruddin, Mohd Arif Hafizi Abd Latif
Pág. 27 - 32
Optimisation is a technique or procedure to find the optimal or feasible solution whether it is to minimise or maximise by comparing other possible solutions until the best solution is found. Nowadays, many optimisation algorithms have been introduced du...
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Florian Vesting, Rickard E. Bensow, Rikard Johansson, Robert Gustafsson and Nicole Costa
The use of automated optimisation in engineering applications is emerging. In particular, nature inspired algorithms are frequently used because of their variability and robust application in constraints and multi-objective optimisation problems. The pur...
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Oliver Gregor Gorbach and Jessica Thomsen
For an organisation, one aspect on the path to a decarbonised future is the cost-optimal decarbonisation of their facilities? energy systems. One method to guide the decarbonisation is internal carbon pricing. However, the design process of decarbonisati...
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Tanvir Ahmad, Abdul Basit, Juveria Anwar, Olivier Coupiac, Behzad Kazemtabrizi and Peter C. Matthews
A practical wind farm controller for production maximisation based on coordinated control is presented. The farm controller emphasises computational efficiency without compromising accuracy. The controller combines particle swarm optimisation (PSO) with ...
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Munashe Ignatius Chibinyani,Thywill Dzogbewu,Maina Maringa,Amos Muiruri
Pág. 299 - 317
Combined numerical modelling and topology optimisation methods are useful in the design and analysis of engineering structures. The two tools are used to predict and optimise the mechanical properties of structures. Numerical modelling and optimisation o...
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