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HOPV15). It was found that the neural-based models generally performed better on the computational dataset with the Attentive FP model reaching a state of the art performance with the test

Ning Xiao. Full List of Preprints co-authored by Ning Xiao. 119:Tom Harris, Tim Helme,and Markus Kraft, Technical Report 119, c4e-Preprint Series, Cambridge, 2012. 2024 Computational Modelling Group. Department of Chemical Engineering and

Min Loon Yong. Full List of Preprints co-authored by Min Loon Yong. 119:Tom Harris, Tim Helme,and Markus Kraft, Technical Report 119, c4e-Preprint Series, Cambridge, 2012. 2024 Computational Modelling Group. Department of Chemical Engineering and

Benjamin Taylor. Full List of Preprints co-authored by Benjamin Taylor. 126:and Markus Kraft, Technical Report 126, c4e-Preprint Series, Cambridge, 2013. 119:Tom Harris, Tim Helme,and Markus Kraft, Technical Report 119, c4e-Preprint Series, Cambridge

Amit Bhave. Full List of Preprints co-authored by Amit Bhave. 287: The Conundrum in Smart City Governance: Interoperability and Compatibility in an ever-growing digital ecosystem. Hou Yee Quek, Franziska Sielker,Aurel von Richthofen, Pieter Herthogs,

We suggest that considering the technological dimension as a new addition to the trifecta of economic, environmental and social sustainability goals that guide planning processes, can help governments to address this

Amit Bhave. Full List of Publications co-authored by Amit Bhave. Number of publications listed in category: 34. International Collaboration: Mainstreaming Artificial Intelligence and Cyberphysical Systems for Carbon Neutrality. Thorsten Jelinek,

The concept of Industry 4.0 translation to an EIP is introduced, which delivers an expert system allowing users to monitor, control, and optimise the social, economic and environmental repercussions of

Abstract. This work presents an economic feasibility study of using algae and biochar burial strategies to offset carbon emission from the use of conventional fossil-derived transport fuels. ... The economic feasibility is quantified on the basis that

Abstract. Flame aerosol synthesis (FAS) has been in industrial use for mass production of nanoparticle commodities, and in recent years has been developed into a tool for economic synthesis of novel

The results indicate that the proposed approach can achieve significant economic benefits.

While decarbonisation is non-negotiable if climate breakdown is to be halted, it must be balanced with ensuring economic stability and a smooth transition to sustainable energy.

Recommendations for techno-economic and storage modelling. Abstract. The expansion of variable renewable energy (VRE) generation propagates numerous challenges for national energy systems.

Abstract. Soot particles formed in a system of non-premixed liquid fuel flames supported on a wick-fed, smoke point test burner (ASTM D1322-08) were characterised by in-situ visible

energy networks) at the top EIP level with the boundary conditions of economic, social and legal requirements.

Ning Xiao. Full List of Publications co-authored by Ning Xiao. Number of publications listed in category: 1. 2013. Tom Harris, Tim Helme,and Markus Kraft, Applied Energy 106, 262-274, (2013). 2024 Computational Modelling Group. Department of

The World Avatar project has been selected for the World Economic Forum (WEF)’s list of Global Use Cases as part of its Global Digital Twin Cities initiative.

Min Loon Yong. Full List of Publications co-authored by Min Loon Yong. Number of publications listed in category: 1. 2013. Tom Harris, Tim Helme,and Markus Kraft, Applied Energy 106, 262-274, (2013). 2024 Computational Modelling Group. Department of

We comprehensively evaluated, repaired and refined an existing CityGML ontology to produce an improved version that could pass the necessary tests and complete unit test development.

The orchestration of these novel technologies, so-called cyber-physical systems (CPS), provides further, synergetic effects that increase efficiency of energy provision and industrial production, thereby optimising economic feasibility and

Reference: Computers & Chemical Engineering 108, 276-288, (2018). Highlights. Extensive numerical evaluation of smart sampling algorithm (SSA) is performed using a diverse test bed of analytical functions. ... 2017a) for constructing multidimensional

Full-coupling to the gas-phase is achieved through operator-splitting. The convergence of the stochastic particle algorithm in test networks is evaluated as a function of network size, recycle fraction ... These test cases are used to identify methods

Pooya Azadi. Full List of Publications co-authored by Pooya Azadi. Number of publications listed in category: 5. 2015. Immanuel Kemp, Sebastian Mosbach, John S. Dennis, and Markus Kraft, ChemCatChem (CCtC) 7(1), 137-143, (2015). and Markus Kraft,

Janusz Sikorski. Full List of Preprints co-authored by Janusz Sikorski. 203:Mei Qi Lim, Sushant S. Garud, Johannes Neukäufer, and Markus Kraft, Technical Report 203, c4e-Preprint Series, Cambridge, 2018. 184: Machine learning approach for

Tests show that solid particles of 10 nm and larger can be reliably counted. ... The new technology was validated in chassis dyno tests and on the real road.

Neal Morgan. Full List of Preprints co-authored by Neal Morgan. 259:Alastair Smith,and Markus Kraft, Technical Report 259, c4e-Preprint Series, Cambridge, 2020. 228:Alastair Smith,and Markus Kraft, Technical Report 228, c4e-Preprint Series, Cambridge

Convergence behaviour investigated for a batch reactor test case. Experimental hot-wall reactor simulated. ... A numerical study is performed by simulating a simple batch reactor test case to investigate the convergence behaviour of key functionals with

Method is applied to test cases from organic and inorganic chemistry, including transition metal complexes. ... The application of the framework is demonstrated for test cases from organic and inorganic chemistry, including transition metal complexes.

Reference: Energy & Environmental Science 16, 4020-4040, (2023). Highlights. Techno economic modelling of wind farm co-located ESS attachments. ... Emissions reductions and economic impacts determined via imbalance market data. Developed supporting

Janusz Sikorski. Full List of Publications co-authored by Janusz Sikorski. Number of publications listed in category: 9. 2019. Mei Qi Lim, Sushant S. Garud, Johannes Neukäufer, and Markus Kraft, Industrial & Engineering Chemistry Research 58(8),

Numerical investigation of the performance of the two algorithms is carried out by applying them both to a test case, for which an analytical solution is calculated. ... The new algorithm, MFA, exhibits significant variance reduction and therefore

Our technique outperforms uniform, random, and Sobol sampling on 1-variable test problems. ... Our extensive numerical evaluations using 1-variable test problems suggest that our SSA performs the best, when its initial sample points are generated using

Model validation conducted using a hierarchy of test geometries; the most sophisticated being a generic spray drying tower (pictured left).

overall economics on the entity. ... This study is part of a holistic endeavor that applies cyber-physical systems to optimize eco-industrial parks so that energy use and emissions are minimized while economic output is maximized.

Building on this opportunity, we suggest that considering the technological dimension as a new addition to the trifecta of economic, environmental, and social sustainability goals that guide planning processes, can aid

Optimal renewable subsidy can effectively promote renewable acceptance. An economic two-phase pathway is recommended for city-level decarbonization. ... Hence, we recommend an economic two-phase decarbonization pathway, namely first increasing renewable

George Brownbridge. Full List of Publications co-authored by George Brownbridge. Number of publications listed in category: 21. 2024. Michael Hillman, Mehal Agarwal, Srishti Ganguly, Jethro Akroyd, and Markus Kraft, Data-Centric Engineering 5, 14,

graph. We employ ontologies to capture data and material flows in design-make-test-analyse cycles, utilising autonomous agents as executable knowledge components to carry out the experimentation workflow.

This paper also contains the results of a test simulation which examines the stochastic algorithm under various simple starting conditions and determines its convergence properties.

Exercises. The courses on Process Dynamics & Control and Reactors are accompanied by exercises that are extended activities, undertaken individually, designed to test the students' knowledge of ideas covered in lectures.

A second, new model is introduced, in which all growth is concentrated on the formation of a frustum between the two primary particles and used to test the importance of the

A stochastic massflow algorithm was used to solve the model. A test simulation was implemented to examine the stochastic algorithm under various simple starting conditions.

Abstract. In this paper we derive and test an extended mass-flow type stochastic particle algorithm for simulating the growth of nanoparticles that are formed in flames and reactors.

The performance of MPM is tested for 13 different test cases for different fragmentation kernels, fragment distribution functions and initial conditions.

the minimum interaction energy) between two colliding particles. To test the performance of this new coagulation efficiency model, we applied it in detailed population balance modelling of soot particle size distributions

The methodology is evaluated by applying it to a test case: the synthesis of titanium dioxide from titanium tetraisopropoxide (TTIP) precursor.

The effects of fuel reactivity and intake air heating on the HCCI ranges are demonstrated by constructing the operating envelopes for the different test fuels and intake temperatures.

The performance of the combined algorithm/model is assessed using three distinct granular test cases.

Uniaxial tensile test simulations were carried out on the systems and the yield stress of each sample was calculated.

It was found that the neural-based models generally performed better on the computational dataset with the attentive FP model reaching a state-of-the-art performance with the test set