Browsing by Author "Clough, Peter"
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Item Open Access Data supporting: 'A country-level assessment of the deployment potential of greenhouse gas removal technologies'(Cranfield University, 2022-11-23 16:04) Odianosen Asibor, Jude; Clough, Peter; ali Nabavi, Seyed; Manovic, VasilijeThe dataset contains the normalised input country-level data of the selected biogeophysical and techno-economic criteria. It also contains the obtained GGR deployment potential data applied in the globalmapping (Figure 3).Item Open Access Data: A Machine Learning Approach for Country-level Deployment of Greenhouse Gas Removal Technologies(Cranfield University, 2023-10-17 16:41) Odianosen Asibor, Jude; Clough, Peter; ali Nabavi, Seyed; Manovic, VasilijeThis dataset consists of the applied normalised input data for the selected bio-geophysical and technoeconomic variables of each of the 182 countries assessed in the study. These input variables include the mean quarterly temperature (Q1T, Q2T, Q3T, Q4T), the mean quarterly precipitation (Q1P, Q2P, Q3P, Q4P), water availability (WA), forestation land use (FLu). agricultural land use (AgLU), low carbon energy availability (LCEA), Geological storage potential (GSP), Biomass availability and Gross national income per capita (GNI). Details on data sources, preprocessing and normalisation methodology are presented in Sections 2.2 and 2.3 of the paper as well as in the Supplementary Information document. The dataset also includes the suitability category results that was obtained for each country for the five GGR methods assessed in the study. This is also the data that was used for plotting the global maps in Figure 4.Item Open Access Dataset for Applying machine learning algorithms in estimating the performance of heterogeneous, multi-component materials as oxygen carriers for chemical-looping processes(Cranfield University, 2020-02-05 16:24) Yan, Yongliang; Clough, Peter; Anthony, BenThe training data for 19 manganese ores as potential oxygen carriers in the chemical-looping process from a fluidised-bed reactor. This database has been used to train several supervised artificial neural network models (ANN), which were used to predict the reactivity of the oxygen carriers with different fuels and the oxygen transfer capacity with only the knowledge of reactor bed temperature, elemental composition, and mechanical properties of the manganese ores. This novel approach explores ways of dealing with the training dataset, learning algorithms and topology of the ANN models to achieve enhanced prediction precision.Item Open Access Dataset of Investigation of air and oxy-fuel biomass combustion kinetics in a spout fluidised-bed reactor(Cranfield University, 2018-12-19 13:41) Yan Yan, Harry; Clough, Peter; Anthony, BenDataset of Investigation of air and oxy-fuel biomass combustion kinetics in a spout fluidised-bed reactor.Item Open Access Dataset: A Machine Learning Approach for Resource Mapping Analysis of Greenhouse Gas Removal Technologies(2023-07-20) Odianosen Asibor, Jude; Clough, Peter; ali Nabavi, Seyed; Manovic, VasilijeDataset posted on 2023-07-20, 16:33 authored by Jude Odianosen Asibor, Peter Clough, Seyed ali Nabavi, Vasilije Manovic It contains the normalised dataset and codes used for the titled study.