Energy and Sustainability
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Item Open Access A Physics-Based Modelling and Control of Greenhouse System Air Temperature Aided by IoT Technology(Cranfield University, 2023-03-14 09:53) Ayoola Faniyi, Beatrice; Luo, Jerry25th May, 2022 data set. The data contain the Solar irradiance, windspeed and outdoor temperatureItem Open Access 'Wadi et al. adsorption data set - Effect of combined primary and secondary amine loadings on the adsorption mechanism of CO2 and CH4 in biogas'(Cranfield University, 2021-05-25 09:17) Wadi, Basil; ali Nabavi, Seyed; Golmakani, Ayub; Manovic, VasilijeData set for amine functinalised SBA-15 with primary, diamine and triamine reagents. The attached data includes volumetric gas adsorption and TGA adsorption results for CO2 and CH4, and associated with the publication listed above.Item Open Access 'Perceived Adoption Potential for Hydrogen Homes: October-December 2022 Dataset(Cranfield University, 2024-05-01 12:35) Gordon, Joel; Ozkan, Nazmiye; ali Nabavi, SeyedThe Excel file presents data collected between 06/10/2023 and 23/12/2023 from a nationally representative UK survey engaging with public perceptions of hydrogen homes - appliances for residential space heating, hot water and cooking. The first excel sheet provides data for the full sample (N = 1845). The second sheet provides data for sub-sample (N = 442) that was extracted to support multi-group analysis. The third sheet provides data for a derived segment of female mortage owners aged 18-34 (N = 282), while the fourth sheet reports data for a smaller segment of male property owners aged 55+. Additional sheets provide the numerical inputs for conducting statistical analyses using Latent Variable Scores, as extracted via Importance-performance map analysis (IMPA) in SmartPLS 4.1 The output from this dataset was used to examine the effects of safety, technological, economic, environmental and emotional perspectives on the perceived adoption potential of hydrogen homes.Item Open Access Results and data for for the selection of optimum offshore wind farm locations for deployment(Cranfield University, 2018-07-18 11:11) Mytilinou, Vera; Lozano-Minguez, Estivaliz; Kolios, AthanasiosResults and data acquired in the paper "A framework for the selection of optimum offshore wind farm locations for deployment"Item Open Access Industry survey response of criteria weights for lifting technologies in the offshore wind energy environment.(Cranfield University, 2018-06-12 13:10) Richmond, Mark; Balaam, Toby; douglas Causon, Paul; Cevasco, Debora; Leimeister, MareikeIndustry response data to the survey conducted for the journal article titled 'Multi-Criteria Decision Analysis for Benchmarking Human-Free Lifting Solutions in the Offshore Wind Energy Environment'Item Open Access Results for Techno-economic optimisation of offshore wind farms based on life cycle cost analysis in the UK(Cranfield University, 2018-08-07 12:02) Mytilinou, Vera; Kolios, AthanasiosResults and data acquired in the paper "Techno-economic optimisation of offshore wind farms based on life cycle cost analysis in the UK", which represent the optimal trade-offs by using NSGA IIItem Open Access Input dataset used for the ML prediction of C, H, O, and S adsorption energies(Cranfield University, 2023-11-06 17:09) Wang Wang, SiqiThe database used for the ML model training consists of DFT-calculated adsorption energies of C, H, O, and S on 23 monometallic and 12 bimetallic surfaces. Each pure metal is represented by a set of 12 features, including fundamental properties (e.g. group, atomic number, covalent radius, etc) and surface-related properties (e.g. surface free energy, work function, etc). Each alloy (M1xM2y) is represented by the features of its individual components (12 features of M1 plus 12 features of M2) and the ratio of x:y to account for the concentration of each component within the binary system. For monometallic inputs, the ratio was considered as 1. The adsorbates (C, H, O, and S) are represented by a set of 9 properties, including group, atomic number, first ionization potential, etc.Item Open Access Hydrogen Homes Dataset 2022(Cranfield University, 2023-11-08 09:38) Gordon, Joel; Ozkan, Nazmiye; ali Nabavi, SeyedThese files present data gathered on public perceptions of hydrogen homes (i.e. appliances for heating and cooking purposes) in the United Kingdom, following a broadly nationally representative survey (N = 1845) conducted between 06/10/2023 and 23/12/2023. All survey responses were measured using either a five-point or eleven-point Likert scale. The survey questions are provided alongside the recorded responses.Item Open Access Predicted C, O, H, and S adsorption energies on bimetallic surfaces (with a M1:M2 ratio of 3)(Cranfield University, 2023-11-02 10:27) Wang Wang, SiqiThe best-performing ML model was then applied to a list of bimetallic alloys, the adsorption energies of which were not readily available. A total of 24 metal elements were considered and permuted with one another, which generated a set of over 500 bimetallic alloys. One of the input features used for the ML model is the ratio of the two individual components within the binary system. By changing the numerical value of the “ratio” feature, the ML model is able to deal with a given binary alloy with any M1 or M2 concentration. In this work, we focused on bimetallic materials with a M1:M2 ratio of 3 (i.e. 75 mol.% of M1 and 25 mol.% of M2).Item Open Access REGENERATIS: Summary of metal extraction (mg/kg) for DES and CA used on blast oxide slags dust and goethite (batch testing).(Cranfield University, 2023-07-31 09:21) Huntington, Victoria; Coulon, Frederic; Wagland, StuartSummary of metal extraction (mg/kg) for deep eutectic solvents (DES) and chelating agents (CA) used on blast oxide slags dust and goethite. Dataset summarises metal group extraction from each sample using a range of ratios and pH conditions.Item Open Access Pilot testing of enhanced sorbents for calcium looping with cement production(Cranfield University, 2018-06-12 12:59) Erans moreno, María; Jeremias, Michal; lyzheng@alum.imr.ac.cn; G. Yao, Joseph; Blamey, John; Manovic, Vasilije; S. Fennell, Paul; Anthony, BenRaw data from pilot plant experiments depicted in "Pilot testing of enhanced sorbents for calcium looping with cement production"Item Open Access Qualitative responses to Hydrogen Homes (H2H) Online Survey 2022.docx(Cranfield University, 2024-01-16 15:07) Gordon, Joel; Ozkan, Nazmiye; ali Nabavi, SeyedThis file records responses given by online survey participants in the UK (N = 1845) to a questionnaire on the domestic hydrogen transition, which was programmed using Qualtrics. The data collection period lasted between 06/10/2023 and 23/12/2023, supported by a professional market research company (Savanta). The survey duration was approximately 15 to 20 minutes. Domestic hydrogen refers to hydrogen-fuelled appliances for heating and cooking, collectively referred to as hydrogen homes. All survey responses were measured using either a five-point or eleven-point Likert scale.At the end of the survey, participants were requested to respond to the following open-ended question which concluded the survey: Please use this text box to explain more about your attitudes towards hydrogen or any other reflections on this topic.Around two-thirds of respondents (N = 1213) provided a valid response. The sample was composed of four specific consumer sub-groups, which returned a relatively balanced response rate (M = 66.3%; SD = 3.0). In published materials, we use the term Hydrogen Homes (H2H) dataset to denote outputs from this project.Item Open Access Hydrogen Homes Dataset for H2 Acceptance Matrix analysis(Cranfield University, 2024-02-27 16:05) Gordon, Joel; Ozkan, Nazmiye; ali Nabavi, SeyedThis dataset records qualitative answers (written statements) given by respondents at the end of an online survey (programmed in Qualtrics) on domestic hydrogen in the United Kingdom (N= 1845). The open-ended question was specified as follows: lease use this text box to explain more about your attitudes towards hydrogen or any other reflections on this topic. Around two-thirds (N = 1213) provided written responses, which were subsequently coded according to one-dimensional (hydrogen pessimist, hydrogen sceptic, hydrogen cautious, hydrogen neutral, hydrogen curious, hydrogen hopeful, or hydrogen optimist) and multi-dimensional responses (e.g. hydrogen hopeful yet cautious, or hydrogen cautious but otherwise neutral etc.) 81.8% of respondents expressed a one-dimensional perspective (N = 992). The data collection period ran between 06/10/2023–23/12/2023. The survey duration was approximately 15–20 minutes. In published materials, we use the term Hydrogen Homes (H2H) dataset to denote outputs from this project.Item Open Access 'Data sheet of nanocomposites with F/N-doped ZnO'(Cranfield University, 2024-02-20 13:07) Chen, Shuyang; Skordos, Alex; Kumar Thakur, VijayThe dataset for this research comprises the measurement results for pristine PVDF and PVDF-ZnO nanocomposites with and without fluorine/nitrogen doping. For TGA, DSC and XRD results each file contains the relevant data per experimental technique. Within each file worksheets correspond to the different materials. The column headers specify the variables and their associated units. For dielectric tests, the data is organised in separate files for permittivity, loss and imaginary modulus. The data are organised in worksheets by material in 2D arrays. The rows correspond to spectra at different measured temperatures and the columns to fixed frequency data. The materials nomenclature is as follows: -PVDF: pure PVDF -PVDF+5% ZnO: PVDF with 5% ZnO by weight -PVDF+10% ZnO: PVDF with 10% ZnO by weight -PVDF+15% ZnO: PVDF with 15% ZnO by weight -PVDF+5% F-ZnO: PVDF with 5% Fluorine doped (10% molar fraction) ZnO by weight -PVDF+10% F-ZnO: PVDF with 10% Fluorine doped (10% molar fraction) ZnO by weight -PVDF+15% F-ZnO: PVDF with 15% Fluorine doped (10% molar fraction) ZnO by weight -PVDF+5% N-ZnO: PVDF with 5% Nitrogen doped (10% molar fraction) ZnO by weight-PVDF+10% N-ZnO: PVDF with 10% Nitrogen doped (10% molar fraction) ZnO by weight -PVDF+15% N-ZnO: PVDF with 15% Nitrogen doped (10% molar fraction) ZnO by weightItem Open Access Data: Using a monolithic nickel-based catalyst under steam methane reforming(Cranfield University, 2023-12-12 15:04) Shen, ZiqiThis dataset is the experimental data collected from a fixed bed reactor using monolithic catalysts. The reaction related is steam methane reforming (SMR) and tests were performed under different operating temperture, different nickel loading and different gas hourly space velosity (GHSV).Item Open Access Metal(loid)s concentration with humic acid in <1 and >10 year old landfills(Cranfield University, 2023-03-21 08:43) Wagland, Stuart; Lee, Hyeyeon; Coulon, FredericMetal(loid)s mobilised from landfill samples at differing pH and humic acid concentrations. The datasets provide metal(loid) concentrations for samples 10 years old.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.Item Open Access Data supporting: 'Comparative analysis of ammonia combustion for domestic applications'(Cranfield University, 2022-10-28 15:38) Bazooyar, Bahamin; Manovic, Vasilije; ali Nabavi, SeyedThe research of ammonia combustion in Gas Turbines and BoilersItem Open Access Domestic hydrogen acceptance in the UK: Public perceptions of energy and environmental issues(Cranfield University, 2022-10-31 14:45) Gordon, Joel; Ozkan, Nazmiye; ali Nabavi, SeyedThis file provides evidence on public perceptions of energy and environmental issues in the United Kingdom. Online focus groups were conducted (February - April 2022) to examine consumer attitudes towards domestic hydrogen technologies for home use (heating and cooking appliances). At the start of each focus groups, participants were asked to give their views about climate change and the environment, and to describe their current level of engagement with pro-environmental behaviours including energy consumption habits. A total of 38 individual responses were recorded (n=58).Item Open Access Poster Presentations for UK Conference events 2022: Hydrogen homes and social acceptance in the United Kingdom(Cranfield University, 2022-10-28 16:42) Gordon, Joel; Ozkan, Nazmiye; ali Nabavi, SeyedThese contributions represent findings from a series of online focus groups conducted with members of the UK public (n=58) between February and April, 2022. The study set out to better understand consumer attitudes towards the proposition of converting the national gas grid to enable a domestic hydrogen future; composed of hydrogen home appliances for space heating, hot water, and cooking. The posters show that that future heating systems should ensure thermal comfort, ease of use, energy efficiency, and smart performance, while providing space savings and noise reduction, alongside demonstrable environmental benefits. For cooking systems, consumers wish to preserve the best features of gas, such as speed, responsiveness, and controllability, but also desire the potential safety and aesthetic benefits of electric systems, principally induction hobs. For the most part, hydrogen heating and cooking appear welcome prospects for natural gas users, with no discernible preference for hobs over boilers, or vice-versa. Notwithstanding, careful attention is needed to understand the interplay between static and dynamic factors, such as personal values and beliefs, and changes in culture and energy markets. Furthermore, hydrogen policy should align to ensuring greater transparency concerning the benefits, costs, and risks of the transition. This involves clearer explanation regarding the justification and implications of hydrogen production pathways and emerging hydrogen geographies. The analysis concludes that consumer heterogeneity must be internalized into policymaking to enact socially acceptable transition pathways for the UK housing stock.