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9 results for “low carbon technology”
UK Low Carbon Technology Database (UKLCTD)
<p><strong>UK Low Carbon Technology Database (UKLCTD)</strong></p> <p>Version used for revised paper submitted to Nature Energy: Sheridan Few, Predrag Djapic, Gpran Strbac, Jenny Nelson, Chiara Candelise, "A geographically disaggregated approach to integrate low-carbon technologies across local electricity networks"</p> <p><strong>Overview</strong></p> <p><br>This repository contains:</p> <p>(1) The United Kingdom Low Carbon Technology Database (UKLCTD), a collection of real geographically disaggregated data on current deployment of small scale photovoltaics (PV), heat pumps (HPs), electric vehicles (EVs), network inrastructure, domestic and nondomestic meter density, electricity demand, and rurality at an LSOA / Scottish Data Zone level. (UKLCTD.csv)</p> <p>(2) Scenarios for future deployment of PV, HPs, EVs, and battery storage upto 2050 at an LSOA level based upon current data, National Grid's Future Energy Scenarios (FES) and UKPN, NPG, and WPD's Distribution Future Energy Scenarios (DFES). (UKLCTD_Scenarios_DFES_base_[date].csv, 2050 file has PV deployment capped at two per meter)</p> <p>(3) Raw data from which each of the above are generated, and R scripts used to generate the above databases from raw data. Links to sources of raw data are included in scripts to facilitate upadates to this framework as new data becomes available. (UKLCTD.zip)</p> <p><br><strong>Usage</strong></p> <p>R scripts in the zip file have a short comment at the start describing their function. Before running, 'root_path' variable will need to be updated in each script to reflect the path these files are kept in on your local repository.</p> <p>The data may be explored using the following script:</p> <p>- Import_UKLCTD.R</p> <p>To generate the UKLCTD and scenarios from scratch, scripts are intended to be run in this order (names mostly self explanatory)</p> <p>- Generate_UKLCTD.R<br>- Add_substations_to_UKLCTD.R<br>- Add_Scottish_rurality_to_UKLCTD.R<br>- Generate_NG_scenarios.R<br>- Add_DFES_scenarios_w_plot.R<br>- Cap_Deployment.R</p> <p><br>Each of these scripts generates data used by subsequent scripts. These are broken down into stages and commented as far as possible.</p> <p><strong>Data Structure</strong></p> <p>Data: All raw data is in "Input_Data". This data can be updated as new information becomes available (input data files, sheets, and cells referred to in the above scripts will likely need to be updated accordingly). Data produced by these scripts in "Intermediate Data" and "Output Data" folders depending on whether it is used by subsequent scripts. Plots are generated in the "Plots" folder</p> <p><strong>Attribution</strong></p> <p>If this framework has been useful, please cite the following papers outlining our methodology:</p> <p>Few, S., Djapic, P., Strbac, G., Nelson J., Candelise C. A geographically disaggregated approach to integrate low-carbon technologies across local electricity networks. <em>Nat Energy</em> (2024). <a href="https://doi.org/10.1038/s41560-024-01542-6" target="_blank" rel="noopener">https://doi.org/10.1038/s41560-024-01542-6</a></p> <p>Few, S., Djapic, P., Strbac, G., Nelson J., Candelise C. Assessing Local Costs and Impacts of Distributed Solar PV Using High Resolution Data from across Great Britain. <em>Renewable Energy</em> 162 (2020) 1140–50. <a href="https://doi.org/10.1016/j.renene.2020.08.025" target="_blank" rel="noopener">https://doi.org/10.1016/j.renene.2020.08.025</a></p> <p> </p>
Great Britain (GB) Domestic Electricity Usage by Low Carbon Technology by Season
<p><strong>Important</strong>: As an research not-for-profit organisation, if you found this dataset useful we would appreciate your time in filling out <a href="https://docs.google.com/forms/d/e/1FAIpQLSfqCAoQt4AzuGH8Th5tJjnkGP956Fgc6O8T6wJaM7Nhd_nRdg/viewform?usp=pp_url&entry.1276408097=10.5281/zenodo.6576108">this short survey</a>.</p> <p> </p> <p>This dataset contains 3 aggregate datasets from the electricity smart meter data of over 25,000 customers in Great Britain (GB) from March 2021 - March 2022.</p> <p>For each consumer, we know (via a survey) what low carbon technologies (LCTs) they own. The potential LCT options are: Solar PV, Heat Pump (Air Source, or Ground Source), Electric Vehicle, Battery, Electric Storage Heaters.</p> <p>For simplicity, this dataset contains only customers with one type of LCT (with the exception of Solar PV, where we include Solar PV + Battery customers as is common in GB). We do not include customers with multiple LCTs (for example home battery + EV)</p> <p>We include quantiles of usage for each half hour (the "profile") for each type of LCT ownership "archetype", both overall (when season=None) and by season. As is common in the literature, we normalise by the square meterage of the house using open EPC data in GB (https://epc.opendatacommunities.org/) to get the watt hours per square meter. You can also find the raw, unnormalised, kwh values by quantile in this release. These two datasets have the quantiles for each half hour period. In addition, we release the daily quantiles of electricity consumption, in kwh per square meterage, by LCT type.</p> <p>In summary the data we are releasing, aggregated over 25,000 customers over 1 year of usage from March 2021 - March 2020 is:</p> <ul> <li>daily_elec_consumption_quantiles_by_lct_ownership.csv - The daily quantiles of usage [kWh/m2] by LCT</li> <li>lct_elec_consumption_profiles.csv - The half hourly quantiles of usage [Wh/m2] by LCT by season</li> <li>lct_elec_consumption_profiles_kwh.csv - The half hourly quantiles of usage [kWh] by LCT by season</li> </ul> <p>We believe this data will be useful for modelling efforts, as customers with different types of LCTs use energy at different times of the day, and by different amounts daily. By releasing this data openly, we hope forecasting scenarios for the future energy system are more accurate. We have a supporting blog post on our website at https://www.centrefornetzero.org/res/lessons-from-early-adopters-electricity-consumption-profiles/.</p>
Library of price and performance data of domestic and commercial technologies for low-carbon energy systems
<p>This library consists of extensive price and performance data of commercially available technologies for low-carbon energy systems on the UK market, including domestic and commercial applications. All information is obtained from published manufacturer datasheets and pricelists. The library contains useful information for energy-system and technology modellers in their efforts to capture the techno-economic characteristics of different technology options, minimise uncertainties and suggest reliable system- and technology-design strategies.</p> <p>The data analysis shows how technology characteristics vary with component choice, technology size and to capture the spread of values found between different suppliers, which can be used to determine uncertainty bounds on key performance indicators. Fitting techniques can be used to determine relationships arising from the collected data, infer values for which data are not available and quantify the related variability in technology characteristics.</p> <p>This work was conducted by members of the <a href="https://www.imperial.ac.uk/clean-energy-processes/">Clean Energy Processes (CEP) Laboratory</a> and is part of Project 2 of the <a href="https://www.imperial.ac.uk/energy-futures-lab/idles/">Integrated Development of Low-Carbon Energy Systems (IDLES)</a> project. IDLES brings together researchers across Imperial College London and partner organisations and companies to provide the evidence needed to facilitate a cost-effective and secure transition to a low-carbon future. The overarching aim of Project 2 is: (i) to characterise current and new/future technologies in terms of cost and performance to provide evidence for whole-energy system modelling; and (ii) to extend the capabilities of whole-energy-system models so that they can, apart from optimising energy network infrastructures, provide information to manufacturers about the optimal choice of materials, components and the design of key technologies.</p> <p>The library will be updated regularly as more data regarding existing and new technologies are collected.</p>
Scenario data for article: Environmental impacts of key metals' supply and low-carbon technologies are likely to decrease in the future
<p>This dataset contains the background scenarios for metal supply used for the publication <a href="https://doi.org/10.1111/jiec.13181">"Environmental impacts of key metals' supply and low-carbon technologies are likely to decrease in the future"</a> in the Journal of Industrial Ecology (2021).</p> <p><strong>Scenario description:</strong></p> <p>These background scenarios comprise five variables for the metals of copper, nickel, zinc, and lead for the time period of 2010-2050. These variables are:<br> V1: ore grade decline and energy requirements</p> <p>V2: market shares of primary production locations</p> <p>V3: energy efficiency improvements during smelting and refining</p> <p>V4: market shares of primary production routes</p> <p>V5: market shares of primary and secondary production.<br> <br> The associated <a href="http://doi.org/10.1111/jiec.13181">article</a> in the Journal of Industrial Ecology describes the modelling assumptions and data sources of the scenarios. It also conducts impact assessments for future metal supply and low-carbon technologies with these metal scenarios as well as additional electricity supply scenarios from the IAM of <a href="https://models.pbl.nl/image/index.php/Download#IMAGE_input_data_for_the_Prospective_Life_Cycle_Assessment_model">IMAGE</a> from <a href="https://doi.org/10.1111/jiec.12825">Mendoza Beltran et al. (2020)</a> in the background .</p> <p><strong>How to use this dataset:</strong></p> <p>The background scenarios are suitable for the life cycle inventory database of ecoinvent version 3.5 or 3.6 (allocation, cut-off by classification). They can be incorporated into ecoinvent either via the brightway-based module of <a href="https://github.com/PascalLesage/presamples">presamples</a> or using the <a href="https://github.com/LCA-ActivityBrowser">activity-browser</a> and its scenario-based calculation set-up. Thereby, they can be used as background scenarios for any other prospective LCA based on ecoinvent 3.5 or 3.6.</p> <p>Moreover, they can be combined with the electricity supply scenarios of the IAM of <a href="https://models.pbl.nl/image/index.php/Download#IMAGE_input_data_for_the_Prospective_Life_Cycle_Assessment_model">IMAGE</a> from <a href="https://doi.org/10.1111/jiec.12825">Mendoza Beltran et al. (2020)</a> using the <a href="https://github.com/LCA-ActivityBrowser/brightway-superstructure">superstructure approach</a> of the activity-browser (<a href="https://doi.org/10.1007/s11367-021-01974-2">de Koning & Steubing 2020</a>).</p> <p>Before using the dataset, please adjust the "database" columns to the name of your database, e.g. "ecoinvent3.5", and potentially also the "key" columns.</p> <p>Versions of the scenarios applicable to ecoinvent 3.7.1 or 3.8 may be added later.</p> <p><strong>License: </strong>The metal supply scenario data is licensed under the CC-BY 4.0 license.</p>
Consider Social Acceptability of Contentious Low-Carbon Energy Technologies
<p>SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality. <br>SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages – including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events.<br>This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future.<br>The documents uploaded here are part of WP2 whereby novel, interdisciplinary teams were provided funding to undertake activities to develop a policy recommendation related to EU Green Deal policy. Each of these policy recommendations, and the activities that inform them, will be written-up as a chapter in an edited book collection. Three books will make up this edited collection - one on climate, one on energy and one on mobility.</p> <p> <br>The present project proposes to conduct a research on social acceptability of three controversial technologies in France: nuclear fusion, agrivoltaics and offshore wind turbines. We review the literature and develop a framework for studying the dynamics of acceptability of these technologies over the entire 2013-2023 period. </p> <p>This file contains:</p> <ul> <li>Appendix 1 : This output uploaded is the literary corpus from the EUROPRESSE database used to carry out the sentimental analysis and the topics modelling</li> <li>Appendix 2 : The scraping results of the corpus from the EUROPRESSE database</li> <li>Appendix 3 : The topic modeling results of the corpus from the EUROPRESSE database</li> <li>Appendix 4 : The sentimental analysis results of the corpus from the EUROPRESSE database</li> <li>Appendix 5 : This file provides a comprehensive analysis of the factors shaping the social acceptability of low-carbon energy technologies in France</li> <li>Appendix 6 : This file sorted the 10 most positive and the 10 most negative articles associated with each low-carbon energy technology</li> </ul>
On the determinants of low-carbon innovations: Roles of technological diversification and international collaborations
<p>This data describes the role of technological diversification and international collaborations, and how they affect the intensity of low-carbon innovations. The dataset is made up of a global panel dataset consisting of patents and macroeconomic data for 90 countries, covering a period of 32 years. It also contains indices for technological diversifications and collaborations.</p>
Dispersing low carbon technologies through trade; Have trade agreements helped?
<p>This dataset was used in a research paper which examines the impact of trade agreements on low carbon technologies trade.</p>
Underlying data / Hydrothermal carbonization as an alternative sanitation technology: process optimization and development of low-cost reactor
<p>Experimental data of a research publication "Hydrothermal carbonization as an alternative sanitation technology: process optimization and development of low-cost reactor" is provided.</p> <p><strong>Background:</strong> The provision of safe sanitation services is essential for human well-being and environmental integrity, but it is often lacking in less developed communities with insufficient financial and technical resources. Hydrothermal carbonization (HTC) has been suggested as an alternative sanitation technology, producing value-added products from faecal waste. We evaluated the HTC technology for raw human waste treatment in terms of resource recovery. In addition, we constructed and tested a low-cost HTC reactor for its technical feasibility.</p> <p><strong>Methods: </strong>Raw human faeces were hydrothermally treated in a mild severity range (≤ 200 °C and ≤ 1 hr). The total energy recovery was analysed from the energy input, higher heating value (HHV) of hydrochar and biomethane potential of process water. The nutrient contents were recovered through struvite precipitation employing process water and acid leachate from hydrochar ash. A bench-scale low-cost reactor (BLR) was developed using widely available materials and tested for human faeces treatment.</p> <p><strong>Results: </strong>The hydrochar had HHVs (23.2 - 25.2 MJ / kg) comparable to bituminous coal. The calorific value of hydrochar accounted for more than 90 % of the total energy recovery. Around 78 % of phosphorus in feedstock was retained in hydrochar ash, while 15 % was in process water. 72 % of the initial phosphorus can be recovered as struvite when deficient Mg and NH<sub>4</sub> are supplemented. The experiments with BLR showed stable operation for faecal waste treatment with an energy efficiency comparable to a commercial reactor system.</p> <p><strong>Conclusions: </strong> This research presents a proof of concept for the hydrothermal treatment of faecal waste as an alternative sanitation technology, by providing a quantitative evaluation of the resource recovery of energy and nutrients. The experiments with the BLR demonstrate the technical feasibility of the low-cost reactor and support its further development on a larger scale to reach practical implementation</p> <p> </p>
"BUILDING THE FUTURE: ENERGY-EFFICIENT BUILDINGS AND LOW-CARBON TECHNOLOGIES"
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