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7 results for “techno-economic model”
Open and Lite Techno-economic Dataset for Long-term Energy Systems Modelling in the Republic of South Africa
<p>An open-source lite techno-economic dataset for long term energy systems modelling in the Republic of South Africa. Includes data on electricity generation and demand, electricity imports and exports, power transmission and distribution, residual capacity, capacity factor, operational lifetime, and fixed, variable and capital costs of electricity generation technologies. It also contains estimates for renewable potential and fossil fuel reserves in South Africa.</p>
Integrated experimental and techno-economic modeling of renewable natural gas production from prairie biomass
This study coupled experimental and techno-economic modeling to evaluate the economic prospects of utilizing prairie biomass as a feedstock for anaerobic digestion. Anaerobic digestion experiments were performed using 15 lab-scale bioreactors under semi-continuous operation, designed based off a box-Behnken design with three factors. Response variables included biogas and biomethane yields, in addition to numerous digestate physico-chemical characteristics. Statistical models were developed from the experimental data to predict these responses and were subsequently incorporated into a techno-economic model developed in Python using BioSTEAM. In addition to optimizing key anaerobic digestion parameters, four scenarios were evaluated investigating liquid digestate recirculation, as well as methane recovery from the liquid digestate in a two-stage anaerobic digestion process.
Techno-economic dataset for open modelling of decarbonization pathways in The Philippines
<p><span>This</span><span> file contains the data and data sources updated for the paper :</span></p> <p> </p> <p><span>'</span><span>The Philippines’ Energy Transition: Assessing Emerging Technology Options using OSeMOSYS (Open Source Energy Modelling System)'</span></p> <p><span>All other data in the model used for the paper is from the Philippines Starter Data kit (Allington, 2021). Renewable Energy Costs are updated from (Alexander, 2023).</span></p> <p> </p>
Socio- and Techno-Economic Dataset for Energy Modelling in Sierra Leone
<p>This repositary contains a Reference Energy Syatem (RES) and dataset containing the raw data used in the Sierra Leone energy models created by CCG and the Ministry of Energy in Sierra Leone including scenario-specific constraints used in the modelling. The models used were MAED and OSeMOSYS. Full information regarding data sources and assumptions used can be found in the corresponding Data in Brief.</p> <p>This work was supported by the Climate Compatible Growth Programme (#CCG) of the UK's Foreign Development and Commonwealth Office (FCDO). The views expressed in this paper do not necessarily reflect the UK government's official policies.</p>
Techno-economic dataset for long-term energy systems modelling in Viet Nam
<p>Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam. This includes data on electricity generation and consumption, electricity imports and exports, fuel prices, emissions, refineries, power transmission and distribution, electricity generation technologies, and renewable energy potential and reserves for the years 2015 to 2050.</p>
Techno-economic model of Methane pyrolysis in liquid metal bubble column reactor for hydrogen direct reduction of iron ore
<p>Reducing emissions from the iron and steel industry is essential to achieve the Paris climate goals.A new system to reduce the carbon footprint of steel production is proposed in this article by coupling hydrogen direct reduction of iron ore (H-DRI) and natural gas pyrolysis on the liquid metal surface inside a bubble column reactor. If grid electricity from the EU is used, the emissions would be 435 kgCO\textsubscript{2}/tls without considering methane leakage from the extraction, storage, and transport of natural gas. Solid carbon, produced as a by-product of natural gas decomposition, finds applications in many industrial sectors, including as a replacement for coal in coke ovens. The specific energy consumption (SEC) of the proposed system is approximately 6.3 MWh per ton of liquid steel(tls).It is higher than other competing technologies,3.48 MWh/tls for water electrolysis based DRI, and 4.3-4.5 MWh/tls for natural gas-based DRI and blast furnace-basic oxygen furnace (BF-BOF) respectively. The utilization of large quantities of natural gas, where the carbon remains unused, is the major reason for the high SEC. Preliminary analysis of the system revealed that it has the potential to compete with existing technologies to produce CO\textsubscript{2}free steel, if renewable electricity is used. Further studies on the kinetics of the bubble column reactor, H-DRI shaft furnace, design, and sizing of components, along with the building of industrial prototypes are required to improve the understanding of the system performance.</p>
Deliverable 3.5: Report on techno-economic modelling
<p>Data for reproducing the results presented in Deliverable 3.5 "Report on techno-economic modelling" belonging to the CompBat EU project, DOI:<a href="https://doi.org/10.3030/875565">10.3030/875565</a></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.