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8 results for “Techno-economic analysis”

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edi52/100

Data for: Techno-economic analysis of a novel laccase production process utilizing perennial biomass and the aqueous phase of bio-oil, Iowa, USA 2023-2025

This dataset contains the experimental design, measurements, and derived variables used to parameterize a techno‑economic model of laccase production via two‑stage solid‑state fermentation of prairie biomass with bio‑oil aqueous phase induction. It includes nutrient screening data for Pleurotus ostreatus growth on prairie biomass with alternative nitrogen sources and a corn‑steep solids dose series; factorial/response‑surface experiments varying substrate bed depth, substrate‑to‑inoculum (S:I) ratio, and pre‑induction growth time; and time‑resolved induction measurements. For each run and replicate, the data record the full set of spectrophotometric absorbances at 0–210 s, fitted slopes and r-square values, dilution and volume factors, and laccase activities normalized per mL and per gram of biomass, alongside the exact culture timings and environmental conditions used in the ABTS assay at 420 nm. Results tables provide the fitted central‑composite design model terms (coefficients, F‑statistics, and p‑values) used directly as inputs to the minimum laccase selling price (MLSP) calculations, together with the underlying per‑condition raw results.

openCC (other)Sep 2025View details →
zenodo44/100

Techno-economic sustainability analysis methodology for conversion routes of renewable feedstock resources to bio-based products – case studies

<p>The dataset provides a set of sustainability principles, criteria and indicators for the evaluation of the conversion routes stage of a bio-based product. &nbsp;The selected case studies on the employment of alternative feedstocks and production of the bio-based products are implemented in order to evaluate the proposed methodology. Mass and energy balances for all case studies, estimated techno-economic metrics, cost of externalities and risk assessment results are provided</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Supplementary information for D4.6 CEMCAP comparative techno-economic analysis of CO2 capture in cement plants

<p>Supplementary information for D4.6 CEMCAP comparative techno-economic analysis of CO2 capture in cement plants</p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

Data_ Integrating torrefaction of pulp industry sludge with anaerobic digestion to produce bioenergy and biochemicals: Techno-economic and environmental feasibility analysis

<p>In order to improve the economic competitiveness of bioenergy carriers and biochemicals, they must be produced<br> from low-cost or no-cost feedstock and at a reduced operational expenses. In that regard, this study<br> focused on understanding the techno-economic feasibility of using pulp sludge as a low-cost alternative feedstock<br> to forestry biomass in torrefaction. Economic feasibility of further integrating pulp sludge torrefaction with<br> anaerobic digestion to produce energy, biomethane and volatile fatty acids (VFA) was also studied. The operational<br> expenses were around 8.2 and 2.04 M&euro; and the minimum selling price of torrefied pellets was 407 and<br> 189 &euro;/t for forestry biomass torrefaction and pulp sludge torrefaction respectively. In case of integrated approaches,<br> VFA production showed higher economic feasibility with a torrefied pellets selling price of 163 &euro;/t<br> compared with biomethane production (213 &euro;/t). The biomethane and VFA selling price can be reduced by 90<br> and 64% compared with current market price at torrefied pellets selling price of 260 &euro;/t. Sensitivity analysis<br> revealed that, moisture content of the sludge is the main influencing parameter on the overall economic feasibility<br> of the pulp sludge torrefaction. The environmental analysis showed that pulp sludge torrefaction has higher<br> emissions compared with forestry biomass torrefaction.</p>

opencc-by-4.0Jan 2023View details →
zenodo36/100

Deliverable [D4.1] Techno-economic sustainability analysis methodology on resources for bio-based products, conversion routes and end-of-life alternative valorisation options

<p>Techno-economic sustainability analysis (TESA) is a methodology framework to evaluate the performance of a process under technical and economic perspective. A process can be divided into three main sections, the resources required for bio-based products, the conversion routes for the production and finally, the end-of-life alternative valorisation options. Consequently, TESA is carried out separately in the three sections and evaluates the likelihood of their different technology scales and applications and their economic feasibility.</p>

opencc-by-4.0Apr 2020View details →
zenodo32/100

Techno-Economic Analysis of Battery Electricity Storage Towards Self-Sufficient Buildings.

<p>These data represent the energy demand of a building designed following the &ldquo;Directive of the European Parliament on the energy performance of building&rdquo; (2010/31/EU ) and that meets the &ldquo;Casaclima&rdquo; energy certificate. It belongs to the CasaClima A energy class (Class A for what concerns the envelope efficiency, Gold Class for what concerns the overall energy efficiency).</p> <p>Hourly electrical and thermal consumption are presented for a year for 5 different climatic conditions according to the IEA classification.</p> <p>Consumption has been modeled through Energy Plus and validated against measured data. Please refer to <a href="https://doi.org/10.1016/j.enconman.2022.115313">https://doi.org/10.1016/j.enconman.2022.115313</a> for the methodology description.</p> <p>Pleas acknowledge <a href="https://doi.org/10.1016/j.enconman.2022.115313">https://doi.org/10.1016/j.enconman.2022.115313</a> when using the data set.</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Optimizing Sustainable Dairy Farming: A Techno-Economic Analysis of Graphene Ranch Restoration

<p>&nbsp;</p> <p>This dataset, titled Standardized Dairy Farm Cost Output Table, contains financial and production information related to the establishment and operation of a proposed dairy farm. It includes initial investment costs such as stock cows, fixed assets, and working capital, as well as production capacity and budget projections over multiple years.</p> <p>Key sections include:<br>Initial Cost of Investment: Covers items like stock cows and fixed assets.<br>Production Capacity: Provides figures on dairy farm output over the years.<br>Budget Projections: Displays financial allocations and expected expenditures over different time periods.</p> <p>The dataset consists of multiple columns spanning projected years and various financial indicators to help estimate the cost-output relationship in dairy farming operations.</p>

opencc-by-4.0Sep 2024View details →
zenodo28/100

Solar Irrigation Potential in Sub-Saharan Africa: A Crop-Specific Techno-Economic Analysis

<p>This reposit contains seven crop files, including onion, tomato, cassava, potato, sorghum, wheat, and maize. The files contains simulated crop yield gain due to irrigation, and the associated economic benefits. README file in the repository contains the metadata of the crop files</p>

openApr 2024View details →

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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.

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record