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182 results for “coal”
A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning
<div> <div> <div> <div> <p>India aims to achieve net-zero emissions by 2070 and has set an ambitious target of 500 GW of renewable power generation capacity by 2030. Coal plants currently contribute to more than 60% of India’s electricity generation in 2022. Upgrading and decarbonizing high-emission coal plants became a pressing energy issue. A key technical parameter for coal plants is the operating station heat rate (SHR), which represents the thermal efficiency of a coal plant. Yet, the operating SHR of Indian coal plants varies and is not comprehensively documented. This study extends from several existing databases and creates an SHR dataset for 806 Indian coal plant units using machine learning (ML), presenting the most comprehensive coverage to date. Additionally, it incorporates environmental factors such as water stress risk and coal prices as prediction features to improve accuracy. This dataset, easily downloadable from our visualization platform, could inform energy and environmental policies for India’s coal power generation as the country transitions towards its renewable energy targets.</p> </div> </div> </div> </div>
Text-fig. 1. Geological map of the Staniantsi Coal Basin (redrawn from Angelov et al. 1993): 1 – Pleistocene sediments, 2 – Neogen sediments, 3 – Cretaceous sediments, 4 – Jurassic sediments, 5 – Triassic sediments. in Castor-Like Postcranial Adaptation In An Uppermost Miocene Beaver From The Staniantsi Basin (Nw Bulgaria)
Text-fig. 1. Geological map of the Staniantsi Coal Basin (redrawn from Angelov et al. 1993): 1 – Pleistocene sediments, 2 – Neogen sediments, 3 – Cretaceous sediments, 4 – Jurassic sediments, 5 – Triassic sediments.
Text-fig. 2. Staniantsi open cast mine seen from south-east (a) and in a more detailed view from the south (b). Most of the studied castorid material originates from the black coal bearing areas (swamp facies). in Castor-Like Postcranial Adaptation In An Uppermost Miocene Beaver From The Staniantsi Basin (Nw Bulgaria)
Text-fig. 2. Staniantsi open cast mine seen from south-east (a) and in a more detailed view from the south (b). Most of the studied castorid material originates from the black coal bearing areas (swamp facies).
Text-fig. 8. Plant fossils from Primorye, Partizansk coal basin, Frentsevka Formation, Bolshoy Kuvshin locality, early – middle Albian. a – undetermined species, spec. IBSS 320-137; b, c – Asiatifolium elegans G.SUN, S.X.GUO et SHAO L.ZHENG: b – spec. IBSS 320-86, c – spec. IBSS 320-8. Scale bar 0.5 cm. in An Angiosperm Dominated Herbaceous Community From The Early - Middle Albian Of Primorye, Far East Of Russia
Text-fig. 8. Plant fossils from Primorye, Partizansk coal basin, Frentsevka Formation, Bolshoy Kuvshin locality, early – middle Albian. a – undetermined species, spec. IBSS 320-137; b, c – Asiatifolium elegans G.SUN, S.X.GUO et SHAO L.ZHENG: b – spec. IBSS 320-86, c – spec. IBSS 320-8. Scale bar 0.5 cm.
Text-fig. 9. Plant fossils from Primorye, Partizansk coal basin, Frentsevka Formation, Bolshoy Kuvshin locality, early – middle Albian. a, b – Ternaricarpites floribundus KRASSILOV et VOLYNETS: a – spec. IBSS 320-10, b – spec. IBSS 320-31; c – Jixia pinnatipartita S.X.GUO et G.SUN, spec. IBSS 320-57. Scale bar 0.5 cm. in An Angiosperm Dominated Herbaceous Community From The Early - Middle Albian Of Primorye, Far East Of Russia
Text-fig. 9. Plant fossils from Primorye, Partizansk coal basin, Frentsevka Formation, Bolshoy Kuvshin locality, early – middle Albian. a, b – Ternaricarpites floribundus KRASSILOV et VOLYNETS: a – spec. IBSS 320-10, b – spec. IBSS 320-31; c – Jixia pinnatipartita S.X.GUO et G.SUN, spec. IBSS 320-57. Scale bar 0.5 cm.
Text-fig. 7. Plant fossils from Primorye, Partizansk coal basin, Frentsevka Formation, Bolshoy Kuvshin locality, early – middle Albian. a, c, e – Achaenocarpites capitellatus KRASSILOV et VOLYNETS: a – spec. IBSS 320-132, c – spec. IBSS 320-132, e – spec. IBSS 320-120; b – Onychiopsis psilotoides (STOKES et WEBB) WARD, spec. – IBSS 320-165; d, g – branching infructescence with several follicular fruits: d – spec. IBSS 320-145, g – IBSS 320-145; f – Asiatifolium elegans G.SUN, S.X.GUO et SHAO L.ZHENG, spec. IBSS 320-75. Scale bar 0.5 cm. in An Angiosperm Dominated Herbaceous Community From The Early - Middle Albian Of Primorye, Far East Of Russia
Text-fig. 7. Plant fossils from Primorye, Partizansk coal basin, Frentsevka Formation, Bolshoy Kuvshin locality, early – middle Albian. a, c, e – Achaenocarpites capitellatus KRASSILOV et VOLYNETS: a – spec. IBSS 320-132, c – spec. IBSS 320-132, e – spec. IBSS 320-120; b – Onychiopsis psilotoides (STOKES et WEBB) WARD, spec. – IBSS 320-165; d, g – branching infructescence with several follicular fruits: d – spec. IBSS 320-145, g – IBSS 320-145; f – Asiatifolium elegans G.SUN, S.X.GUO et SHAO L.ZHENG, spec. IBSS 320-75. Scale bar 0.5 cm.
Heavy metal removal from coal fly ash for low carbon footprint cement
<p>Source data for the publication "Heavy metal removal from coal fly ash for low carbon footprint cement"</p>
CCG: Morocco Coal to Clean Scenarios
<p>Data repository for the paper 'Morocco's Coal to Clean Journey: Optimised Pathways for Decarbonisation and Energy Security' (https://doi.org/10.21203/rs.3.rs-2579435/v4).</p> <p>Six clic-SAND scenario files for analysis of decarbonisation and energy security in Morocco, 'Data Note describing the scenarios' file outlining the steps to replicate the analysis and rebuild the scenarios, 'Data Annex' listing the data sources and assumptions in the scenarios, 'Instructions for running the model' outlining the steps required to re-run the scenarios on OSeMOSYS Cloud, and 'U4RIA Compliance' describing the level of compliance of the study to U4RIA principles.</p>
Synthesis of a novel amphoteric copolymer and its application as a dispersant for coal water slurry preparation
<p>In this work, a novel amphoteric copolymer was synthesized via free radical polymerization, named Poly(sodium p-styrenesulfonate–co-acrylic acid-co-diallyldimethylammonium chloride) (P(SS-co-AA-co-DMDAAC)). Afterwards, P(SS-co-AA-co-DMDAAC) was explored for use as a dispersant in coal water slurry (CWS) preparation. The structure of P(SS-co-AA-co-DMDAAC) was verified by Fourier transform infrared spectroscopy (FTIR) and Nuclear magnetic resonance (NMR). The synthetic conditions were optimized as the feed ratio of AA to SS was 1:1 (for Yulin coal) or 1.5:1 (for Yili coal), and DMDAAC dosage was 4.0 wt% (for Yulin coal) and 6.0 wt% (for Yili coal) toward total monomers. The performances of P(SS-co-AA-co-DMDAAC) as a dispersant for CWS were evaluated by various technologies, such as apparent viscosity, Zeta potential, static stability and contact angle measurements. The results revealed that the optimized dosage of P(SS-co-AA-co-DMDAAC) in CWS preparation was 0.3 wt% and 0.4 wt% for Yulin coal and Yili coal respectively. In this optimum condition, CWS prepared using P(SS-co-AA-co-DMDAAC) as dispersant showed a typical shear thinning behavior and excellent stability, which are desired in industry. The rheological models also confirmed the pseudo-plastic characteristics of CWS. Finally, as compared to the widespread used anionic dispersant Poly(sodium p-styrenesulfonate) (PSS), P(SS-co-AA-co-DMDAAC) developed in this work exhibited better slurry making performance. Introduction of cationic functional groups promoted the adsorption of dispersant, which further enhanced the electrostatic repulsion among coal particles. Accordingly, the viscosity of CWS decreased and static stability enhanced.</p>
Dynamic inferential NOx emission prediction model with delay estimation for SCR de-NOx process in coal-fired power plants
<p><span><span>The selective catalytic reduction (SCR) de</span><span>-</span><span>NO<sub>x</sub> </span><span>process in coal-fired power plants not only displays nonlinearity, large inertia, and time variation but also a lag in NO<sub>x</sub> analysis; </span><span>hence,</span><span> it is difficult to obtain an accurate model </span><span>that </span><span>can be used to control NH<sub>3</sub> injection </span><span>during changes in the </span><span>operating state. </span><span>In this work,</span><span> a novel dynamic inferential model with delay estimation was proposed for NO<sub>x</sub> emission prediction. First, k-nearest neighbour mutual information (knnMI) was used to estimate the time-delay of the descriptor variables, followed by reconstruction of the phase space of the model data. Second, multi-scale wavelet kernel partial least square (mwKPLS) was</span><span> used</span><span> to improve the prediction ability, </span><span>and this was followed by verification using </span><span>benchmark dataset experiments. Finally, the delay-time difference (DTD) method and feedback correction strategy </span><span>were </span><span>proposed to deal with the time variation of the SCR de</span><span>-</span><span>NO<sub>x</sub> process.</span> <span>Through the analysis of the </span><span>experimental field data </span><span>in the</span> <span>steady state, </span><span>the variable</span><span> state and </span><span>the </span>NO<sub>x</sub> analyser blowback process<span>, the results proved that</span><span> this dynamic model has </span><span>high prediction accuracy</span><span> during</span><span> state changes and can </span><span>realize</span><span> advance prediction of the NO<sub>x</sub> emission. </span></span></p>
Coal Chute Door
This coal chute door, located on the west side of the Old Courthouse Museum, was cast by the Sioux Falls Foundry & Machine Works, in Sioux Falls, SD. I took 32 raw photos with my iPhone XS Max, developed them to taste in Capture One 20, then exported them as tif files. In Metashape I used the 'high' setting. Source: Objaverse 1.0 / Sketchfab
Coal Scraper and Chain Conveyor
This object belongs to the Nederlands Mijmmuseum in Heerlen. This model of a coal scraper and chain conveyor was used for training outside of mines. With the mechanisation in the mines, new techniques and machines to get coal faster and more efficiently were developed. One of them, was a "coal slicer". Its sharp "teeth" were pulled by thick chains along the wall, breaking the coal off of it. The coal shavings would then be transported further with so-called "carriers", which would move it along and transport it to baskets that would take it outside. Even though this mechanisation made everyday life under the ground physically easier, the level of noise caused by an operating scraper and conveyor must have been difficult to bear, especially for an entire workday. The sounds embedded in this model are of the machine operating. Can you imagine working in a dark tunnel filled with these noises for an entire day? Created by Emilia Chmielowska Source: Objaverse 1.0 / Sketchfab
Hanhaoyang123/Pozzolanic-activity-experimental-dataset-of-calcined-coal-gangue-v1.0.2: Pozzolanic-activity-experimental-dataset-of-calcined-coal-gangue-v1.0.2
<p>This release contains experimental data on the pozzolanic of calcined coal gangue. "The data on the strength" presents the compressive and flexural strength data of cement mortar specimens (40×40×160 cm) containing 30% calcined coal gangue at different temperatures and curing times (3 days, 7 days, and 28 days). "Column chart of strength" visually represents the flexural and compressive strength data mentioned above in the form of bar charts, with temperature intervals on the x-axis and flexural strength and compressive strength on the y-axis. "R3 activity test data" displays the weights before and after calcination, along with the weight difference representing the combined water content measured through R3 activity testing. "The bar chart of R3 activity test" visually represents the combined water content in the form of bar charts, with temperature intervals on the x-axis and combined water content on the y-axis. Thermogravimetric data show the changes in TG and DTG concerning temperature(T). FTIR curve data at different temperatures include Wavenumber and absorbance values. XRD curve data display Degrees and Intensity, along with 80 scanning electron microscope images capturing different temperature coal gangue powder photos.</p>
Data for: Research and application of bag filter system for railway ballast bed coal suction vehicles
<p>The current bag filter system used by railway ballast bed coal suction vehicles for cleaning coal dust from railway tunnels has low operational efficiency and generates significant volumes of dust. This paper describes a simulation test unit designed to enhance the dust removal performance in railway tunnels. The flow field inside the simulation test unit is investigated under different operating conditions through numerical simulations, and the variations in air volume and working resistance, total dust collection efficiency, and optimal operating parameters of a pulse cleaning system are identified through a series of experiments. The numerical results show that the pulse cleaning system does not significantly affect the uniformity of the flow field distribution at the bottom of the filter cartridge during the process of operation. The experimental research indicates that the simulation test unit satisfies the design requirements, achieving an average total dust removal efficiency of 99.93%. A field application shows that the total dust mass concentration at the operator position can be reduced from 335.8 mg.m<sup>−3</sup> to 4.2 mg.m<sup>−3</sup>, effectively improving the operating environment within the tunnel.</p>
China's coal methane emissions over 2011-2019
<p>The gridded inventory of China's coal methane emissions over 2011-2019 (gridded raster files of abandoned mine methane (AMM) and underground coal mine methane (CMM)). This dataset also concludes the original codes for the emission calculation.</p>
Local to regional methane emissions from the Upper Silesia Coal Basin (USCB) quantified using UAV-based atmospheric measurements
<p>Raw data for Andersen et al., 2021 (Local to regional methane emissions from the Upper Silesia Coal Basin (USCB) quantified using UAV-based atmospheric measurements)</p>
Data in Support of: Coal Exit Policy Must Confront Loopholes and Laggards for Political Momentum to Matter for Paris Targets
<p>Input and output data of COALogit and REMIND, which generated the dynamic feasibility space of national accession to the Powering Past Coal Alliance (PPCA) and the long-term energy system and emissions impacts of PPCA-induced coal phase-out scenarios, respectively. </p>
CCG Starter Kits - Base SAND file for South America- Coal and Natural Gas Scenario
<p>This file is the Base SAND file for South America with coal and natural gas.</p> <p>This is published as part of the MethodsX paper titled <strong>How to put together a Starter Data Kit from scratch? An extensive methodology to compile zero-order energy transition models. </strong>The main goal of the files published for this paper is to develop a set of credible data and an initial investment model for several developing countries.</p>
Replication files for An installation-level China coal model
<p>Replciation files for all figures in "An installation-level model of China’s coal sector shows how its decarbonization and energy security plans will reduce overseas coal imports"</p>
AEMO - NEM generation, demand, price, coal generator revenues and other data (30-min frequency), July 2017-June 2021
<p>This dataset includes 30-minute generation, demand, RRP data as well as data on coal generator revenues in the NEM between 1 July 2017 and 30 June 2021. Raw data originate from AEMO and OpenNEM and were assembled by the authors.</p>
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OpenNeuro
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