Single grain kernel model results

This data is from a model developed, which predicts the mass and heat transfer in a grain kernel. The model is based on the work of Fortes et.al. (1981), where four different drying conditions are tested and validated with experimental data. The data given is the moisture content and temperature in a grain kernel being dried under the four different conditions. The initial conditions, properties and geometry are as presented in Fortes et.al. (1981). M. FORTES; M. R. Okos; J. and R. BARRETT, JR; Heat and Mass Transfer Analysis of Intra-kernel Wheat Drying and Rewetting; J. agric. Engng Res. (1981) 26, 109-12

Evaporative cooling and application in HVAC systems

A collection of code snippets and datasets used within the project reppor

Video_CoBiol_280722

The storytelling of ICCE 2022: Audio Presentation This audio represents the outline of the presentation given at the 18th International Conference on clean energy - ICCE 2022.

Graphical abstract_CoBiol_260922

With the static #global growth 🌏 of the #biomass-derived #fuel #supplychain, coupled with their inclusion in the long-term #decarbonization of many transport enterprises, the sector still addresses the following #questions: are the emerging technologies assessing the #sustainability and #scalability of biofuels? and if so, what are the #challenges in the implementation of the future global #energy– #water–#climate #nexus? Despite #hydrothermal #liquefaction (HTL) being a competitive technology and apart from #crudeoil as the target product, the major challenge limiting the economic viability and technical scalability of the HTL-related process is the safe disposal of generated by-products, including nearly 25 wt.% to 50 wt.% post-hydrothermal #aqueous #phase (HTL-AP 💧) and 5 wt.% to 20 wt.% solid #hydrochar residues (HCs). #Integrating #adsorbents such as commercially #activatedcarbon and #zeolites can be a potential step to the removal of xenobiotic and recalcitrant #organic and #nutrient compounds from HTL-AP. However, these expensive adsorbents require a substitute for adsorption sustainability. Solid HCs, which are generated from HTL with carbon as the major element, can be used as low-cost adsorbents. However, its #porosity of 0.058–0.082 cm3/g and BET-specific surface area of 1.56–17 m2/g remain comparatively low because of the formation and condensation of hydrocarbons on the surface, thereby clogging pores and reducing its #adsorption capacity. To the best of our knowledge, existing HTL studies have well-characterized crude bio-oils but have not focused on hydrochar except for primary details such as yield and ultimate analysis. Furthermore, the use of HTL hydrochar as an alternative low cost for #commercial adsorbents and #wastewater #remediation purposes is very less explored in comparison to pyrolytic char. Hence, the focus of our just available online accepted article is to contribute to the knowledge development of these #gaps

Video_CoBiol_201221

What is the CO-HTL4BIO-OIL project? What’s CO-HTL4BIO-OIL? CO-HTL4BIO-OIL is admittedly an ambitious project that aims to address the following research questions: “What kind of FUTURE do we want for the WORLD?” and “What kind of WORLD do we want for the FUTURE?”. To discover the WPs of CoBiol and help us develop a green and resilient world for tomorrow with affordable water, food, and energy for everyone, you are highly welcome to visit and follow our LinkedIn page by clicking on this link: https://www.linkedin.com/feed/update/urn:li:activity:6878589922933059584

Smart Meter Synthetic Data Generator development in python using FBProphet

Data-science is a key component of modern science since it fuels AI, data analytics, etc. As the electrical grid has been modernised into a smart grid, it has also become increasingly dependent on data science to monitor and control grid activity. Realistic data is essential to evaluating the algorithm's workability but it is difficult to obtain real smart meter data due to strict privacy and security policies of many countries. Using the prophet library synthetic data sets are generated in prediction-based Synthetic Data Generator GUI. For that source CSV (real-time) file is used to generate synthetic data in CSV format depending upon the number meter and number days to be calculated. Using FB prophet, time series data can be forecast based on an additive model that integrates seasonality, yearly, weekly, and daily trends, as well as holiday effects into non-linear trends. The algorithm is most effective when there are several seasons of historical data and strong seasonal effects in the data series. FB prophet provide automated forecast for the time series data along with seasonality and trend removals

A Multi-agent Evolution Algorithm used for Input Shaping of a Repetitive Non-linear Dynamic System

This software uses Matlab/Simulink environment to simulate and optimize the performance of a so-called Digital Displacement Unit (a fluid power technology). It does so iteratively with a custom-made evolution type algorithm which requires little programming effort but yet deploys a priori knowledge of the system. The results and deeper description have/are gonna be presented at the conference on fluid power and motion control in the paper with the name of the title

Presentation_CoBiol_270722

Hydrothermal liquefaction of food wastes for sustainable production of high-grade biocrude-oil to drop-in transport fuel The transport sector is the highest consumer of fossil fuels accounting for 96% of the global energy, which corresponds to 65% of the global crude oil consumption. The escalating consumption of fossil fuels causes harmful environmental pollution by releasing > 7 billion tons of CO2 into the atmosphere. The awareness to transition from conventional fossil fuel to eco-friendly options has resulted in several decarbonization strategies with Europe’s priority to develop new alternative and carbon-neutral energy sources based on a cost-effective biomass-based thermochemical conversion. Hence, the objective of CO-HTL4BIO-OIL is to develop commercially viable catalytic co-hydrothermal liquefaction (CO-HTL) that converts 2G wet solid food wastes into a sustainable transport fuel with potential 100% atom efficiency, low production costs, and zero CO2 emissions. An in-depth study on the HTL parameters, optimization of the CO-HTL process, and techno-economic assessment are expected to provide an outlook scenario of the industrial-scale process for high biofuels production capacity. The project will respond to the Renewable Energy Directive (RED, 2009/28/EC) targeting-20-20-20 by 2020: 20% reduction in greenhouse gas emissions, 20% increase in energy efficiency, and 20% of the EU’s energy consumption originating from renewable sources. Hence, it will have a positive and pioneering impact in bringing together Europe's knowledge-based economy and society toward sustainable and green transportation

Dataset for publication: Exploring decentralized ammonia synthesis for hydrogen storage and transport: A comprehensive CFD investigation with experimental validation and parametric study

A zip file containing Ansys Fluent Case files, MATLAB code and EXCEL file