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design-of-heterogenous-reactors

digital-twin-data-analysis

Notebooks for R&D tasks

digital_twin

django-chemical_engineering

Django project to perform some Process Engineering concepts on a website.

drillingproject

Repo to track machine learning work on Oil and Gas drilling data

droptube

Char gasification example in a drop tube reactor

dvcp-te

Damn Vulnerable Chemical Process - Tennessee Eastman

dvcp-vam

Damn Vulnerable Chemical Process - Vinyl Acetate Monomer

dwpm-mixing-rule---binary-systems

Prediction of binary LLE by means of Gibbs energy of mixing modelling with DWPM, NRTL and UNIQUAC

dwsim-flowsheets

dynamic_wwtp_model_plus_lca

This repository contains a Jupyter notebook that generates LCA results (both classic and dynamic results), from the output of the dynamic Eindhoven WWTP model.

early-ml

A Python step-by-step primer for Machine Learning and Optimization

eco2rr

Repository for electrochemical CO2 reduction reaction related experiments at Cornell University in Prof. Tobias Hanrath's group.

economics-npv-irr

Calculating NPV and IRR based upon cash flow input

effervescence

Effervescence is a system for modeling the decarbonisation of energy supplies.

eia_cleaned_hourly_electricity_demand_code

Code associated with the EIA demand data anomaly screening and imputation project

electrocatalysis-microkinetic-analysis

Microkinetic models for electrochemical CO stripping and hydrogen oxidation

ene434

ENE434 - Energy Industry Analytics (NHH course)

enec490

Energy Analytics projects

energy

Repo for energy analytics coursework

energy-analytics

Projects worked on during my NSC 323: Energy Analytics practicum course Fall 2019. Throughout this course, a team and I worked closely with employees of ConocoPhillips on real industry problem statements. We used machine learning and statistical analysis to make various business decisions based on oil data.

energy-efficiency-optimization-neural-network

Data science project

energysystemmodelling

Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).

engcomp4_landlinear

Using computational thinking to get deep insights on the foundations of linear algebra

engcomp6_energy

enthalpy-prediction

This is the official repository for the paper "Machine Learning to Predict Standard Enthalpy of Formation of Hydrocarbons"

epfl-artificial-neural-network-spring-2019

epfl-deep-learning-spring-2020

espp90s

Economic analysis of wind powered ammonia fuel plant in MI, USA.

estm60203

Introduction to Operations Research