Data pertaining to the PhD thesis entitled "Blockchain, parameterisation and automated arbitrage applied to the chemical industry". Blockchain-enabled M2M electricity market.zip - this package contains files and instructions needed to reproduce work investigating how blockchain technology might be coupled to cyber-physical systems to leverage new opportunities in the context of eco-industrial parks by enabling automated trading of resources. The investigation is performed in the context of using blockchain to facilitate M2M interactions and establish a M2M electricity market in the chemical industry. The presented scenario includes two electricity producers and one electricity consumer trading with each other over a blockchain. All participants are supplied with realistic data produced by process flow sheet models. This work contributes a proof-of-concept implementation of the scenario. Surrogate models of a biodiesel plant.zip – this package contains files and instructions needed to reproduce work investigating the extent to which surrogate models can be used to paramaterise typical input-output relations in a process flow sheet model. Automated arbitrage spotter.zip - this package contains files and instructions needed to reproduce work investigating how the cyber-physical system can be applied to find and exploit opportunities for financial arbitration over chemical commodities on futures markets. It presents the implementation of an automated arbitrage spotter powered by market and physical data applied to two scenarios: conversion of natural gas to methanol and crude palm oil to biodiesel.