{'fraction_non_alphanumeric': 0.016592920353982302, 'fraction_numerical': 0.0, 'mean_word_length': 5.198630136986301, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
EVALUATION OF AN EVOLVING HOUSING STOCK: SCENARIOS TOWARDS ITS DECARBONISATION

Whilst the application of housing stock energy models has allowed us to rigorously model both energy use and indoor comfort, their usability is still being questioned by their restricted, or even null, ability to represent the impacts of trade-offs that households make between energy bills, indoor comfort and health, as well as changes on the composition of houses and householders over a number of years. This work describes a complement to EnHub, a platform that dynamically simulates the energy demands and carbon emissions of the English housing stock, by deploying scenarios that reflect m ultiple c hanges i n the (future) composition of it. The aim here is to highlight the potential for improvement of the housing stock energy performance, and to improve the evidence base of future housing decarbonisation policy.