Innovative Data-Driven Energy Services and Business Models in the Domestic Building Sector

The market of energy services for the residential sector in Europe is very limited at present. Various reasons can be argued such as high transaction costs a highly fragmented and low consumption per dwelling. rather long payback time investments render Energy Services Companies’ (ESCOs) financially unattractive many ESCOs building residents, thus hindering large potential savings that responsible almost half Europe’s consumption. If ambitious 2030 2050’s decarbonisation targets are to met, EU’s must part solution. This paper offers insights about novel ESCO business models based on intensive data-driven Artificial Intelligence algorithms analytics enable deployment smart domestic under Pay-for-Performance (P4P) approach. combination different sources efficiency optimal participation consumers aggregated demand response (DR) schemes open door new revenue streams service providers residents reduce hitherto periods sector. Innovative flexibility Aggregators thoroughly described. Especially customised Performance Measurement Verification protocols fair transparent P4P contracts. human-centric non-energy increase awareness users deploy behavioural automated responses both environmental signals maximise economic benefit consumers, always respecting data protection rules consumers’ comfort preferences. hybrid make traditional EPC more attractive providers, with cost collection treatment systems bring below 10 years