Business modelling for smart continual commissioning in ESCO set-ups
Loading...
Files
Date
2017-08-22
Authors
Hryshchenko, Andriy
Menzel, Karsten
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
Published Version
Abstract
The availability of sensors, smart meters, and so called ‘intelligent devices’ (IoT) enables owners and tenants to better understand and flexibly adjust the status of buildings and their systems according to their needs. However, it also requires a more intense and detailed knowledge about how to exploit, analyse and manage ‘big data’ compiled from these devices. Building operators, facility managers and energy suppliers are expected to collaborate and to share this data aiming to deliver more holistic, comprehensive services to clients (i.e. owners and tenants of buildings). This paper discusses how so called ESCO-business models (energy service companies) and CC-business models (continuous commissioning) can be integrated through sharing of big data and collaboration of major stakeholders involved in building operation, energy supply and engineering consultancy. It explains how building owners will benefit from the availability of such comprehensive, collaborative services.
Description
Keywords
Big Data , Collaboration , Continual Commissioning , Energy Service Company , Facility Management.
Citation
Hryshchenko, A. and Menze, K. (2017) ‘Business Modelling for Smart Continual Commissioning in ESCO Set-Ups’, PRO-VE 2017: 18th Working Conference on Virtual Enterprises, Collaboration in a Data-Rich World, Vicenza, Italy, 18-20 September, in IFIP Advances in Information and Communication Technology, (IFIPAICT, volume 506) Cham: Springer International Publishing, pp. 307-319. doi: 10.1007/978-3-319-65151-4_29
Copyright
© IFIP International Federation for Information Processing 2017. This is a post-peer-review, pre-copyedit version of an article published in IFIP Advances in Information and Communication Technology. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-65151-4_29