  We present an open digital ecosystem based on web-framework with a functional
back-end server in user-centric energy retrofits. This data-driven web
framework is proposed for building energy renovation benchmarking as part of an
energy advisory service development for the V\"asterbotten region, Sweden. A
4-tiers architecture is developed and programmed to achieve users' interactive
design and visualization via a web browser. Six data-driven methods are
integrated into this framework as backend server functions. Based on those
functions the users can be supported by this decision-making system when they
want to know if it needs to be renovated or not. Meanwhile, influential factors
(input values) from databases that affect energy usage in buildings are to be
analyzed via quantitative analysis, i.e., sensitive analysis. The contributions
to this open ecosystem platform in energy renovation are: 1) A systematic
framework that can be applied to energy efficiency with data-driven approaches,
2) A user-friendly web-based platform that is easy and flexible to use, and 3)
integrated quantitative analysis into the framework to obtain the importance
among all the relevant factors. This computational framework is designed for
stakeholders who would like to get preliminary information in energy advisory.
The improved energy advisor service enabled by the developed platform can
significantly reduce the cost of decision-making, enabling decision-makers to
participate in such professional knowledge-required decisions in a deliberate
and efficient manner. This work is funded by the AURORAL project, which
integrates an open and interoperable digital platform, demonstrated through
regional large-scale pilots in different countries of Europe by
interdisciplinary applications.
