Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in Northern Sweden ...

• Main Authors: Liu, Bokai, Penaka, Santhan Reddy, Lu, Weizhuo, Feng, Kailun, Rebbling, Anders, Olofsson, Thomas
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: arXiv 2023
• Subjects: Computational Engineering, Finance, and Science cs.CE; Computers and Society cs.CY; Numerical Analysis math.NA; FOS Computer and information sciences; FOS Mathematics; Northern Sweden
• Online Access: https://dx.doi.org/10.48550/arxiv.2309.11861; https://arxiv.org/abs/2309.11861

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 Västerbotten 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 ... : 28 pages ...