Methods for optimising energy efficiency and renovation processes of complex public properties

• Published in: Energy and buildings Vol. 164; pp. 254 - 265
• Main Authors: Dotzler, Christina, Botzler, Sebastian, Kierdorf, Daniel, Lang, Werner
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.04.2018; Elsevier BV
• Subjects: Assessment tools; Bayesian analysis; Building physics; Building services; Buildings; Climate-neutral; Construction; Data acquisition; Decision making; Ecological monitoring; Energy conservation; Energy distribution; Energy efficiency; Energy modeling; Evaluation; Inspection; Mathematical models; Optimisation of renovation processes; Power efficiency; Properties (attributes); Renovation & restoration; Sensitivity analysis; Strategic management; Sustainable renovation; Uncertainty; Uncertainty analysis; Energy efficiency; Optimisation of renovation processes; Building physics; Assessment tools; Sustainable renovation; Climate-neutral
• ISSN: 0378-7788; 1872-6178
• DOI: 10.1016/j.enbuild.2017.12.060

The HoEff-CIM-project aims at developing automated inventory and evaluation tools, which support portfolio managers to plan and perform energy efficiency measures within large properties, considering their highly heterogeneous usages and structural specifications. The project covers models and tools, which facilitate the assessment of existing building stocks and the recognition of state of the art energetic reliance and renovation concepts. These concepts are then automatically adapted to different structural, technical and usage dependent parameters. The tools will help to analyse building physics and building services but also to empower strategic planning and energy distribution schemes. Therefore, an intuitive dataflow was needed that streamlines the process from data acquisition (building inspection), evaluation of buildings and renovation measures to the elaboration of specific building energy reports; all resulting in master plans for building complexes as well as systematic renovation strategies for larger properties. Particular emphasis was put on the determination of joint influences of building construction and building services on potential energy savings. Accompanying this quantification process, uncertainty and sensitivity analyses have been performed via Bayesian Network theory and statistical analytics. Different renovation concepts have been analysed, modelled and evaluated regarding their energy saving potential, usability as well as ecologic features. A ranking system was developed to assess specific energy demands of different building usages and to identify the most effective renovation measures. The result is a fully transparent, interactive and easy to understand decision-making methodology. The holistic approach contributes to create climate neutral building stocks and consequently to reach the energy saving and environmental goals defined by national and international governmental institutions (e.g. EED).