Toward a Data-Driven Performance-Guided Urban Decision-Support Environment
The present contribution briefly represents the structure and main features of SEMERGY, a performance-guided multi-objective building optimization environment, supported by Semantic Web technologies. It establishes the importance of urban-scale performanc
- PDF / 668,420 Bytes
- 12 Pages / 439.363 x 666.131 pts Page_size
- 62 Downloads / 178 Views
Abstract. The present contribution briefly represents the structure and main features of SEMERGY, a performance-guided multi-objective building optimization environment, supported by Semantic Web technologies. It establishes the importance of urban-scale performance considerations, discusses particular features of urban data, and suggests a framework to upscale the SEMERGY approach towards development of a data-driven performance-guided urban decision support environment. The suggested task-based ontology framework can facilitate data and knowledge sharing within the domain of urban performance inquiries. Keywords: GIS. Semantic Web Technologies. Ontologies. Data-Driven. Building Performance. Urban Performance. Urban planning. Sustainability. Information Systems.
1
Introduction
Building Performance Evaluation (BPE), defined as "the process of obtaining knowledge about building performance and using the feedback to improve buildings" originated in the 1960's [1]. Ever since, efforts have been directed towards development and refinement of tools and methods to assess and/or predict the performance of buildings in terms of use of natural resources, contribution to undesired environmental phenomena, and user comfort. Despite the advances in the development of Building Performance Evaluation (BPE) tools over the past decades, the adoption of such tools to support and guide design decisions has been relatively slow and their implementation mostly limited to certification purposes [2, 3]. Among stated reasons for the insufficient adoption of such tools for sustainable planning and informed decision making were non-technical, socio-cultural barriers such as lack of financial justification, lack of motivation, or professional skepticism and prejudices [3, 4]. Stated technical barriers include the discordance of the available tools with the capabilities and expectations of the design community [5] and complexities related to data availability and accessibility, which render the process of data provision for BPE applications cumbersome, error prone and time consuming [6]. Linawati et al. (Eds.): ICT-EurAsia 2014, LNCS 8407, pp. 96–107, 2014. © IFIP International Federation for Information Processing 2014
Toward a Data-Driven Performance-Guided Urban Decision-Support Environment
97
The SEMERGY project [7, 8], was a recent (2011-2013) research and development effort, intended to address the data-related technical barriers to the integration of performance assessment tools in the building design process. SEMERGY aimed to explore the potential of semantic web technologies to facilitate the process of data accumulation and entry for building performance evaluation and optimization. Although integration of performance evaluation in the design of new buildings and retrofit projects supports informed decisions and sustainable design, an approach focused on individual buildings may not be singularly sufficient to insure energy efficiency and sustainability of the built environment. Certain performance aspects of the built envir
Data Loading...
