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A Framework for Integrated Energy Systems, Infrastructure and Services Optimization with Visualization and Simulation Platform for Low-carbon Precincts
The energy informatics can be enhanced to support decision-making, communication and benchmarking of the energy performance both in design and operational phases. To enable engineers, developers and policy-makers to better understand the implications of energy systems and services, computer-generated visualization is a powerful tool to inform a range of technological options and to analyze the effects of energy system strategies. Visualization increases the transparency of results and the understanding of interactions between users and energy systems. This paper presents a novel conceptual framework for integrating energy systems, infrastructure and services optimization with a visualization and simulation platform. It focuses on the development of a tool for low-carbon energy systems and high quality energy services at precinct scale. The paper describes the vision and architectural design for the integrated framework. It is expected to serve as a next generation approach to managing energy services, carbon emissions and efficient resource use in the built environment. This will help to deliver new environmentally sustainable infrastructure and achieve carbon neutrality in urban development.
- Royal Institute of Technology Sweden
- University of Wollongong Australia
- University of Wollongong Australia
- University of Melbourne Australia
690
690
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
