S. Bucking, M. Rostami, Joshua Reinhart, Max St-Jacques
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引用次数: 6
Abstract
Climate change brings several challenges to BPS practitioners beyond GHG emission mitigation. Adaptation to grid-outage events, caused by both acute and chronic stresses, requires consideration of how building services can be provided to occupants in a time of need. At the moment, we lack both the tools and processes to quantify key metrics such as thermal resiliency in tandem with annual performance indicators. This paper proposes a multi-objective approach using thermal resiliency, annual net-energy, and life-cycle cost to better quantify building performance during grid-outages. The approach can handle a variety of events, using shortened simulation periods, and consider cost-implications of outages by applying the value of the lost load to annual operational costs. The methodology is demonstrated using a case-study and a historical grid-outage from an ice-storm event. Resiliency indicators are improved by two times and the payback of upgrade packages is decreased to 14 years for a single outage event.
期刊介绍:
The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies
We welcome building performance simulation contributions that explore the following topics related to buildings and communities:
-Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics).
-Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems.
-Theoretical aspects related to occupants, weather data, and other boundary conditions.
-Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid.
-Uncertainty, sensitivity analysis, and calibration.
-Methods and algorithms for validating models and for verifying solution methods and tools.
-Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics.
-Techniques for educating and training tool users.
-Software development techniques and interoperability issues with direct applicability to building performance simulation.
-Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.