BISCUIT: Building Intelligent System Customer Investment Tools. Jin, M., Jia, R., Das, H. P., Feng, W., & Spanos, C. In International Conference on Applied Energy (ICAE), volume 158, pages 6152 - 6157, 2019.
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Pdf doi abstract bibtex Smart buildings as human-cyber-physical systems (h-CPSs) are capable of providing intelligent services, such as indoor positioning, personalized lighting, demand-based heating ventilation and air-conditioning, and automatic fault detection and recovery, just to name a few. However, most buildings nowadays lack the basic components and infrastructure to support such services. The investment decision of intelligent system design and retrofit can be a daunting task, because it involves both hardware (sensors, actuators, servers) and software (operating systems, service algorithms), which have issues of compatibility, functionality constraints, and opportunities of co-design of synergy. This work proposes a user-oriented investment decision toolset aimed at handling the complexity of exploration in the large design space and to enhance cost-effectiveness, energy efficiency, and human-centric values. The toolset is demonstrated in a case study to retrofit a medium-sized building, where it is shown to propose a design that significantly lowers the overall investment cost while achieving user specifications.
@INPROCEEDINGS{2019_1C_biscuit,
title = "BISCUIT: Building Intelligent System Customer Investment Tools",
booktitle = "International Conference on Applied Energy (ICAE)",
volume = "158",
pages = "6152 - 6157",
year = "2019",
issn = "1876-6102",
doi = "https://doi.org/10.1016/j.egypro.2019.01.495",
url_link = "http://www.sciencedirect.com/science/article/pii/S1876610219305181",
url_pdf = "BISCUIT_ICAE_CR.pdf",
author = "Ming Jin and Ruoxi Jia and Hari Prasanna Das and Wei Feng and Costas Spanos",
keywords = "Smart city, Optimization, Energy system",
abstract = "Smart buildings as human-cyber-physical systems (h-CPSs) are capable of providing intelligent services, such as indoor positioning, personalized lighting, demand-based heating ventilation and air-conditioning, and automatic fault detection and recovery, just to name a few. However, most buildings nowadays lack the basic components and infrastructure to support such services. The investment decision of intelligent system design and retrofit can be a daunting task, because it involves both hardware (sensors, actuators, servers) and software (operating systems, service algorithms), which have issues of compatibility, functionality constraints, and opportunities of co-design of synergy. This work proposes a user-oriented investment decision toolset aimed at handling the complexity of exploration in the large design space and to enhance cost-effectiveness, energy efficiency, and human-centric values. The toolset is demonstrated in a case study to retrofit a medium-sized building, where it is shown to propose a design that significantly lowers the overall investment cost while achieving user specifications."
}
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