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دسته بندی:
مدیریت انرژی - Energy Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
An intelligent semantic system for real-time demand response management of a thermal grid
ترجمه فارسی عنوان مقاله:
یک سیستم معنایی هوشمند برای مدیریت پاسخ به تقاضای زمان واقعی یک شبکه حرارتی
منبع:
Sciencedirect - Elsevier - Sustainable Cities and Society, 52 (2020) 101857. doi:10.1016/j.scs.2019.101857
نویسنده:
Yu Lia,b,⁎, Yacine Rezguia, Sylvain Kubickib
چکیده انگلیسی:
“Demand Response” energy management of thermal grids requires consideration of a wide range of factors at
building and district level, supported by continuously calibrated simulation models that reflect real operation
conditions. Moreover, cross-domain data interoperability between concepts used by the numerous hardware and
software is essential, in terms of Terminology, Metadata, Meaning and Logic. This paper leverages domain
ontology to map and align the semantic resources that underpin building and district energy management, with a
focus on the optimization of a thermal grid informed by real-time energy demand. The intelligence of the system
is derived from simulation-based optimization, informed by calibrated thermal models that predict the network’s
energy demand to inform (near) real-time generation. The paper demonstrates that the use of semantics helps
alleviate the endemic energy performance gap, as validated in a real district heating network where 36% reduction
on operation cost and 43% reduction on CO2 emission were observed compared to baseline operational
data.
Keywords: Thermal grid | Demand response | Energy optimization | Operation cost | Data interoperability | Semantic ontology
قیمت: رایگان
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