کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7113841 1461076 2018 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-invasive estimation of domestic hot water usage with temperature and vibration sensors
ترجمه فارسی عنوان
برآورد غیر تهاجمی از مصرف آب گرم خانگی با سنسورهای دمای و لرزش
کلمات کلیدی
برآورد جریان آب داغ، آبگرمکنهای هوشمند، شبکه هوشمند،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Electric water heaters are responsible for a large portion of electricity consumption and water usage in the domestic sector. Smart water heaters alleviate the strain on the electricity supply grid and reduce water consumption through behavioural change, but the installation of in-line flow meters is inconvenient and expensive. A non-invasive water flow meter is proposed as an alternative. Non-invasive flow measurement is more common for high flow rates in the industrial sector than for domestic applications. Various non-invasive water measurement methods are investigated in the context of domestic hot water, and a combination of thermal- and vibration-sensing is proposed. The proposed solution uses inexpensive, easily installable, non-invasive sensors and a novel algorithm to provide the same flow measurement accuracy as existing in-line meters. The algorithm detects the beginning and end of water consumption events with an accuracy of 95.6%. Quantitative flow rate estimation was possible for flow rates greater than 5 L min−1 with an accuracy of 89%, while volumetric usage estimation had an accuracy of more than 93%. The algorithm limitations were applied to field data, revealing that water consumption could be detected with an error of less than 12% within the limitations of the proposed algorithm. The paper presents a successful proof of concept for a non-invasive alternative to domestic hot water flow rate measurement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Flow Measurement and Instrumentation - Volume 63, October 2018, Pages 1-7
نویسندگان
, , ,