scholarly journals An adaptive control framework based on Reinforcement learning to balance energy, comfort and hygiene in heat pump water heating systems

2021 ◽  
Vol 2042 (1) ◽  
pp. 012006
Author(s):  
Amirreza Heidari ◽  
Francois Marechal ◽  
Dolaana Khovalyg
Keyword(s):  
Reinforcement Learning ◽  
Water Use ◽  
Energy Use ◽  
Hot Water ◽  
Conventional Approach ◽  
Occupant Behavior ◽  
Water Heating ◽  
Heating Systems ◽  
Control Framework ◽  
Occupant Comfort

Abstract A major challenge in the operation of water heating systems lies in the highly stochastic nature of occupant behavior in hot water use, which varies over different buildings and can change over the time. However, the current operational strategies of water heating systems are detached from occupant behavior, and follow a conservative and energy intensive approach to ensure the availability of hot water any time it is demanded. This paper proposes a Reinforcement learning-based control framework which can learn and adapt to the occupant behavior of each specific building and make a balance between energy use, occupant comfort and water hygiene. The proposed framework is compared to the conventional approach using the real-world measurements of hot water use behavior in a single family residential building. Although the monitoring campaign has been executed during home lockdown due to COVID-19, when the occupants exhibited a very different schedule and water use related behavior, the proposed framework has learned the occupant behavior over a relatively short period of 8 weeks and provided 24.5% energy use reduction over the conventional approach, while preserving occupant comfort and water hygiene.

scholarly journals flEECe, an energy use and occupant behavior dataset for net-zero energy affordable senior residential buildings

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Frederick Paige ◽  
Philip Agee ◽  
Farrokh Jazizadeh
Keyword(s):  
Affordable Housing ◽  
Energy Use ◽  
Residential Buildings ◽  
Building Energy ◽  
Hot Water ◽  
Occupant Behavior ◽  
Zero Energy ◽  
Net Zero Energy ◽  
Net Zero ◽  
Building Energy Use

AbstractThe behaviors of building occupants have continued to perplex scholars for years in our attempts to develop models for energy efficient housing. Building simulations, project delivery approaches, policies, and more have fell short of their optimistic goals due to the complexity of human behavior. As a part of a multiphase longitudinal affordable housing study, this dataset represents energy and occupant behavior attributes for 6 affordable housing units over nine months in Virginia, USA which are not performing to the net-zero energy standard they were designed for. This dataset provides researchers the ability to analyze the following variables: energy performance, occupant behaviors, energy literacy, and ecological perceptions. Energy data is provided at a 1 Hz sampling rate for four circuits: main, hot water heater, dryer, and HVAC. Building specifications, occupancy, weather data, and neighboring building energy use data are provided to add depth to the dataset. This dataset can be used to update building energy use models, predictive maintenance, policy frameworks, construction risk models, economic models, and more.

Simulation of hybrid ground-coupled heat pump with domestic hot water heating systems using HVACSIM+

2008 ◽  
Vol 40 (9) ◽  
pp. 1731-1736 ◽  
Author(s):  
Ping Cui ◽  
Hongxing Yang ◽  
Jeffrey D. Spitler ◽  
Zhaohong Fang
Keyword(s):  
Heat Pump ◽  
Hot Water ◽  
Water Heating ◽  
Heating Systems ◽  
Domestic Hot Water ◽  
Ground Coupled Heat Pump

A Review of Polymer Materials for Solar Water Heating Systems

2000 ◽  
Vol 122 (2) ◽  
pp. 92-100 ◽  
Author(s):  
Raghu Raman ◽  
Susan Mantell ◽  
Jane Davidson ◽  
Chunhui Wu ◽  
Gary Jorgensen
Keyword(s):  
High Temperature ◽  
Heat Exchanger ◽  
Uv Light ◽  
Solar Spectrum ◽  
Hot Water ◽  
Polymer Materials ◽  
Water Heating ◽  
Heating Systems ◽  
Solar Water Heating ◽  
Solar Water

This paper summarizes current research aimed at using polymer materials for glazing and heat exchanger components in solar water heating systems. Functional requirements, relevant polymer properties and an approach for selecting polymers are described for each of these components. Glazing must have high transmittance across the solar spectrum and withstand long term exposure to ultraviolet (UV) light. Candidate glazing materials were tested outdoors for one year in Golden, Phoenix and Miami, as well as exposed for over 300 days in an accelerated testing facility at a concentration ratio of two at the National Renewable Energy Laboratory. Measurements of hemispherical transmittance indicate that a 3.35 mm polycarbonate sheet with a thin film acrylic UV screen provides good transmittance without excessive degradation. The primary challenge to designing a polymer heat exchanger is selecting a polymer that is compatible with potable water and capable of withstanding the high pressure and temperature requirements of domestic hot water systems. Polymers certified for hot water applications by the National Sanitation Foundation or currently used in heat exchangers and exhibit good high temperature characteristics were compared on the basis of a merit value (thermal conductance per unit area per dollar) and manufacturer’s recommendations. High temperature nylon (HTN), polypropylene (PP) and cross linked polypropylene (PEX) are recommended for tube components. For structural components (i.e. headers), glass reinforced high temperature nylon (HTN), polyphthalamide (PPA), polyphenylene sulphide (PPS) and polypropylene (PP) are recommended. [S0199-6231(00)00902-3]

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