scholarly journals Motion and Sash Height (MASH) alarms for efficient fume hood use

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Johnathan Kongoletos ◽  
Ethan Munden ◽  
Jennifer Ballew ◽  
Daniel J. Preston
Keyword(s):  
Low Cost ◽  
Energy Costs ◽  
Monitoring Device ◽  
Fume Hood ◽  
Energy Expenditures ◽  
Building Management ◽  
Active Feedback ◽  
Annual Carbon ◽  
Building Management System ◽  
Using Data

AbstractVentilation, including fume hoods, consumes 40–70% of the total energy used by modern laboratories. Energy-conscious fume hood usage—for example, closing the sash when a hood is unused—can significantly reduce energy expenditures due to ventilation. Prior approaches to promote such behaviors among lab users have primarily relied on passive feedback methods. In this work, we developed a low-cost fume hood monitoring device with active feedback to alert lab users when a fume hood is left open and unused. Using data collected by the building management system, we observed a 75.6% decrease in the average sash height after installation of these “Motion and Sash Height” (MASH) alarms, which would result in a reduction roughly equal to 43% of the annual carbon emissions of a typical American vehicle, for each fume hood. The MASH alarm presented here reduced energy costs by approximately $1,159 per year, per hood, at MIT.

scholarly journals Numerical Model for Prediction of Indoor COVID-19 Infection Risk Based on Sensor Data

2021 ◽  
Vol 2069 (1) ◽  
pp. 012189
Author(s):  
J Virbulis ◽  
M Sjomkane ◽  
M Surovovs ◽  
A Jakovics
Keyword(s):  
Numerical Model ◽  
Low Cost ◽  
Infection Risk ◽  
Sensor Data ◽  
Effect Of Temperature ◽  
Indoor Environments ◽  
Building Management ◽  
Building Management System ◽  
Predicted Risk ◽  
Droplet Transmission

Abstract In addition to infection with SARS-CoV-2 via direct droplet transmission or contact with contaminated surfaces, infection via aerosol transport is a predominant pathway in indoor environments. The developed numerical model evaluates the risk of a COVID-19 infection in a particular room based on measurements of temperature, humidity, CO2 and particle concentration, the number of people and instances of speech, coughs and sneezing using a dedicated low-cost sensor system. The model can dynamically provide the predicted risk of infection to the building management system or people in the room. The effect of temperature, humidity and ventilation intensity on the infection risk is shown. Coughing and especially sneezing greatly increase the probability of infection in the room; therefore distinguishing these events is crucial for the applied measurement system.

scholarly journals Full IoT Lora School Building Management System

2019 ◽  
Author(s):  
Bruno Mataloto ◽  
Joao C. Ferreira ◽  
Nuno Cruz
Keyword(s):  
Energy Consumption ◽  
Low Cost ◽  
Development Phase ◽  
Total Energy Consumption ◽  
Cooling Systems ◽  
Flexible Approach ◽  
Heating And Cooling ◽  
Building Management ◽  
Building Management System ◽  
Communication Board

In this research paper we describe the development phase of a low-cost LoRa IoT solution applied to a kindergarten school with three years results. A set of sensors solution was developed in a LoRa communication board, battery powered, providing a simplified setup process. These sensors were used in order to measure temperature, humidity, luminosity, air quality and presence. Also, energy monitor solutions were integrated. The acquired data is transmitted and analysed for knowledge extraction, identifying savings and other related KPIs. From data, automatic saving actions were performed towards heating and cooling systems, lighting and a set of if-then actions were developed for automatic cost-saving actions, based on infrared signals to heating/cooling systems using some procedure of external command devices. This approach avoids the usage of proprietary vendor solutions in a flexible approach that can easily be deployed to any building facility. This is an important achievement since most of the building consumption is based on heating and cooling systems. In a three years test of the solution, the total energy consumption savings surpassed 20%

scholarly journals Building Management System to support building renovation

2010 ◽  
pp. 164-169
Author(s):  
Hang Yin
Keyword(s):  
Management System ◽  
Cost Savings ◽  
Modern Technology ◽  
Energy Costs ◽  
Building Management ◽  
Building Systems ◽  
Building Information ◽  
Information And Communication ◽  
Building Management System ◽  
User Friendly

Many publications have concluded that around 40% of the world’s energy costs are incurred in buildings. The biggest energy users in a building are facilities which cover 40% to 60% of the total energy cost. In recent years, construction work undertaken in building renovation and rehabilitation has increased considerably. Technical renovations have always brought better building management. Modern technology has a more user friendly interface as well as giving us the successful management of building systems and associated reduced costs. In order to implement more energy efficiency in existing buildings, Building Management System (BMS) and Building Information Modelling (BIM) play important roles in the energy & cost savings of the building’s life. This paper emphasises the use of Information and Communication Technology (ICT) to support and justify essential building renovation that will improve a building’s performance and decrease annual energy costs. We will present an introduction to BMS and BIM ...

scholarly journals Peel-and-Stick Sensors Powered by Directed RF Energy

2017 ◽  
Author(s):  
Christopher Lalau-Keraly ◽  
George Daniel ◽  
Joseph Lee ◽  
David Schwartz
Keyword(s):  
Wireless Sensors ◽  
High Performance ◽  
Energy Savings ◽  
Low Cost ◽  
Power Delivery ◽  
Sensor Nodes ◽  
Sensor Localization ◽  
Building Management ◽  
Building Management System ◽  
Rf Energy

PARC, a Xerox Company, is developing a low-cost system of peel-and-stick wireless sensors that will enable widespread building environment sensor deployment with the potential to deliver up to 30% energy savings. The system is embodied by a set of RF hubs that provide power to automatically located sensor nodes, and relay data wirelessly to the building management system (BMS). The sensor nodes are flexible electronic labels powered by rectified RF energy transmitted by an RF hub and can contain multiple printed and conventional sensors. The system design overcomes limitations in wireless sensors related to power delivery, lifetime, and cost by eliminating batteries and photovoltaic devices. Sensor localization is performed automatically by the inclusion of a programmable multidirectional antenna array in the RF hub. Comparison of signal strengths while the RF beam is swept allows for sensor localization, reducing installation effort and enabling automatic recommissioning of sensors that have been relocated, overcoming a significant challenge in building operations. PARC has already demonstrated wireless power and temperature data transmission up to a distance of 20m with less than one minute between measurements, using power levels well within the FCC regulation limits in the 902–928 MHz ISM band. The sensor’s RF energy harvesting antenna achieves high performance with dimensions below 5cm × 9cm.

scholarly journals Health and Housing Energy Expenditures: A Two-Part Model Approach

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 943
Author(s):  
Fátima Lima ◽  
Paula Ferreira ◽  
Vítor Leal
Keyword(s):  
Low Income ◽  
Health Expenditures ◽  
Household Level ◽  
Energy Expenditures ◽  
Health And Wellbeing ◽  
Health Gains ◽  
Key Factor ◽  
Using Data ◽  
Part Model ◽  
Model Approach

Interest in the interaction between energy and health within the built environment has been increasing in recent years, in the context of sustainable development. However, in order to promote health and wellbeing across all ages it is necessary to have a better understanding of the association between health and energy at household level. This study contributes to this debate by addressing the case of Portugal using data from the Household Budget Survey (HBS) microdata database. A two-part model is applied to estimate health expenditures based on energy-related expenditures, as well as socioeconomic variables. Additional statistical methods are used to enhance the perception of relevant predictors for health expenditures. Our findings suggest that given the high significance and coefficient value, energy expenditure is a relevant explanatory variable for health expenditures. This result is further validated by a dominance analysis ranking. Moreover, the results show that health gains and medical cost reductions can be a key factor to consider on the assessment of the economic viability of energy efficiency projects in buildings. This is particularly relevant for the older and low-income segments of the population.

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