Applying real-time pollution control to reduce chemical costs and energy usage for DAF

2016 ◽  
Vol 2016 (12) ◽  
pp. 3227-3234
Author(s):  
H Long ◽  
E Broeders ◽  
H.W.H Menkveld
Author(s):  
Erica Fong ◽  
Dickson K.W. Chiu ◽  
Haiyang Hu ◽  
Yi Zhuang ◽  
Hua Hu

Peak electricity demands from huge number of households in a mega-city would cause contention, leading to potential blackout. This paper proposes bi-directional collaboration via a Smart Energy Monitor System (SEMS) between consumers and energy suppliers, exchanging real-time energy usage data with smart meters over the Internet and mobile devices for well-informed decisions and even predictions. The authors further propose the use of an Alert Management System (AMS) to monitor and aggregate critical energy consumption events for this purpose.


Sensors ◽  
2015 ◽  
Vol 15 (7) ◽  
pp. 14946-14959 ◽  
Author(s):  
Younsun Kim ◽  
Ingeol Lee ◽  
Sungho Kang

Author(s):  
Gauri Joshi ◽  
Vasundhara Sen

The neoclassical model of economics assumes that greater the information available, the easier it is for a consumer to make decisions. In the context of electricity usage, overwhelming amounts of information presented on energy bills and a lack of real-time information deter consumers from understanding their own energy usage and developing personalized strategies to reduce it. This study assesses the literacy levels regarding electricity bills amongst consumers in India. Regression results indicate that homes with stronger beliefs in energy conservation minimize their usage. The size of the dwelling,demographics, and the ownership of the dwelling influence literacy levels regarding electricity bills. The study had a counterintuitive finding, as the respondents were found reluctant to receive a normative comparison of their electricity bills—strange for a collectivistic cultured society like India. The study recommends making electricity bills more visually appealing and increasing their frequency to increase awareness of energy usage.


Author(s):  
PAO-ANN HSIUNG ◽  
HSIN-CHIEH KAO

Existing low power schedules mainly try to decrease overall system energy usage by shutting down unused devices after process scheduling. This often leads to suboptimal energy usage due to the lack of process slack time to shut down unused devices in a fixed system schedule such as that generated by a rate-monotonic or an earliest deadline first scheduler in a real-time embedded system. In this work, we try to integrate process scheduling with low power scheduling such that a low-power real-time feasible schedule is obtained. The proposed method called Low-Power Quasi-Dynamic Scheduling (LQS) was implemented and applied to some examples, including a sensor network node and Bluetooth devices, to prove its benefits.


Author(s):  
Anjana* E.N.S.S ◽  
Naveena A.

In today’s world of ‘Data at Finger Tips’, sensors have become ubiquitous, their applications have become numerous and this data is required round the clock and on-thego. The data picked up by the sensors is delivered to end-user in real time by IoT and further utilised for real time reports, off-line analysis and data aggregation. This review paper focuses on the different types of IoT sensors used for monitoring of atmospheric parameters. Sensors aided by wireless networking are the backbone of nowcasting and prevailing trends at any given area. IoT sensors data combined with satellite data and operational models enhance accuracy and expedite weather predictions. IoT data enable validation and updating of atmospheric depression models. Comprehensive study of sensors has been carried out and consolidated in this paper for ready reference by all stakeholdersMeteorological department, pollution control board, Nondestructive testing and evaluation of corrosive elements in atmosphere, farmers and horticulturists, to name a few.


Author(s):  
Pooja R. Khanna ◽  
Gareth Howells ◽  
Pavlos I. Lazaridis

AbstractWith the significant increase in energy demands in the last decade, the issues of unnecessary energy usage have increased rapidly. Therefore, there is an immediate need to provide a cheap and easily accessible monitoring tool for the energy consumed by an appliance used in homes and industries. Instead of monitoring the total power consumption of the houses and/or industries, it is useful to monitor the power consumption of the individual appliance, which in turn, helps in saving the overall energy usage and thereby makes it cost-effective. This paper presents a cost-efficient design and implementation of a monitoring system that can precisely measure the current and voltage of each appliance. The design provides tracking of device activity in a real-time environment for the industries and helps in adopting to the green initiative. The design comprises of Arduino based micro-controller and Raspberry Pi, that performs precise measurements of current and voltage of the device, followed by measuring the power consumed by the device. This paper presents two different system designs, one for the single-phase measurements and the other for the DC measurements. The single-phase measurement device comprises of 10-bit ADC whereas, the 24 V DC measurement device comprises of a 12-bit ADC, which provides higher measurement accuracy compared to other systems available in the market. The implemented design uses the EmonCMS web application to accumulate and envision the monitored data. It provides a flexible and user-friendly solution to monitor the measured data easily on any android or iOS devices.


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