Analysis of the efficacy of a simplified infrared energy management system

2008 ◽  
Vol 19 (2) ◽  
pp. 14-21 ◽  
Author(s):  
M. Adonis ◽  
M.T.E. Khan

This paper summarizes a comparison of an always-on and a programmable type industrial style infrared dryer. The load power supplied for each kind of dryer is analysed. The design and imple-mentation of an infrared radiation controller is also presented. The study includes both the theoretical aspects of the design process as well as an overview of the practical facets involved. The infrared drying system controller was subjected to comparative test-ing with an on/off control model, in order to observe the controller’s performance and validate its effec-tiveness. The proposed controller contributes to a more energy efficient drying system than the always-on techniques that are employed to fluctuate the heater temperature.

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4685
Author(s):  
Nissim Amar ◽  
Arron Shmaryahu ◽  
Michael Kolleti ◽  
Ilan Aharon

Hybridization of sources is spreading worldwide by utilizing renewable sources and storage units as standard parts of every grid. The conjunction of energy source and storage type open the door to reshaping the sustainability and robustness of the mains while improving system parameters such as efficiency and fuel consumption. The solution fits existing networks as well as new ones. The study proposes the creation of an accurate optimal sizing procedure for setting the required rating of each type of source. The first step is to model the storage and energy sources by using real experimental results for creating the generic database. Then, data on the mission profile, system constraints, and the minimization target function are inserted. The mission profile is then analyzed to determine the minimum and maximum energy source rating. Next, the real time energy management system controller is used to find the set of solutions for each available energy source and the optimal compatible storage in the revealed band to fulfil the mission task. A Pareto-curve is then plotted to present the optimal findings of the sizing procedure. Ultimately, the main research contribution is the far more accurate sizing results. A case study shows that relying on the standard method leads to noncompliance of sizing constraints, while the proposed procedure leads to fulfilling the mission successfully. First, by utilizing experimentally based energy and a storage unit. Second, by using the same real time energy management system controller in the sizing procedure.


Author(s):  
Oyinlolu Ayomidotun Odetoye ◽  
Akindele Segun Afolabi ◽  
Olubunmi Adewale Akinola

AbstractBuildings account for much of the world’s energy consumption; thus, it is important to develop ways, not just to harness more of the energy in the universe, but also to make system of devices in buildings more energy-efficient. Occupancy-based illumination is an emerging trend in energy management, but research in this field has mostly been focused on illumination of rooms and workspaces in building interiors. To the best of the authors’ knowledge, there is virtually no literature on the energy optimisation of depersonalised spaces such as passageways. This paper explores the development and evaluation of a controller-based model for illumination of passageways in buildings, where relatively-large number of depersonalized luminaires are usually found and automation might prove especially beneficial. After development, testing and scaled-up simulations, results show that occupancy-based illumination of exterior corridors and semi-covered passages in buildings is feasible, economical, has significant energy savings, and is worthy of consideration for modern buildings.


2017 ◽  
Vol 2017 (13) ◽  
pp. 834-839 ◽  
Author(s):  
Abhishek Kumar ◽  
Yan Deng ◽  
Xiangning He ◽  
Praveen Kumar ◽  
Ramesh C. Bansal

2012 ◽  
Vol 132 (10) ◽  
pp. 695-697 ◽  
Author(s):  
Hideki HAYASHI ◽  
Yukitoki TSUKAMOTO ◽  
Shouji MOCHIZUKI

2012 ◽  
Vol 132 (10) ◽  
pp. 692-694 ◽  
Author(s):  
Yoshihiro OGITA ◽  
Yutaka IINO ◽  
Hideki HAYASHI

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