Energy Management

Author(s):  
Maheswari M. ◽  
Gunasekharan S. ◽  
Sumadeepthi Veeraganti

Energy is described as the amount of work that can be done by force. There are various forms of energy such as kinetic energy, potential energy, thermal energy, light energy, sound energy, and electromagnetic energy. As per the law of conservation of energy, it is neither created nor destroyed. In this modern era, energy became an integral part of our life. The life without energy is not at all possible nowadays. The energy is not offered at free of cost and it comes at an affordable prize. The generation of energy requires natural resources which are exhaust day by day. At the same time, the usage of energy is increasing exponentially. Managing and reducing energy consumption not only saves money but also helps in mitigating climate change and enhancing corporate reputation. The organizations can achieve appreciable energy reduction by adopting simple measures. This chapter discuss about the present scenario of energy, need for energy management, energy management program, and its various steps involved.

2003 ◽  
Vol 22 (3) ◽  
pp. 125-131
Author(s):  
Khaled A. Bubshait ◽  
Zulfqar Ali

Conservation of energy is one of the most important ways to achieve increased productivity in today's competitive business environment. Conservation of energy is achievable through a system design to control the use of energy and monitoring and maintenance of this control system. Maintenance management can play a key role in this regard which is the subject of this article. In order to prepare an energy management program, an organization needs to identify areas with potential for improvement and audit them periodically in a structured manner to continuously evaluate for improvements. This paper provides a framework for structured audits for energy conservation. These audits will help in assessing the current status of the energy conservation quantitatively and identify major opportunities for continuous improvement.


Geosciences ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 25
Author(s):  
Mohammadtaghi Avand ◽  
Hamid Reza Moradi ◽  
Mehdi Ramazanzadeh Lasboyee

Preparation of a flood probability map serves as the first step in a flood management program. This research develops a probability flood map for floods resulting from climate change in the future. Two models of Flexible Discrimination Analysis (FDA) and Artificial Neural Network (ANN) were used. Two optimistic (RCP2.6) and pessimistic (RCP8.5) climate change scenarios were considered for mapping future rainfall. Moreover, to produce probability flood occurrence maps, 263 locations of past flood events were used as dependent variables. The number of 13 factors conditioning floods was taken as independent variables in modeling. Of the total 263 flood locations, 80% (210 locations) and 20% (53 locations) were considered model training and validation. The Receiver Operating Characteristic (ROC) curve and other statistical criteria were used to validate the models. Based on assessments of the validated models, FDA, with a ROC-AUC = 0.918, standard error (SE = 0.038), and an accuracy of 0.86% compared to the ANN model with a ROC-AUC = 0.897, has the highest accuracy in preparing the flood probability map in the study area. The modeling results also showed that the factors of distance from the River, altitude, slope, and rainfall have the greatest impact on floods in the study area. Both models’ future flood susceptibility maps showed that the highest area is related to the very low class. The lowest area is related to the high class.


2009 ◽  
Vol 7 (1) ◽  
pp. 95 ◽  
Author(s):  
G.P. Maheshwari ◽  
A. Al Mulla ◽  
Y. Al Hadban

2014 ◽  
Vol 31 (4) ◽  
pp. 73-99
Author(s):  
Mohammad Khalil Elahee

The challenge of global climate change requires a radical change in our understanding of environmental issues, for its causes are linked to our dominant development model and its impact is significant at the grassroots level. Addressing energy production and consumption remains at the heart of any feasible solution. In this article, I define energy management (EM) as a systemic and systematic endeavor to optimize energy use through engineering and management tools in order to achieve political, economic, and environmental objectives. I also discuss what underpins EM’s ethical dimension, focusing on sustainability, and critically analyze the Islamic perspective to elaborate a value-based, universally acceptable, realistically applicable, and objective environmental ethic. By using EM as a vehicle toward sustainability, hence addressing climate change, I evaluate the outcomes of such a radical change in our understanding of environmental issues. I conclude by investigating whether a difference in vision with regard to faith and the hereafter can hinder a common engagement. Evidence is also sought from relevant specialist studies by non-Muslims, in which such Islamic principles as ordering the good and prohibiting the evil, ijmā‘, istiḥsān, istiṣḥāb, or istiṣlāḥhave been implemented to a given extent in all but name.


Author(s):  
V. P. Evstigneev ◽  
◽  
N. A. Lemeshko ◽  
V. A. Naumova ◽  
M. P. Evstigneev ◽  
...  

The paper deals with assessing an impact of wind climate change on the wind energy potential of the Azov and Black Sea coast region. A lower estimate of operating time for wind power installation and a potential annual energy output for the region are given for the case of Vestas V117-4.2MW. Calculation has been performed of a long-term mean wind speed for two adjacent climatic periods (1954–1983 and 1984–2013) based on data from meteorological stations of the Black and Azov Sea region. The results show a decrease in wind speed at all meteorological stations except for Novorossiysk. The wind climate change is confirmed by comparing two adjoined 30-year periods and by estimating linear trends of the mean annual wind speed for the period 1954–2013, which are negative and significant for almost all meteorological stations in the region (α = 1 %). The trend values were estimated by the nonparametric method of robust linear smoothing using the Theil – Sen function. In the present study, the uncertainty of wind energy resource induced by a gradual wind climate change is estimated for perspective planning of this branch of energy sector. Despite the observed trends in the wind regime, average wind speeds in the Azov and Black Sea region are sufficient for planning the location of wind power plants.


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