How to use ELECTRE in Water and Energy Informatics ?

ELECTRE Tutorial

ELECTRE is a decision making techniques which is widely used for detecting the best solution out of many available alternatives. This selection is made by following specific methods of outranking.A concordance and discordance matrix is used to outrank one option from the other.Click here to learn the technique such that you can use the methodology to solve your research problems.

You will be happy to know that the Water and Informatics and Energy and Informatics both the journal accepts original research works where ELECTRE is used to solve water or energy or both resource management problems.

Impact of Climate Change on Virtual and Green Water Availability in Arid Regions

Research Idea :
Impact of Climate Change on Virtual and Green Water Availability in Arid Regions

Suitable EIS Journals for Publication of the Findings of this research

International Journal of Hydro-Climatic Engineering

International Journal of Water and Informatics

International Journal of Watershed Management

Pre-requisite :
Hydro-metereological, Future Climate and Water Use Data, Knowledge about Predictive Hydrologic Models.

Justification of the Study : 
Virtual Water is the amount of water used in industries as raw material and Green Water is the volume of water utilized in agriculture.The availability of both of them is important for socio-economic development of any region.As arid regions are characterized by water scarcity,such places will be more vulnerable to climate change impacts.As this two type of water use is important for GDP of any region maintaining a minimum water volume for the said purposes will be important.

Brief Methodology : 
After collecting the relevant data, a meta-heuristic model can be prepared to predict the surface runoff. Commonly used hydrologic Models like HECHMS or an entirely new model can be developed by various meta-heuristic methods for estimation of the runoff and corresponding availability of virtual and green water can be derived by applying the water budget equation and the demand data collected from the study area.

Similar ideas can also be found at

Application of Nature Based Optimization Techniques in Optimizing Water Used in Renewable Energy Systems

Water and energy Nexus can save the world

The engineering advancements and burgeoning population have aggravated the requirements of energy. As the typical fuel resources are limited, the recent trend of energy demand has enforced concerns on the availability of fossil based fuels.The disturbance in the price of crude oil is one of the effect of this growing demand.That is why the renewable energy systems like hydro power, solar, wind, wave, tidal etc. has become a topic of concern and research.The common objective is the maximization of conversion efficiency and reduction of the expenses for the conversion.However, in most of the previous studies it was found that the function of water in enhancing productivity and decreasing cost is ignored.The novel and successful application of nature mimicking algorithms like Ant Colony,Artificial Bee,Particle Swarm Optimization in recent years has been used to identify optimal scenarios which can minimize the water requirement maintaining the balance between water used and energy produced.There by creating the water-energy nexus,utilization of water in renewable energy systems can be optimized.

Benefit of the Study : The proposed investigation can reduce the wastage of resources and may maximize the utilization of the natural resources in an objective manner.

Prerequisites :

1)Knowledge of Ant Colony,Artificial Bee,Particle Swarm Optimization.

2)An idea about Water Energy Nexus

Related Books and Papers :

The Water-Food-Energy Nexus: Processes, Technologies, and Challenges edited by I. M. Mujtaba, R. Srinivasan, N. O. Elbashir(2017)

International Renewable Energy Association. “Renewable Energy in the Water, Energy & Food Nexus.” Abu Dhabi: IRENA (2015).

Zhou, Yanlai, Li-Chiu Chang, Tin-Shuan Uen, Shenglian Guo, Chong-Yu Xu, and Fi-John Chang. “Prospect for small-hydropower installation settled upon optimal water allocation: An action to stimulate synergies of water-food-energy nexus.” Applied Energy 238 (2019): 668-682.

Related Journals where you can publish such papers :

International Journal of Water and Energy Nexus

New journal edited by the author of this post.Accept any original research works which highlight the optimization of water and energy nexus.

Water-Energy Nexus

Accept papers which depicts “research on energy efficiency in water and wastewater treatment and distribution, energy for water transmission/treatment/distribution and wastewater collection/treatment/disposal, water for energy extraction/production, and any related topics. It publishes original works about physical, chemical, biological, and environmental processes in engineering and management of the water-energy nexus”(As per the journal home page).

Related Conferences:

Water Energy Nexus,Africa 2020

The conference is going to be held in Tunisia.Dates are not announced yet.

1st International Conference on Water, Energy and Environment Nexus (WEEN-2019)

Conference is going to be held from 5 September 2019 09:00 – 8 September 2019 18:00 in Istanbul, Turkey.

EGU 2019

A session at EGU General Assembly 2019 on Hydropower and Other Renewable Energy Sources: Integration and Planning amid the Water-Energy Nexus will be held from 7-12 April 2019 in Viena, Austria.

For any further help on this research topic you can contact the author of this post.

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Signing Off : Mrinmoy Majumder,You are invited to be my friend in
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Research Idea : Application of Artificial Intelligence on Real Time Monitoring of Crop Water Requirement

The objective of the idea is to apply the concept of artificial intelligence to develop a software which can monitor the crop watering requirement for a agricultural field. The software will take inputs like amount of rainfall,soil moisture and evapo-transpiration and will predict the crop water available.The wilting point will be estimated with respect to the crop being harvested based on the minimum value of the same three parameters required for the harvesting of the selected crop .The software will be trained with a set of scenarios representing all the possible situations and with the help of cognitive modeling architectures like Artificial or Polynomial Neural Networks.Once the model has learned the problems from the scenarios the same is applied for prediction of crop water availability which will be compared with the minimum crop water requirement for the selected crop and thus the water requirement at that instant can be decided.If the soil moisture,rainfall and evapo-transpiration can be measured by automated instruments then the data can be fed real time to the software for prediction and comparison of crop water requirement.The output signal can be sent to the tank where additional water is stored such that the water can be supplied to mitigate the watering requirement at that instant.

Scientific Benefit : This adaptive tool can solve the problem of crop wilting and can also save cost,man-hour and energy due to its automated infrastructure.

Prerequisite : Concept of Artificial Neural Networks/Polynomial Neural Networks and Artificial Intelligence

Related Papers/Monographs :

Ghulam, A., Qin, Q., Teyip, T., & Li, Z. L. (2007). Modified perpendicular drought index (MPDI): a real-time drought monitoring method. ISPRS journal of photogrammetry and remote sensing, 62(2), 150-164.

Halverson, G. (2019). Near Real-Time Monitoring of Global Evapotranspiration and its Application to Water Resource Management (Doctoral dissertation, California State University, Northridge).

Chaudhry, S., & Garg, S. (2019). Smart Irrigation Techniques for Water Resource Management. In Smart Farming Technologies for Sustainable Agricultural Development (pp. 196-219). IGI Global.

Dalezios, N. R., Dercas, N., Spyropoulos, N. V., & Psomiadis, E. (2019). Remotely Sensed Methodologies for Crop Water Availability and Requirements in Precision Farming of Vulnerable Agriculture. Water Resources Management, 1-21.

Sarkar, A., & Majumder, M. (2018). Real-time monitoring of water requirement in protected farms by using polynomial neural networks and image processing. Environment, Development and Sustainability, 1-33.(Article of the Author of this post))

Journals you can publish :

Environment Development and Sustainability,Springer.

Water Resource Management,Springer.

International Journal of Water and Informatics,Baipatra Publishers.(Journal of the Author of this post)

Discuss about the following questions in Water,Energy and Informatics Group :

1)How much time will be required for accomplishing the objective by the real time monitoring system ??

2)How the parameters can be selected ? by Lt review or by experience ?

3)Will it be applicable for all kind of crops ? If not what will be changed on change in type of crops ?

Claim the idea | Publish in Journal | Discuss in Community | Subscribe

Signing Off : Mrinmoy Majumder,You are invited to be my friend in
 Research Gate / Linked In / Kudos/Twitter.  orSubscribe / Contact Me / Advertise.