CALL for Abstracts/Papers

Special Session on "Minimization of Climatic Impact on Water and Water Based Renewable Energy Systems by Cognitive and Hierarchical Techniques"

Special Session Organizer: Dr. Ganesh D. Kale, Ph.D (IISc Bangalore)

Assistant Professor, CED,

S V National Institute of Technology,

Surat-395007

Email: samarth_ganesh2003@yahoo.com

kale.gd@gmail.com, gdk@ced.svnit.ac.in

Aim and Scope

The burgeoning population, uncontrolled urbanization, increased fossil fuel consumption and industrialisation has increased concentrations of greenhouse gases which in turn has increased the atmospheric temperature all over the world. As a result, the regularity in climate is compromised.

As water and water based renewable energy systems are dependent on the climate of given location, the utilization of such resources to sustain livelihood becomes fragile and uncertain because of climate change.

Application of various decision-making methods and different optimization techniques to reduce risk and increase utilization of the available energy resources has been executed with much success. But very few studies were observed which tries to show the impact of climate change on maximum utilization of the water or water based renewable energy source under minimum cost constraints.

An optimization methodology based on Mixed Integer Linear Programming (MILP) has been developed for simultaneous optimization of water and energy (SOWE) in industrial processes (Kermani et.al.,2017). A multi-objective genetic algorithm (MOGA) was applied to find the best combination of mixing energy, economic and environmental indices concerning oilseed canola production (Mousavi-Avval et. al., 2017). Many optimization problems in various fields have been solved using diverse optimization algorithms. Traditional optimization techniques such as linear programming (LP), non-linear programming (NLP), and dynamic programming (DP) have had major roles in solving these problems. However, their drawbacks generate demand for other types of algorithms, such as heuristic optimization approaches (simulated annealing, tabu search and evolutionary algorithms).

However, there are still some possible ties of devising new heuristic algorithms based on analogies with natural or artificial phenomena. A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS). The performance of the algorithm is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem and a least-cost pipe network design problem (Geem et al., 2017).

A list of nature inspired algorithm is prepared by Fister et al. (2013) which discusses about various popular as well as new nature based optimization techniques. The paper concludes that bio-inspired algorithms are far optimal as compared to the conventional optimization techniques like linear or integer based optimization algorithms. Pohekar and Ramachandran (2004) reviewed the application of multi criteria decision making methods in sustainable energy planning.

Several methods based on weighted averages, priority setting, outranking, fuzzy principles and their combinations are employed for energy planning decisions. The authors observed that Analytical Hierarchy Process (AHP) which follows a hierarchical structure of signal processing and decision making to be the most popular technique followed by outranking techniques like PROMETHEE and ELECTRE.

From the literature reviewed, it can be concluded that the role of cognitive nature inspired optimization algorithms and multi criteria hierarchical decision-making methods has shown solutions to many water and energy related problems. That is why, keeping view of the growing popularity of these two techniques, the special session will try to highlight the studies which represent the application of nature inspired algorithms and multi criteria decision making methods or both to provide a explication to the future risk that will be imposed due to the change in the regular climatic patterns.

List of Topics to be covered

Multi Criteria Decision Making Methods/Hierarchical Techniques

⦁          Analytical Hierarchical Process

⦁          Analytical Networking Process

⦁          MACBETH

⦁          EVAMIX

⦁          DEMATEL

⦁          ELECTRA

⦁          Any other

Nature based optimization techniques/cognitive techniques

⦁          Ant Colony

⦁          Artificial Bee Hive

⦁          Particle Swarm

⦁          Enhanced Particle Swarm

⦁          Bacterial Foraging

⦁          Firefly optimization

⦁          Glow warm

⦁          Genetic Algorithm

⦁          Artificial Neural Network

⦁          Polynomial Neural Network

⦁          Any other..

Target Audience

Water and Irrigation, Power and other related Engineers

The industrial engineers who are working or interested to work in the field of water and energy management or who deal with the operational or maintenance activities of water and energy systems. The technical persons involved in watershed development projects or energy monitoring agencies will be benefitted.

Interdisciplinary Researchers/Scholars of water, energy and optimization techniques

The special session will benefit the researchers in the field of water, energy, water-energy nexus, soft computation, optimization, decision science.

Core Engineering, Energy and Environmental Students

The post or under graduate students of civil, mechanical, electrical, production, agricultural and industrial engineering will be benefitted from this special session.

 

Special Session Chairs: 

Dr. Mrinmoy Mujumdar, Asst. Professor, Hydro-Informatics Engineering, Civil Engg. Deptt., NIT, Agartala.

Dr. Ganesh D. Kale, Asst. Professor, Civil Engg. Deptt., SV NIT, Surat

Dr. Tarun Kanti Bandopadhyay, Asst. Prof., Chemical Engg. Deptt., NIT Agartala

Dr. P. G. Agnihotri, Assoc. Professor, Civil Engg. Deptt., SV NIT, Surat

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