scholarly journals The Exploratory Modeling Workbench: An open source toolkit for exploratory modeling, scenario discovery, and (multi-objective) robust decision making

2017 ◽  
Vol 96 ◽  
pp. 239-250 ◽  
Author(s):  
Jan H. Kwakkel
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Robust Decision Making ◽  
Multi Objective

scholarly journals An open source framework for many-objective robust decision making

2015 ◽  
Vol 74 ◽  
pp. 114-129 ◽  
Author(s):  
David Hadka ◽  
Jonathan Herman ◽  
Patrick Reed ◽  
Klaus Keller
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Robust Decision Making ◽  
Open Source Framework

Application Multi-Objective Robust Decision-Making to the Design of Run-ofRiver Hydropower Plants

2021 ◽  
Author(s):  
Veysel Yildiz ◽  
Charles Rougé ◽  
Solomon Brown
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
System Design ◽  
Power Production ◽  
Hydropower Plant ◽  
Design Parameters ◽  
Robust Decision Making ◽  
Multi Objective ◽  
Hydropower Plants ◽  
Benefit Cost

<p>Hydropower is a comparatively cheap, reliable, sustainable, and renewable<br>source of energy. Run of River (RoR) hydropower plants are characterised by a<br>negligible storage capacity and by generation almost completely dependent on the<br>timing and size of river flows. Their environmental footprint is minimal compared to that<br>of reservoir-powered plants, and they are much easier to deploy.<br>This work uses and extends HYPER, a state-of-the-art toolbox that finds the<br>design parameters that maximise either the RoR plant’s power production or its net<br>economic profit. Design parameters include turbine type (Kaplan, Francis, Pelton and<br>Crossflow), configuration (single or two in parallel), and design flow, along with<br>penstock diameter and thickness, admissible suction head, and specific and rotational<br>speed.<br>This work extends HYPER to realise hydropower system design that is robust<br>to climate variability and change and to changing economic conditions. It uses the many<br>objective robust decision making (MORDM) approach through the following steps: (1)<br>an explicit three objective formulation is introduced to explore how design parameter<br>choices balance investment cost, average annual revenue, and drought year (first<br>percentile) revenue, (2) coupling of a multi-objective evolutionary algorithm (here,<br>AMALGAM) with HYPER to solve the problem using 1,000 years of synthetic<br>streamflow data obtained with the Hirsch-Nowak streamflow generator, (3) sampling<br>of deeply uncertain factors to analyse robustness to climate change as well as financial<br>conditions (electricity prices and interest rates), (4) quantification of robustness across<br>these deeply uncertain states of the world. We also extend HYPER by adding the<br>possibility to consider three-turbine RoR plants.<br>The HYPER-MORDM approach is applied to a proposed RoR hydropower plant<br>to be built on Mukus River in Van province which is located in Eastern Anatolia region<br>of Turkey. Preliminary results suggest that applying MORDM approach to RoR<br>hydropower plants provides insights into the trade-offs between installation cost and<br>hydropower production, while supporting design with a range of viable alternatives to<br>help them determine which design and RoR plant operation is most robust and reliable<br>for given site conditions and river stream characteristics. Results confirm earlier<br>findings that installation of more than one turbine in a hydropower plant enhances<br>power production significantly by providing operational flexibility in the face of variable<br>streamflows. When contrasting robustness of a design with its benefit / cost ratio, a<br>classic measure of performance of hydropower system design which accounts only for<br>annual revenues and cost, designs with the highest benefit / cost ratios do not<br>necessarily perform well in terms of dry year revenue. They also show less robustness<br>to both climate change (and associated drying) and to evolving financial conditions<br>than the designs that do better balance average annual revenue with dry year revenue</p>

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

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