scholarly journals Decision Support System Tool to Reduce the Energy Consumption of Water Abstraction from Aquifers for Irrigation

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 323 ◽  
Author(s):  
Juan Córcoles ◽  
Rafael Gonzalez Perea ◽  
Argenis Izquiel ◽  
Miguel Moreno
Keyword(s):  
Decision Support ◽  
Energy Consumption ◽  
Decision Support System ◽  
Water Table ◽  
Support System ◽  
Energy Savings ◽  
Variable Speed ◽  
Variable Speed Drive ◽  
Water Abstraction ◽  
Water Table Level

In pressurized irrigation networks that use underground water resources, submersible pumps are one of the highest energy consumers. The objective of this paper was to develop a decision support system, implemented in MATLAB®, to reduce the energy consumption of the water abstraction process, from an aquifer to a reservoir in existing wells, by installing a frequency speed drive. An economic module with the aim to assess the economic profitability of the investment cost of the variable speed drive was also developed. This tool was used in three wells that were located in the Eastern Mancha Aquifer. Several scenarios and irrigation seasons were analyzed while considering the interannual and annual variation in ground water depth. In the three analyzed irrigation societies (named A, B, and C), energy savings were achieved using a variable speed frequency when compared with fixed speed. Considering the analyzed cases, when the dynamic water table level is higher, energy savings ranged from 4.4% and 24.4%, using a variable speed ratio of 0.9 and 0.82. The energy savings based on the variable speed frequency increased when the dynamic water table level was lower, with the average energy savings close to 23%, 22% and 6.8% for irrigation societies A, B, and C, respectively. The results also show that the investment costs of the variable speed drive in two of the three irrigation societies studied were highly profitable, with a payback that ranged from 4.5 to 10 years.

Decision Support System Based on Genetic Algorithms to Optimize the Daily Management of Water Abstraction from Multiple Groundwater Supply Sources

2020 ◽  
Vol 34 (15) ◽  
pp. 4739-4755 ◽  
Author(s):  
Rafael Gonzalez Perea ◽  
Miguel Ángel Moreno ◽  
Victor Buono da Silva Baptista ◽  
Juan Ignacio Córcoles
Keyword(s):  
Genetic Algorithms ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water Abstraction ◽  
Groundwater Supply

scholarly journals Decision support system for optimization of permits for wastewater discharge

RBRH ◽  
2018 ◽  
Vol 23 (0) ◽  
Author(s):  
Joaquin Ignacio Bonnecarrère Garcia ◽  
Andre Schardong ◽  
Rubem La Laina Porto
Keyword(s):  
Water Quality ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Control Strategies ◽  
Quality Standards ◽  
Wastewater Discharge ◽  
Water Quality Standards ◽  
Water Abstraction ◽  
Water Users

ABSTRACT This paper presents a Decision Support System (DSS) to assist in the issuing of wastewater discharge and water abstraction rights, including the evaluation of alternative pollution control strategies used to facilitate the analysis and implementation of the instrument. The DSS substantiates its analysis with the use of evolutionary algorithms for the optimization of water demand and wastewater discharge allocation. It intends to maximize the uses and minimize the costs of wastewater treatment measures, according to the limits imposed by the water quality standards. Among the strategies considered for the issuing of permits were the compliance with environmental legislation for wastewater discharge, the equality between water users, the water quality standards set by the water bodies’ classification, and the restrictions imposed by the responsible controlling water agency. The DSS’s results were satisfactory to the strategies analyzed, as they complied with the restrictions and penalties imposed to the objective function. The main objective of the proposed strategies is to evaluate the performance of the DSS in getting the results, as well as to analyze the flexibility of the algorithms when new restrictions and penalties are introduced in the decision making process.

scholarly journals A hybrid Decision Support System for Generation of Holistic Renovation Scenarios—Cases of Energy Consumption, Investment Cost, and Thermal Indoor Comfort

2018 ◽  
Vol 10 (4) ◽  
pp. 1255 ◽  
Author(s):  
Aliakbar Kamari ◽  
Stefan Jensen ◽  
Maria Christensen ◽  
Steffen Petersen ◽  
Poul Kirkegaard
Keyword(s):  
Decision Support ◽  
Energy Consumption ◽  
Decision Support System ◽  
Support System ◽  
Investment Cost ◽  
Indoor Comfort

scholarly journals Decision Support System for the Sustainable Seismic and Energy Renovation of Buildings: Methodological Layout

2020 ◽  
Vol 12 (24) ◽  
pp. 10273
Author(s):  
Antonio Artino ◽  
Riccardo Caponetto ◽  
Gianpiero Evola ◽  
Giuseppe Margani ◽  
Edoardo Michele Marino ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Environmental Sustainability ◽  
Energy Savings ◽  
Energy Performance ◽  
Structural Safety ◽  
Building Stock ◽  
The Real Estate ◽  
Lack Of Information

In Italy, as in many other European countries, a large part of the real estate was built before the issue of restrictive regulations regarding seismic resistance and energy efficiency. Consequently, most existing buildings show inadequate structural and energy performance. However, although a combined renovation is highly recommended, and despite relevant tax incentives which are currently available, the building retrofit market is still struggling to take off. In fact, the lack of information and/or awareness of the involved parties and the consequent difficulty for condominiums to approve the retrofit works are often insuperable obstacles. A Decision Support System (DSS) may help in evaluating and comparing different combined renovation scenarios, thus promoting the regeneration of the building stock. This study presents a new methodology for the selection of the optimal building renovation scenario through a DSS, which is conceived as a tool to allow a quick, simple and effective identification of the best retrofit strategy, based on a priority scale (e.g., costs and duration of intervention, disruption to the occupants, environmental sustainability, energy savings, thermal comfort, structural safety). For this purpose, the DSS calculates suitable performance indices and relative costs. Finally, the system proposes a ranking of the best combined retrofit scenarios. This research study is still ongoing and next steps will deal with the calibration of the proposed methodology.

scholarly journals A DECISION SUPPORT SYSTEM FOR TOMATO GROWERS BASED ON PLANT RESPONSES AND ENERGY CONSUMPTION

2014 ◽  
pp. 501-508 ◽  
Author(s):  
J. Hanssens ◽  
T. De Swaef ◽  
K. Steppe ◽  
D. Pinxteren ◽  
H. Marien ◽  
...  
Keyword(s):  
Decision Support ◽  
Energy Consumption ◽  
Decision Support System ◽  
Support System ◽  
Plant Responses
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