scholarly journals Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage

2020 ◽  
Vol 12 (3) ◽  
pp. 1026 ◽  
Author(s):  
Julián Ignacio Monís ◽  
Rafael López-Luque ◽  
Juan Reca ◽  
Juan Martínez
Keyword(s):  
Optimal Design ◽  
Irrigation System ◽  
Hybrid Approach ◽  
Heuristic Method ◽  
Cost Effective ◽  
Search Space ◽  
Irrigation Systems ◽  
Space Reduction ◽  
The Cost

Small off-grid photovoltaic (PV) pumping irrigation systems with storage tanks are an environmentally friendly, cost effective and efficient way of taking advantage of solar energy to irrigate crops, and they are increasingly being used today. However, finding the optimal design of this type of system is cumbersome since there are many possible designs. In this work, a new heuristic method based on the hybrid approach, which uses search space reduction, is developed and adapted to the optimal design for this type of PV irrigation system. At different stages, the proposed approach iteratively combines a bounding strategy based on the application of engineering rules with the aim of reducing the search space with a genetic algorithm to find the optimal design within this search space. The proposed methodology was applied to minimize the cost of a benchmark case study consisting of a real farm placed in the province of Almería (Spain). The proposed methodology was able to provide a faster and an accurate convergence due to the reduction of the search space. This fact led to a reduced total cost of the system. This study proved that the most sensitive variables were the number of modules and the type of pump, whereas the diameter of the pipe and volume of the storage tank remained more stable.

scholarly journals How Energy Retrofit Maintenance Affects Residential Buildings Market Value?

2020 ◽  
Vol 12 (12) ◽  
pp. 5213 ◽  
Author(s):  
Umberto Mecca ◽  
Giuseppe Moglia ◽  
Paolo Piantanida ◽  
Francesco Prizzon ◽  
Manuela Rebaudengo ◽  
...  
Keyword(s):  
Residential Buildings ◽  
Property Values ◽  
Market Value ◽  
Cost Effective ◽  
Real Estate Market ◽  
Energy Retrofit ◽  
Reference Framework ◽  
The Cost ◽  
Italian Legislation

By now, it is clear the built environment could play an important role in fighting climate change, since it accounts for around 39% of global energy-related carbon emissions. Generally speaking, Italian residential stock is over 50 years old and around 16% of that needs large interventions due to its poor maintenance condition. So, the maintenance in this context can play a pivotal role in acheiving both energy efficiency and asset valorization. Introduced by a reference framework for the question in the title, this paper presents the case study: a portion of a working-class neighborhoods near the metropolitan city of Turin, marked by very recurrent typologies for the period (early seventies). The local real estate market is discussed to investigate the extraordinary maintenance impact on the property values: the paper considers the market value increase due to the energy class upgrade and the external look improvement. Individual owners putting money on this group of works get a very cost-effective investment and take advantage of Italian legislation supporting these kinds of interventions: the whole is greater than the sum of its parts and in turn greater than the cost assumed for the renovation work.

scholarly journals A genetic algorithm for optimizing off-farm irrigation scheduling

2001 ◽  
Vol 3 (1) ◽  
pp. 11-22 ◽  
Author(s):  
J. B. Nixon ◽  
G. C. Dandy ◽  
A. R. Simpson
Keyword(s):  
Genetic Algorithm ◽  
Flow Rate ◽  
Open Channel ◽  
Irrigation System ◽  
Optimal Schedule ◽  
Search Space ◽  
Irrigation Scheduling ◽  
Great Promise ◽  
Water Delivery

This paper examines the use of genetic algorithm (GA) optimization to identify water delivery schedules for an open-channel irrigation system. Significant objectives and important constraints are identified for this system, and suitable representations of these within the GA framework are developed. Objectives include maximizing the number of orders that are scheduled to be delivered at the requested time and minimizing variations in the channel flow rate. If, however, an order is to be shifted, the irrigator preference for this to be by ±24 h rather than ±12 h is accounted for. Constraints include avoiding exceedance of channel capacity. The GA approach is demonstrated for an idealized system of five irrigators on a channel spur. In this case study, the GA technique efficiently identified the optimal schedule that was independently verified using full enumeration of the entire search space of possible order schedules. Results have shown great promise in the ability of GA techniques to identify good irrigation order schedules.

scholarly journals Appraising the Effect of the Primary Systems on the Cost Optimal Design of nZEB: A Case Study in Two Different Climates

2015 ◽  
Vol 78 ◽  
pp. 2028-2033 ◽  
Author(s):  
Maria Ferrara ◽  
Enrico Fabrizio ◽  
Joseph Virgone ◽  
Marco Filippi
Keyword(s):  
Optimal Design ◽  
The Cost ◽  
Different Climates

Can fisheries yield be enhanced by large-scale feeding of a predatory fish stock? A case study of the Icelandic cod stock

2001 ◽  
Vol 58 (10) ◽  
pp. 2091-2104 ◽  
Author(s):  
Björn Björnsson
Keyword(s):  
Large Scale ◽  
Gadus Morhua ◽  
Cost Effective ◽  
Prey Abundance ◽  
Predatory Fish ◽  
Fish Stock ◽  
Feeding Technique ◽  
Predator Abundance ◽  
The Cost

The concept of large-scale feeding of a predatory fish stock by natural prey species is introduced and evaluated for the Icelandic cod (Gadus morhua L.) stock. The paper addresses the question of whether fisheries yield can be enhanced by relocating food supply in an ecosystem from areas of surplus prey abundance to areas where predator abundance is high and prey abundance low. The benefits of large-scale feeding may be threefold. First, it may increase the growth rate and yield of a predatory fish stock. Second, it may reduce predation on valuable species. Third, it may lower the cost of fishing. For large-scale feeding to be economically feasible it is necessary to have access to large quantities of inexpensive and high-quality feed. In Iceland about 1 000 000 t of capelin, herring, and blue whiting are landed annually for fishmeal production, their price being less than 10% of that of cod. For much of the year these stocks are outside the distributional area of the Icelandic cod stock. The most cost-effective feeding technique must involve purse seiners and pelagic trawlers transporting their catch directly to the feeding locations. Different feeding scenarios, harvesting techniques, and ecological consequences are considered for the Icelandic cod stock.

scholarly journals CLIMADA v1.4.1: Towards a globally consistent adaptation options appraisal tool

2020 ◽  
Author(s):  
David N. Bresch ◽  
Gabriela Aznar-Siguan
Keyword(s):  
Climate Adaptation ◽  
Cost Effective ◽  
Interdisciplinary Studies ◽  
Decision Makers ◽  
Economic Framework ◽  
Impact Modelling ◽  
The Cost ◽  
Impact Events ◽  
Adaptation Options

Abstract. Climate change is a fact and adaptation to a changing environment therefore a necessity. Adaptation is ultimately local, yet similar challenges pose themselves to decision-makers all across the globe and on all levels. The Economics of Climate Adaptation (ECA) methodology established an economic framework to fully integrate risk and reward perspectives of different 10 stakeholders, underpinned by the CLIMADA impact modelling platform. We present an extension of the latter to appraise adaption options in a consistent fashion in order to provide decision-makers from the local to the global level with the necessary facts to identify the most effective instruments to meet the adaptation challenge. We apply the open-source methodology and its Python implementation to a case study in the Caribbean, which allows to prioritize a small basked of adaptation options, namely green and grey infrastructure options as well as behavioural measures, and permits inter-island comparisons. In 15 Anguilla, for example, mangroves avert simulated damages more than 4 times the cost estimated for restoration, while enforcement of building codes shows to be effective in the Turks and Caicos islands. For all islands, cost-effective measures reduce the cost of risk transfer, which covers damage of high impact events that cannot be cost-effectively prevented by other measures. This extended version of the CLIMADA platform has been designed to enable risk assessment and options appraisal in a modular form and occasionally bespoke fashion yet with high reusability of common functionalities to foster usage of the 20 platform in interdisciplinary studies and international collaboration.

A heuristic method against simulation for optimal allocation of inspection stations in manufacturing systems

SIMULATION ◽  
2018 ◽  
Vol 94 (11) ◽  
pp. 1027-1040
Author(s):  
Hamed Maleki ◽  
Aydin Aghazadeh Shabestari
Keyword(s):  
Manufacturing Systems ◽  
Optimal Allocation ◽  
Heuristic Method ◽  
Production Costs ◽  
Significant Cost ◽  
Cost Of Quality ◽  
Complementary Approach ◽  
Dynamic Software ◽  
The Cost

Continuous improvement in quality is the most important mantra for success in today’s competitive market. Previous studies indicated that although quality is the most important factor in gaining competitive superiority, increasing the level of quality alone cannot meet customers’ needs. One complementary approach to improving the level of quality to meet customers’ expectations is to lower the production costs and price of finished products. The quality circle as a path to achieve greater customer satisfaction is formed to identify the cost of quality and thus reduce this cost, which is a significant cost portion of the entire life cycle of products. This paper presents a case study in an electromotor manufacturing company. First, we build a mathematical model to allocate inspection stations to manufacturing processes and propose a heuristic approach to optimize it. Next, we use Enterprise Dynamic software for simulation. Finally, we compare these methods.

scholarly journals Strategic Capacity Management With Modular Manufacturing And Outsourcing: A Case Study

2011 ◽  
Vol 4 (4) ◽  
Author(s):  
Ignacio Garcia ◽  
Ray Venkataraman
Keyword(s):  
Business Strategy ◽  
Net Present Value ◽  
Cost Model ◽  
Flow Analysis ◽  
Cost Effective ◽  
Product Line ◽  
Fixed Costs ◽  
Course Of Action ◽  
The Cost

<p class="MsoBodyTextIndent2" style="text-align: justify; line-height: normal; text-indent: 0in; margin: 0in 34.2pt 0pt 0.5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt; mso-bidi-font-style: italic;">This paper proposes that downsizing an industrial manufacturer&rsquo;s capacity is a cost-effective strategy to reduce the cost of conversion while ensuring that adequate capacity is available to meet its business strategy requirements. A case study of a U.S. manufacturer of motors and other mechanical drive systems illustrates a proposed reduction in capacity that utilizes the development and implementation of a cost model to determine the best alternatives for a company whose capacity is not synchronized with its business strategy. The cost model for each alternative is investigated and compared against the &lsquo;Do nothing&rsquo; alternative, using net present value and cash flow analysis to build a case for the most effective course of action. The findings show the benefits of merging manufacturing by separating people, non-people, and fixed costs by facility, product line and product. In addition, the paper also illustrates the benefits of modular manufacturing and outsourcing as a way to further improve costs after the reduction of capacity.<span style="mso-spacerun: yes;">&nbsp; </span></span></p>

Triple Bottom Line-Focused Optimization of Oblique Turning Processes Based on Hybrid Modeling

2021 ◽  
pp. 215-241
Author(s):  
Ramón Quiza ◽  
Iván La Fé-Perdomo ◽  
Marcelino Rivas ◽  
Veena Ramtahalsing
Keyword(s):  
Experimental Data ◽  
Carbon Dioxide Emissions ◽  
Hybrid Approach ◽  
Triple Bottom Line ◽  
Search Space ◽  
The Other ◽  
Wide Sense ◽  
Bottom Line ◽  
Conflicting Objectives ◽  
The Cost

This chapter proposes a hybrid approach for modelling and optimizing the oblique turning processes. Analytical modelling and statistical regressions are combined for predicting the values of the most important parameters involved in the oblique cutting process. The predictions of the model were validated by using experimental data, showing coincidence for a 95% confidence level. Then, an a posteriori multi-objective optimization is carried out by using a genetic algorithm. Three conflicting objectives, which represent the three pillars of the sustainability as defined in the triple bottom line, are simultaneously considered: the carbon dioxide emissions, the cost, and the cutting time. The outcome of the optimization process is a set of non-nominate solutions, which are optimal in the wide sense that no other solution in the search space can improve one objective without worsening the other one. Finally, the decision-maker chooses the most convenient solution depending on the actual workshop conditions.

A Hybrid Disassembly Sequence Planning Approach for Maintenance

2002 ◽  
Vol 2 (1) ◽  
pp. 28-37 ◽  
Author(s):  
J. R. Li , ◽  
S. B. Tor , and ◽  
L. P. Khoo
Keyword(s):  
Fitness Function ◽  
Hybrid Approach ◽  
Search Space ◽  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Constraint Graph ◽  
Planning Approach ◽  
Disassembly Sequence

This paper describes a hybrid approach to handle disassembly sequence planning for maintenance. The product under maintenance is first modeled using a novel hybrid graph known as Disassembly Constraint Graph (DCG) which embodies complete disassembly information and can be used to prune the search space of disassembly sequences. Subsequently, a novel Tabu-enhanced GA engine is invoked to generate the near optimal disassembly sequences. A case study was used to illustrate the effectiveness of the proposed approach. The details of the DCG, the TS-enhanced GA engine and the fitness function used are presented in this paper.

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