scholarly journals Optimising Tree Plantation Land Use in Brazil by Analysing Trade-Offs between Economic and Environmental Factors Using Multi-Objective Programming

Forests ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 723 ◽  
Author(s):  
Giovanna Medeiros ◽  
Thiago Florindo ◽  
Edson Talamini ◽  
Arthur Fett Neto ◽  
Clandio Ruviaro
Keyword(s):  
Land Use ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Production Systems ◽  
Multicriteria Decision Making ◽  
Tree Plantation ◽  
Multi Objective ◽  
Eucalyptus Forest ◽  
Multi Objective Programming ◽  
Trade Offs

In order to meet the growing global demand for bioproducts, areas of forests planted for productive purposes tend to increase worldwide. However, there are several controversies about the possible negative impacts of such forests, such as invasive potential, influence on water balance and biodiversity, and competition with other types of land use. As a result, there is a need to optimize land use, in order to achieve improvements in terms of sustainability in the broadest sense. In this study, the environmental and economic performances of pine and eucalyptus forest production systems for multiple purposes are compared aiming an optimized allocation of land use in the Center-West Region of Brazil. Life cycle assessment, life cycle cost and analysis of financial and economic indicators were used to assess potential environmental and economic impacts, covering the agricultural and industrial phases of pine and eucalyptus forest systems managed for the production of cellulose and sawn wood and, for pine, the production of rosin and turpentine from the extraction of gumresin and by applying the kraft process. Subsequently, the TOPSIS multicriteria decision-making method was applied to rank production systems in different combinations of phases and criteria, and multi-objective optimization was used to allocate land use according to different restrictions of areas and efficiency. The adoption of cleaner energy sources and the use of more efficient machines, equipment and vehicles are the main solutions to improve the environmental and economic performance of the forestry sector. The production systems of pine for cellulose and pine for sawn wood, rosin and turpentine were identified as the best solutions to optimize land use. For this reason, they must be considered as alternatives for the expansion and diversification of the Brazilian forest productive chain.

scholarly journals Multi-Objective Optimisation of the Energy Performance of Lightweight Constructions Combining Evolutionary Algorithms and Life Cycle Cost

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1863 ◽  
Author(s):  
Rui Oliveira ◽  
António Figueiredo ◽  
Romeu Vicente ◽  
Ricardo Almeida
Keyword(s):  
Life Cycle ◽  
Evolutionary Algorithm ◽  
Life Cycle Cost ◽  
Goodness Of Fit ◽  
Energy Performance ◽  
Department Of Energy ◽  
United States Department ◽  
Front Solution ◽  
Multi Objective ◽  
Trade Offs

This paper discusses the thermal and energy performance of a detached lightweight building. The building was monitored with hygrothermal sensors to collect data for building energy model calibration. The calibration was performed using a dynamic simulation through EnergyPlus® (EP) (Version 8.5, United States Department of Energy (DOE), Washington, DC, USA) with a hybrid evolutionary algorithm to minimise the root mean square error of the differences between the predicted and real recorded data. The results attained reveal a good agreement between predicted and real data with a goodness of fit below the limits imposed by the guidelines. Then, the evolutionary algorithm was used to meet the compliance criteria defined by the Passive House standard for different regions in Portugal’s mainland using different approaches in the overheating evaluation. The multi-objective optimisation was developed to study the interaction between annual heating demand and overheating rate objectives to assess their trade-offs, tracing the Pareto front solution for different climate regions throughout the whole of Portugal. However, the overheating issue is present, and numerous best solutions from multi-objective optimisation were determined, hindering the selection of a single best option. Hence, the life cycle cost of the Pareto solutions was determined, using the life cycle cost as the final criterion to single out the optimal solution or a combination of parameters.

Research on the Multi-Objective Optimization Model of System-Level BIT Testability Index Determination

2011 ◽  
Vol 121-126 ◽  
pp. 2223-2227 ◽  
Author(s):  
Chun Sheng Zhu ◽  
Qi Zhang ◽  
Fan Tun Su ◽  
Hong Liang Ran
Keyword(s):  
Genetic Algorithm ◽  
Life Cycle ◽  
Mathematical Models ◽  
Optimization Model ◽  
System Reliability ◽  
Life Cycle Cost ◽  
System Level ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Life Circle

By weighing reliability, maintainability, availability and life-cycle cost of equipment which are influenced by testability，the testability indexes of system level BIT are determined on the basis of maximum system reliability & maintainability and minimum the life-circle cost. The influence mathematical models of system reliability, maintainability, availability and life-circle cost are established. According to these mathematical models, the multi-objective optimization model of system-level BIT testability indexes is established. The multi-objective optimization model is solved using Non-dominated Sorting Genetic Algorithm II, and the validity of the multi-objective optimization model is proved through an example.

Risk-Based Multi-Objective Optimisation of a Monopile Offshore Wind Turbine Support Structure

2017 ◽  
Author(s):  
Baran Yeter ◽  
Yordan Garbatov ◽  
Carlos Guedes Soares
Keyword(s):  
Life Cycle ◽  
Wind Turbine ◽  
Life Cycle Cost ◽  
Construction Cost ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Support Structure ◽  
Critical Limit ◽  
Permissible Stress ◽  
Multi Objective

The present work carries out a multi-objective design optimization of a monopile offshore wind turbine support structure. Three objective functions are created related to the minimization of the total construction cost of the monopile support structure, fatigue damage, and permissible stress ratio. The construction cost takes into account the costs associated with welding and labor. The constructional limitations in the offshore industry take into consideration in the selection of the upper boundaries of the design variables. The reliability index is employed to identify the topology of the structure as a part of the Pareto frontier solution in reducing the failure probability for the critical limit states and satisfying the target reliability level. A risk-based assessment of the optimal designs is performed and the output is used to update the life-cycle cost assessment. The ultimate optimization target is deemed to be the minimization of the levelised cost of energy, which is estimated based on the discounted cash-flow method considering the life-cycle costs constituting CAPEX and OPEX.

scholarly journals Performance-based multi-objective design and expansion of water distribution networks considering life cycle costs and future demands

2021 ◽  
Author(s):  
Swati Sirsant ◽  
M. Janga Reddy
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Water Distribution ◽  
Structural Integrity ◽  
Population Change ◽  
Capacity Expansion ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Pareto Optimal ◽  
Multi Objective

Abstract Designing the Water Distribution Networks (WDNs) consists of finding out pipe sizes such that the demands are satisfied and the desired performance levels are achieved at minimum cost. However, WDNs are subject to many future changes such as an increase (or decrease) in demand due to population change and migration, changes in water availability due to seasonal and climatic change, etc. Thus, the capacity expansion of WDNs needs to be performed such that the cost of interventions made is minimum while satisfying the demand and performance requirements at various time periods. Therefore, the current study proposed a Dynamic Programming (DP) framework for capacity expansion of WDNs and solved using Multi-Objective Self Adaptive Differential Evolution (MOSADE). The methodology is tested on three benchmark WDNs, namely Two-loop (TL), GoYang, and Blacksburg (BLA) WDNs, and applied to a real case study of the Badlapur region Maharashtra, India. The results show that the proposed methodology leads to effective Pareto optimal fronts, making it an efficient method for solving WDN expansion problems. Subsequently, an Analytical Hierarchy Process (AHP) based multi-criteria decision-making (MCDM) analysis was performed on the obtained Pareto-optimal solutions to determine the most suitable solution based on three criteria: Life Cycle Cost (LCC) of expansions, hydraulic reliability, and mechanical reliability. The main advantage of the proposed methodology is its capability to consider hydraulic performance as well as structural integrity and demand satisfaction in the face of hydraulic and mechanical failures.

Interactive evolutionary multi-objective optimization and decision-making on life-cycle seismic design of bridge

2018 ◽  
Vol 21 (15) ◽  
pp. 2227-2240 ◽  
Author(s):  
Yu-Jing Li ◽  
Hong-Nan Li
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Seismic Design ◽  
Life Cycle Cost ◽  
Pareto Front ◽  
Optimization Procedure ◽  
Multi Objective Optimization ◽  
Seismic Capacity ◽  
Preference Information ◽  
Multi Objective

Considering future seismic risk and life-cycle cost, the life-cycle seismic design of bridge is formulated as a preference-based multi-objective optimization and decision-making problem, in which the conflicting design criteria that minimize life-cycle cost and maximize seismic capacity are treated simultaneously. Specifically, the preference information based on theoretical analysis and engineering judgment is embedded in the optimization procedure. Based on reasonable displacement ductility, the cost preference and safety preference information are used to progressively construct value function, directing the evolutionary multi-objective optimization algorithm’s search to more preferred solutions. The seismic design of a reinforced concrete pier is presented as an application example using the proposed procedure for the global Pareto front corresponding with engineering designers’ preference. The results indicate that the proposed model is available to find the global Pareto front satisfying the corresponding preference and overcoming the difficulties of the traditional multi-objective optimization algorithm in obtaining a full approximation of the entire Pareto optimal front for large-dimensional problems as well as cognitive difficulty in selecting one preferred solution from all these solutions.

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