scholarly journals An Innovative Multicriteria Decision-Making Tool for Building Performance Optimization

2021 ◽  
Vol 11 (1) ◽  
pp. 6603-6608
Author(s):  
A. Serbouti ◽  
M. Rattal ◽  
E. M. Oualim ◽  
A. Mouhsen

Buildings are accountable for nearly 40% of global greenhouse gas emissions. Their overall efficiency is thus a major pillar to optimize energy consumption and to mitigate engendered global warming. The current work takes part in this global dynamic. Indeed, we developed a standalone decision-aid tool based on sensitivity analysis, multiobjective optimization, and artificial neural networks to design a new generation of energy-efficient buildings. The tool aims to allow benefiting from Sobol’ sensitivity analysis samplings to instantaneously generate sensitivity indexes and perform multicriteria optimizations. This efficient process allows both understanding buildings’ complex behavior (by ranking the impact of the inputs parameters on the outputs and highlighting their interactions) and optimizing their overall performance. The main advantages of this method are the time gaining and the provision of relevant outputs to analyze the buildings’ design. The tool was successfully used to solve constrained 13-input parameters with 5-criteria on TRNSYS simulation program, considering the impact of global warming

2021 ◽  
Author(s):  
Julian Salomon ◽  
Jan Göing ◽  
Sebastian Lück ◽  
Matteo Broggi ◽  
Jens Friedrichs ◽  
...  

Abstract In this work the impact of combined module variances on the overall performance of a high-bypass aircraft engine is investigated. Therefore, a comprehensive sensitivity analysis on the example of a turbofan engine performance model is provided by means of Kucherenko indices. Direct influences of selected model inputs on key model outputs as well as influences due to interaction effects between these input variables are identified. The selected input variables of the performance model are partly subject to considerable dependencies that are taken into account by the Kucherenko indices. The results confirm known direct influences of deterioration effects on the key performance parameters of the aircraft engine on the one hand, and provide profound insights into complex interaction effects between the components and their impact on the V2500-A1 aircraft engine performance on the other.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4069
Author(s):  
Mingzhang Pan ◽  
Chengjie Pan ◽  
Jinyang Liao ◽  
Chao Li ◽  
Rong Huang ◽  
...  

As a highly nonlinear system, the performance of proton exchange membrane fuel cell (PEMFC) is controlled by various parameters. If the effects of all parameters are considered during the performance optimization, low working efficiency and waste of resources will be caused. The development of sensitivity analysis for parameters can not only exclude the parameters which have slight effects on the system, but also provide the reasonable setting ranges of boundary values for simulation of performance optimization. Therefore, sensitivity analysis of parameters is considered as one of the methods to optimize the fuel cell performance. According to the actual operating conditions of PEMFC, the fluctuation ranges of seven sets of parameters affecting the output performance of PEMFC are determined, namely cell operating temperature, anode/cathode temperature, anode/cathode pressure, and anode/cathode mass flow rate. Then, the control variable method is used to qualitatively analyze the sensitivity of main parameters and combines with the Monte Carlo method to obtain the sensitivity indexes of the insensitive parameters under the specified current density. The results indicate that among these parameters, the working temperature of the fuel cell is the most sensitive to the output performance under all working conditions, whereas the inlet temperature is the least sensitive within the range of deviation. Moreover, the cloud maps of water content distribution under the fluctuation of three more sensitive parameters are compared; the results verify the simulated data and further reveal the reasons for performance changes. The workload of PEMFC performance optimization will be reduced based on the obtained results.


Author(s):  
Hua Sun ◽  
De-yu Wang

This paper mainly studies the impact of the outer diameter, length and location of the buoyancy module of flexible riser on the overall performance of the riser and perform sensitivity analysis of these parameters. The model was built in ABAQUS to study on the section force and section moment in different cases by static analysis and dynamic analysis. The study shows that the outer diameter and location of the buoyancy module are both high-sensitivity parameters. The outer diameter mainly has a great impact on section moment of the riser and the location has an impact both on section force and section moment. However, the impact of length for the overall performance of the riser is weak. Sensitivity Analysis of buoyancy modules parameters in this paper plays a certain reference to the design of the buoyancy modules of the lazy-wave riser.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 636
Author(s):  
Seyedeh Farzaneh Mousavi Motlagh ◽  
Ali Sohani ◽  
Mohammad Djavad Saghafi ◽  
Hoseyn Sayyaadi ◽  
Benedetto Nastasi

Owing to the current challenges in energy and environmental crises, improving buildings, as one of the biggest concerns and contributors to these issues, is increasingly receiving attention from the world. Due to a variety of choices and situations for improving buildings, it is important to review the building performance optimization studies to find the proper solution. In this paper, these studies are reviewed by analyzing all the different key parameters involved in the optimization process, including the considered decision variables, objective functions, constraints, and case studies, along with the software programs and optimization algorithms employed. As the core literature, 44 investigations recently published are considered and compared. The current investigation provides sufficient information for all the experts in the building sector, such as architects and mechanical engineers. It is noticed that EnergyPlus and MATLAB have been employed more than other software for building simulation and optimization, respectively. In addition, among the nine different aspects that have been optimized in the literature, energy consumption, thermal comfort, and economic benefits are the first, second, and third most optimized, having shares of 38.6%, 22.7%, and 17%, respectively.


2021 ◽  
Author(s):  
Qibo Liu ◽  
Zixin Wang

Abstract Background: Green BIM emphasizing the contribution of BIM technology to the design and construction of green buildings. It attaching importance to the impact of climate and regional environment, using benchmarking and target setting, using BIM architecture for building performance analysis and realizing performance optimization through scheme comparison and modification. A university campus is a community that has a certain geographical scope and spatial scale and involves a variety of functions, such as teaching, scientific research, and living space. Hence, a campus possesses urban characteristics and diverse building types, and the construction of green university campuses will play a leading role in green urban construction in China under the increasing ecological and energy pressure of cities. Methods: Based on the Green BIM decision cycle model, the study employs BIM architecture to analyses building performance. By using the as the evaluation benchmark values and project objectives and taking the most representative teaching buildings, libraries, and dormitory buildings in universities in northern China as examples, the study selects appropriate BIM software, establishes models in steps, and conducts targeted visual analysis. The purpose is to find out the commonness and difference through the analysis, and then realize that the diversity of building types in campus determines that the green performance research of different types of buildings should comprehensively consider various design factors. Results and conclusions: Taking a university library in northern China as an example, the study optimized it from four aspects: base environment, function layout, envelope performance and system transformation, and management measures improvement. The results show that the total annual cumulative energy consumption load of the scheme is reduced obviously. The conclusions are that the improvement of university buildings' green performance must be comprehensively carried out from the aspects of planning, building design, system design, energy management, and energy conservation planning. In the future, we also need to carry out energy consumption data mining, continue the energy-saving transformation of existing buildings and energy consumption systems, achieve the goal of green and low-carbon campus.


2019 ◽  
pp. 124-136
Author(s):  
Victor D. Gazman

The article considers prerequisites for the formation of a new paradigm in the energy sector. The factors that may affect the imminent change of leadership among the energy generation are analyzed. The variability of the projects of creation and functioning of power stations is examined. The focus is made on problematic aspects of the new generation, especially, storage and supply of energy, achieving a system of parity that ensures balance in pricing generations. The author substantiates the principles of forming system of parities arising when comparing traditional and new generations. The article presents the results of an empirical analysis of the 215 projects for the construction of facilities for renewable energy. The significance and direction of the impact of these factors on the growth in investment volumes of transactions are determined. The author considers leasing as an effective financial instrument for overcoming stereotypes of renewable energy and as a promising direction for accelerated implementation of investment projects.


Author(s):  
Rikito Hisamatsu ◽  
Rikito Hisamatsu ◽  
Kei Horie ◽  
Kei Horie

Container yards tend to be located along waterfronts that are exposed to high risk of storm surges. However, risk assessment tools such as vulnerability functions and risk maps for containers have not been sufficiently developed. In addition, damage due to storm surges is expected to increase owing to global warming. This paper aims to assess storm surge impact due to global warming for containers located at three major bays in Japan. First, we developed vulnerability functions for containers against storm surges using an engineering approach. Second, we simulated storm surges at three major bays using the SuWAT model and taking global warming into account. Finally, we developed storm surge risk maps for containers based on current and future situations using the vulnerability function and simulated inundation depth. As a result, we revealed the impact of global warming on storm surge risks for containers quantitatively.


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