Multi-objective simulation-based optimization of controlled blind specifications to reduce energy consumption, and thermal and visual discomfort: Case studies in Iran

2020 ◽  
Vol 169 ◽  
pp. 106570 ◽  
Author(s):  
Ehsan Naderi ◽  
Behrang Sajadi ◽  
Mohammadali Akhavan Behabadi ◽  
Erfan Naderi
Keyword(s):  
Energy Consumption ◽  
Case Studies ◽  
Visual Discomfort ◽  
Multi Objective ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Reduce Energy Consumption

scholarly journals Towards assessing buildability in wood framed, superinsulated wall assemblies.

2021 ◽  
Author(s):  
Nicholas P. Erb
Keyword(s):  
Energy Consumption ◽  
North America ◽  
Case Studies ◽  
Local Context ◽  
Saving Energy ◽  
Passive House ◽  
Building Science ◽  
Reduce Energy Consumption

A superinsulated home has many attractive attributes including reducing CO2, saving energy and smaller energy bills. The Passive House certification—which originated in Europe—proves that superinsulating is an effective way to reduce energy consumption. As the popularity of superinsulation grows in North America, the need to assess the buildability of these structures increases. This MRP identifies six metrics of buildability for wood framed, superinsulated walls and creates a tool which can be used to assess the buildability of these assemblies. The tool will assess a specific set of working drawings in their local context. The tool is simple to use, assuming that the user has an understanding of the basics of building science and an understanding of the capabilities of the local trades and the local availability of materials. The initial tool was tested by identifying the strengths and weaknesses of a series of case studies for most of the metrics. A revised tool is proposed which has been refined to address the shortcomings of the initial tool.

scholarly journals Simulation-Based Optimization of Hybrid Renewable Energy System for Off-grid Rural Electrification

2021 ◽  
Vol 10 (4) ◽  
pp. 667-686
Author(s):  
Akinola Sunday Oladeji ◽  
Mudathir Funsho Akorede ◽  
Salihu Aliyu ◽  
Abdulrasaq Apalando Mohammed ◽  
Adebayo Wahab Salami
Keyword(s):  
Renewable Energy ◽  
Rural Areas ◽  
Energy System ◽  
Renewable Energy Resources ◽  
Multi Objective ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Hybrid Renewable Energy

There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER®) optimization software. The developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE ($0.444/kWh) and LLPI (0.000880) obtained from the HOMER® optimization tool. Also, the LCOE with the proposed approach was calculated at $0.417/kWh, which is lower than the $0.444/kWh obtained from HOMER®. From environmental perspective, it is found that while 141,370.66 kg of CO2 is saved in the base year, 183,206.51 kg of CO2 is saved in the ninth year.The study concluded that the approach is computationally efficient and performed better than HOMER® for this particular problem.The proposed approach could be adopted for carrying out feasibility studies and design of HRES for Off-Grid electrification, especially in the rural areas where access to the grid electricity is limited

scholarly journals A Simulation-Based Multi-Objective Optimization Design Method for Pump-Driven Electro-Hydrostatic Actuators

Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 274 ◽  
Author(s):  
Longxian Xue ◽  
Shuai Wu ◽  
Yuanzhi Xu ◽  
Dongli Ma
Keyword(s):  
Energy Consumption ◽  
Design Method ◽  
Dynamic Stiffness ◽  
Control Surface ◽  
Design Parameters ◽  
Design Phase ◽  
Multi Objective Optimization ◽  
Python Script ◽  
Multi Objective ◽  
Simulation Based

A pump-driven actuator, which usually called an electro-hydrostatic actuator (EHA), is widely used in aerospace and industrial applications. It is interesting to optimize both its static and dynamic performances, such as weight, energy consumption, rise time, and dynamic stiffness, in the design phase. It is difficult to decide the parameters, due to the high number of objectives to be taken into consideration simultaneously. This paper proposes a simulation-based multi-objective optimization (MOO) design method for EHA with AMESim and a python script The model of an EHA driving a flight control surface is carried out by AMESim. The python script generates design parameters by using an intelligent search method and transfers them to the AMESim model. Then, the script can run a simulation of the AMESim model with a pre-set motion and load scenario of the control surface. The python script can also obtain the results when the simulation is finished, which can then be used to evaluate performance as the objective of optimization. There are four objectives considered in the present study, which are weight, energy consumption, rise time, and dynamic stiffness. The weight is predicted by the scaling law, based on the design parameters. The performances of dynamic response energy efficiency and dynamic stiffness are obtained by the simulation model. A multi-objective particle swarm optimization (MOPSO) algorithm is applied to search for the parameter solutions at the Pareto-front of the desired objectives. The optimization results of an EHA, based on the proposed methodology, are demonstrated. The results are very useful for engineers, to help determine the design parameters of the actuator in the design phase. The proposed method and platform are valuable in system design and optimization.

Sign in / Sign up

Export Citation Format

Share Document