A methodology for performance robustness assessment of low-energy
Uncertainties in building operation and external factors such as occupant behavior, climate change, policy changes etc. impact building performance, resulting in possible performance deviation during operation compared to the predicted performance in the design phase. The probability of occurrences of these uncertainties are usually unknown and hence, scenarios are essential to assess the performance robustness of buildings.
Optimization of a Brazilian FPSO Fuel Consumption for Petroleum Composition with Maximum Oil and Gas Content Using Genetic Algorithm Method
Considering the relevance of the FPSO (Floating, Production, Storage and Offloading) for Brazilian petroleum market, the main goal of this project is to provide an optimization procedure on Primary Petroleum Platform operating under maximum oil/gas composition of the crude oil configuration, based on coupling of thermodynamic modeling and optimization method.
Prediction of flammability limits for ethanol-air blends by the Kriging regression model and response surfaces
Flammability limits must be identified in order to assess and control handling risks of particular processes according to combustion product composition and environmental conditions. The present paper aims to present a model that can predict flammability limits for ethanol-air blends with at different moisture concentrations by Kriging interpolation techniques.
Multidisciplinary optimization of the thermal and structural model of a building
Building energy performance largely depends on facade design and local weather characteristics. modeFRONTIER has been used - together with Rhino/Grasshopper plugin - to maximize winter radiation and minimize structural mass of a office building floor located in Toronto, Canada.
Optimization of a dish stirling system working with DIR-type receiver using multi-objective techniques
Multi-objective optimization based on NSGA-II algorithm has been employed to optimize the power and the efficiency of the system, by means of integration of Dish Stirling mathematical model in modeFRONTIER.
Novel cost effective configurations of combined power plants for smalls scale cogeneration from biomass design of the particle heat exchanger
A general design procedure have been developed for the application of the Immersed Particle Heat Exchanger to a novel, small scale, externally fired combined cycle capable of generating electrical and thermal power from carbon-neutral biomass. The Immersed Particle Heat Exchanger serves as the high temperature heat exchanger needed to couple the Brayton cycle with an external combustor of biom
Multi-parameter Optimization of Double-Loop Fluidized Bed Solar Reactor for Thermochemical Fuel Production
The design of a double-loop fluidized bed solar reactor, capable to develop a thermo-chemical two-step cycle to produce CO, has been optimized to reach the highest values of global efficiency.
Multi-objective Optimization of a V6 3.0L diesel engine under different operative conditions
This study couples optimizer modeFRONTIER and GT-SUITE in the configuration of an engine model. The aim is to improve performance over a wide range of operating conditions including full load, part load and transient maneuvers. The choice of the final optimum has been made thanks to the MCDM tool.
Multi-objective Optimization of a Data Center Modeling Using Response Surface
In the present paper, a multi-objective optimization process that utilizes a Genetic Algorithm is used in a response surface methodology based on radial basis function, with the aim of significantly reducing the engine running time of a model data center. A range of the design parameters is optimized to search for the best combinations that satisfy both of the two objectives.
Multi-objective optimization of a bottoming Organic Rankine Cycle (ORC) of gasoline engine using swash-plate expander
In this paper, a thermo-economic model of the ORC system coupled to a gasoline engine is presented. This model is based on energy balances and economic criteria of the different components of the ORC system. The main objective of this work is to evaluate this thermo-economic model as a tool to optimize a multiobjective problem using a Genetic Algorithm.