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.
A comparative assessment of ventilative and mechanical cooling for residential zero energy buildings considering the future climate
In this study, a comparative assessment is performed between ventilation and mechanical cooling by assessing the performance of different design variants for different scenarios. This must help decision makers in the design process of residential buildings to achieve more future-proof zero energy houses. A methodology is proposed and applied to a case study building to compare the performance of both cooling strategies, and to find the most suitable strategies considering the future climate and various occupant scenarios.
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.
Performance indices and evaluation of algorithms in building energy efficient design optimization
Algorithms play a critical role in the effectiveness and efficiency of building energy efficient design optimizations. Stability, robustness, coverage, speed, validity, and locality indices are proposed in this study, to comprehensively evaluate the performance of optimization algorithms. Three commonly used optimization algorithms, namely HookeeJeeves, MOGA-II, and MOPSO, are selected for evaluation.
Concentrated Solar Power plant piping optimization for gaseous Heat Transfer Fluid
ModeFrontier software was exploited in the optimization of the peripheral portion of a CSP plant based on Airlight parabolic trough collectors, which were modeled in Simscape using a custom domain for gases with temperature dependent properties. A second step involved annual simulation of the plant which included the solar power radiation variation and the thermal energy storage models. MOGA and MOPSO algorithms were employed to maximize the total revenues of the plant.
Multi-objective optimization and sensitivity analysis of a cogeneration system for a hospital facility
In this study, a certain methodology has been used to conduct several analyses on the basis of the loads of a specific hospital facility and the study of the cogeneration system-user interaction. The plant configurations and management strategies analyzed in this work show substantial primary energy savings. A predictive analysis of this interaction was conducted using a simulative thermo-economic approach using modeFRONTIER.
CFD investigation of a Stirling engine flexi-fuel burner
In this study, 3D CFD combustion simulations are applied to an industrial Stirling engine combustion chamber at atmospheric pressure. In this kinetic optimization method, CHEMKIN software has been used to solve premixed flame equations, coupled with the optimization toolbox modeFRONTIER. The optimized mechanism consists of four global reactions.
A Parametric Optimization Approach to Mitigating the Urban Heat Island Effect A Case Study in Ancona, Italy
This research was conducted in order to identify the mutual dynamic relationships between different attributes of the urban morphology and meteorological parameters of a Mediterranean city. Analysis of the case study of Ancona, Italy allowed various city parameters to be tested for sustainability and their effectiveness in mitigating the urban heat island effect with the use of modeFRONTIER NSGA-II algorithm.
Application of the Mixed Integer Linearized Exergoeconomic (MILE) method with evolutionary optimization to a cogeneration and district heating system
This project aims to optimize a complex cogenerative system, which is a highly efficient form of energy conversion combining heat and power production (CHP). The problem was formulated as a bi-level linear programming problem using the commercial optimization software modeFRONTIER integrated with FICO® Xpress Optimization Suite.