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Efficiency-based Pareto Optimization of Building Energy Consumption and Thermal Comfort:A Case Study of a Residential Building in Bushehr,Iran

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Journal of Thermal Science 2024年第3期33卷 1037-1054页

作者： Masoud NASOURI navid delgarm Department of Environment University of TehranAras International CampusP.O.Box ***TehranIran Department of Mechanical and Aerospace Engineering Malek-Ashtar University of TechnologyP.O.Box 83145/115IsfahanIran

In Iran,the intensity of energy consumption in the building sector is almost 3 times the world average,and due to the consumption of fossil fuels as the main source of energy in this sector,as well as the lack of optimal design of buildings,it has led to excessive release of toxic gases into the *** research develops an efficient approach for the simulation-oriented Pareto optimization(SOPO)of building energy efficiency to assist engineers in optimal building design in early design *** this end,EnergyPlus,as one of the most powerful and well-known whole-building simulation programs,is combined with the Multi-objective Ant Colony Optimization(MOACO)algorithm through the JAVA programming *** a result,the capabilities of JAVA programming are added to EnergyPlus without the use of other plugins and third *** evaluate the effectiveness of the developed method,it was performed on a residential building located in the hot and semi-arid region of *** obtain the optimum configuration of the building under investigation,the building rotation,window-to-wall ratio,tilt angle of shading device,depth of shading device,color of the external walls,area of solar collector,tilt angle of solar collector,rotation of solar collector,cooling and heating setpoints of heating,ventilation,and air conditioning(HVAC)system are chosen as decision ***,the building energy consumption(BEC),solar collector efficiency(SCE),and predicted percentage of dissatisfied(PPD)index as a measure of the occupants'thermal comfort level are chosen as the objective *** single-objective optimization(SO)and Pareto optimization(PO)are *** obtained results are compared to the initial values of the basic *** optimization results depict that the PO provides optimal solutions more reliable than those obtained by the SOs,owing to the lower value of the deviation ***,the optimal solutions extracted through the PO are depicted in the

关键词： building energy consumption thermal comfort collector efficiency simulation-oriented pareto optimization

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Investigating the Role of Bushehr Nuclear Power Plants(BNPPs)in Line with Achieving the Perspective of Sustainable Energy Development in Iran

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Journal of Thermal Science 2022年第5期31卷 1392-1406页

作者： NASOURI Masoud delgarm navid Department of Environment Aras International CampusUniversity of TehranTehran***Iran Department of Mechanical Engineering Malek-Ashtar University of TechnologyIsfahan83145/115Iran

In line with achieving the outlook of Sustainable Energy Development(SED),Iran intends to increase the share of clean power to at least 8%of the country’s capacity by the end of *** research aims to investigate the role and share of Bushehr Nuclear Power Plants(BNPP-1,2,3)in achieving the SED perspective of Iran,which has never been examined so *** this connection,the comparative analyses of various power plants(PPs)of Iran including nuclear,fossil fuel,biomass,wind,solar thermal,photovoltaic,geothermal,and hydro PPs are carried out and *** main indicators of SED such as Levelized Cost of Electricity(LCOE)metric,grid-level system cost,investment cost,external cost,average CO_(2) equivalent emission,ecosystem impact,required land area,required water,preservation of natural resources,human health,created jobs,international cooperation,social acceptance and Corporate Social Responsibility(CSR),and energy-water hub are thoroughly *** statistical data used in the present study are extracted based on the authors’experiences gained during the construction,operation and maintenance(O&M)of BNPP-1,the energy-environment balance sheets of Iran,as well as the design documents of ***,the gathered data are evaluated using MatLab programing language and analyzed in terms of comparative *** evaluations of BNPP-1 performance within the framework of SED indicate that BNPP-1 has little effect on ecosystems and is among the lowest greenhouse gases emitters compared to other Iran’s PPs so that it annually prevent the release of 0.7 million tonnes of carbon,SO_(x),and NO_(x) compared to a gas-fired ***,the cost analysis shows that the external cost of BNPP-1 is nearly zero and the grid-level cost is approximately 3 USD/(MW·h)which is much lower than that for renewable *** per the LCOE metric and the cost of fuel supply,BNPP-1 is cost-competitive with other Iran’s *** nuclear fuel cost of BNPP-1 is nearly 49 million USD per

关键词： BNPP Sustainable Energy Development(SED) economic social environment

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Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony(ABC)

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建筑节能(中英文) 2016年第11期 75-75页

作者： navid delgarm Behrang Sajadi Saeed delgarm 侯恩哲《建筑节能》杂志社

The aim of this paper is to present a powerful simulation-based multi-objective optimization of building energy efficiency and indoor thermal comfort to obtain the optimal solutions of the comfort-energy efficient configurations of building envelope. The optimization method is developed by integrating a multi-objective artificial bee colony(MOABC) optimization algorithm implemented in MATLAB with EnergyP lus building energy simulation tool. The proposed optimization approach is applied to a single office room; and the building parameters, including the room rotation, window size, cooling and heating setpoint temperatures, glazing and wall material properties are considered as decision variables. In the present study, single-objective and multi-objective optimization analyses of the total annual building electricity consumption and the Predicted Percentage of Dissatisfied(PPD)are investigated to bring down the total energy cost as well as the thermal discomfort in four major climate regions of Iran, i.e. temperate, warm-dry, warm-humid and cold ones. In the results part,the achieved optimal solutions are presented in the form of Pareto fronts to reveal the mutual impacts of variables on the building energy consumption and the thermal discomfort. Finally, the ultimate optimum solution on the Pareto fronts are selected by TOPSIS decision-making method and the results of double-objective minimization problem are compared with the single-objective ones as well as the base design. The results of double-objective optimization problem indicate that in different climates, even though the total building electricity consumption increases a bit about2.9-11.3%, the PPD significantly decreases about 49.1-56.8%compared to the baseline model. In addition, the comparisons of single-objective and double-objective optimization approaches clearly show that multi-objective optimization methods yield more appropriate results respect to the single ones, mainly because of the lower deviati

关键词： Simulation-based optimization Building energy performance Thermal comfort EnergyPlus Artificial bee colony(ABC) Technique for order of preference by similarity to ideal solution(TOPSIS)

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