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Multi objective planning for sustainable retrofit of educational buildings
, Article Journal of Building Engineering ; Volume 24 , 2019 ; 23527102 (ISSN) ; Aramoun, F ; Bararzadeh, M ; Avami, A ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
The sustainable retrofit options may significantly improve the energy consumption and the environmental impacts of the existing buildings. This paper presents a multi objective optimization framework to reach the minimum economic costs and Global Warming Potential (GWP) impact of existing buildings. New energy-efficient technologies for the supply side of the energy system are considered which may minimize life cycle environmental impacts of buildings. Two educational buildings in the campus of Sharif University of Technology are studied. The results show that utilizing reciprocating engine and exhaust-fired absorption chiller reduce the GWP to 133 tons (17.79% of reduction) and 190 tones...
Minimization Of of Environmental Impacts Of of Educational Buildings Using Life Cycle Analysis . A a Case Study: Building Of of Energy Engineering Faculty
, M.Sc. Thesis Sharif University of Technology ; Avami, Akram (Supervisor)
Abstract
Today, building sectors account for 34% of total energy consumption in Iran. Increasing demand of the comfort level along with population growth necessitates much more attention about energy requirements in the country. Such phenomenon has already raised concerns about the heavy environmental impacts. The present research studies minimization of global warming potential effect for an educational building by developing life cycle optimization model. The Department of Engineering of Sharif University of Technology is selected as the case study and optimal solutions has been achieved for this building. Results state that implementing cogeneration and renewable energies can reduce20 -25% of the...
Development of a Demand Side Management Model for an Educational Building
, M.Sc. Thesis Sharif University of Technology ;
Abstract
Building sector is one of the largest energy conumers by being responsible for 40% of final energy consumption worldwide. In Iran, buildings consume around 32.5% of natural gas and 51.6% of generated electricity which is a significant portion of national energy system. Energy management consists of solutions which minimise energy consumption of a building while maintaining comfort conditions. The present research studies energy management solutions under a short–term model for an educational building using Energy-Plus software. The Department of Energy Engineering of Sharif University of Technology is selected as the case study and the optimal solutions has been achieved for this building....
Optimisation of Energy Flow Model for an Educational Building
, M.Sc. Thesis Sharif University of Technology ; Saboohi, Yadollah (Supervisor) ; Roshandel, Ramin (Supervisor)
Abstract
Increase in energy consumed by buildings, which constitute about 40% of the global final energy consumption and their respective contribution to CO2 emmission has led the building owners and users toward using on–site energy production systems and especially clean energy sources. The present research aims to find the optimal solution to the building energy supply problem under current and other possible circumstances. Energy Engineering Department of Sharif University of Technology has been selected in representation of educational buildings in Iran for case study. ESM software which is based on the MESSAGE model has been used as the modeling tool. Results state that under the current...
Multi objective receding horizon optimization for optimal scheduling of hybrid renewable energy system
, Article Energy and Buildings ; Volume 150 , 2017 , Pages 583-597 ; 03787788 (ISSN) ; Roshandel, R ; Sharif University of Technology
Abstract
In this paper, a methodology for energy management system (EMS) based on the multi-objective receding horizon optimization (MO-RHO) is presented to find the optimal scheduling of hybrid renewable energy system (HRES). The proposed HRES which is experimentally installed in educational building comprising the PV panels, wind turbine, battery bank and diesel generator as the backup system. The data acquisition system provides input profiles for receding horizon optimizer. A mixed-integer convex programing technique is used to achieve the optimal operation regarding to two conflicting operation objectives including diesel fuel cost and battery wear cost. The Pareto frontiers are presented to...