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Developing the Model of Interconnected Power Grid and Evaluating the Competition of Distributed Systems According to Economical and Environmental Criteria
, M.Sc. Thesis Sharif University of Technology ; Saboohi, Yadollah (Supervisor)
Abstract
This report models the electricity supply network by means of the ESM software. In this model, the distribution company obtains its final users’ electricity demand from three sources: distributed generation plants owned by private sector, distributed generation plants owned by the distribution company and buying from electricity market (Over distribution network). According to the model, the optimum point of operating the network is a point with maximum profit, minimum waste and environmental effects. The optimum point of supply minimizes the network wastes to an optimum extent. In this model, the distribution company can supply the extra electricity to the electricity market, provided that...
Dynamic Optimal Modeling of Water and Energy Networks in Household and Industrial Sectors
, M.Sc. Thesis Sharif University of Technology ; Avami, Akram (Supervisor) ; Boroushaki, Mehrdad (Co-Advisor)
Abstract
Both resources have shaped the development of societies during the course of history. The increase in population, the growthe of middle-class societies, climate changes, economic development, health and environmental concerns, all play roles in magnifying or reducing the growing stresses on the vital resources of water and energy. Projections for water availability and quality, food and enrgy availability, soil and air quality are alarming. These alarms point to a major conclusion:’business as usual’ is no longer viable. Indeed, they call for a fundamental shift in the manner in which we understand and manage resources: a shift away from traditional approaches toward more integrative,...
Expansion Planning of Urban Gas & Electricity Infrastructures Considering Grid Interoperability
, M.Sc. Thesis Sharif University of Technology ; Rajabi Ghahnavieh, Abbas (Supervisor) ; Moeini Aghtaee, Moein (Co-Supervisor)
Abstract
The present work has proposed an integrated methodology for combined gas & electricity distribution network expansion planning, which considers network expansion constraints (substation installation, feeder/pipeline installation, etc), load growth, and conversion technologies. The planning aims to determine the optimal reinforcement of existing energy network to meet the load growth in the planning horizon. To take the advantages of new technologies, CHP, fuel cell, & microturbine have been included in the problem.This paper employs gravitational search algorithm (GSA) to solve multi-objective problem, including minimization of cost, voltage drop, & pressure drop. GSA that introduced in...
Development of An Agent-based Framework For Optimization of Water and Energy Network Structure
, Ph.D. Dissertation Sharif University of Technology ; Bozrogmehry Boozarjomehry, Ramin (Supervisor) ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
Information and Communication Technology and Artificial Intelligence (AI) can support the transition from traditional practices toward smart supply chain coordination schemes. Such a direction allows for integrating organizational levels of natural gas transportation enterprises, comprising Location, Inventory, and Routing Problem (LIRP) decisions. Specific works have investigated the LIRP of natural gas-to-product and energy networks. However, due to the absence of a systematic ICT-assisted mindset, no study has been oriented from the perspective of the dynamic inventory management and geographic data-driven features of land resources. To handle these challenges, this study partially...
Modeling and optimization of a network of energy hubs to improve economic and emission considerations
, Article Energy ; Volume 93 , December , 2015 , Pages 2546-2558 ; 03605442 (ISSN) ; Elkamel, A ; Fowler, M ; Sattari, S ; Roshandel, R ; Hajimiragha, A ; Walker, S ; Entchev, E ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
Energy hubs that incorporate a variety of energy generation and energy transformation technologies can be used to provide the energy storage needed to enable the efficient operation of a ‘smart energy network’. When these hubs are combined as a network and allowed to exchange energy, they create efficiency advantages in both financial and environmental performance. Further, the interconnectedness of the energy network design provides an added layer of reliability. In this paper, a complex network of energy hubs is modeled and optimized under different scenarios to examine both the financial viability and potential reduction of greenhouse gas emissions. Two case studies consisting of two and...
Development of the energy hub networks based on distributed energy technologies
, Article Simulation Series, 26 July 2015 through 29 July 2015 ; Volume 47, Issue 10 , 2015 , Pages 216-223 ; 07359276 (ISSN) ; Elkamel, A ; Sattari Khavas, S ; Fowler, M ; Roshandel, R ; Elsholkami, M ; Sharif University of Technology
The Society for Modeling and Simulation International
2015
Abstract
In this paper the creation of multiple energy hubs that make up a complex energy network are modeled and optimized for a selection of six scenarios to examine both their financial viability and potential reduction of greenhouse gas emissions. As a proposed case study scenario for the model, three energy hubs are considered: a 'residential complex (RC)', a 'commercial shopping plaza (CS)', and a 'school (S)'. The use of combined heat and power systems, solar photovoltaic, solar collectors and network interaction are also examined for their impact on efficiency and cost. The modeling is undertaken and carried out by General Algebraic Modeling System (GAMS). It is shown that cost can be reduced...
Mixed integer linear programing based approach for optimal planning and operation of a smart urban energy network to support the hydrogen economy
, Article International Journal of Hydrogen Energy ; Volume 41, Issue 19 , 2016 , Pages 7700-7716 ; 03603199 (ISSN) ; Fowler, M ; Sattari Khavas, S ; Elkamel, A ; Roshandel, R ; Hajimiragha, A ; Sharif University of Technology
Elsevier Ltd
2016
Abstract
The future of urban energy systems relies on the transition to "smart energy networks" which incorporate energy storage with renewable energy sources such as wind and solar. Hydrogen provides a desirable energy vector for both energy storage and exchange of energy between energy hubs within a smart energy network. This paper aims to develop a generic mathematical model for the optimal energy management of future communities where hydrogen is used as an energy vector. An energy hub is a novel concept that systematically and holistically considers the energy requirements of both mobility and stationary loads. In order to perform optimization studies, the minimization of capital cost of...
Optimal utility-energy tradeoff in delay constrained random access networks
, Article 2009 IEEE International Conference on Communications, ICC 2009, Dresden, 14 June 2009 through 18 June 2009 ; 2009 ; 05361486 (ISSN); 9781424434350 (ISBN) ; Hossein Khalaj, B ; Shah Mansouri, H ; Sharif University of Technology
2009
Abstract
Rate, energy and delay are three main parameters of interest in ad-hoc networks. In this paper, we discuss the problem of maximizing network utility and minimizing energy consumption while satisfying a given transmission delay constraint for each packet. We formulate this problem in the standard convex optimization form and subsequently discuss the tradeoff between utility, energy and delay in such framework. Also, in order to adapt for the distributed nature of the network, a distributed algorithm where nodes decide on choosing transmission rates and probabilities based on their local information is introduced. ©2009 IEEE
A fuzzy energy-based extension to AODV routing
, Article 2008 International Symposium on Telecommunications, IST 2008, Tehran, 27 August 2008 through 28 August 2008 ; 2008 , Pages 371-375 ; 9781424427512 (ISBN) ; Amintoosi, H ; Movaghar, A ; Sharif University of Technology
IEEE Computer Society
2008
Abstract
Ad hoc wireless networks are power constrained since nodes operate with a limited battery energy. To maximize the lifetime of these networks, transactions through mobile nodes must be controlled such that the power dissipation rates of all nodes are rarely the same. This paper presents a fuzzy extension to Ad hoc On demand Distance Vector routing protocol with power considerations. The path selected by conventional AODV routing protocol is not the optimal path because AODV selects the first path that has been found which is not necessarily the best. Routing optimality affects the network performance, especially when the load is high. Longer route consumes more bandwidth, produces more delay,...