ISEP – GECAD – Comunicações em eventos científicos
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Browsing ISEP – GECAD – Comunicações em eventos científicos by Author "Abrishambaf, Omid"
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- Aggregation of Consumers Participation in the Ramping of a Demand Response EventPublication . Abrishambaf, Omid; Faria, Pedro; Vale, ZitaAs the global population is daily soaring, the need for electrical energy is also increasing. This makes the role of the power distribution network more tangible, as the efficiency of all sectors should be increased. The need for smart management and strategic planning, such as demand response programs are obvious in the context. This paper proposes an aggregator model that employs DR programs for managing the network balance. In this model, a specific analysis has been provided for the ramp period and demand response timeline to show the financial behaviors of the aggregator. In the case study of the paper, two demand response events are proposed using actual consumption profiles and a cost comparison has been presented using various pricing schemes. The results remark the costs related to the ramp period before the event and show how such costs are important in daily electricity expenses of the aggregator model.
- An Optimization Algorithm for Cost Minimization in Residential BuildingsPublication . Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Abrishambaf, Omid; Vale, ZitaThe increment of the electricity consumption around the world has led many efforts on the network operators to reduce the consumption in the demand side and encourage to increase the use of renewable energies. Since the buildings have a significant part in energy consumption, and lighting systems have an important role in the energy consumption of the buildings, the optimization of the lighting system should be effective. Hence, the focus of this paper is to minimize the lamps consumption of a residential house based on electricity price and try to take advantages from photovoltaic generation as much as possible. The methodology of this work is proposed as a linear optimization problem that manages the generation of a renewable energy resource, which supplies a part of the energy consumption of the house. For the case studies, the amount of the renewable energy generation, total consumption of building, consumption of the lights, and electricity price are considered.
- Application of a Home Energy Management System for Incentive-Based Demand Response Program ImplementationPublication . Abrishambaf, Omid; Fotouhi Ghazvini, Mohammad Ali; Gomes, Luis; Faria, Pedro; Vale, Zita; Corchado, Juan M.This paper presents an experimental real-time implementation of an incentive-based demand response program with hardware demonstration of a home energy management system. This system controls the electricity consumption of a residential electricity customer. For this purpose, the real consumption and generation profiles of a typical Portuguese household equipped with a home-scale photovoltaic system are employed. These profiles are simulated by the real-time digital simulator using real hardware resources. In the case studies, three different scenarios are simulated for a period of 24 hours with the consideration of the demand response programs and a 2 kW photovoltaic system. Different pricing scenarios are considered and the performance of the home energy management system is evaluated under each scenario. The focus is given to demonstrate how a home-scale photovoltaic system, and demand response programs, especially load-shifting scenario, can be cost-effective in the daily electricity costs of the residential customers.
- Applying real-time pricing for wind curtailment scenario using D2RD module of TOOCCPublication . Teixeira, Brígida; Faria, Pedro; Abrishambaf, Omid; Vale, ZitaMulti-agent systems are widely used tools to simulate and study the energy sector because of their distributed architecture. There are several simulator tools available in literature, however, much of these prove to be very domain specific. The emergence of the Tools Control Center tool allows these simulators to cooperate in order to solve more comprehensive problems and more complex scenarios. This paper presents a module of this tool known as Demand Response Registration Digital, which allows the study of the model and programs of Demand Response. To understand the operation of this module, an example is given considering a wind curtailment scenario.
- CO2 Concentration Forecasting in an Office Using Artificial Neural NetworkPublication . Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Abrishambaf, Omid; Vale, Zita; Soares, JoãoUncertainty is the state of all operation, components, and objective environment that makes impossible to describe the existing state. Forecasting techniques are essential in the field of knowledge development to overcome the uncertainty to increase the efficiency of all systems. In this paper, artificial neural network algorithm is applied to forecast the CO2 concentration in an office building. The algorithm is implemented in Rstudio software using neural net package. The case study of the paper presents two scenarios with different input data to propose the impacts of train data on forecasting algorithms results. The used dataset in the case study is real data that have been monitored for 2 years. The obtained results of algorithms show the predicted values of CO2 concentration in one office for 600 minutes of a working day. The mean percentage error means absolute percentage error, and standard deviation of predicted data for both scenarios are presented in results section.
- Consumption Optimization of an Office Building using Different ApproachesPublication . Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Abrishambaf, Omid; Vale, ZitaDue to the increment of electricity demand in different types of buildings, the methods of energy optimization are important. Lighting systems play a key role in the electricity consumption since they are appropriate for use in optimization purposes. There are several approaches for solving optimization problems, so several simulations should be performed in order to identify the best approach. This paper focuses on three optimization approaches in order to solve an optimization problem developed for the lighting system of an office building. The optimization methodologies are particle swarm optimization as a heuristic method and OMPR and Lpsolve as two deterministic methods. A case study is presented in order to evaluate and compare the performance of the methods and identify the most suitable approach for the lighting optimization problem in the office building.
- Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing SchemesPublication . Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Abrishambaf, Omid; Vale, ZitaAdvancement of renewable energy resources, development of smart grids, and the effectiveness of demand response programs, can be considered as solutions to deal with the rising of energy consumption. However, there is no benefit if the consumers do not have enough automation infrastructure to use the facilities. Since the entire kinds of buildings have a massive portion in electricity usage, equipping them with optimization-based systems can be very effective. For this purpose, this paper proposes an optimization-based model implemented in a Supervisory Control and Data Acquisition, and Multi Agent System. This optimization model is based on power reduction of air conditioners and lighting systems of an office building with respect to the price-based demand response programs, such as real-time pricing. The proposed system utilizes several agents associated with the different distributed based controller devices in order to perform decision making locally and communicate with other agents to fulfill the overall system’s goal. In the case study of the paper, the proposed system is used in order to show the cost reduction in the energy bill of the building, while it respects the user preferences and comfort level.
- Economic Impact of an Optimization-Based SCADA Model for an Office BuildingPublication . Khorram Ghahfarrokhi, Mahsa; Faria, Pedro; Abrishambaf, Omid; Vale, ZitaThe daily increment of electricity usage has led many efforts on the network operators to reduce the consumption in the demand side. The use of renewable energy resources in smart grid concepts became an irrefutable fact around the world. Therefore, real case studies should be developed to validate the business models performance before the massive production. This paper surveys the economic impact of an optimization-based Supervisory Control And Data Acquisition model for an office building by taking advantages of renewable resources for optimally managing the energy consumption. An optimization algorithm is developed for this model to minimize the electricity bill of the building considering day-ahead hourly market prices. In the case study, the proposed system is employed for demonstrating electricity cost reduction by using optimization capabilities based on user preferences and comfort level. The results proved by the performance of the system, which leads to having great economic benefits in the annual electricity cost.
- Economic Survey on a Community of Prosumers and Distributed GenerationsPublication . Abrishambaf, Omid; Haux, Sonja; Faria, Pedro; Vale, Zita; Starzacher, NikolausThe use of demand response programs and distributed renewable energy resources play an important role in nowadays electricity markets. Most of the demand response programs are performed for large-scale resources. This is a barrier for the small and medium scale consumers, producers, and prosumers in order to participate in the electricity market negotiations. To overcome this barrier, a third-party entity, such as community or an aggregator, should play a role an intermediate player between the end-users and network operators. However, before the implementation of the business models, they should be well surveyed in term of economic and financial profits in order to prevent future problems. This paper proposes an economic survey on a community of the consumers and distributed generations, considering different pricing schemes. The community consists of residential, commercial, and industrial consumers as well as photovoltaic and wind turbines. In this survey, the annual costs of this community are investigated considering the current pricing schemes in two countries of Portugal and Germany.
- Electric Water Heater Modelling for Direct Load Control Demand ResponsePublication . Ahmed, MT; Faria, Pedro; Abrishambaf, Omid; Vale, ZitaHome Energy Management System creates the scopes to small household electrical appliances users to participate in the demand response programs. Among several load controllable electrical household appliances water heater is more suitable. Integration of water heater is considered to manage the demand response events that can contribute to smart grid technology. This paper represents a thermodynamic load model for a water heater, which is considered as to be controlled through direct load control for demand response program. The daily electricity consumption and temperature profile of the heater is also considered, the direct load control method is activated to the heater as soon as the energy consumption reaches to 1 kW, with the effects the device is turned off for next one hour. In results, it gained a significant reduction in the electricity consumption for the users without making any discomfort as temperature does not reduce to disruption level. Real time electricity pricing is also compared which implied financial benefit to the consumers. The result exhibit that the method applied to this heater can contribute and participate in the demand response events.
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