Search results for "Energy Management"
showing 10 items of 114 documents
Adaptive Energy Management Strategy for Optimal Power Flow Control of Hybrid DC Microgrid
2020
In this work, an adaptive energy management strategy (AEMS) is proposed to achieve the optimal power flow control of off grid connected hybrid DC Microgrid (MG) against time varying source and load dynamics. The hybrid DC MG considered in this paper is operating with a solar PV array and mini hydro power plant (MHPP) as power dispatching sources. The intermittent input dynamics of solar PV system and time varying load power dynamics results in power fluctuations of hybrid DC MG. The MHPP cannot regulate these power fluctuations instantly due its operating dynamics. Therefore, AEMS has deployed a hybrid energy storage system (HESS) comprising battery and supercapacitor storage devices for co…
Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System
2018
The envisaged decarbonization of the European power system introduces complex techno-economic challenges to its operation and development. Demand flexibility can significantly contribute in addressing these challenges and enable a cost-effective transition to the low-carbon future. Although extensive previous work has analyzed the impacts of residential and commercial demand flexibility, the respective potential of the industrial sector has not yet been thoroughly investigated despite its large size. This paper presents a novel, whole-system modeling framework to comprehensively quantify the potential economic benefits of flexible industrial demand (FID) for the European power system. This …
BEGIN: Big Data Enabled Energy-Efficient Vehicular Edge Computing
2018
Vehicular edge computing is essential to support future emerging multimedia-rich and delay-sensitive applications in vehicular networks. However, the massive deployment of edge computing infrastructures induces new problems including energy consumption and carbon pollution. This motivates us to develop BEGIN (Big data enabled EnerGy-efficient vehIcular edge computiNg), a programmable, scalable, and flexible framework for integrating big data analytics with vehicular edge computing. In this article, we first present a comprehensive literature review. Then the overall design principle of BEGIN is described with an emphasis on computing domain and data domain convergence. In the next section, …
Power Losses Minimization for Optimal Operating Maps in Power-Split HEVs: A Case Study on the Chevrolet Volt
2021
The power-split architecture is the most promising hybrid electric powertrain. However, a real advantage in energy saving while maintaining high performance can be achieved only by the implementation of a proper energy management strategy. This requires an optimized functional design before and a comprehensive analysis of the powertrain losses after, which could be rather challenging owing to the constructive complexity of the power-split transmission, especially for multi-mode architecture with multiple planetary gearing. This difficulty was overcome by a dimensionless model, already available in the literature, that enables the analysis of any power-split transmission, even in full electr…
A Tool for Energy Management and Cost Assessment of Pumps in Waste Water Treatment Plants
2017
Waste Water Treatment Plants (WWTPs) are generally considered energy intensive. Substantial energy saving potentials have been identified by several authors. Pumps consume around 12% of the overall WWTP energy consumption. In this paper we propose a methodology that uses the sensors commonly installed in WWTPs, such as volume and energy sensors, to perform energy benchmarking on pumps. The relationship between energy efficiency and flow rate is used to detect specific problems, and potential solutions are proposed, taking into consideration economical and environmental criteria (cost of externalities in energy production). The methodology integrates energy benchmarking, data-mining, and eco…
Modeling and Coordination of interconnected microgrids using distributed artificial intelligence approaches
2019
As renewable sources penetrate the current electrical system to relief global warming and energy shortage, microgrid (MG) emerges to reduce the impact of intermittent generation on the utility grid. Additionally, it improves the automation and intelligence of the power grid with plug-and-play characteristics. Inserting more MGs into a distribution network promotes the development of the smart grid. Thus MG networks existing in the power system are in prospect. Coordinating them could gain a system with high reliability, low cost, and strong resistance to electrical faults. Achieving these profits relies on developed technologies of communication, control strategy, and corresponding algorith…
Humanities and Social Sciences. Latvia: Vol. 29, N 1 (Spring-Summer 2021)
2021
Modelling of Compressors in an Industrial CO $$_2$$ -Based Operational Cooling System Using ANN for Energy Management Purposes
2019
Large scale cooling installations usually have high energy consumption and fluctuating power demands. There are several ways to control energy consumption and power requirements through intelligent energy and power management, such as utilizing excess heat, thermal energy storage and local renewable energy sources. Intelligent energy and power management in an operational setting is only possible if the time-varying performance of the individual components of the energy system is known. This paper presents an approach to model the compressors in an industrial, operational two-stage cooling system, with CO\(_2\) as the working fluid, located in an advanced food distribution warehouse in Norw…
Predictive Model of Energy Consumption of a Home
2020
The usage of the renewable energy sources and electric vehicles is rising which might result in a problem with the energy grid stabilization. Some works state that buildings contribute to the overall energy consumption by 20–40% which makes them a great subject to study. Finding solutions for better energy management can have a significant impact on the energy sector. This work focuses on proposing a simplified model of a home considering main appliances, heating and cooling, a photovoltaic system, an electric vehicle and weather and solar irradiance forecasts. The model is created in MATLAB as a simulation script with defined parameters. It uses a 5 day weather forecast to predict energy d…
Multi-Agent Based Energy Management in Microgrids Using MACSimJX
2019
Excessive growth in electricity consumption has been experienced over the past few years due to an increase in population around the world.This tends to increase the use of renewable energy and randomness of the load. So.it is important to improve the traditional methodologies and techniques applied on microgrid to make it more intelligent. In this paper, multi agent system is employed over autonomous microgrid framework to endorse its intelligence. The Multi-Agent system is simulated in Java Agent Development Environment (JADE) environment and matlab toolbox Simulink is used for the implementation of the microgrid model. Further, MACSimJX is used to communicate between the micro grid and a…