VIMSEN — New energy management tool for RES aggregators

Author(s):  
Ganesh Sauba ◽  
Jos van der Burgt ◽  
Manos Varvarigos ◽  
Prodromos Makris ◽  
Ioannis Mamounakis ◽  
...  
2015 ◽  
Vol 6 (1) ◽  
pp. 95 ◽  
Author(s):  
Adriana Marcela Vega ◽  
Francisco Santamaria Piedrahita ◽  
Edwin Rivas Trujillo

Se propone una aproximación conceptual de un modelo de gestión de energía en el hogar, denominado GEDE (Gestión de Energía Eléctrica Domiciliaria), el cual tiene como fin principal contribuir con la eficiencia energética domiciliaria; el modelo involucra protocolos de comunicación, infraestructura y software como herramienta de gestión para la toma de decisiones energéticas, relacionadas con el consumo y/o generación de energía eléctrica por parte del usuario final residencial.Home energy management model: preliminary proposalAbstract A conceptual approach of a home energy management model called GEDE (acronym in Spanish), which mainly aims at contributing to the domiciliary energy efficiency is proposed; The model involves communication protocols, infrastructure and software as a management tool for making energy decisions related to consumption and / or generation of electricity from the residential end user.Keywords: domotic, monitoring, protocols, home management, software.


Author(s):  
Aditya Bates

There are changes underway in the world energy and power systems because of climate change, which will result in smart and intelligent infrastructure for the new energy management and power system. Smart grid software will play an important part in making this new infrastructure intelligent. This chapter investigates software applications that have a potential to be developed for a new low carbon economy. In addition, this paper explains what the standard bodies and user groups driving the development of these new smart software applications. The chapter will also discuss the control points where software can be added to smart grid infrastructure for a low carbon economy.


2019 ◽  
Vol 43 (9) ◽  
pp. 4686-4700 ◽  
Author(s):  
Kai Ou ◽  
Wei‐Wei Yuan ◽  
Mihwa Choi ◽  
Jungsuk Kim ◽  
Young‐Bae Kim

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1380 ◽  
Author(s):  
Rui Yang ◽  
Yupeng Yuan ◽  
Rushun Ying ◽  
Boyang Shen ◽  
Teng Long

Due to the pressures caused by the energy crisis, environmental pollution, and international regulations, the largest ship-producing nations are exploring renewable resources, such as wind power, solar energy, and fuel cells to save energy and develop more environmentally-friendly ships. Solar energy has recently attracted a great deal of attention from both academics and practitioners; furthermore, the optimization of energy management has become a research topic of great interest. This paper takes a solar-diesel hybrid ship with 5000 car spaces as its research object. Then, following testing on this ship, experimental data were obtained, a multi-objective optimization model related to the ship’s fuel economy and diesel generator’s efficiency was established, and a partial swarm optimization algorithm was used to solve a multi-objective problem. The results show that the optimized energy management strategy for a hybrid energy system should be tested under different electrical loads. Moreover, the hybrid system’s economy should be taken into account when the ship’s power load is high, and the output power from the new energy generation system should be increased as much as possible. Finally, the diesel generators’ efficiency should be taken into consideration when the ship’s electrical load is low, and the injection power of the new energy system should be reduced appropriately.


2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Onur Ozdal Mengi ◽  
Ismail Hakki Altas

An intelligent energy management system (IEMS) for maintaining the energy sustainability in renewable energy systems (RES) is introduced here. It consists of wind and photovoltaic (PV) solar panels are established and used to test the proposed IEMS. Since the wind and solar sources are not reliable in terms of sustainability and power quality, a management system is required for supplying the load power demand. The power generated by RES is collected on a common DC bus as a renewable green power pool to be used for supplying power to loads. The renewable DC power bus is operated in a way that there is always a base power available for permanent loads. Then the additional power requirement is supplied from either wind or PV or both depending upon the availability of these power sources. The decision about operating these systems is given by an IEMS with fuzzy logic decision maker proposed in this study. Using the generated and required power information from the wind/PV and load sides, the fuzzy reasoning based IEMS determines the amount of power to be supplied from each or both sources. Besides, the IEMS tracks the maximum power operating point of the wind energy system.


Sign in / Sign up

Export Citation Format

Share Document