Annual Energy Outlook 2008 With Projections to 2030

ライブラリー Annual Energy Outlook 2000

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In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community. MPC is becoming more and more viable because of the increase in computational power of building automation systems and the availability of a significant amount of monitored building data. MPC has found successful implementation in building thermal regulation, fully exploiting the potential of building thermal mass. Moreover, MPC has been positively applied to active energy storage systems, as well as to the optimal management of on-site renewable energy sources. MPC also opens up several opportunities for enhancing energy efficiency in the operation of Heating Ventilation and Air Conditioning (HVAC) systems because of its ability to consider constraints, prediction of disturbances and multiple conflicting objectives, such as indoor thermal comfort and building energy demand. Despite the application of MPC algorithms in building control has been thoroughly investigated in various works, a unified framework that fully describes and formulates the implementation is still lacking. Firstly, this work introduces a common dictionary and taxonomy that gives a common ground to all the engineering disciplines involved in building design and control. Secondly the main scope of this paper is to define the MPC formulation framework and critically discuss the outcomes of different existing MPC algorithms for building and HVAC system management. The potential benefits of the application of MPC in improving energy efficiency in buildings were highlighted.

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Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities

This paper investigates heat pump systems in smart grids, focussing on fields of application and control approaches that have emerged in academic literature. Based on a review of published literatu ...

https://zenodo.org/record/895978/files/article.pdf

On heat pumps in smart grids: A review

This paper discusses the photovoltaic panel model realization using software package known as Simscape, a simulation platform for the PV cell and panel The output current and power characteristics of PV model are simulated using the proposed software based on sunlight irradiance and cell temperature characteristics The simulation and analysis of the dynamics of PV power system is made easy through this package

PV panel modelling using Simscape

Stochastic optimized intelligent controller for smart energy efficient buildings

The aim of this project is to develop a hybrid system to increase efficiency of electricity generation. Two sources of energy are used in this project. One of the energy is solar, that converts radiant light to electrical energy and heat energy which will convert heat to electricity. Photovoltaic (PV) cell and thermoelectric (TE) module is used in this project as tools to capture and convert the energy to electrical energy. This innovation has no emission and requires less maintenance.

Novel hybrid photovoltaic and thermoelectric panel

Malaysia is a country that is surrounded by numerous oceans that are able to be a renewable energy resource for betterment of human life. This research is proposed to design, model and analyze a portable single-phase linear permanent magnet generator for wave energy conversion (WEC) that is works with the local wave parameters. In comparison with a rotary generator, the linear generator is found preferable due to the direct-drive technology that promises low maintenance and cost. This research proposed three linear permanent magnet generator designs with different types of permanent magnet layout. The results show that proposed permanent magnet configuration is able to provide better flux density as compared to other proposed designs.

Modeling and analyze a single-phase halbach magnetized tubular linear permanent magnet generator for wave energy conversion

Newton-Raphson power flow method that makes use of the bus admittance matrix remains as an efficient and most popular method to get the power flow solution. Elements of Jacobian matrix are computed from standard expressions, which lack physical significance. In this paper, elements of the Jacobian matrix are obtained considering the power flows in the network elements. Noting that the partial derivatives of line flows contribute to the partial derivatives of bus powers, the network elements are processed one-by-one and the Jacobian matrix is updated suitably in a simple manner. The Jacobian matrix so constructed is used to obtain the power flow solution. The suggested algorithm is successfully tested on IEEE standard systems and found to be computationally efficient.

Nursyarizal Mohd Nor

Papers

PV panel modelling using Simscape

Stochastic optimized intelligent controller for smart energy efficient buildings

Novel hybrid photovoltaic and thermoelectric panel

Modeling and analyze a single-phase halbach magnetized tubular linear permanent magnet generator for wave energy conversion

Newton-Raphson power flow solution employing systematically constructed Jacobian matrix