Narrow your search
Listing 1 - 4 of 4
Sort by

Dissertation
Mechanical design, control and optimization of a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa
Authors: --- --- --- ---
Year: 2016 Publisher: Liège Université de Liège (ULiège)

Loading...
Export citation

Choose an application

Bookmark

Abstract

This thesis aims at developing, optimizing and controling a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa. The considered system includes PV, Parabolic Trough Collectors, Organic Rankine Cycle and LPG generator, as well as chemical battery storage and thermal energy storage. The work focuses on multiple aspects of the ongoing development of solar hybrid microgrids for the rural electrification of remote areas in Lesotho. These aspects range from very specific improvements (the mechanical design of a high expansion ratio expander) to the more global evaluation of their impact once included into a complex micro-grid system. Special attention has also been paid to the links between thermal and electrical demands.

The main contributions of this thesis are:
- The mechanical design of a high expansion ratio scroll expander, involving drawing, machining and assembly of the parts. 
- The detailed model of an organic Rankine cycle with the purpose of evaluating the improvement brought by the high expansion ratio scroll expander and mapping the ORC performance.
- A building model developed to predict the thermal loads of a health clinic in rural communities of Lesotho. The developed lumped-parameter model can be used for various building typologies and communities. The model is designed to be as generic and simple as possible, and contrasts with the data-intensive models generally proposed in the literature.
- The gathering of monitoring and weather data relative to a health clinic in Lesotho, and their use for the calibration of the building model.
- A microgrid model built by interconnecting all of its subcomponent models. A rule-based control strategy is developed, accounting for interactions between thermal and electrical loads, and dispatching heat and power flows of each component in order to cover the demand while minimizing the fuel consumption.
- A particle-swarm optimization model used to optimize the microgrid under different cost assumptions and control strategies

The above models prove that the system performs better with the developed high expansion ratio expander. The maximum output power of the ORC is increased by 33 %, and the fuel consumption of the microgrid is reduced by 25 %.

For the studied community of Ha Nkau in Lesotho, the determined optimal system infrastructure is composed of PV (65 kW) and batteries (259 kWh) only, and the optimum control strategy achieves a levelized cost of electricity of 0.202 USD/kWh. Fuel consumption is mainly due to the burner, which supplies all the thermal load because no other heating system is selected by the optimization.


Book
Renewable Energy Resource Assessment and Forecasting
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Keywords

Research & information: general --- short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal


Book
Renewable Energy Resource Assessment and Forecasting
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Keywords

short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal


Book
Renewable Energy Resource Assessment and Forecasting
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Keywords

Research & information: general --- short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal --- short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal

Listing 1 - 4 of 4
Sort by