Subject: OFFGRID and SPECIALISED APPLICATIONS)

World Wind Energy Conference, November 2003, Cape Town, South Africa

Subject: OFFGRID AND SPECIALISED APPLICATIONS)

Hybrid Power Systems Potential Assessment by means of Time-Space Analysis

A Case Study for Mozambique, Angola and Madagascar

Gil Lizcano 1 Martin Todd 1 Alexandre Costa 2 Javier Domínguez 2 Julio Amador 3

1 Dep. Geography – UCL 2 Isolated Systems – DER – CIEMAT 3 Dep. Electrical Engineering - EUITI – UPM

WC1N 1PG, London, UK Av. Complutense, 22, 28040, Madrid, Spain Ronda de Valencia, 3, 28012, Madrid, Spain

Keywords: Hybrid Power Systems, Time-Space Analysis, Quasi-steady State, GIS, Wind Atlas

Abstract

This paper describes the integration of a time analysis tool (HySyS) with a tool based on a GIS (Geographic Information System) for the regional scale assessment of the technological and economical potentials of renewable energies with respect to conventional sources (e.g., conventional grid extension, genset diesel), being the case study motivated by the recent development of the Wind Atlas for Mozambique, Angola and Madagascar.

The GIS tool was developed in a co-operation agreement between CIEMAT and the Polytechnical University of Madrid – UPM, from the experience obtained by CIEMAT during the SOLARGIS project. The methodology is based on the selection of the most adequate system for remote applications (as in rural electrification), comparing the cost, pixel by pixel, of the renewable kWh with the conventional kWh. The original tool was improved and actualised, incorporating a spatial sensibility analysis.

HySyS (Hybrid Power System Balance Analyser) is a computational tool for the simulation of hybrid power systems (HPS) in a quasi-steady state, a suitable regime for HPS sizing, energy balance and long-term performance analysis. HySyS had its first development steps at the Brazilian Wind Energy Centre - CBEE and is, actually, under improvement at CIEMAT. In this first version of the software, there are considered simulations of wind-solar-battery systems.

The wind resource mapping for Mozambique, Angola and Madagascar has been obtained by statistical-dynamical downscaling approach (SDDA). A cluster of large scale climate episodes was defined using the ECMWF ERA40 project (1 degree resolution) by means of general principal component techniques and Bayesian methods. The large to local conditions zoom were derived through the dynamical integration of the climate episodes using MM5 regional atmospheric model, set up over a 500m high resolution digital elevation model for the region obtained from GTOPO 30” and SARS database. The large scale climate statistics were modified by the local statistics dynamically derived, leading to the preliminary wind map product, a wind resource distribution for typical wind turbine hub heights. The model simulations have been carried out at the Environmental Monitoring and Modelling Group, UCL-London.

The integration of both tools would permit a regional scale assessment of the renewable potential (with respect to the conventional sources) based on, fundamentally, the time-space analysis of the resources and loads. The greatest success of this integration would be the restriction of the search space (interesting region) to the points in which the energy balance (time analysis) must be taken for a given system configuration, supplying specific consumers. To evaluate the possibilities of this integration, the case study for Mozambique, Angola and Madagascar is presented.

Alexandre Carlos Araújo da Costa

Researcher from Brazilian Wind Energy Centre – CBEE

PhD Student in the Department of Energetic Engineering and Fluid Mechanics,
Polytechnical University of Madrid – UPM, Spain

Collaborating Researcher in the Isolated Systems Group, Department of Renewable Energies, CIEMAT, Spain

Formation:

Electronical Engineer, Department of Electronical Engineering and Systems,

Federal University of Pernambuco, Brazil, 2000

MSc Mechanical Engineer, Brazilian Wind Energy Centre - CBEE

Department of Mechanical Engineering,

Federal University of Pernambuco, Brazil, 2001

Research Areas:

Hybrid Power Systems, modelling, simulation, technological and economical analysis

Small Wind Turbines, modelling, design, aerodynamics, structure, control system

Wind Power Forecasting, arma models, fuzzy logic, neural networks

Software Development:

HySyS (Hybrid Power System Balance Analyser), a computational tool for the simulation of hybrid power systems (HPS) in a quasi-steady state, a suitable regime for HPS sizing, energy balance and long-term performance analysis