Development of a simulation-based decision support tool for renewable energy integration and demand-supply matching

This paper describes a simulation-based decision support tool, MERIT, which has been developed to assist in the assessment of renewable energy systems by focusing on the degree of match achievable between energy demand and supply. Models are described for the prediction of the performance of PV, wind and battery technologies. These models are based on manufacturers' specifications, location-related parameters and hourly weather data. The means of appraising the quality of match is outlined and examples are given of the application of the tool at the individual building and community levels.

[1]  E. Muljadi,et al.  Control strategy for variable-speed, stall-regulated wind turbines , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[2]  Vassilios G. Agelidis,et al.  Pspice Modelling of Photovoltaic Arrays , 1995 .

[3]  Joseph Andrew Clarke,et al.  Development and demonstration of a renewable energy based demand/supply decision support tool for the building design profession , 2001 .

[4]  Eduard Muljadi,et al.  A conservative control strategy for variable-speed stall-regulated wind turbines , 2000 .

[5]  Richard L. Scheaffer,et al.  Statistics for engineers , 1982 .

[6]  K. Pierce,et al.  Wind turbine control system modeling capabilities , 1998 .

[7]  Ivor R. Smith,et al.  Wind, photovoltaic and battery electrical power: experience and modelling of an autonomous and grid connected system , 1996 .

[8]  B. J. Brinkworth,et al.  ‘ARES’—A refined simulation program for the sizing and optimisation of autonomous hybrid energy systems , 1997 .

[9]  F J Born,et al.  On the integration of renewable energy systems within the built environment , 2001 .

[10]  Bryan A. Fry,et al.  Simulation of Grid-Tied Building Integrated Photovoltaic Systems , 1998 .

[11]  S. W. Angrist.  Direct energy conversion , 1976 .

[12]  Henk Jan Bergveld,et al.  Electronic network modeling of rechargeable batteries: II: The NiCd system , 1998 .

[13]  Erik Lundtang Petersen,et al.  The European Wind Atlas , 1985 .

[14]  J. Newman,et al.  Simulation of Recombinant Lead‐Acid Batteries , 1997 .

[15]  M. C. Russell.  Grid-tied PV system modelling: how and why , 1994, Proceedings of 1994 IEEE 1st World Conference on Photovoltaic Energy Conversion - WCPEC (A Joint Conference of PVSC, PVSEC and PSEC).

[16]  B. J. Brinkworth,et al.  Battery state of voltage modelling and an algorithm describing dynamic conditions for long-term storage simulation in a renewable system , 1994 .

[17]  Robert H Eustis.  DIRECT ENERGY CONVERSION SYSTEMS , 1964 .

[18]  W. Beckman,et al.  Solar energy thermal processes , 1974 .