New Software Designed for Distributed Generation Technologies

A U.S. firm has released a software program that provides detailed energy use and market analysis of distributed generation technologies.

DURHAM, North Carolina, US, 2001-05- <> Jackson Associates of North Carolina says the DG Market Analysis System (DG-MAS) is a database and analysis system for the residential and commercial sectors. When used in conjunction with the company’s Energy-ID (TM) product, DG-MAS can generate customer names, addresses, other contact information and DG analysis for all individual customers in DG target markets. The 156,000 records in the MAISY Utility Customer Databases are used in DG-MAS to provide detailed energy information on individual customers, permitting analysis of real buildings rather than engineering prototype or average buildings. The databases support detailed a higher level of market analysis for DG technologies than has been available in the past. A microsimulation technology modeling process evaluates and forecasts DG choices for each of the customers in the databases in each year of the analysis which can extend through 2020. DG analysis results can be summarized with a few numbers, but the company explains that full understanding of a comprehensive analysis requires access to detailed results. It claims that DG-MAS presents both summary and detailed analysis results that are important to understanding DG market analysis and forecasts. DG-MAS was developed for manufacturer assessments of the markets for DG technologies, industry analyst evaluations of technologies, markets and likely DG company performance, utility and ESP DG benefits/costs and market penetration analysis and target marketing by ESCOs and other industry participants. It is customized for each client and can be applied to utility service areas, metropolitan areas and states. Electricity charges determine the avoided costs provided by DG technologies, and the software and databases can incorporate both generic rate structures and rate structures for individual utilities. The cost of competing DG technologies will change over time with commercialization and mass production of newer technologies, and the potential for DG depends heavily on new construction in the next 20 years. The program incorporates the impacts of new construction in DG market analysis for any time horizon through 2030. The models have been used to forecast energy, peak demand, technology choices and conservation program impacts for utilities and state agencies as part of the electric utility regulatory process.


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