COMPOSE

Modified on Sunday, 16 October 2022 07:34 by [email protected] — Categorized as: Uncategorized

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Description of COMPOSE (Compare Options for Sustainable Energy)

COMPOSE is a parametric linear programming model for designing and evaluating energy options within an energy-economy system.

COMPOSE is also a social platform for sharing, comparing, and safe-keeping case studies and solutions about how energy demands, supply processes, and markets interact in the quest for sustainable energy.

COMPOSE provides a rapid and powerful basis for comparative energy systems analysis that is consistent with the micro-economic reality of operational scheduling.

COMPOSE is for Microsoft Windows

COMPOSE evaluates the feasibility of a user-defined energy option in a user-defined energy-economic system-wide perspective using user-selected methodology options.

Features

How is it used and documented?

One student used it for his master thesis together with WindPRO for an investment and operational cost analysis of wind turbine projects in historic and future markets. Another student used it for his PhD study designing a 100% renewable energy smart house. Recently it was used to design and analyze this concept for intermittency-friendly distributed QUAD-generation. Also recently, it was used to model Frederikshavn's district heating system, evaluating the financial and economic feasibility of a new large-scale heat pump and its system-wide implications.

Other studies have used COMPOSE for feasibility studies of smart houses, smart grids, wind projects, advanced CHP projects with heat pumps, electric boilers, and thermal storage, residential heat pumps with thermal storages, electric vehicles (including V2G), PV installations, solar thermal heaters, biomass boilers, multifuel power plants, entire energy systems, electricity systems producing hourly electricity spot market price profiles.

With COMPOSE, we - the editors - are sharing and safe-keeping a record of the studies that we did, including full representations of the techno-economic MILP models and parameters. Though some will have been deleted for good, cleaning up, what is left is what we consider to be important knowledge about options for sustainable energy with particular interest in intermittency-friendly energy systems and markets. Any user can clone visible options and data, enabling users to adapt collaboratively developed model data for own analyses.

Any data record entered into COMPOSE can be documented using the integrated WIKI.

Results include operational dispatch, economic costs, financial costs, fiscal costs, system-wide fuel consumption and CO2 emissions/cost-effectiveness, and metrics intermittency-friendliness and intermittency-volume as measures of smart performance.

In terms of CO2 emissions, COMPOSE offers the posibility of an assessment of an energy option's technical CO2 emissions taking into account the marginal producers of electricity and fuel in the respective markets. Any number of marginal producers of electricity and fuel can be selected for which the corresponding marginal production costs (calculated just as any other energy option) and the energy-economy system's spot market prices decides marginal CO2 impacts.

In terms of intermittency-friendliness and intermittency-volume, COMPOSE offers an innovative assessment of how well an electricity producer or consumer interacts with intermittent electricity supply, electricity markets, and other electricity demand in the energy system.

intermittency-friendliness : The coefficient is the statistical correlation between the energy-economy system's net electricity demand (electricity demand minus intermittent electricity supply) and the energy option's net electricity exchange with the energy-economy's electricity market. The intermittency-friendliness coefficient ranges of -1 to 1, and represents the "goodness" of an energy options's ability to support the intermittent renewables in the energy-economy system. Read the paper.

intermittency-volume : The coefficient is the consumption of electricity in market range below average electricity price, or the share of electricity consumption in below-average range market range to total electricity consumption.

User-defined uncertainties may be specified to allow for extensive Monte Carlo risk analyses and a subsequent statistical representation of results.

COMPOSE represents a vision that techno-economic rationality-driven platforms for social interaction may aid in reaching a tangible basis for discussing real conflicts, identifying winners and losers. The mission is for COMPOSE to combine the strength of operational simulation models with the strength of energy system scenario models in order to arrive at a modelling framework that supports an increasingly realistic and qualified comparative assessment of sustainable energy options.

System requirements

Microsoft Windows 7, 8, 10 is supported. Internet Explorer 9+ / Edge is required for Wiki and COMPOSE TV.

In order to install and update COMPOSE on a PC, you must have administrative rights.

In order for COMPOSE to run, your PC's and network's firewalls must allow for outgoing connections on certain ports.

Click here to download a program that will check if your PC and network is currently ready for COMPOSE

The program will also measure the COMPOSE server delay from your network location.

Windows SmartScreen and some anti-virus software may prevent you from downloading and installing COMPOSE. If you have this problem, please disable SmartScreen and your anti-virus temporarily while downloading and installing COMPOSE. COMPOSE is free from viruses and malware.

Recommended Software

COMPOSE Programming

COMPOSE Change Log

COMPOSE Limitations and Issues

COMPOSE Logo

COMPOSE Credits

Publications