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Artelys Crystal City

 

Compare local energy strategies

As cities consume 70% of world energy, the optimization of urban energy investments is a key challenge for reducing polluting emissions and costs. Artelys Crystal City is a decision-support software that helps local authorities define sustainable, reliable and cost-effective urban energy strategies. Artelys Crystal City is currently under experimentation with French (Marne la Vallée, 70,000 inhabitants) and Italian (Cesena, 100,000 inhabitants, and Bologna 400,000 inhabitants) local authorities.

A decision-support application

Through detailed energy chain simulations, Artelys Crystal City allows cities to assess the environmental and financial impacts of various long-term (5 to 30 years) energy plans (local resources valuation, heat network, demand side management, smart grid, etc.) and to reduce exposure to fuel price uncertainties.

A development-support application to define local energy strategy

French local authorities with more than 50,000 inhabitants must have an energy strategy for the end of 2012 with a detailed action plan to improve the energy efficiency, boost renewable energy production and reduce greenhouse emission. Artelys Crystal City platform helped define cost-effective action plans to achieve this objective.

A communication application

Artelys Crystal City centralizes and synthesizes all the energy data to facilitate consultations between stakeholders. The ergonomic interface helped local authorities promote their decisions to the citizens.

Analysis of energy plans and their impacts

Two levels of representation

• Annual consumption/production for quick parameter setting
• Detailed consumption/production representation (1 hour time step) for results validation

Comprehensive modeling of the energy chain

Detailed modeling of the energy demand
… hourly time step and by type of consumer

• Database of consumption by usage (space heating, water heating, lighting, etc.) and by consumers type (apartment built before 1975, offices, hotels, etc.)
• Profile calibration for detailed simulation
• Factors influencing consumption (temperature, bank holidays)
• Energy mix definition (gas versus electric heat, etc.) and energy supply contracts

Consumption curve (annually per hour) residential heat usage

Modeling of long-term uncertainties on price and demand

… based on RTE and AIE main scenarios

• On energy prices (5 to 30 years)
• On demand evolution by usage and type of consumers

Long term electric demand scenarios for residential consumers (sources: RTE)

Detailed modeling of energy portfolios and energy strategies
… based on a wide energy assets library

Local energy production and storage system
- Decentralized production based on renewable energy (solar, wind, biomass, etc.)
- Waste-to-energy valuation
- Cogeneration and collective heat
- Production scenarios for intermittent energies (wind turbines, solar units)

• Electrical, gas, heat networks

• Transportation
- Public transport 
- Electrical vehicles

• Demand side management
- Isolation campaign
- Energy efficiency
- Smart grids

Studied energy strategy example : geothermal and wood boiler (south), waste valuation and cogeneration (west)

Economical and environmental impacts evolution

Simulation of energy portfolio management

• Simulation of optimized production portfolio management
• Simulation of optimized consumption management 
• Optimization of stocks management

Solar production per house (red) versus sanitary hot-water consumption (blue)

Costs estimation

• Investment costs (CAPEX)
• Operational costs (maintenance, production site management, etc.)
• Combustible costs
• Energy purchasing costs on national network

Greenhouse emissions

• Direct emissions 
• Indirect emissions

Compared risk analysis

The strategy assessment of various scenarios allows for efficient management of economical and environmental risks and for results comparison, such as:

• Environmental risks and health impacts 
• Network joint management risks 
• Financial deficit risks
• Financial exposition to fuel price uncertainties

An ergonomic interface and useful functionalities

• Interface based on geographical information system, which allows for a global vision on the system modeled
• Possibility to manage several studies at the same time. Models and results export, import 
• User-friendly management of different scenarios in the same case study 
• Application to ease the scenarios generation (based on formulas or historical data)
• Results tracking
• Analysis of commodities prices variation sensibility and risks analysis 
• Comparison of energetic scenarios through indicators and results

The user can add an energy asset with a single click (here a biogas plant) or implant its own constraints.

Benefits for local authorities

Decision-support application

• Optimize mid-term and short-term energy investments
• Optimize local energy strategy to cost-effectively integrate green energy and reduce CO2 emissions
• Evaluate economical and environmental impacts of energy strategies
• Define robust energy schemes to face fuel price uncertainties

Communication application

• Ease skills improvement for local authorities
• Ease consultations between stakeholders through a ergonomic application
• Promote local authority decisions to citizens