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Case Studies | Analytica in Green Analytics

Paper or plastic? Solar or wind? These are often surprisingly hard questions. Analytica is an ideal tool for clarifying and quantifying environmental as well as economic costs and benefits. Power companies are using Analytica to select the best mix of technologies to meet renewable portfolio standards, and other economic and regulatory needs. Energy equipment companies use it to analyze global demand and help their customers evaluate the return on investment on their products. The US Department of Energy uses Analytica to evaluate its R&D in energy efficiency and renewables. See selected case studies below.

Relocatable Classroom

The importance analysis features in Analytica helped designers determine where to spend their design time, leading to building designs with reduced environmental impact.

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From Controversy to Consensus: California’s offshore oil...

Offshore oil in California is highly controversial. But, Lumina's decision model on decommissioning oil platforms led to consensus for "rigs to reefs".

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Electrical Energy Storage Valuation Tool

Analytica was used to build an energy storage modeling application to evaluate the costs and benefits of various storage technologies.

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UCSD Microgrid

A Campus Microgrid with CHP

Is adding more photovoltaics to UCSD’s microgrid technically feasible and cost-effective? E3 Consulting created a dispatch optimization tool to evaluate this question.

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Barclay's Cycle Hire in London

Is Bike Sharing Good for Your Health?

City bike share programs are popular methods of improving health, but with increased injury risks and exposure to pollutants, do they actually have a positive effect on health?

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The Future of the Automobile

Can alternative technologies such as biofuels, natural gas, electric vehicles, or hydrogen fuel cells reduce greenhouse gas emissions and dependency on oil?

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Coffee Carafe

Green Purchasing

Analytica helps organizations compare the environmental costs of the products they need, so they can consider the environmental footprint of their buying decisions.

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