16
Impact Analysis for Financing
For corporate-level financings, we assess the
impact of the companies that we have served, as
we have long-term relationships with our corporate
clients and often help them raise capital throughout
their growth cycle, across multiple transactions.
More specifically, we consider the full impact of
these companies from our first financing since
2012 through the first quarter of 2016. For project-
level financings that entail new development, we
consider the full impact of these projects. However,
employees and revenues are excluded for project-
level financings.
For New Energy Deployment, we include the growth
in megawatts deployed from a baseline of the
quarter prior to our first financing through the first
quarter of 2016. Revenues are included in the fiscal
year prior to our financing and the 2015 fiscal year to
calculate growth. Similarly, employee numbers are
included as of the fiscal year prior to our financing
and the 2015 fiscal year.
For Refinancings, we include the total megawatts
that had been refinanced as of the first quarter
of 2016 to illustrate the potential balance sheet
capacity that could be redeployed for additional
new development. We include the total revenues
from companies as of the 2015 fiscal year. For
YieldCo-related financings, employee metrics
are excluded.
For companies across the broader Clean Tech
Ecosystem, we highlight the impacts of specific
companies and transactions given the difficulty
of aggregation across a variety of technologies
with disparate nature of disclosure and complexities
in calculating direct impacts. Revenues and
employees are included in the fiscal year prior
to our financing and 2015 fiscal year.
Data is sourced from public filings and press
releases.
Calculating Emissions
We assess the emissions impact from the
megawatt-hours produced by the operating projects
which have been deployed since our initial financing
or investment. We use the actual capacity factor
of projects, where available. When not available,
we rely on assumptions to calculate megawatt-
hours. For projects in the U.S., we use 2015 annual
average capacity factors from the United States
Energy Information Administration. For other
countries, we use governmental and other credible
sources, or apply a known capacity factor from
other companies’ data from the same country.
In order to assess the greenhouse gases avoided,
we utilize the emissions from electricity generation
in each country. In the U.S., we use the latest annual
non-baseload carbon dioxide output emission rate,
as disclosed by the United States Environmental
Protection Agency (EPA) in their eGRID analysis,
which is based on 2012 data. For other countries,
as non-baseload data is not available, we use
system average data on CO
2
emissions per
megawatt-hour from the International Energy
Agency’s CO
2
Emissions from Fuel Combustion
Highlights 2013 Edition, which is based on 2011
data. Equivalencies for forests and cars are based
on U.S. numbers from the EPA’s Greenhouse Gas
Equivalencies Calculator.
For the Clean Tech Ecosystem, we assess the
emissions impact where applicable. With respect
to electric vehicles, we calculate the emissions from
an EV traveling an average vehicle’s miles per year,
utilizing California’s non-baseload emission rate to
calculate the emissions from electricity required to
charge the vehicle, and compare it to the emissions
of an average passenger vehicle per the EPA. For
advanced bio-products, we adjust the emissions
benefits to account for the lifecycle emissions from
processing the products. For solar components,
we do not assess emissions given that the solar
components, once manufactured, are used by
various developers and could result in duplication
with New Energy Deployment impact metrics. For
smart grid technologies, we rely on direct public
disclosure of emissions impact given the complexity
in direct calculations.
Methodology