DSM & Demand Response Databases
MAISY DSM & Demand Response Databases provide
hourly
kW potentials and estimated program impacts in regulated and competitive
markets.
MAISY DSM & Demand Response Databases include end-use-detailed and
program-detailed DSM and demand response (DR) potentials and estimated program
impacts for a statistically representative sample of individual residential,
commercial and industrial customers for every state and utility service area
in the US. Customer detail in the databases permits users to determine DSM
& DR potentials and estimated program impacts for total customer classes
(residential, commercial and industrial), user-defined customer segments
and individual customers. Customer-detailed analysis provides more accurate
DSM & DR analysis results than those based on "average" customer information
( see MAISY Individual Customer-Based Hourly Loads
Data Avoids Pitfalls Associated With Predefined Prototype and Average Segment
Loads).
DSM & DR databases include customer-detailed building, equipment and
operating information and 8760 hourly end-use (space heating, air conditioning,
lighting, process, etc.) loads from the MAISY Utility
Service Area Customer Databases along with DSM & DR end-use and program
hourly load potentials and program impacts including hourly kW potentials
and program impacts of standby/emergency generators.
MAISY DSM & Demand Response Databases are especially valuable in utility
planning because they include all service area customers and programs providing
valuable information on DSM and demand response resources available from
customers not currently included in programs.
DSM & Demand Response Program Potentials
MAISY DSM & DR Databases provide hour-by-hour kW load potentials for
individual programs.
DSM & Demand response impacts, regardless of the nature of the program
reflect changes in end-use operating schedules or energy use characteristics
(i.e., equipment utilization (e.g., thermostat changes), efficiency or fuel
choice ). Changes in operating schedules include changing operating times
to off-peak periods, cycling equipment, equipment shutdown and powering up
standby/emergency generators.
MAISY DSM & DR Customer Databases include detailed information on equipment,
building and operating characteristic of residential, commercial and industrial
customers. Each customer record includes 8760 hourly loads for major end
uses (space heat, air conditioning, lighting, water heating, process uses,
etc.).
MAISY DSM & Demand response software can compute 8760 hourly load impacts
of DR programs including
Each of these activities is evaluated at the end-use level including space
heating, air conditioning, ventilation, water heating, lighting, cloths drying,
cloths wasting, dishwashing, cooking, miscellaneous, process and other uses.
The software also recognizes combination activities such as the impact of
energy management systems across all controlled end uses and the concurrent
application of several DSM and DR programs on the same customers (e.g.,
peak-shifting and standby/backup generator use).
DR pricing programs such as time-of-use and real time pricing are also reflected
in DR program specifications.
DSM & DR Analysis Results
Both DSM & DR program potentials and program results and costs (based
on specific program characteristics) are presented in tables and charts including
kWh reductions in electricity use for each of the 8760 hours of the year.
Alternative Weather Conditions
DSM & DR databases provide potentials and program impacts under alternative
hourly weather conditions. This ability permits analysis under various
weather scenarios.
Customized DSM & DR Databases
Each DSM & DR service area or state database is customized to include
programs and analysis specific to that geographic area reflecting both customer
populations and program experiences. Additionally, databases are customized
to reflect DSM & DR programs of interest to individual clients.
Advantages of MAISY DSM & DR Database "Bottom-Up" Methodology
MAISY Databases provide DSM & DR potentials and program impacts by evaluating
hourly load changes of each user-selected program on end-use equipment within
each building. Since energy-use characteristics of each end-use determine
the potential and thereby provide an upper limit for program impacts, the
bottom-up approach provides a reliable framework for DSM & DR analysis.
Similarly, by applying program participation relationships for individual
end-uses, participation rates and program impacts can also be forecast more
accurately.
Advantages of the MAISY DR Database Service Area Detail
DSM & DR potential and likely program impacts vary for each geographic
area based on customer mix, climate factors, customer fuel choices and other
factors. Applying aggregate response relationships estimated for one area
to another area is likely to be problematic because of differences in these
underlying factors from the estimation area to the application area.
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