A framework is presented to facilitate demand estimation and solar microgrid design. Household load is simulated based upon appliance ownership and climatic conditions. Nondomestic load data is derived from deployed microgrids across economic contexts. Load growth, climatic condition, and nondomestic load all play a key role in shaping load profiles. Data are combined in a technoeconomic model to inform cost-optimal sizing strategies.
Electricity demand in populations gaining access: Impact of rurality and climatic conditions, and implications for microgrid design
Candelise, Chiara
2022
Abstract
A framework is presented to facilitate demand estimation and solar microgrid design. Household load is simulated based upon appliance ownership and climatic conditions. Nondomestic load data is derived from deployed microgrids across economic contexts. Load growth, climatic condition, and nondomestic load all play a key role in shaping load profiles. Data are combined in a technoeconomic model to inform cost-optimal sizing strategies.
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