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An agent-based simulator to estimate domestic energy use
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Orientador(es)
Resumo(s)
Throughout recent years, there has been an increase in the population size, as well as
a fast economic growth, which has led to an increase of the energy demand that comes
mainly from fossil fuels. In order to reduce the ecological footprint, governments have
implemented sustainable measures and it is expected that by 2035 the energy produced
from renewable energy sources, such as wind and solar would be responsible for one-third
of the energy produced globally. However, since the energy produced from renewable
sources is governed by the availability of the respective primary energy source there is
often a mismatch between production and demand, which could be solved by adding
flexibility on the demand side through demand response (DR). DR programs influence
the end-user electricity usage by changing its cost along the time. Under this scenario the
user needs to estimate the energy demand and on-site production in advance to plan its
energy demand according to the energy price. This work focuses on the development of
an agent-based electrical simulator, capable of:
(a) estimating the energy demand and on-site generation with a 1-min time resolution for
a 24-h period,
(b) calculating the energy price for a given scenario,
(c) making suggestions on how to maximize the usage of renewable energy produced
on-site and to lower the electricity costs by rescheduling the use of certain appliances.
The results show that this simulator allows reducing the energy bill by 11% and almost
doubling the use of renewable energy produced on-site.
Descrição
Palavras-chave
Residential electricity simulation Demand response Multi-agent systems Flexible energy demand