Open AccessEnvironment driven consumer EC model incorporating complexities of consumer body dynamics
Author(s) -
Ali Sahibzada Muhammad,
Khan Bilal,
Mokryani Geev,
Mehmood Chaudhry Arshad,
Jawad Muhammad,
Farid Umar
Publication year - 2019
Publication title -
iet energy systems integration
Language(s) - English
Resource type - Journals
ISSN - 2516-8401
DOI - 10.1049/iet-esi.2018.0051
Subject(s) - system dynamics , environmental science , relative humidity , dynamics (music) , relation (database) , function (biology) , consumption (sociology) , atmospheric sciences , computer science , meteorology , environmental economics , psychology , physics , economics , biology , artificial intelligence , pedagogy , social science , database , evolutionary biology , sociology
Energy consumption (EC) of consumers primarily depends on comfort level (CL) affirmed by brain sensations of the central nervous system. Environmental parameters such as surroundings, relative humidity, air temperature, solar irradiance, air pressure, and cloud cover directly influence consumer body temperature that in return affect blood dynamics perturbing brain comfort sensations. This CL (either in summer, winter, autumn, or spring season) is a function of external environment and internal body variations that force a consumer toward EC. To develop a new concept of consumer's EC, first the authors described environment parameters in detail with relation to surroundings and EC. Considering this, they tabulated a generic relation of consumer's CL with EC and environment temperature. Second, to build an inter‐related bond between the environmental effects on consumer body dynamics, they analysed theoretically and mathematically above mutual relations between medical and environmental sciences. Finally, they present their conceptual EC model based on a closed‐loop feedback system. This model is a complex non‐linear adaptive system with environmental and surrounding parameters as input to the system resulting in an optimised EC, considering consumer CL as a key parameter for the system.