z-logo
open-access-imgOpen Access
Mathematical Modeling of Energy Balance in the Photobiological Treatment Plants
Author(s) -
Natalia Buzalo,
Pavel Ermachenko,
Alexej Bulgakov,
Natalia Zakharchenko
Publication year - 2015
Publication title -
procedia engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.32
H-Index - 74
ISSN - 1877-7058
DOI - 10.1016/j.proeng.2015.10.067
Subject(s) - photobioreactor , process engineering , renewable energy , facade , solar energy , modelica , process (computing) , environmental science , energy balance , engineering , waste management , environmental engineering , computer science , biofuel , control engineering , civil engineering , electrical engineering , ecology , biology , operating system
The paper deals with photobiological treatment facilities integrated with building's architectural shell. Using such a kind of systems solves the following tasks: receiving third-generation biofuels, disposing carbon dioxide, cleaning and disinfecting the wastewater, recycling phosphorus compounds, using solar radiation for heating. Our study implements the idea of creating a partially closed cycle for flows of matter and energy within a wastewater treatment process. We focus on the use of natural light when photoreactors with algae are placed on a building architectural shell. However, in this case there is a need to ensure proper temperature conditions for the stable growing of algae. The problem can be solved by control of energy flow within the system. To do this, we apply methods of numerical simulations based on ordinary differential equations. The model takes into account seasonal variations of the day length and the outside air temperature. The engineering basis for energy flow control is the trigeneration system (combined heat, power and cooling) working in conjunction with photobioreactors installed on the facade, which can be considered as solar collectors

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom