Rezaei, Masoud, Sameti, Mohammad and Nasiri, Fuzhan (2021) An enviro-economic optimization of a hybrid energy system from biomass and geothermal resources for low-enthalpy areas. Energy and Climate Change, 2. p. 100040. ISSN 2666-2787
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Abstract
In this paper, a combined biomass-geothermal system, intended to supply heat in low enthalpy areas with an
extremely cold climate, is optimized based on a nonlinear optimization methodology. A Multiple Criteria Decision-Making technique is coupled with a two-step optimization to achieve the most exploitable energy with the least
pollution and cost possible. Three nonlinear objective functions for optimization with three criteria for decision-making were used to minimize the heat generation cost and pollution for a modeled building in Kuujjuaq, Canada.
The biomass-geothermal system is split into two parts, surface, and subsurface parts. Twelve scenarios, including
three wood pellet types, in four distance ranges from pellet mills, are first defined. Then, via modeling a building
for heat demand analysis, the required heat is yielded. Afterward, in the first step of optimization, the cost and
pollution functions for surface parts are developed and optimized using the genetic algorithm and screened by
the MCDM technique, called TOPSIS, to size the biomass and geothermal subsystems. In the second step, using
the sizing from the first step as a constraint, the cost of the geothermal ground heat exchanger is minimized.
Twelve scenarios are optimally configured in this way with minimum cost and pollution in relation to operational
parameters, such as utilization time and rated powers. The research proposes a methodology that sizes the biomass
geothermal (bio-geo) system and can be extended to other technologies, such as turbines, energy storages, or fuel.
Furthermore. It provides a correlation between cost and heat generation from biomass-geothermal systems for
Kuujjuaq, Canada, and twelve optimal scenarios with system operating parameters. A basis for system sizing
and system selection for baseload and peak demand shaving is also considered. Geothermal- and biomass-rated
capacities vary with scenarios from 44% to 56% of the total rated capacity.
Item Type: | Article |
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Keywords: | Optimization; Hybrid; Biomass; Geothermal; Low-enthalpy; Pollution; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 18600 |
Identification Number: | 10.1016/j.egycc.2021.100040 |
Depositing User: | IR Editor |
Date Deposited: | 30 May 2024 13:27 |
Journal or Publication Title: | Energy and Climate Change |
Publisher: | Elsevier Limited |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/18600 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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