Title |
A methodology for the sustainability of power generation through integration of impacts on water, air, land, and cost |
ID_Doc |
65718 |
Authors |
Ali, B |
Title |
A methodology for the sustainability of power generation through integration of impacts on water, air, land, and cost |
Year |
2020 |
Published |
|
DOI |
10.1016/j.resconrec.2020.104830 |
Abstract |
The principal objective of this paper is to develop an optimization model to integrate the available natural resources in a specific jurisdiction and to find the most sustainable power generation pathways to face the electricity demand with the lowest possible environmental and economic impacts. The sustainability was assessed in this paper quantitatively through environmental, economic, and natural resources indicators. A linear programming model was constructed with the objective function to minimize the cost of power generation and constrained by the available natural resources and greenhouse gas (GHG) emissions in a specific jurisdiction. Constraints for the model were represented by electricity demand, water consumption, water withdrawals, emitted CO2, and land area needed for power generation. The business-as-usual scenario was based on the existing power generation mix of Alberta Province in Canada and compared to the other four scenarios conducted through the optimization model. Cost-Effective, sustainable, stringent, and renewable penetration scenarios were conducted. Compared to the business-as-usual scenario, the cost-effective scenario resulted in a less average levelized cost of electricity (LCOEAv) by 17%, higher by 41% for the sustainable scenario, and higher by 14% for the stringent scenario. |
Author Keywords |
Optimization model; Sustainability; Natural resources; Power generation; Environmental impacts |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000540609500039 |
WoS Category |
Engineering, Environmental; Environmental Sciences |
Research Area |
Engineering; Environmental Sciences & Ecology |
PDF |
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