1. Date of download: 11/7/2017
Copyright © ASME. All rights reserved.
From: Upper Level of a Sustainability Assessment Framework for Power System Planning
J. Energy Resour. Technol. 2015;137(4): doi: /
Figure Legend:
Schematic representation of the SAF

2. Date of download: 11/7/2017
Copyright © ASME. All rights reserved.
From: Upper Level of a Sustainability Assessment Framework for Power System Planning
J. Energy Resour. Technol. 2015;137(4): doi: /
Figure Legend:
Schematic representation of the Northwest European electricity network [34,35]

3. Date of download: 11/7/2017
Copyright © ASME. All rights reserved.
From: Upper Level of a Sustainability Assessment Framework for Power System Planning
J. Energy Resour. Technol. 2015;137(4): doi: /
Figure Legend:
Sizes of the optimum network configurations in the Pareto set for scenario 1

4. Date of download: 11/7/2017
Copyright © ASME. All rights reserved.
From: Upper Level of a Sustainability Assessment Framework for Power System Planning
J. Energy Resour. Technol. 2015;137(4): doi: /
Figure Legend:
Sizes of the optimum network configurations in the Pareto set for scenario 2: (a) main grid configurations and (b) MG configurations (residential, commercial, and industrial)

5. Date of download: 11/7/2017
Copyright © ASME. All rights reserved.
From: Upper Level of a Sustainability Assessment Framework for Power System Planning
J. Energy Resour. Technol. 2015;137(4): doi: /
Figure Legend:
Optimal daily SO2 emissions versus optimal total daily costs (capital and O&M)

6. Date of download: 11/7/2017
Copyright © ASME. All rights reserved.
From: Upper Level of a Sustainability Assessment Framework for Power System Planning
J. Energy Resour. Technol. 2015;137(4): doi: /
Figure Legend:
Optimal daily exergy use versus optimal total daily costs (capital and O&M)

7. Date of download: 11/7/2017
Copyright © ASME. All rights reserved.
From: Upper Level of a Sustainability Assessment Framework for Power System Planning
J. Energy Resour. Technol. 2015;137(4): doi: /
Figure Legend:
Optimal resiliency (penetration of MGs) versus optimal total daily costs (capital and O&M)