Science Inventory

FREIDA (Framework of Resources for modeling Energy/Environmental/Economic Impacts of Development and Advancements) in Ports: A framework for organizing data to inform coastal disaster management/pollution mitigation strategies, and an illustrative energy sector analysis

Citation:

Bandyopadhyay, R., O. Kaplan, R. Araujo, R. Dodder, AND Betsy Smith. FREIDA (Framework of Resources for modeling Energy/Environmental/Economic Impacts of Development and Advancements) in Ports: A framework for organizing data to inform coastal disaster management/pollution mitigation strategies, and an illustrative energy sector analysis. IEEE 7th Global Humanitarian Technology Conference, San Jose,CA, October 19 - 22, 2017.

Impact/Purpose:

This paper was presented at IEEE's 7th Global Humanitarian Technology Conference on October 19-22, 2017 in San Jose, CA. Coastal communities constitute ~40% of the total US population, and roughly 50% of the national GDP is attributed to socio-economic activities in these regions. Port system operations and related industries constitute a majority of the industrial activities occurring in the region. This paper presents preliminary results from our work on the development of “FREIDA in Ports”: an interactive information resource and modeling framework for port communities, that may be used to enhance resilience to extreme weather events and enable sustainable development. The framework of information resources includes a broad range of agents and related data/modeling resources that could play a key role in building port communities resilient to natural disasters and environmental impacts of industrial operations in the region. A subsequent section explores possible policy recommendations, disaster management and pollution mitigation techniques that could be designed based on data organized via the information framework. The illustrative scenario analysis discusses the impacts of catastrophic weather events on the US energy sector using US EPA’s MARKAL model. Resulting impacts on energy generation mix, air emissions, and energy prices are presented in detail, in addition to a detailed outline of the modeling technique, and a summary of the overall results.

Description:

Coastal communities constitute ~40% of the total US population, and roughly 50% of the national GDP is attributed to socio-economic activities in these regions. Port system operations and related industries constitute a majority of the industrial activities occurring in the region. This paper presents preliminary results from our work on the development of “FREIDA in Ports”: an interactive information resource and modeling framework for port communities, that may be used to enhance resilience to extreme weather events and enable sustainable development. Because of the complex nature of port activities and its interconnections with the social, political, economic and environmental aspects of the coastal communities, it is often very difficult to map out a comprehensive humanitarian adaptation plan for sustainable port and industrial operations in the region. The framework of information resources includes a broad range of agents and related data/modeling resources that could play a key role in building port communities resilient to natural disasters and environmental impacts of industrial operations in the region. A subsequent section explores possible policy recommendations, disaster management and pollution mitigation techniques that could be designed based on data organized via the information framework. The illustrative scenario analysis discusses the impacts of catastrophic weather events on the US energy sector using US EPA’s MARKAL model. Resulting impacts on energy generation mix, air emissions, and energy prices are presented in detail, in addition to a detailed outline of the modeling technique, and a summary of the overall results.

URLs/Downloads:

GHTC SLIDES_9_28_CLEAN 508 CHECKED.PDF  (PDF, NA pp,  1044.977  KB,  about PDF)

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:10/22/2017
Record Last Revised:07/16/2019
OMB Category:Other
Record ID: 345691