Agent-based model for sustainable equipment expansion with co2 reduction of a container port

Conserving port environment is gaining attention, seeing local port authorities beginning to establish green policies as a normative direction into container port expansion. However, there are conflicts among port authorities, port planners, port stakeholders in converting port equipment with carbon...

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Main Author:	Yong, Jonathan Chung Ee
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/79594/1/JonathanChungEePFKM2017.pdf
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id	my-utm-ep.79594
record_format	uketd_dc
spelling	my-utm-ep.795942018-10-31T13:00:25Z Agent-based model for sustainable equipment expansion with co2 reduction of a container port 2017 Yong, Jonathan Chung Ee TJ Mechanical engineering and machinery Conserving port environment is gaining attention, seeing local port authorities beginning to establish green policies as a normative direction into container port expansion. However, there are conflicts among port authorities, port planners, port stakeholders in converting port equipment with carbon reducing technology. This attributes to the absence of electrification approach in port expansion process. This research aims to propose a sustainable equipment expansion approach by an agent-based model (ABM) to quantify carbon-reducing equipment profile that complies with an emission reduction standard (ERS). The approach simulates the port sustainability transition from port agent interaction that determines the expansion design approach. A combination of fundamental port expansion theories and an electrification logic are developed to simulate the carbon-reducing expansion profile. It is to meet the required CO2 emission reduction standard while not forfeiting financial performance. An agent-based simulator (NETLOGO) is programmed to simulate port sustainability transition and the sustainable expansion profile. The results of PTP case study indicate that it is able to electrify all equipments by 2043. Results also indicate a viable green policy implemented at 4.5% yearly CO2 reduction starting at 2024 while meeting the required port capacity and financial performance. Analysis infers the futility of imposing high emission reduction percentage and the execution of more conversions at higher throughput demand phase. In conclusion, ABM model can be a decision-making support system for the port community to execute appropriate emission reduction standard percentage and time to realise the green port concept. 2017 Thesis http://eprints.utm.my/id/eprint/79594/ http://eprints.utm.my/id/eprint/79594/1/JonathanChungEePFKM2017.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Yong, Jonathan Chung Ee Agent-based model for sustainable equipment expansion with co2 reduction of a container port
description	Conserving port environment is gaining attention, seeing local port authorities beginning to establish green policies as a normative direction into container port expansion. However, there are conflicts among port authorities, port planners, port stakeholders in converting port equipment with carbon reducing technology. This attributes to the absence of electrification approach in port expansion process. This research aims to propose a sustainable equipment expansion approach by an agent-based model (ABM) to quantify carbon-reducing equipment profile that complies with an emission reduction standard (ERS). The approach simulates the port sustainability transition from port agent interaction that determines the expansion design approach. A combination of fundamental port expansion theories and an electrification logic are developed to simulate the carbon-reducing expansion profile. It is to meet the required CO2 emission reduction standard while not forfeiting financial performance. An agent-based simulator (NETLOGO) is programmed to simulate port sustainability transition and the sustainable expansion profile. The results of PTP case study indicate that it is able to electrify all equipments by 2043. Results also indicate a viable green policy implemented at 4.5% yearly CO2 reduction starting at 2024 while meeting the required port capacity and financial performance. Analysis infers the futility of imposing high emission reduction percentage and the execution of more conversions at higher throughput demand phase. In conclusion, ABM model can be a decision-making support system for the port community to execute appropriate emission reduction standard percentage and time to realise the green port concept.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Yong, Jonathan Chung Ee
author_facet	Yong, Jonathan Chung Ee
author_sort	Yong, Jonathan Chung Ee
title	Agent-based model for sustainable equipment expansion with co2 reduction of a container port
title_short	Agent-based model for sustainable equipment expansion with co2 reduction of a container port
title_full	Agent-based model for sustainable equipment expansion with co2 reduction of a container port
title_fullStr	Agent-based model for sustainable equipment expansion with co2 reduction of a container port
title_full_unstemmed	Agent-based model for sustainable equipment expansion with co2 reduction of a container port
title_sort	agent-based model for sustainable equipment expansion with co2 reduction of a container port
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2017
url	http://eprints.utm.my/id/eprint/79594/1/JonathanChungEePFKM2017.pdf
_version_	1747818264583471104

Agent-based model for sustainable equipment expansion with co2 reduction of a container port

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