Mimi Hassim

Dr. Mimi Hassim


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 August 2014 in Agricultural Research
Verified
Journal Article
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YYYasser Yaghoubian
Yasser Yaghoubian
EGEbrahim Mohammadi Goltapeh
Ebrahim Mohammadi Goltapeh
HPHemmatollah Pirdashti
Hemmatollah Pirdashti
EEEzatollah Esfandiari
Ezatollah Esfandiari
VFVali Feiziasl
Vali Feiziasl
MHMimi Hassim
Mimi Hassim


7 March 2014 in Journal of the Air & Waste Management Association
Verified
Journal Article
Closed access
MMMutahharah M. Mokhtar
Mutahharah M. Mokhtar
RTRozainee M. Taib
Rozainee M. Taib
MHMimi Hassim
Mimi Hassim
The Proposed New Environmental Quality (Clean Air) Regulation 201X (Draft), which replaces the Malaysia Environmental Quality (Clean Air) 1978, specifies limits to additional pollutants from power generation using fossil fuel. The new pollutants include Hg, HCl, and HF with limits of 0.03, 100, and 15 mg/N-m3 at 6% O2, respectively. These pollutants are normally present in very small concentrations (known as trace elements [TEs]), and hence are often neglected in environmental air quality monitoring in Malaysia. Following the enactment of the new regulation, it is now imperative to understand the TEs behavior and to assess the capability of the existing abatement technologies to comply with the new emission limits. This paper presents the comparison of TEs behavior of the most volatile (Hg, Cl, F) and less volatile (As, Be, Cd, Cr, Ni, Se, Pb) elements in subbituminous and bituminous coal and coal combustion products (CCP) (i.e., fly ash and bottom ash) from separate firing of subbituminous and bituminous coal in a coal-fired power plant in Malaysia. The effect of air pollution control devices configuration in removal of TEs was also investigated to evaluate the effectiveness of abatement technologies used in the plant. This study showed that subbituminous and bituminous coals and their CCPs have different TEs behavior. It is speculated that ash content could be a factor for such diverse behavior. In addition, the type of coal and the concentrations of TEs in feed coal were to some extent influenced by the emission of TEs in flue gas. The electrostatic precipitator (ESP) and seawater flue gas desulfurization (FGD) used in the studied coal-fired power plant were found effective in removing TEs in particulate and vapor form, respectively, as well as complying with the new specified emission limits.

1 May 2014 in Clean Technologies and Environmental Policy
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Journal Article
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WLWeng Hui Liew
Weng Hui Liew
MHMimi Hassim
Mimi Hassim
Denny K. S. NGDenny K. S. NG
Denny K. S. NG

10 December 2015 in Industrial & Engineering Chemistry Research
Verified
Journal Article
Closed access
WLWeng Hui Liew
Weng Hui Liew
MHMimi Hassim
Mimi Hassim
Denny K. S. NGDenny K. S. NG
Denny K. S. NG
Nishanth Gopalakrishnan ChemmangattuvalappilNishanth Gopalakrishnan Chemmangattuvalappil
Nishanth Gopalakrishnan Chemmangattuvalappil

8 April 2019 in Processes
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Journal Article
Open access
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STShin Yee Teh
Shin Yee Teh
KCKian Boon Chua
Kian Boon Chua
BHBoon Hooi Hong
Boon Hooi Hong
ALAlex J. W. Ling
Alex J. W. Ling
VAViknesh Andiappan
Viknesh Andiappan
Denny K. S. NGDenny K. S. NG
Denny K. S. NG
Due to increasingly stringent legal requirements and escalating environmental control costs, chemical industries have paid close attention to sustainable development without compromising their economic performance. Thus, chemical industries are in need of systematic tools to conduct sustainability assessments of their process/plant design. In order to avoid making costly retrofits at later stages, assessments during the preliminary design stage should be performed. In this paper, a systematic framework is presented for chemical processes at the preliminary design stage. Gross profit, Health Quotient Index (HQI), Inherent Safety Index (ISI) and the Waste Reduction (WAR) algorithm are used to assess the economic performance, health, safety and environmental impact of the process, respectively. The fuzzy optimization approach is used to analyse the trade-off among the four aspects simultaneously, as they often conflict with each other. Deviation between the solution obtained from mathematical optimization model and process simulator is determined to ensure the validity of the model. To demonstrate the proposed framework, a case study on 1, 4-butanediol production is presented.