Mohammad Roni

Dr. Mohammad Roni


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 October 2017 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
MRMohammad Roni
Mohammad Roni
SCSudipta Chowdhury
Sudipta Chowdhury
SMSaleh Mamun
Saleh Mamun
MMMohammad Marufuzzaman
Mohammad Marufuzzaman
WLWilliam Lein
William Lein
SJSamuel Johnson
Samuel Johnson

1 October 2015 in Bioresource Technology
Verified
Journal Article
Open access
PLPatrick Lamers
Patrick Lamers
MRMohammad Roni
Mohammad Roni
Jaya Shankar TumuluruJaya Shankar Tumuluru
Jaya Shankar Tumuluru
JJJacob J. Jacobson
Jacob J. Jacobson
KCKara G. Cafferty
Kara G. Cafferty
BBBryan Bals
Bryan Bals
Decentralized biomass processing facilities, known as biomass depots, may be necessary to achieve feedstock cost, quantity, and quality required to grow the future U.S. bioeconomy. In this paper, we assess three distinct depot configurations for technical difference and economic performance. The depot designs were chosen to compare and contrast a suite of capabilities that a depot could perform ranging from conventional pelleting to sophisticated pretreatment technologies. Our economic analyses indicate that depot processing costs are likely to range from ∼US$30 to US$63 per dry metric tonne (Mg), depending upon the specific technology implemented and the energy consumption for processing equipment such as grinders and dryers. We conclude that the benefits of integrating depots into the overall biomass feedstock supply chain will outweigh depot processing costs and that incorporation of this technology should be aggressively pursued.

1 November 2019 in Applied Energy
Verified
Journal Article
Closed access
MRMohammad Roni
Mohammad Roni
DTDavid N. Thompson
David N. Thompson
DHDamon S. Hartley
Damon S. Hartley

1 November 2019 in Transportation Research Part D: Transport and Environment
Verified
Journal Article
Closed access
MRMohammad Roni
Mohammad Roni
ZYZonggen Yi
Zonggen Yi
JSJohn G. Smart
John G. Smart

9 January 2016 in Annals of Operations Research
Verified
Journal Article
Closed access
PDF file
MRMohammad Roni
Mohammad Roni
SESandra Eksioglu
Sandra Eksioglu
KCKara G. Cafferty
Kara G. Cafferty
JJJacob J. Jacobson
Jacob J. Jacobson

30 June 2015 in Environmental Management
Verified
Journal Article
Open access
PDF file
PLPasi T Lautala
Pasi T Lautala
MHMichael R. Hilliard
Michael R. Hilliard
EWErin Webb
Erin Webb
IBIngrid Busch
Ingrid Busch
JHJ. Richard Hess
J. Richard Hess
TLTuuli Laitinen
Tuuli Laitinen
The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term ‘supply chain’ covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmost importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. The paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Finally gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study.