DuPont Tate & Lyle Bio Products announces facility expansion for bio-based propanediol

2018 ◽  
Vol 2018 (5) ◽  
pp. 2
Keyword(s):  
Ports 2016 ◽  
2016 ◽  
Author(s):  
Kelly M. Jacobson ◽  
Jonathan E. Thomas ◽  
William J. Bohlen ◽  
Jason Hull ◽  
Joshua L. Martinez
Keyword(s):  

Author(s):  
Matt Clark

Olmsted County is currently expanding their existing waste-to-energy facility in Rochester, Minnesota to add a third mass burn waste combustor. The new unit will have a capacity of 200 TPD, effectively doubling the size of the existing capacity. This paper will discuss some of the unique aspects of this project and review the current status. Some of the interesting and unique features to be discussed include: 1. Environmental Permitting – The county decided to do a voluntary EIS. 2. Project approach – The county is using a Construction Manager at Risk approach for construction of the facility. 3. Engineering – The engineering scope includes several separate procurements of major equipment packages, balance of plant design and several auxiliary projects related to the ‘utility’ system. 4. Operator Collaboration – Olmsted County is one of a few public owners that operate their facility. Their knowledge of the existing facility and of operating a mass burn facility has been used extensively in the planning and design of the new unit.


Author(s):  
Thomas M. Henderson ◽  
Leah K. Richter

Palm Beach County (Florida) Solid Waste Authority built an integrated solid waste management system in the 1980s and 1990s around an 1,800 tpd Refuse Derived Fuel (RDF) Waste-to-Energy (WTE) facility. The system included a network of five regional transfer stations, Subtitle D sanitary landfill, recovered materials processing facility, composting facility, metals processing facility and household hazardous waste collection program. The WTE, which became operational in 1989, was built with two 900 tpd RDF combustion units. Space was provided for the addition of a third combustion unit, a second turbine-generator and an extra flue was installed in the facility’s stack. By 2004, the WTE was fifteen years old. It had been running at over 125% availability and well above its nominal capacity for almost a decade. Landfill capacity was being consumed at a rate which would see it filled in less than 20 years. The County had been hit with repeated hurricanes in recent years and the County’s population was continuing to grow making landfill capacity projections far from certain. The Authority began an assessment of its long term capacity options which included renovation of its existing WTE facility, expansion of that facility, development of a new WTE facility, development of a new Subtitle D Landfill and several out-of-county options. This paper will focus on the results of this assessment with emphasis on the current efforts to develop a new Mass Burn WTE facility with a capacity of 3,000 tpd and a commercial operations date of 2015. It will be the largest new WTE built in North America in more than 20 years. The choice of Mass Burn technology, facility and combustion module sizing, air pollution control technology, facility site selection, environmental permitting, public outreach program, project financing and procurement and contracting approach will be discussed.


2018 ◽  
Vol 7 (4.30) ◽  
pp. 342
Author(s):  
K.G. Tay ◽  
Y.Y. Choy ◽  
C.C. Chew

Electricity consumption forecasting is important for effective operation, planning and facility expansion of power system.  Accurate forecasts can save operating and maintenance costs, increased the reliability of power supply and delivery system, and correct decisions for future development.  There is a great development of Universiti Tun Hussein Onn Malaysia (UTHM) infrastructure since its formation in 1993. The development will be accompanied with the increasing demand of electricity.  Hence, there is a need to forecast the UTHM electricity consumption for future decisions on generating electric power, load switching, and infrastructure development. Therefore, in this study, the Fuzzy time series (FTS) with trapezoidal membership function was implemented on the UTHM monthly electricity consumption from January 2011 to December 2017 to forecast January to December 2018 monthly electricity consumption.  The procedure of the FTS and trapezoidal membership function was described together with January data.  FTS is able to forecast UTHM electricity consumption quite well.


Author(s):  
Julian Scott Yeomans ◽  
Raha Imanirad

Public sector decision-making typically involves complex problems that are riddled with competing performance objectives and possess design requirements which are difficult to capture at the time that supporting decision models are constructed. Environmental policy formulation can prove additionally complicated because the various system components often contain considerable stochastic uncertainty and there are frequently numerous stakeholders holding completely incompatible perspectives. Consequently, there are invariably unmodelled performance design issues, not apparent at the time of the problem formulation, which can greatly impact the acceptability of any proposed solutions. While a mathematically optimal solution might provide the best solution to a modelled problem, normally this will not be the best solution to the underlying real problem. Therefore, in public environmental policy formulation, it is generally preferable to be able to create several quantifiably good alternatives that provide very different approaches and perspectives to the problem. This study shows how a computationally efficient simulation optimization approach that combines evolutionary optimization with simulation can be used to generate multiple policy alternatives that satisfy required system criteria and are maximally different in decision space. The efficacy of this modelling-to-generate-alternatives method is demonstrated on a municipal sol- id waste management facility expansion case.


Author(s):  
Julian Scott Yeomans ◽  
Yavuz Gunalay

Public sector decision-making typically involves complex problems that are riddled with incompatible performance objectives and possess competing design requirements which are very difficult – if not impossible – to quantify and capture when supporting decision models need to be constructed. There are invariably unmodelled design issues, not apparent at the time of model creation, which can greatly impact the acceptability of the solutions proposed by the model. Consequently, it is generally preferable to create several quantifiably good alternatives that provide multiple, disparate perspectives and very different approaches to the particular problem. These alternatives should possess near-optimal objective measures with respect to the known modelled objective(s), but be fundamentally different from each other in terms of the system structures characterized by their decision variables. By generating a set of very different solutions, it is hoped that some of the dissimilar alternatives can provide very different perspectives that may serve to satisfy the unmodelled objectives. This study shows how simulation-optimization (SO) modelling can be combined with niching operators to efficiently generate multiple policy alternatives that satisfy required system performance criteria in stochastically uncertain environments and yet are maximally different in the decision space. This new stochastic approach is very computationally efficient, since it permits the simultaneous generation of good solution alternatives in a single computational run of the SO algorithm. The efficacy and efficiency of this modelling-to-generate-alternatives (MGA) method is specifically demonstrated on a municipal solid waste management facility expansion case.


2011 ◽  
Vol 6 (04) ◽  
pp. 239-247 ◽  
Author(s):  
Christopher Jablonowski ◽  
Hariharan Ramachandran ◽  
Leon Lasdon
Keyword(s):  

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