Evaluating dredging and offshore loading locations for U.S. coal exports using the local logistics system

Lim

2009

Geographical Analysis

248

103

Increased interest in alternative fuels is attributable, in part, to rising oil prices and increasing concern about global warming. A lack of a refueling infrastructure, however, has inhibited the adoption of alternative‐fuel vehicles. Little economic incentive exists to mass‐produce alternative‐fuel vehicles until a network of stations exists that can refuel a reasonable number of trips. The flow refueling location model (FRLM) was developed to minimize the investment necessary to create a refueling infrastructure by optimizing the location of fueling stations. The original uncapacitated FRLM assumes that the presence of a refueling station is sufficient to serve all flows passing through a node, regardless of their volume. This article introduces the capacitated flow refueling location model that limits the number of vehicles refueled at each station. It also introduces a modified objective function maximizing vehicle‐miles traveled instead of trips, applies both models to an intercity network for Arizona, and formulates several other extensions.

Section: Directions For Future Researchmentioning

confidence: 99%

A Model for Location of Capacitated Alternative‐Fuel Stations

Upchurch

Lim

2009

Geographical Analysis

248

103

“…The y ijd variable indicates whether or not a pipeline of diameter d is built from i to j. The choice of several possible discrete pipeline diameters, each with its particular fixed cost and capacity, enables economies of scale to be represented in the model in a manner similar to how Osleeb et al (1986) modeled different sizes of coal port handling equipment. Constraints ( 2) and ( 3) require that if a pipeline is built, the CO 2 flow through the pipeline must be less than the maximum capacity and greater than the minimum capacity.…”

Section: Decision Variablesmentioning

confidence: 99%

Optimal Spatial Deployment of CO2 Capture and Storage Given a Price on Carbon

International Regional Science Review

Bielicki

Middleton

2011

Carbon dioxide capture and storage (CCS) links together technologies that separate carbon dioxide (CO2) from fixed point source emissions and transport it by pipeline to geologic reservoirs into which it is injected underground for long-term containment. Previously, models have been developed to minimize the cost of a CCS infrastructure network that captures a given amount of CO2. The CCS process can be costly, however, and large-scale implementation by industry will require government regulations and economic incentives. The incentives can price CO2 emissions through a tax or a cap-and-trade system. This paper extends the earlier mixed-integer linear programming model to endogenously determine the optimal quantity of CO2 to capture and optimize the various components of a CCS infrastructure network, given the price per tonne to emit CO2 into the atmosphere. The spatial decision support system first generates a candidate pipeline network and then minimizes the total cost of capturing, transporting, storing, or emitting CO2. To illustrate how the new model based on CO2 prices works, it is applied to a case study of CO2 sources, reservoirs, and candidate pipeline links and diameters in California.

“…Ben-Ayed et al (1992) developed a model for rural roads in developing countries with continuous link capacities based on incremental improvements, solved via bi-level linear programming. Osleeb et al (1986) used mixed-integer programming to choose among several projects at each coal port, each with unique ®xed and variable costs that imply a piecewise linear cost function with economies of scale. Di¨erent link capacities also arises in the context of airline networks, with economies of scale according to plane size (Kuby and Gray 1993;Branhart and Schneur 1996).…”

Section: Literature Reviewmentioning

confidence: 99%

Railway network design with multiple project stages and time sequencing

Xu²,

Xie³

2001

J Geograph Syst

This paper presents a spatial decision support system for network design problems in which di¨erent kinds of projects can be built in stages over time. It was developed by the World Bank and China's Ministry of Railways to plan investment strategies for China's overburdened railway system. We ®rst present a mixed-integer program for the single-period network design problem with project choices such as single or multiple tracks and/or electri®cation with economies of scale. Then, because such projects can be built all at once or in stages, we developed a heuristic backwards time sequencing procedure with a cost adjustment factor to solve the``project staging'' problem. Other innovations include a preloading routine; coordinated modeling of arcs, paths, and corridors; and a custom-built GIS.