TY - JOUR
T1 - Optimal location of coal blending plants by mixed-integer programming
AU - Ravindran, A.
N1 - Funding Information:
Received January 1979; revised February 1980. Paper was handled by Applied Optimization Department. Supported by research grants from the Indiana Academy of Science and the Energy Engineering Center at Purdue University.
PY - 1980/6
Y1 - 1980/6
N2 - In order to meet increasingly stringent environmental standards, coal burned by utilities and industries must be of an acceptable lower sulfur content. One solution suggested in this paper is the establishment of centralized blending plants that could take coals of varying sulfur content and produce a coal product that would meet the coal consumers needs based upon effluent standards. A mixed integer programming model is developed for studying this problem. A case study is presented with coal data for the State of Indiana. Model results on the number of blending plants to be selected, their site locations, optimal blending ratios, transportation configuration, and cost savings are discussed.
AB - In order to meet increasingly stringent environmental standards, coal burned by utilities and industries must be of an acceptable lower sulfur content. One solution suggested in this paper is the establishment of centralized blending plants that could take coals of varying sulfur content and produce a coal product that would meet the coal consumers needs based upon effluent standards. A mixed integer programming model is developed for studying this problem. A case study is presented with coal data for the State of Indiana. Model results on the number of blending plants to be selected, their site locations, optimal blending ratios, transportation configuration, and cost savings are discussed.
UR - http://www.scopus.com/inward/record.url?scp=0019024644&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0019024644&partnerID=8YFLogxK
U2 - 10.1080/05695558008974505
DO - 10.1080/05695558008974505
M3 - Article
AN - SCOPUS:0019024644
SN - 0569-5554
VL - 12
SP - 179
EP - 185
JO - AIIE Transactions
JF - AIIE Transactions
IS - 2
ER -