TY - JOUR
T1 - Optimal Design of a Trigeneration Plant using Fuzzy Linear Programming with Global Sensitivity Analysis on Product Price Uncertainty
AU - Gue, Ivan Henderson V.
AU - Ubando, Aristotle T.
AU - Aviso, Kathleen B.
AU - Tan, Raymond R.
N1 - Publisher Copyright:
© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.
PY - 2019
Y1 - 2019
N2 - A trigeneration system consists of interdependent technologies for power generation, heat generation, and the generation of cooling effect which leads to the overall improved thermodynamic efficiency of the system. However, the optimal design of a trigeneration system also depends on the product price variability of the energy streams which are highly dependent on the price of the raw materials and the product demand. Taking into consideration expected price fluctuations of streams, it is then possible for plant owners and engineers to evaluate the investment risk associated with the design capacity of a trigeneration system. The study proposes the use of a 2k factorial design of experiments together with fuzzy linear programming to conduct a price sensitivity analysis in the optimal design of a trigeneration system. This type of analysis can provide plant owners information on possible configurations for optimal capacity given uncertainty in the price parameters.
AB - A trigeneration system consists of interdependent technologies for power generation, heat generation, and the generation of cooling effect which leads to the overall improved thermodynamic efficiency of the system. However, the optimal design of a trigeneration system also depends on the product price variability of the energy streams which are highly dependent on the price of the raw materials and the product demand. Taking into consideration expected price fluctuations of streams, it is then possible for plant owners and engineers to evaluate the investment risk associated with the design capacity of a trigeneration system. The study proposes the use of a 2k factorial design of experiments together with fuzzy linear programming to conduct a price sensitivity analysis in the optimal design of a trigeneration system. This type of analysis can provide plant owners information on possible configurations for optimal capacity given uncertainty in the price parameters.
UR - https://www.scopus.com/pages/publications/85063885346
UR - https://www.scopus.com/pages/publications/85063885346#tab=citedBy
U2 - 10.1016/j.egypro.2019.01.617
DO - 10.1016/j.egypro.2019.01.617
M3 - Conference article
AN - SCOPUS:85063885346
SN - 1876-6102
VL - 158
SP - 2176
EP - 2181
JO - Energy Procedia
JF - Energy Procedia
T2 - 10th International Conference on Applied Energy, ICAE 2018
Y2 - 22 August 2018 through 25 August 2018
ER -