A multi-period integrated planning and scheduling approach for developing energy systems

被引:8
作者
Allen, Richard Cory [1 ,2 ]
Baratsas, Stefanos G. [1 ,2 ]
Kakodkar, Rahul [1 ,2 ]
Avraamidou, Styliani [2 ]
Demirhan, Cosar Doga [3 ]
Heuberger-Austin, Clara F. [4 ]
Klokkenburg, Mark [4 ]
Pistikopoulos, Efstratios N. [1 ,2 ]
机构
[1] Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX 77843 USA
[2] Texas A&M Univ, Texas A&M Energy Inst, College Stn, TX USA
[3] Shell Int Explorat & Prod Inc, Shell Technol Ctr, Houston, TX USA
[4] Shell Global Solut Int BV, Shell Technol Ctr, Amsterdam, Netherlands
基金
美国国家科学基金会;
关键词
energy systems; mixed-integer linear programming; supply chain optimization; SUPPLY CHAIN MANAGEMENT; POWER; GENERATION; MODEL; TRANSMISSION; ALGORITHM; DESIGN;
D O I
10.1002/oca.2866
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this work, we present a generic multi-period integrated infrastructure planning and operational scheduling approach for developing energy systems. The methodology is applicable to energy systems with multiple resources, locations, processing pathways, and planning periods in which infrastructure decisions can be carried out. The framework incorporates a graph based approach to mode based scheduling, in which the mode transitions are mapped to a directed graph. We illustrate the applicability and effectiveness of the overall framework through the use of a case study examining the long-term development of a multi-site energy-intensive hydrogen based energy system in Texas. In the case study, we find that developing the energy system over the course of its operational life as opposed to the beginning of its operational life reduces its capital and operational cost by over 20%.
引用
收藏
页码:355 / 372
页数:18
相关论文
共 51 条
[1]   INFRASTRUCTURE PLANNING AND OPERATIONAL SCHEDULING FOR POWER GENERATING SYSTEMS: AN ENERGY-WATER NEXUS APPROACH [J].
Allen, R. Cory ;
Nie, Yaling ;
Avraamidou, Styliani ;
Pistikopoulos, Efstratios N. .
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN, 2019, 47 :233-238
[2]   Capacity Planning for Modular and Transportable Infrastructure for Shale Gas Production and Processing [J].
Allen, R. Cory ;
Allaire, Douglas ;
El-Halwagi, Mahmoud M. .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, 58 (15) :5887-5897
[3]  
Allen RC., 2021, P 11 IFAC INT S ADV
[4]   Scheduling-informed optimal design of systems with time-varying operation: A wind-powered ammonia case study [J].
Allman, Andrew ;
Palys, Matthew J. ;
Daoutidis, Prodromos .
AICHE JOURNAL, 2019, 65 (07)
[5]  
[Anonymous], 2012, SUB HOUR SOLAR DATA
[6]   Circular Economy - A challenge and an opportunity for Process Systems Engineering [J].
Avraamidou, Styliani ;
Baratsas, Stefanos G. ;
Tian, Yuhe ;
Pistikopoulos, Efstratios N. .
COMPUTERS & CHEMICAL ENGINEERING, 2020, 133
[7]  
Avraamidoul Styliani, 2018, 2018 European Control Conference (ECC), P1056, DOI 10.23919/ECC.2018.8550351
[8]   Time-series aggregation for synthesis problems by bounding error in the objective function [J].
Bahl, Bjoern ;
Kuempel, Alexander ;
Seele, Hagen ;
Lampe, Matthias ;
Bardow, Andre .
ENERGY, 2017, 135 :900-912
[9]   THE GENERALIZED UNIT COMMITMENT PROBLEM [J].
BALDICK, R .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1995, 10 (01) :465-475
[10]   Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices [J].
Basan, Natalia P. ;
Grossmann, Ignacio E. ;
Gopalakrishnan, Ajit ;
Lotero, Irene ;
Mendez, Carlos A. .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2018, 57 (05) :1581-1592