TY - JOUR
T1 - A MILP-based operational decision-making methodology for demand-side management applied to desalinated water supply systems supported by a solar photovoltaic plant
T2 - A case study in agricultural industry
AU - Vergara-Fernandez, Luis
AU - Aguayo, Maichel M.
AU - Moran, Luis
AU - Obreque, Carlos
N1 - Funding Information:
The authors thank ANID for the financial support given through the Project FONDAP No. 15110019. They also thank the editor and two anonymous reviewers for their constructive comments, which helped improve the paper.
Publisher Copyright:
© 2021
PY - 2022/2/1
Y1 - 2022/2/1
N2 - In the field of water management, desalination industry has faced various economic and environmental challenges. Renewable energies and the incorporation of operational strategies such as demand-side management have been able to contribute with the aim of facing them. Nonetheless, it is necessary to continue studying demand-side management for water supply systems emphasising it as a strategic tool to make operational decisions. This article presents a methodology based on a novel Mixed-Integer Linear Programming model in order to program the operation of a seawater reverse osmosis desalination plant with one pumping station for a desertic remote agricultural zone, in accordance with the principles of demand-side management. A photovoltaic solar plant connected to the grid is considered as a renewable energy source. The mathematical model aims to establish the optimal hourly operating load of the system that minimises the daily margin of purchased electricity costs minus sales income of generated electricity. The case study where the methodology is tested is an agricultural area in Northern Chile. The proposed methodology in this paper establishes the basis for future research and industrial applications, considering that it can be generalised to other geographical situations, as well as being modifiable to be adapted for more complex water supply systems and/or other renewable energy sources.
AB - In the field of water management, desalination industry has faced various economic and environmental challenges. Renewable energies and the incorporation of operational strategies such as demand-side management have been able to contribute with the aim of facing them. Nonetheless, it is necessary to continue studying demand-side management for water supply systems emphasising it as a strategic tool to make operational decisions. This article presents a methodology based on a novel Mixed-Integer Linear Programming model in order to program the operation of a seawater reverse osmosis desalination plant with one pumping station for a desertic remote agricultural zone, in accordance with the principles of demand-side management. A photovoltaic solar plant connected to the grid is considered as a renewable energy source. The mathematical model aims to establish the optimal hourly operating load of the system that minimises the daily margin of purchased electricity costs minus sales income of generated electricity. The case study where the methodology is tested is an agricultural area in Northern Chile. The proposed methodology in this paper establishes the basis for future research and industrial applications, considering that it can be generalised to other geographical situations, as well as being modifiable to be adapted for more complex water supply systems and/or other renewable energy sources.
KW - Agricultural industry
KW - Demand-side management
KW - Optimisation model
KW - Solar energy
KW - Sustainable production
KW - Water management
UR - http://www.scopus.com/inward/record.url?scp=85121920555&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2021.130123
DO - 10.1016/j.jclepro.2021.130123
M3 - Article
AN - SCOPUS:85121920555
SN - 0959-6526
VL - 334
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 130123
ER -