TY - JOUR
T1 - Optimal scheduling of a dairy industry based on energy hub considering renewable energy and ice storage
AU - Pazmiño-Arias, André
AU - Briceño-León, Marco
AU - Clairand, Jean Michel
AU - Serrano-Guerrero, Xavier
AU - Escrivá-Escrivá, Guillermo
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/12/1
Y1 - 2023/12/1
N2 - The use of energy in industrial processes is a vital aspect of their proper functioning and productivity. However, with the increasing demand for energy and the need for more sustainable energy sources, managing energy efficiently has become crucial for industries. In this context, energy management systems (EMS) have emerged as a solution to integrate different energy sources and optimize their use. This work proposes a model for the optimal scheduling of a dairy industry based on an energy hub, considering the integration of renewable energy sources and Ice Storage. The proposed model aims to minimize daily operating costs by satisfying the electrical and thermal demands of the industrial process while considering the availability and costs of different energy sources. The model takes into account the use of microturbines (MT), photovoltaic (PV) sources, wind generation (WT), electrical storage systems (ESS), and energy from the electrical grid for the generation of electrical energy, and a boiler and an Ice Storage for thermal energy. A case study is conducted in this paper at the dairy farm belonging to UDLA in Nono, Ecuador, where the advantages of the proposed energy hub model for the dairy industry are analyzed. The suggested scheduling optimization model is solved using Pyomo library with a mixed integer linear programming method showing the benefits of including Ice Storage Systems and renewable energy.
AB - The use of energy in industrial processes is a vital aspect of their proper functioning and productivity. However, with the increasing demand for energy and the need for more sustainable energy sources, managing energy efficiently has become crucial for industries. In this context, energy management systems (EMS) have emerged as a solution to integrate different energy sources and optimize their use. This work proposes a model for the optimal scheduling of a dairy industry based on an energy hub, considering the integration of renewable energy sources and Ice Storage. The proposed model aims to minimize daily operating costs by satisfying the electrical and thermal demands of the industrial process while considering the availability and costs of different energy sources. The model takes into account the use of microturbines (MT), photovoltaic (PV) sources, wind generation (WT), electrical storage systems (ESS), and energy from the electrical grid for the generation of electrical energy, and a boiler and an Ice Storage for thermal energy. A case study is conducted in this paper at the dairy farm belonging to UDLA in Nono, Ecuador, where the advantages of the proposed energy hub model for the dairy industry are analyzed. The suggested scheduling optimization model is solved using Pyomo library with a mixed integer linear programming method showing the benefits of including Ice Storage Systems and renewable energy.
KW - Combined Cooling Heating and Power (CCHP)
KW - Dairy industry
KW - Energy hub
KW - Ice storage
KW - Renewable energy sources
UR - http://www.scopus.com/inward/record.url?scp=85176442674&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2023.139580
DO - 10.1016/j.jclepro.2023.139580
M3 - Article
AN - SCOPUS:85176442674
SN - 0959-6526
VL - 429
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 139580
ER -