Operational optimization of a grid-connected factory with onsite photovoltaic and battery storage systems
•A scheduling approach is presented for factories with onsite PV and battery systems.•Significant cost savings are demonstrated in the optimal scheduling solution.•Optimal schedules are used in economic analysis of varying PV and battery sizes. Driven by fast advancements in wind and photovoltaic (P...
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| Vydáno v: | Applied energy Ročník 205; s. 1538 - 1547 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.11.2017
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| ISSN: | 0306-2619, 1872-9118 |
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| Abstract | •A scheduling approach is presented for factories with onsite PV and battery systems.•Significant cost savings are demonstrated in the optimal scheduling solution.•Optimal schedules are used in economic analysis of varying PV and battery sizes.
Driven by fast advancements in wind and photovoltaic (PV) technologies, onsite renewable electricity generation is becoming attractive to manufacturers since they are able to reduce electricity purchases from the grid and may lower their electricity costs. This paper proposes a methodology to minimize the electricity cost of a grid-connected factory that also has onsite solar power generation and battery storage. Purchases from the grid are subject to time-of-use electricity rate schedules. The problem is formulated asa mixed-integer programming problem and GAMS is used to find the optimal manufacturing and onsite energy flow schedules that have the minimal electricity cost. A case study with one hybrid flow shop, onsite PV power generation, and a battery was used to test the proposed method. Testing results showed that the factory’s electricity cost can be reduced by 54.0% under summer TOU rate on a typical day while a 0.7% electricity cost reduction can be achieved for a representative day under a winter TOU rate. An annual electricity cost savings of 28.1% can be obtained with the optimal schedules. In addition, a parametric study incorporating the optimal schedules was performed to understand the economic performances associated with different PV capacity and battery bank size for the factory. |
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| AbstractList | Driven by fast advancements in wind and photovoltaic (PV) technologies, onsite renewable electricity generation is becoming attractive to manufacturers since they are able to reduce electricity purchases from the grid and may lower their electricity costs. This paper proposes a methodology to minimize the electricity cost of a grid-connected factory that also has onsite solar power generation and battery storage. Purchases from the grid are subject to time-of-use electricity rate schedules. The problem is formulated asa mixed-integer programming problem and GAMS is used to find the optimal manufacturing and onsite energy flow schedules that have the minimal electricity cost. A case study with one hybrid flow shop, onsite PV power generation, and a battery was used to test the proposed method. Testing results showed that the factory’s electricity cost can be reduced by 54.0% under summer TOU rate on a typical day while a 0.7% electricity cost reduction can be achieved for a representative day under a winter TOU rate. An annual electricity cost savings of 28.1% can be obtained with the optimal schedules. In addition, a parametric study incorporating the optimal schedules was performed to understand the economic performances associated with different PV capacity and battery bank size for the factory. •A scheduling approach is presented for factories with onsite PV and battery systems.•Significant cost savings are demonstrated in the optimal scheduling solution.•Optimal schedules are used in economic analysis of varying PV and battery sizes. Driven by fast advancements in wind and photovoltaic (PV) technologies, onsite renewable electricity generation is becoming attractive to manufacturers since they are able to reduce electricity purchases from the grid and may lower their electricity costs. This paper proposes a methodology to minimize the electricity cost of a grid-connected factory that also has onsite solar power generation and battery storage. Purchases from the grid are subject to time-of-use electricity rate schedules. The problem is formulated asa mixed-integer programming problem and GAMS is used to find the optimal manufacturing and onsite energy flow schedules that have the minimal electricity cost. A case study with one hybrid flow shop, onsite PV power generation, and a battery was used to test the proposed method. Testing results showed that the factory’s electricity cost can be reduced by 54.0% under summer TOU rate on a typical day while a 0.7% electricity cost reduction can be achieved for a representative day under a winter TOU rate. An annual electricity cost savings of 28.1% can be obtained with the optimal schedules. In addition, a parametric study incorporating the optimal schedules was performed to understand the economic performances associated with different PV capacity and battery bank size for the factory. |
| Author | Sutherland, John W. Zhang, Hao Cai, Jie Fang, Kan Zhao, Fu |
| Author_xml | – sequence: 1 givenname: Hao orcidid: 0000-0003-1045-4551 surname: Zhang fullname: Zhang, Hao organization: Ray W. Herrick Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA – sequence: 2 givenname: Jie orcidid: 0000-0002-2118-0907 surname: Cai fullname: Cai, Jie email: cai40@purdue.edu organization: Ray W. Herrick Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA – sequence: 3 givenname: Kan surname: Fang fullname: Fang, Kan organization: College of Management and Economics, Tianjin University, China – sequence: 4 givenname: Fu surname: Zhao fullname: Zhao, Fu organization: School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA – sequence: 5 givenname: John W. surname: Sutherland fullname: Sutherland, John W. organization: Division of Environmental and Ecological Engineering, Purdue University, West Lafayette, IN 47907, USA |
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| Snippet | •A scheduling approach is presented for factories with onsite PV and battery systems.•Significant cost savings are demonstrated in the optimal scheduling... Driven by fast advancements in wind and photovoltaic (PV) technologies, onsite renewable electricity generation is becoming attractive to manufacturers since... |
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| SubjectTerms | batteries case studies cost effectiveness electricity electricity costs electricity generation Energy optimization manufacturing Manufacturing scheduling Mixed-integer programming Onsite renewable generation power generation solar energy summer wind winter |
| Title | Operational optimization of a grid-connected factory with onsite photovoltaic and battery storage systems |
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