Optimal management with demand response program for a multi-generation energy system
The optimal management of a multi-generation energy system is one of the challenges that an ever-growing energy demand requires to deal with. To tackle this urgent issue, this paper presents a methodology to identify the optimal dispatching strategy for a multi-generation energy system. The so-calle...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Energy Conversion and Management: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174522001349 |
| _version_ | 1797985463740399616 |
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| author | Hilal Bahlawan Giulia Anna Maria Castorino Enzo Losi Lucrezia Manservigi Pier Ruggero Spina Mauro Venturini |
| author_facet | Hilal Bahlawan Giulia Anna Maria Castorino Enzo Losi Lucrezia Manservigi Pier Ruggero Spina Mauro Venturini |
| author_sort | Hilal Bahlawan |
| collection | DOAJ |
| description | The optimal management of a multi-generation energy system is one of the challenges that an ever-growing energy demand requires to deal with. To tackle this urgent issue, this paper presents a methodology to identify the optimal dispatching strategy for a multi-generation energy system. The so-called time-of-use rate is one of the main time-based demand response programs which allows shifting the critical loads from a time interval to another (e.g., shifting electricity use to lower-priced hours of a day when demand is lower). Thus, the time-of-use rate is adopted in this paper in order to add flexibility to the management of the multi-generation energy system and thus optimize the interaction between energy production and user demand.In this paper, the goal is the minimization of primary energy consumption or operating costs. Whatever the considered objective function, the goal can be achieved by simultaneously acting on two levels, i.e., optimization of the demand response program and identification of the most favorable management strategy of the multi-generation energy system. A mixed-integer linear programming algorithm is employed to identify the optimal strategy. The case study considers an entire year of operation with a time step of one hour, by means of a real-world load profile. The proposed methodology allows both saving primary energy (more than 1%) and reducing operating costs (more than 8%). The proposed methodology demonstrates that the implementation of a demand response program within the optimal strategy for energy dispatch allows both saving primary energy and reducing operating costs with respect to the baseline scenario (i.e., no load shifting). The reduction of both primary energy consumption and operational costs is higher in the scenario with higher load shifting (in this paper, 30% of the daily electrical energy peak). |
| first_indexed | 2024-04-11T07:18:32Z |
| format | Article |
| id | doaj.art-2f103b1959fa4dee879f3e9d3e53e5cf |
| institution | Directory Open Access Journal |
| issn | 2590-1745 |
| language | English |
| last_indexed | 2024-04-11T07:18:32Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj.art-2f103b1959fa4dee879f3e9d3e53e5cf2022-12-22T04:37:50ZengElsevierEnergy Conversion and Management: X2590-17452022-12-0116100311Optimal management with demand response program for a multi-generation energy systemHilal Bahlawan0Giulia Anna Maria Castorino1Enzo Losi2Lucrezia Manservigi3Pier Ruggero Spina4Mauro Venturini5Dipartimento di Ingegneria, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, ItalyDipartimento di Studi Umanistici, Università degli Studi Di Ferrara, via Paradiso 12, 44121 Ferrara, Italy; Corresponding author.Dipartimento di Ingegneria, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, ItalyDipartimento di Ingegneria, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, ItalyDipartimento di Ingegneria, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, ItalyDipartimento di Ingegneria, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, ItalyThe optimal management of a multi-generation energy system is one of the challenges that an ever-growing energy demand requires to deal with. To tackle this urgent issue, this paper presents a methodology to identify the optimal dispatching strategy for a multi-generation energy system. The so-called time-of-use rate is one of the main time-based demand response programs which allows shifting the critical loads from a time interval to another (e.g., shifting electricity use to lower-priced hours of a day when demand is lower). Thus, the time-of-use rate is adopted in this paper in order to add flexibility to the management of the multi-generation energy system and thus optimize the interaction between energy production and user demand.In this paper, the goal is the minimization of primary energy consumption or operating costs. Whatever the considered objective function, the goal can be achieved by simultaneously acting on two levels, i.e., optimization of the demand response program and identification of the most favorable management strategy of the multi-generation energy system. A mixed-integer linear programming algorithm is employed to identify the optimal strategy. The case study considers an entire year of operation with a time step of one hour, by means of a real-world load profile. The proposed methodology allows both saving primary energy (more than 1%) and reducing operating costs (more than 8%). The proposed methodology demonstrates that the implementation of a demand response program within the optimal strategy for energy dispatch allows both saving primary energy and reducing operating costs with respect to the baseline scenario (i.e., no load shifting). The reduction of both primary energy consumption and operational costs is higher in the scenario with higher load shifting (in this paper, 30% of the daily electrical energy peak).http://www.sciencedirect.com/science/article/pii/S2590174522001349Multi-generation energy systemEnergy managementDemand responseDispatchMILP algorithm |
| spellingShingle | Hilal Bahlawan Giulia Anna Maria Castorino Enzo Losi Lucrezia Manservigi Pier Ruggero Spina Mauro Venturini Optimal management with demand response program for a multi-generation energy system Energy Conversion and Management: X Multi-generation energy system Energy management Demand response Dispatch MILP algorithm |
| title | Optimal management with demand response program for a multi-generation energy system |
| title_full | Optimal management with demand response program for a multi-generation energy system |
| title_fullStr | Optimal management with demand response program for a multi-generation energy system |
| title_full_unstemmed | Optimal management with demand response program for a multi-generation energy system |
| title_short | Optimal management with demand response program for a multi-generation energy system |
| title_sort | optimal management with demand response program for a multi generation energy system |
| topic | Multi-generation energy system Energy management Demand response Dispatch MILP algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2590174522001349 |
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