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1744. Addressing explicit demand response in a day-ahead electricity market in Italy: Case study on the diving equipment manufacturing sector
Invited abstract in session MB-14: Flexibility in future energy systems, stream Energy Markets.
Monday, 10:30-12:00Room: 16 (building: 116)
Authors (first author is the speaker)
| 1. | Ehsan Manafi
|
| Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya – BarcelonaTech (UPC) | |
| 2. | Eduard Bullich-Massagué
|
| Centre d’Innovació Tecnològica en Convertidors Estàtics i Accionaments (CITCEA), Universitat Politècnica de Catalunya – BarcelonaTech (UPC) | |
| 3. | Bruno Domenech
|
| Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya – BarcelonaTech (UPC) | |
| 4. | Marc Juanpera
|
| Department of Management, Universitat Politècnica de Catalunya | |
| 5. | Rafael Pastor
|
| Technical University of Catalonia | |
| 6. | Matteo Ranaboldo
|
| Centre d’Innovació Tecnològica en Convertidors Estàtics i Accionaments (CITCEA), Universitat Politècnica de Catalunya – BarcelonaTech (UPC) |
Abstract
Maintaining a balance between electricity generation and consumption is critical for grid stability. While not extensively studied in scheduling problems, explicit (incentive-based) demand response (DR) is an effective strategy to tackle this concern. Here, the ancillary service agrees to customers' proposals to reduce energy consumption during specific time periods. This paper aims to investigate the explicit demand response approach at an Italian company consisting of multiple press machines on the shop floor, specialized in producing diving equipment. A heuristic procedure is developed to propose a baseline production plan and multiple alternative plans, where a subset of machines are deactivated, to provide flexibility services to the market. The several electricity consumptions profiles resulting from the different production plans will be submitted to the ancillary market. During the production, the ancillary service may request the manufacturer for a transition from the baseline to an alternative production plan, in exchange for an agreed monetary incentive. Hence, the proposed heuristic is applied to assess the effectiveness of the incentive-based demand response strategy in the Italian plant. The results indicate that the proposed heuristic amplifies profitability for both the service provider and the manufacturing system.
Keywords
- Scheduling
- Electricity Markets
- Optimization Modeling
Status: accepted
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