Industrial peak shaving with battery storage using a probabilistic forecasting approach: Economic evaluation of risk attitude. (1st December 2022)
- Record Type:
- Journal Article
- Title:
- Industrial peak shaving with battery storage using a probabilistic forecasting approach: Economic evaluation of risk attitude. (1st December 2022)
- Main Title:
- Industrial peak shaving with battery storage using a probabilistic forecasting approach: Economic evaluation of risk attitude
- Authors:
- Henni, Sarah
Becker, Jonas
Staudt, Philipp
vom Scheidt, Frederik
Weinhardt, Christof - Abstract:
- Abstract: Industrial peak shaving is a regularly discussed application of battery storage. We introduce the notion of risk attitude in the context of joint industrial peak shaving and frequency containment reserve provision with battery storage. To this end, we combine a probabilistic quantile forecast with a rolling-horizon battery control mechanism. Probabilistic forecasts incorporate prediction uncertainty by generating a distribution of future load. An industrial consumer has an incentive to plan conservatively when reserving battery capacities for peak shaving, as a single missed peak can drive up annual electricity costs steeply in the presence of peak-load charges. However, this limits the potential use of battery storage capacity for other financially attractive applications. We find that extremely risk averse planning behavior can lead to a decrease of up to 10% in economic performance of a battery investment. This loss might be tolerated in exchange for the significantly reduced risk of missing a critical peak. Moreover, moderately risk averse planning behavior does not lead to financial losses in most cases and can even improves economic performance by up to 3% in certain of the evaluated cases. Highlights: Probabilistic quantile forecast to incorporate prediction uncertainty based on a Q-LSTM network. Deployment of probabilistic forecast during battery operation to reflect risk attitude. Evaluation of monetary effects of risk attitude during joint peak-shavingAbstract: Industrial peak shaving is a regularly discussed application of battery storage. We introduce the notion of risk attitude in the context of joint industrial peak shaving and frequency containment reserve provision with battery storage. To this end, we combine a probabilistic quantile forecast with a rolling-horizon battery control mechanism. Probabilistic forecasts incorporate prediction uncertainty by generating a distribution of future load. An industrial consumer has an incentive to plan conservatively when reserving battery capacities for peak shaving, as a single missed peak can drive up annual electricity costs steeply in the presence of peak-load charges. However, this limits the potential use of battery storage capacity for other financially attractive applications. We find that extremely risk averse planning behavior can lead to a decrease of up to 10% in economic performance of a battery investment. This loss might be tolerated in exchange for the significantly reduced risk of missing a critical peak. Moreover, moderately risk averse planning behavior does not lead to financial losses in most cases and can even improves economic performance by up to 3% in certain of the evaluated cases. Highlights: Probabilistic quantile forecast to incorporate prediction uncertainty based on a Q-LSTM network. Deployment of probabilistic forecast during battery operation to reflect risk attitude. Evaluation of monetary effects of risk attitude during joint peak-shaving and frequency containment reserve provision. … (more)
- Is Part Of:
- Applied energy. Volume 327(2022)
- Journal:
- Applied energy
- Issue:
- Volume 327(2022)
- Issue Display:
- Volume 327, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 327
- Issue:
- 2022
- Issue Sort Value:
- 2022-0327-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-01
- Subjects:
- Battery storage -- Industrial peak shaving -- Probabilistic forecast -- Risk
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2022.120088 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24159.xml