Optimal demand-side response to electricity spot prices for storage-type customers

Daryanian, B.; Bohn, Roger E.; Tabors, Richard D.

doi:10.1109/59.32577

Cited by 161 publications

(44 citation statements)

References 4 publications

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“…The convex hull reformulation can be written with constraints (2) - (7). Note that M 2,p,g,m is the maximum production of product g in mode m.…”

Section: Production Modes and Feasible Regionmentioning

confidence: 99%

“…An initial approach by Daryanian et al (1989) shows the economic benefit of demand response for air separation plants, but does not consider discrete operating decisions such as equipment shutdowns and startups. Ierapetritou et al (2002) as well as Karwan and Keblis (2007) extend the methodology to incorporate discrete operating decisions.…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes

Mitra

Grossmann

Pinto³

et al. 2012

Computers & Chemical Engineering

251

187

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Power-intensive processes can lower operating expenses when adjusting production planning according to time-dependent electricity pricing schemes. In this paper, we describe a deterministic MILP model that allows optimal production planning for continuous powerintensive processes. We emphasize the systematic modeling of operational transitions, that result from switching the operating modes of the plant equipment, with logic constraints. We prove properties on the tightness of several logic constraints. For the time horizon of one week and hourly changing electricity prices, we solve an industrial case study on air separation plants, where transitional modes help us capture ramping behavior. We also solve problem instances on cement plants where we show that the appropriate choice of operating modes allows us to obtain practical schedules, while limiting the number of changeovers. Despite the large size of the MILPs, the required solution times are small due to the explicit modeling of transitions.

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“…The convex hull reformulation can be written with constraints (2) - (7). Note that M 2,p,g,m is the maximum production of product g in mode m.…”

Section: Production Modes and Feasible Regionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes

Mitra

Grossmann

Pinto³

et al. 2012

Computers & Chemical Engineering

251

187

View full text Add to dashboard Cite

show abstract

“…Daryanian et al [7] first identified the opportunity to exploit energy storage in real-time electricity markets using a linear programming formulation similar to ours. However, their problem formulation ignores many of the battery inefficiencies that influence the realizable savings.…”

Section: Related Workmentioning

confidence: 99%

GreenCharge: Managing RenewableEnergy in Smart Buildings

Mishra

Irwin

Shenoy

et al. 2013

IEEE J. Select. Areas Commun.

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Abstract-Distributed generation (DG) uses many small onsite energy harvesting deployments at individual buildings to generate electricity. DG has the potential to make generation more efficient by reducing transmission and distribution losses, carbon emissions, and demand peaks. However, since renewables are intermittent and uncontrollable, buildings must still rely, in part, on the electric grid for power. While DG deployments today use net metering to offset costs and balance local supply and demand, scaling net metering for intermittent renewables to a large fraction of buildings is challenging. In this paper, we explore an alternative approach that combines market-based electricity pricing models with on-site renewables and modest energy storage (in the form of batteries) to incentivize DG. We propose a system architecture and optimization algorithm, called GreenCharge, to efficiently manage the renewable energy and storage to reduce a building's electric bill. To determine when to charge and discharge the battery each day, the algorithm leverages prediction models for forecasting both future energy demand and future energy harvesting. We evaluate GreenCharge in simulation using a collection of real-world data sets, and compare with an oracle that has perfect knowledge of future energy demand/harvesting and a system that only leverages a battery to lower costs (without any renewables). We show that GreenCharge's savings for a typical home today are near 20%, which are greater than the savings from using only net metering.

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“…As for the inverse problem of scarce capacity for import (resulting, for example, from electrification of heating and transport or increasing adoption of air-conditioning for cooling) network issues resulting from PV penetration can be assuaged through development of demand response and energy storage resources [5], [6], which can introduce flexibility to deal with network constraints through either storage (shifting grid consumption in time), substitution (switching provision of an energy service to an alternative device/energy vector) or energy service curtailment (reducing consumption of a final energy service) [7]. In this regard, development of a multienergy view may be particularly useful [8].…”

Section: Introductionmentioning

confidence: 99%

Techno-economic assessment of community energy solutions to network capacity issues

Good

Mancarella

Lintern

2017

2017 IEEE Manchester PowerTech

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Abstract-This paper presents a flexible, multi-energy district/community optimization model which can consider multiple energy service demands (hot water, base electricity, space heating/cooling), thermal and electrical energy storage, and solar photo-voltaic generation. The formulation can model various levels of virtual and physical aggregation and accommodate various different pricing structures (on energy and capacity). The model is used to demonstrate how thermal and electrical storage can alleviate network constraints, and how various commercial arrangements for relieving these constraints are effective under different aggregation options. Peak demand, annual cash flow (by component) and measures of energy independence are presented as assessment metrics.

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Optimal demand-side response to electricity spot prices for storage-type customers

Cited by 161 publications

References 4 publications

Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes

Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes

GreenCharge: Managing RenewableEnergy in Smart Buildings

Techno-economic assessment of community energy solutions to network capacity issues

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