Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response

By Menglian Zheng, C. Meinrenken, Klaus Lackner. 2014

119 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/eff4538d6969a946d2945599e37c3cc9bddcaa07

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In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Value streams in microgrids: A literature review (2016, unknown): “While the economic feasibility is not directly considered in this study, a similar methodology to analyze the economic benefit of batteries is used in [30] and [31], where separate load-shifting and peak-shaving oriented algorithms are presented.”
Flexible Demand in the GB Domestic Electricity Sector in 2030 (2015, background): “These include providing access to accurate and real-time feedback [37,38], encouragement of pro-environmental behaviour through social marketing and descriptive norms [39], recognising and encouraging individual actions which benefit the wider community even if not following the classical economic t”
Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving (2015, methodology): “This equipment cost is broken down into two parts: (i) A US$ 2,000 fixed cost ([21], Discussion) reflects installation parts & labor; (ii) a size-dependent cost”
What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers (2016, methodology): “ABM are also used for simulating diffusion of energy relative products, like: smart meters [2,5,6,50,51], SM platforms [52], dynamic tariffs [53], storage devices [54], PV systems [55] or novel biomass fuel [56].”
Challenges and barriers to demand response deployment and evaluation (2015, background): “The authors in [70] find that stochastic variations in household energy consumption on a daily and seasonal basis can affect the optimum capacity of demand-side energy storage required.”