Performance Evaluation for Transactive Energy Systems Using Double-Auction Market

This chapter explores the minimal intelligence conditions for traders in a general double auction market with speculation activities. Using an agent-based model, it is shown that when traders and speculators play together under general market curve settings, zero-intelligent plus (ZIP) is still a sufficient condition for market prices to converge to the equilibrium. At the same time, market efficiency is lowered as the number of speculators increase. The experiments demonstrate that the equilibrium of a double auction market is an interactive result of the intelligence of the traders and other factors such as the type of the players and market conditions. This research fills in an important gap in the literature, and strengthens Cliff and Bruten’s (1997) declaration that zero is not enough for a double auction market.

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Valuation diagramming and accounting of transactive energy systems

2017 IEEE Conference on Technologies for Sustainability (SusTech) ◽

10.1109/sustech.2017.8333520 ◽

2017 ◽

Author(s):

Atefe Makhmalbaf ◽

Donald J. Hammerstrom ◽

Qiuhua Huang ◽

Yingying Tang

Keyword(s):

Energy Systems ◽

Transactive Energy

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The Role of Blockchains in Multi-Stakeholder Transactive Energy Systems

Frontiers in Blockchain ◽

10.3389/fbloc.2020.593471 ◽

2020 ◽

Vol 3 ◽

Author(s):

Scott Eisele ◽

Aron Laszka ◽

Douglas C. Schmidt ◽

Abhishek Dubey

Keyword(s):

Power Systems ◽

Market Efficiency ◽

Energy Systems ◽

Power Grids ◽

Embedded Devices ◽

Blockchain Technology ◽

Energy Domain ◽

Transactive Energy ◽

Battery Technology ◽

Multi Stakeholder

Power grids are undergoing major changes due to rapid growth in renewable energy and improvements in battery technology. Prompted by the increasing complexity of power systems, decentralized solutions are emerging that arrange local communities into transactive microgrids. This paper addresses the problem of implementing transactive energy mechanisms in a distributed setting, providing both privacy and safety. Specifically, we design and implement an automated auction and matching system that ensures safety (e.g., satisfaction of line capacity constraints), preserves privacy, and promotes local trade and market efficiency for transactive energy systems. This design problem is challenging because safety, market efficiency, and privacy are competing objectives. We implement our solution as a decentralized trading platform built on blockchain technology and smart contracts. To demonstrate the viability of our platform, we analyze the results of experiments with dozens of embedded devices and energy production and consumption profiles using an actual dataset from the transactive energy domain.

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ModSCO. Online Reduced Order Models (ROM) to Address the Performance Gap

Proceedings ◽

10.3390/proceedings2019020018 ◽

2019 ◽

Vol 20 (1) ◽

pp. 18

Author(s):

Alessandro Piccinini ◽

Luis M. Blanes ◽

Federico Seri ◽

Letizia D’Angelo ◽

Marcus M. Keane

Keyword(s):

Performance Evaluation ◽

User Interface ◽

Energy Conservation ◽

Web Application ◽

Energy Systems ◽

Energy Performance ◽

Reduced Order Models ◽

Performance Gap ◽

Reduced Order ◽

Building Information

This communication presents ModSCO, a web application that supports systematic energy performance evaluation using Reduced Order Models (ROM). These models are particularly useful in scenario with missing, incomplete or uncertain building information. The paper describes the theory behind ROM grey-box modelling and presents case studies that support the smart operation of energy systems by generating Energy Conservation Opportunities (ESCOs) for instance, to help ISO 50001 implementation. The ROM demonstrated to provide accurate results with a reduced effort. The acceptable calibration tolerance provided by the ASHRAE Guideline 14 is been used to demonstrate the ROM’s accuracy. Additionally, the ModSCO architecture and user interface is also described.

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