Intelligent and Reliable Engineering Systems

11th International Conference on Intelligent Energy Management, Electronics, Electric & Thermal Power, Robotics and Automation (IEMERA-2020)

Nikesh Kumar, Len Gelman, Arun Kumar Bar, Satyajit Chakrabarti, Nikesh Kumar, Len Gelman, Arun Kumar Bar, Satyajit Chakrabarti

• Publisher: CRC Press
• Year: 2021
• Topic: Technology & Engineering
• eBook ISBN:
  9781000540093
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

IEMERA is a three-day International Conference specially designed with cluster of scientific and technological sessions, providing a common platform for the researchers, academicians, industry delegates across the globe to share and exchange their knowledge and contribution. The emerging areas of research and development in Electrical, Electronics, Mechanical and Software technologies are major focus areas. The conference is equipped with well-organized scientific sessions, keynote and plenary lectures, research paper and poster presentations and world-class exhibitions. Moreover, IEMERA 2020 facilitates better understanding of the technological developments and scientific advancements across the world by showcasing the pace of science, technology and business areas in the field of Energy Management, Electronics, Electric & Thermal Power, Robotics and Automation.

Chapter 1

Blockchain Contradictions in Energy Service and Climate Markets

Nolden

University of Bristol Law School

UK & Environmental Change Institute, University of Oxford, UK

Abstract—On paper, blockchain promises near-zero transaction cost for i) the establishment of energy demand baselines; ii) negotiation and execution of energy service contracts; iii) measuring, reporting and verifying of energy service provision relative to contractually agreed baselines; iv) capturing and trading of associated carbon emission reductions; and v) the establishment of appropriate trading platforms. It is also widely assumed that the ‘invisibility’ of both energy service delivery (especially in relation to energy savings) and carbon emission reductions can be overcome through provenance and ‘visibility’ generating capacities inherent in blockchain. Many aspects of energy service delivery and the capturing of associated carbon emission reductions, especially in relation to transaction cost minimization, also fulfil the business case for using blockchain:

• Use of a database, as the basic purpose of the blockchain is to order and record transactions
• This database must be shared among multiple users wishing to write to it to commit their own transactions
• The transactions are independent, i.e., the order of the transaction matters (e.g. the investor must pay money before the borrower pays interest on it)
• The writers do not trust each other as they may have conflicting interests; or simply have no sufficient information about each other
• There is a need for disintermediation, i.e. when no third party is suited to act as a trusted intermediary for all writers for one reason or another

Aside from fulfilling the theoretical business case, it is important to recognize the scale and scope of blockchain application in the energy sector. These, according to a recent paper by Andoni et al., range from 1) metering/billing and security; 2) cryptocurrencies, tokens and investment; 3) decentralized energy trading; 4) green certificates and carbon trading; 5) grid management; 6) IoT, smart devices, automation and asset management; 7) electric mobility; and 8) general purpose initiatives and consortia.

In practice, however, many of these attributes fail to materialize due to lack of scalability from small-scale experiments, data incompatibility and complexity. Many of these issues result from a fundamental misunderstanding of how energy systems operate, especially regarding social/technical/economic components. This paper firstly provides a transaction cost economic analysis which proves blockchain’s theoretical technical potential to reduce transaction costs in energy service and climate markets and secondly juxtaposes these hypotheses with social/technical/economic systems in which this technology is embedded. By drawing on real life examples, this paper points towards limitations and issues which need to be overcome through both fundamental and applied research to establish how blockchain application in the energy sector may benefit such systems as well as individuals and businesses advocating blockchain. If blockchain’s transaction cost efficiency is to be fully exploited in the ongoing energy system transformation, especially in relation to the growing importance placed on climate markets, more emphasis needs to be placed on inevitable interactions with the social/technical/economic systems in which this technology is embedded. This is necessary to ensure accountability and appropriate risk assessments before new and potentially path-dependent socio-technical infrastructures are promoted and implemented as solutions to ‘problems’.

Keywords—blockchain, energy service markets, climate markets, transaction costs, socio- technical, contradiction

1. INTRODUCTION

In the energy system, an increasing number of service-based business models specialize in the provision of energy services (Steinberger, J. et al., 2009; Boza-Kiss, M. et al., 2017). These services include energy service contracts, peer-to-peer (P2P) energy trading platforms and demand and supply aggregation to offer flexibility services to local distribution systems operators (Nolden, C., 2019). Despite indications of an overall trend towards a service and performance-based economy (Lay, G. et al., 2009), the adoption of associated contracts is often hindered by high transaction costs (Sorrell, S., 2007; Steinberger, J. et al., 2009). These include search and haggling costs, bargaining costs and opportunism costs (Williamson, O., 1985; Sorrell, S., 2007; Nolden, C. and Sorrell, S., 2016).

Standardized contracts provided by trusted intermediaries and standardized methods for measurement, reporting and verification (MRV), such as the International Performance Measurement and Verification Protocol (IPMVP) for energy savings, can lower transaction costs. To create more favorable investment conditions, various organizations promote the establishment of such intermediaries and national and international investment platforms to de-risk and aggregate projects underpinned by accurate generation and consumption data (UNEP, 2011; ESMAP, 2017).

This clear emphasis on verifiable and measurable energy service delivery supports the notion that accurate generation and consumption data is essential for the viability of energy service business models (Hardy, J., 2017). Effective MRV is therefore considered essential both as a confidence building tool for assessing energy service delivery and associated benefits such as carbon emission reductions and as a means of de-risking associated contracts (ESMAP, 2017). Carbon emission reductions resulting from measured, reported and verified renewable energy generation, energy savings or flexibility services may generate additional cash flow if they are captured and certified in climate markets (Stua, M., 2017; World Bank, 2018; Yi, H. et al., 2017). However, trust and fungibility of measured, reported and verified energy service delivery as well as associated carbon emission reductions need to increase if they are to play a greater role in energy and climate markets (UNEP, 2011; ESMAP, 2017; Stua, M., 2017; World Bank, 2018). This is supported by the UNFCCC Paris Agreement (UNFCCC, 2015: 5) which calls for ‘environmental integrity, transparency, accuracy, completeness, comparability and consistency [to] ensure the avoidance of double counting’ of carbon emission reductions.

According to various organizations, including the World Bank, the technical characteristics of blockchain, combined with various other emergent digital technology innovations, can help fulfil these requirements (see METRIC principles by the World Bank 2018), especially in relation to the ‘invisibility’ of energy demand and carbon emission reduction (Clark, J. and Knox-Hayes, J., 2011). By focusing on energy service and climate markets, this paper indicates transaction cost reducing potential and (current) social/technical/economic limitations of blockchain application in relation to the zero-carbon energy system transformation.

2. METHODOLOGY

This study of the potentials and limitations of blockchain application in energy service and climate markets in relation to social/technical/economic systems in which the technology is embedded is the result of an ongoing study autumn 2017 and autumn 2019 of blockchain and digital technology innovation, disruption and governance in energy service and climate markets. Attendance at several conferences and invitations to workshops, including Event Horizon conference in Berlin (Germany), 2018, Smart Cities workshop in Exeter (UK), 2018, Offgrid Microgrids workshop in Belem (Brazil), 2018, Blockchain Live conference in London, 2018, Disruptive Energy for Communities workshop in Plymouth (UK), 2019, Launch of the Global Observatory on Peer-to-Peer, Community Self-Consumption and Transactive Energy Models in London (UK), 2019, and Digital Innovations in Energy Service Business Models innovation forum in Brighton (UK), 2019, provided access to expert ideas and opinions. Conversations and interviews, some of them recorded and transcribed, for example with representatives of the solar, storage and blockchain pilot in Brixton (UK), ClimateCoin and the Energy Web Foundation (EWF) provided in-depth insights into potentials and limitations of blockchain in relation to energy performance, P2P, flexibility and climate markets.

Insights from Transaction Cost Economics (Williamson, O., 1985; Sorrell, S., 2007) provide the basis for understanding the attraction of blockchain in the energy service sector, especially from a business and individual consumer perspective. The limitations of this analytical lens also highlight the shortfall of this focus on transaction efficiency to the detriment of system-wide benefits and long-term planning horizons necessary for deep low-carbon transformations. The next section provides a transaction cost economic analysis of blockchain’s theoretical technical potential to reduce transaction costs for energy service delivery. The subsequent results section indicates (current) limitations with regards to the social/technical/economic systems in which this technology is embedded.

3. THEORETICAL FRAMEWORK

Transaction costs, compared to production costs, are diffi-cult to quantify as they are incurred by both the energy service provider and the client in preparing, negotiating and establishing (ex-ante) as well as in executing, monitoring and enforcing (ex-post) energy service contracts (Sorrell, S., 2007; Nolden, C. et al., 2016). These transaction costs can be subdivided into (Sorrell, S., 2007; Nolden, C. et al., 2016):

• The search and haggling costs associated with tendering, identifying a potential client or energy service provider, verifying their suitability, preparing and evaluating bids and selecting a preferred contracting partner
• The bargaining costs associated with negotiating and preparing the contract, monitoring contract performance, enforcing compliance, negotiating changes to the contract when unforeseen circumstances arise and resolving disputes
• The opportunism costs associated with either party acting in bad faith – for example by claiming that cost reductions derive from performance improvements when their real origin lies elsewhere

An increasing range of energy service intermediaries seek to increase the probability of contract adoption by facilitating the transaction process. Such intermediaries benefit from ‘specialization economies because their primary focus lies on energy service delivery; from scale economies because they deal with multiple energy service providers and clients; and learning economies because they carry forward lessons from one contract to another’ (Nolden et al. 2016: 427). By providing these energy market services, intermediaries mainly lower search and haggling costs and bargaining costs.

To lower opportunism costs, however, greater emphasis needs to be placed on transparency. According to Williamson (1985), hierarchical organizations (firms) reduce opportunism, which arises because of agents’ intent and ability to exploit trust (‘self-interest seeking with guile’). According to this interpretation, organizations (firms) are considered more transaction cost efficient than markets in the absence of complete market transparency At the same time, Williamson (1985) argues that contracts are always incomplete because it is not possible to fully monitor the behavior of the other party as a result of this lack of transparency.

Both concepts of opportunism and incomplete contracts, according Davidson et al. (2016), are being challenged by blockchain. To be precise, crypto-economic mechanisms, which enable ‘a spot market exchange to carry forward indefinitely a pure promise’ (Davidson, S. et al., 2016: 9) by crypto-enforcing the execution of agreed contracts through consensus, transparency and traceability, address opportunism costs. ‘The complexity cost of writing contracts,’ they continue, ‘could scale linearly, and so the blockchain would lower transactions costs’. As a result, they suggest that ‘all contracts would be complete and all economic transactions would be market transactions’ (Davidson, S. et al., 2016: 9). This hypothesis of low transaction costs in relation to energy services suggests that the application of blockchain technology in the energy sector, especially as an MRV and accounting infrastructure facilitated by IoT and Artificial Intelligence (AI) to enhance transparency and traceability, reduces, if not eliminates, opportunism costs.

4. RESULTS

• Social systems

Despite blockchain’s transaction efficiency, especially in relation to opportunism costs, the consensus mechanism underlying blockchain can entail significant negative socio-environmental consequences. Proof-of-Work (PoW) in particular is associated with centralized ‘mining pools’, which has led to capital concentration more skewed towards few individuals and organizations than analogue currencies. PoW, especially in the case of Bitcoin, is also very energy intense with its current electricity consumption estimated to be equivalent to Denmark with a single transaction consuming 200kWh of electricity (Andoni, M. et al., 2019). Ethereum, which thanks to its smart contracts can fully realize the potential of blockchain (GOS, 2016), also depends on a PoW consensus algorithms with associated socio-environmental consequences. EWF wants to overcome this contradiction through a Proof-of-Authority (PoA) consensus mechanism. Energy demand for transactions is significantly lowered by limiting validation to organizations that have joined EWF (EWF, 2020). However, as many of these organizations are established fossil-fuel energy generating incumbents such as E.On, Total and Engie, their desire to support transactions that might disrupt their business model is put into question.

Concentration of data in the hands of incumbents is already an issue regarding smart meters and smart meter data. Such data are supposed to enable a more service-oriented, low-carbon energy system and facilitate business model innovation around MRV automation. In the UK, however, there is no central repository for the data generated. People do not own the smart data generated in their own home and even regulators responsible for regulating commercial interests in charge of this data do not have access to it. Rather than facilitating transparent, efficient and robust accounting and recording of energy and associated carbon emission reduction data, the current socio-political environment in the UK therefore limits innovation and experimentation to incumbents and technology-driven innovators that team up with incumbents to access such data. Less technology-driven innovators or those responding to market needs and opportunities as ‘outsiders’, on the other hand, a...

Table of contents

• Cover
• Title Page
• Copyright Page
• Table of Contents
• About the Conference
• Chapter 1: Blockchain Contradictions in Energy Service and Climate Markets
• Chapter 2: A compressed air driven generator with enhanced energetic efficiency
• Chapter 3: Experience and Memory Principle for Adaptive Indoor Thermal Comfort
• Chapter 4: ADVENT: Advance Driver’s in-VEhiclemovemeNt Tracking Algorithm for Semi-Autonomous Assistive Driving
• Chapter 5: An improvised control methodology for voltage sag mitigation, harmonics reduction with a dynamic voltage restorer to improve power quality: Considering fast-operating DSP
• Chapter 6: Satellite-based Data Collection Architecture for Virtual Power Plant Management in Rural Areas
• Chapter 7: Simulation of a Data Server Building by Automation of its Cooling System
• Chapter 8: A Proposal for Designing a Deep Learning Model for Analysis and Prediction of Stock Market Movement for Portfolio Management
• Chapter 9: Refinement of the quantitative models to estimate user’s fear in evacuation route planning: A study on the effectiveness of physical factors for signboards
• Chapter 10: Detection of Abnormal Heart Rhythms by using Graphical Deflection Parameters - A Case Study
• Chapter 11: Comparison of Artificial Intelligence Based Maximum Power Point Techniques for Photovoltaic systems
• Chapter 12: A Collaborative Recommender System Enhanced with a Neural Network
• Chapter 13: Applications of Mathematics Modelling Techniques
• Chapter 14: Methods and Applications of Stochastic Modeling
• Chapter 15: On Mathematical and Statistical Aspects of Linear Models
• Chapter 16: Lexi-Search Algorithm to Solve the Minimum Spanning Connectivity of Clustered Cities to the Headquarter City
• Chapter 17: A study on sum of positive integral powers of positive integers
• Chapter 18: Math behind themysterious number 6174
• Chapter 19: Some Operations and Basic Applications on GAMMA soft sets
• Chapter 20: An Emerging Technology For better performance & high stability period of flow using
• Chapter 21: AODV Routing Protocol Implementation Implications for Cybersecurity
• Chapter 22: Around The Computer Auditing Model in Bridestory Business Startup
• Chapter 23: Auditing Model Around The Computer Startup Business “Hijup”
• Chapter 24: Blockchain Technology and Its Growing Role in the Internet of Things
• Chapter 25: Designing a Routing Protocol towards Enhancing System Network Lifetime
• Chapter 26: Go Mart’s Retail Business Startup Analysis
• Chapter 27: Information Systems Audit Model Privacy and Confidentiality on Start Up the Go Food Business
• Chapter 28: Multimodal Interaction Using the Particle Swarm’s Binary Optimization
• Chapter 29: SVM based DDoS Algorithm for Denial of Service Attacks
• Chapter 30: The Business Model Development of E-Money Start up Types of Link Aja in Indonesia
• Chapter 31: The Role of Information Systems Auditing and Control Association (ISACA) as an Institution for Information Systems Auditors, Establishing an Ethical Code for Auditors and Holder of ISACA Certificates