David Vangulick, Bertrand Cornélusse, Damien Ernst
Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized energy market. Our goal is to determine the design that should allow a Distribution System Operator (DSO) to accept peer-to-peer energy exchanges based on a distributed ledger supported by the blockchain technology. To this end, we will evaluate several designs based on criteria such as acceptance of the wholesale/retail market, the resilience of the consensus to approve a block, the accuracy, traceability, privacy and security of the proposed schemes.
Van Hoa Nguyen, Yvon Bésanger, Quoc Tuan Tran, Minh Tri Le
As more and more distributed renewable energy resources are integrated to the grid, the traditional consumers have become the prosumers who can sell back their surplus energy to the others who are in energy shortage. This peer-to-peer (P2P) energy transaction framework benefits the end users, financially and in term of energy security; and the network operators, in term of flexibility in DRES management, peak load shifting and regulation of voltage/frequency. Environmentally, P2P energy transaction also helps to reduce carbon footprint, reduces DRES payback period and incentivizes the installation of DRES. The current centralized market model is no longer suitable and it is therefore necessary to develop an adapted decentralized architecture for the advanced P2P energy transaction framework intra/inter-micro grid. In this paper, we discuss several distributed ledger approaches for such framework: Blockchain, Block Lattice and Directed Acyclic Graph (the Tangle). The technical advantages of these architectures as well as the persistent challenges are then considered.
This paper describes the proof of concept of a blockchain based organization of a local low voltage energy community. The focus of the concept is efficient use of shared resources to minimize external dependence, and not energy trading. A previously proposed control algorithm, which exploits the power dependency of the efficiency of electrical energy storages, is implemented as a smart contract on a private instance of an Ethereum blockchain to coordinate the operation. It is implemented using four connected Raspberry Pis representing the participating households with pre-given electrical load and photovoltaic conversion as well as a battery. Each household runs an Ethereum full node and an interfacing software. Only the energy technology components are simulated, while the blockchain is actually running on the Raspberry Pis in order to mind the full complexity of the technology. The practicability is proved in a test run and positive effects on the efficiency and the self-sufficiency within the community are observed. A first cost-benefit estimate is given and a further research agenda is presented.
Sanal para sistemi bitcoin ve altcoins olarak tanımlanan türevleri mevcut para politikasını ve para sistemlerini değişim ve dönüşüme zorlayacak bir trendin içinde oldukları gözlenmektedir. Genel olarak kripto para olarak tanımlanan bu sistem elektronik ortamda oluşturulabilen ve nakit benzeri bir ödeme aracı sisteminden ibarettir. Bu sistemin mevcut para ve ödeme araçlarına alternatif ve hatta geleneksel para teori ve uygulamalarının yerini alacağı yönünde bir gelişim süreci içinde olması bu sisteme odaklanmayı zorunlu hale getirmektedir. Bu makalede bitcoin ve benzeri kripto paraların yapıları, işlevleri ve mevcut para sistemi içerisindeki yeri ve önemi karşılaştırmalı ve analitik bir analizle değerlendirilmiştir.
We consider users which may have renewable energy harvesting devices, or distributed generators. Such users can behave as consumer or producer (hence, we denote them as prosumers) at different time instances. A prosumer may sell the energy to other prosumers in exchange of money. We consider a demand response model, where the price of conventional energy depends on the total demand of all the prosumers at a certain time. A prosumer depending on its own utility has to select the amount of energy it wants to buy either from the grid or from other prosumers, or the amount of excess energy it wants to sell to other prosumers. However, the strategy, and the payoff of a prosumer inherently depends on the strategy of other prosumers as a prosumer can only buy if the other prosumers are willing to sell. We formulate the problem as a coupled constrained game, and seek to obtain the generalized Nash equilibrium. We show that the game is a concave potential game and show that there exists a unique generalized Nash equilibrium. We consider that a platform will set the price for distributed interchange of energy among the prosumers in order to minimize the consumption of the conventional energy. We propose a distributed algorithm where the platform sets a price to each prosumer, and then each prosumer at a certain time only optimizes its own payoff. The prosumer then updates the price depending on the supply and demand for each prosumer. We show that the algorithm converges to an optimal generalized Nash equilibrium. The distributed algorithm also provides an optimal price for the exchange market.
This thesis explains the working of a previously undocumented blockchain application developed for the energy sector. The application enables distributed market coordination for small-scale decentralized energy systems. An Ethereum smart contract is employed as a core component of the application, facilitating a marketplace for transacting electrical energy. A design science research methodology was applied to the application in an attempt to further develop it. The problem of high fees in the energy marketplace was identified, resulting from the smart contract's inefficient use of Ethereum gas. Two particular sources of inefficiency were identified, and solutions for fixing these inefficiencies were designed and implemented. Savings in transaction fees were created by replacing a function of the smart contract with off blockchain communication, and by editing the fund withdrawal mechanism of the smart contract so that it requires users to create fewer blockchain transactions. As a result, the smart contract's gas consumption was reduced by up to 11% in a certain use case. The reduction in gas consumption was not sufficient to make the deployment and use of the application economically feasible on the canonical public Ethereum blockchain. A Plasma child chain or a dedicated Ethereum blockchain were suggested as potentially more feasible deployment environments for the application. It was noted that the application relies on centralized components, and it is debatable whether its current blockchain-based implementation is justifiable.
In this paper, we aim to provide a power trade system that will promote a sustainable electrical energy transaction ecosystem between prosumers and consumers of smart homes. We suggest a blockchain-based peer-to-peer (P2P) energy transaction platform be implemented to enable efficient electrical energy transaction between prosumers. We suggest the platform be built on the blockchain, as this technology allows a decentralized and distributed trading system, and allows a more transparent, trustworthy and secure P2P trading environment. We believe that such characteristics of the blockchain are necessary in electrical energy transactions within the smart home environment because the smart home aims to enhance user comfort and security, along with energy conservation and cost-savings. First, we classify the two different types of P2P trade to identify which will best benefit from the use of the suggested blockchain-based P2P energy-transaction platform. Within the two types of P2P trade, that we classify (pure P2P trade and hybrid P2P trade), the hybrid P2P trade will benefit more from a blockchain-based P2P energy-transaction platform. In the blockchain-based P2P energy-transaction platform, a smart contract is embedded in the blockchain and called an energy tag. The energy tag will set conditions for making every future energy transaction more cost-efficient while maintaining the most ideal and high-quality energy selection. With the blockchain-based energy tag in the energy-transaction process, multiple energy resources and home appliances will be democratically connected in order to provide users with high-quality, low-cost energy at all times and locations. In this paper, we provide simulation results that compare the unit price of electrical energy on the suggested platform to the unit price of electrical energy set by currently existing conventional power-generation companies. Additionally, we present simulation results that calculate how long initial investments to create a smart home environment that enables P2P energy transactions will take to be paid back. Based on simulation results, we believe that, in the long run, the suggested blockchain-based P2P energy-transaction platform will create a sustainable energy-transaction environment between consumers and prosumers, and the expanding ecosystem will enable the development of a trusted, sustainable, secure and energy-efficient energy transaction environment.
Maria Luisa Di Silvestre, Pierluigi Gallo, Mariano Giuseppe Ippolito, Eleonora Riva Sanseverino · 5 authors
The present paper considers some technical issues related to the “energy blockchain” paradigm applied to microgrids. In particular, what appears from the study is that the superposition of energy transactions in a microgrid creates a variation of the power losses in all the branches of the microgrid. Traditional power losses allocation in distribution systems takes into account only generators while, in this paper, a real-time attribution of power losses to each transaction involving one generator and one load node is done by defining some suitable indices. Besides, the presence of P-V nodes increases the level of reactive flows and provides a more complex technical perspective. For this reason, reactive power generation for voltage support at P-V nodes poses a further problem of reactive power flow exchange, which is worth of investigation in future works in order to define a possible way of remuneration. The experimental section of the paper considers a medium voltage microgrid and two different operational scenarios.
Crowdsourcing relies on people's contributions to meet product- or system-level objectives. Crowdsourcing-based methods have been implemented in various cyber-physical systems and realtime markets. This paper explores a framework for Crowdsourced Energy Systems (CES), where small-scale energy generation or energy trading is crowdsourced from distributed energy resources, electric vehicles, and shapable loads. The merits/pillars of energy crowdsourcing are discussed. Then, an operational model for CESs in distribution networks with different types of crowdsourcees is proposed. The model yields a market equilibrium depicting traditional and distributed generator and load setpoints. Given these setpoints, crowdsourcing incentives are designed to steer crowdsourcees to the equilibrium. As the number of crowdsourcees and energy trading transactions scales up, a secure energy trading platform is required. To that end, the presented framework is integrated with a lightweight Blockchain implementation and smart contracts. Numerical tests are provided to showcase the overall implementation.
In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.). In our approach, a blockchain based distributed ledger stores in a tamper proof manner the energy prosumption information collected from Internet of Things smart metering devices, while self-enforcing smart contracts programmatically define the expected energy flexibility at the level of each prosumer, the associated rewards or penalties, and the rules for balancing the energy demand with the energy production at grid level. Consensus based validation will be used for demand response programs validation and to activate the appropriate financial settlement for the flexibility providers. The approach was validated using a prototype implemented in an Ethereum platform using energy consumption and production traces of several buildings from literature data sets. The results show that our blockchain based distributed demand side management can be used for matching energy demand and production at smart grid level, the demand response signal being followed with high accuracy, while the amount of energy flexibility needed for convergence is reduced.
This paper considers the design, the developed and the experimental evaluation, a blockchain based smart contract specifying the operating rules of a real time, uniform-price double auction energy market. Producers and consumers interact with this contract sending their offers and bids accordingly and the contract clears the market based on a double auction model. We propose four different approaches for implementing, through the Ethereum platform, both the P2P network as well as the smart contract. We systematically compare the above approaches on the basis of their decentralization nature, operating costs, computational costs, effectiveness, security, privacy and beyond. This comparison is achieved through large scale, real time simulations based on the GridLAB-D platform.
The recent surge in renewable energy in the distribution grid could transform the generation side to be more variable, which potentially reduces power quality. This technical local challenge could be compensated by introducing a market solution, which could be realised in the form of a local energy market. Such markets requires a comprehensive infrastructure, where a centralised database solution traditionally have been used. However, blockchain technology have lately been presented as a possible preferable alternative. Blockchain is a decentralised communication platform, which logs all information in a structured and tamper-proof manner. This design makes it potentially suitable for operating a local energy market. However, there have not been performed a lot of research on the feasibility of developing local energy markets using blockchain technology. This will be therefore be the focus of this thesis, where a technical, economic and regulatory analysis are performed.\n\nThis thesis address this feasibility by developing a complex local energy market, deploying this on a test blockchain and analyse the results. The market consists of three unique trading mechanisms, where all explores the benefits of flexible loads. These trading mechanisms are then represented as blockchain applications, and simulated over a range of scenarios. The results illustrate a proof of concept, in addition to measure the usage of computational resources of operating blockchain applications.\n\nThe market simulation proved the technical feasibility of running several complex mechanisms in a blockchain environment, with an integrated payment solution. The observed computational resource consumption of the market revealed that a complex real time trading with 600 nodes and a trading frequency of 5 minutes requires a blockchain that can process 10.2 standard Ethereum transactions per second. This is considered to be possible for a modern blockchain protocol to process. The blockchain application design is also analysed, where it is identified how applications should be designed in order to lower the resulting computational consumption. In result, this thesis identifies blockchain technology as suited to operate a local energy market, without significant negative computational consequences. \n\nRegarding the economical feasibility, such a solution is considered to be more expensive than a database solution when it comes to development costs. However, a blockchain solution presents new market possibilities, which could result in a more efficient market, and hence be more economically beneficial. Regarding a regulatory analysis, the Norwegian energy market regulations presents several challenges towards decentralised local energy markets. However, the technology behind blockchain could provide arguments for changing these regulations, and hence make it possible for end users to participate actively in an energy market.
Global energy consumption is expected to increase over the course of this century. Continued generation with the current energy mix is expected to further threaten climate tipping points. In order to meet emissions reduction targets, there has been a global push by governments to increase their share of renewable energy sources (RESs). Adoption has grown across scales, in addition to demand for new market models which allow for more flexible energy distribution. Liberalization of energy markets has expanded the number of actors involved, further contributing to the complexity of the issue. Adapting management systems and market models to better incorporate distributed energy sources poses a unique challenge to current energy system actors. \nInformation and communication technologies (ICT) are increasingly explored as a means of increasing efficiency and enabling more dynamic markets. Among these is distributed ledger technology (DLT), a decentralised, immutable, and cryptographically secured record of transactions which proponents claim can enable peer-to-peer energy trading. As of November 2018, DLT-enabled energy trading remains in an experimental phase. The question of governance has repeatedly been raised without clear strategic visions set for integration into future energy systems. \nThis research is a single case study which employed participatory foresight methods to understand how governance arrangements, actor networks, and innovation policies can be shaped over the first half of the 21st century in order to facilitate a sustainable energy system transformation enhanced by distributed ledger technology. The foresight methods used are visioning, driver mapping, scenario design, and policy-stress testing. Participants came from various levels, roles, and competencies within the energy sector. Several DLT application areas were identified, along with drivers of change, which were used to frame scenario narratives applied later in policy stress-testing. \nResults show that while DLT is not deemed a necessary part of a sustainable energy system transformation, an interactive mode of governance would be most conducive to a future in which it would have a role. Further, results suggest that there are ample opportunities for DLT and/or innovation policies to be co-opted by vested interests and locked into a non-transformative pathway. The importance of data-sharing in enabling sociotechnical change and, moreover, the legitimacy debate surrounding data collection methods is another key insight. This research enriches the robustness of contemporary knowledge on the arrangement and planning for transformative governance structures which can promote opportunities for sustainable development provided by novel technologies such as DLT, in addition to the role of foresight exercises in anticipatory governance.
Naoyuki Yoshino, Tim Schloesser, Farhad Taghizadeh–Hesary
To achieve the sustainable development goals (SDGs) as well as the Paris Agreement major investments in renewable energy (RE) production are necessary worldwide. In particular, decentralized, small-scale projects offer copious potential to create energy access as well as to contribute to an affordable, reliable and sustainable energy supply system. However, in developing countries such projects often face issues in finding funding. Direct private investment tools like the community-based hometown investment trust (HIT) fund address this issue and offer a way of financing for those projects. Technical developments in the sphere of distributed ledger technologies (DLTs) provide the opportunity to increase the fund's transparency and thus to improve its functioning. On that basis, this paper contributes to the literature in two ways: First, it delineates a concrete application of DLTs in the field of green financing, which offers the potential to increase social welfare. Second, the decision problem of investors is modeled, which illustrates through which channel the use of DLTs impacts the investors' behavior.
Recently, various business models collect and store data generated from events using the Internet and various sensors and use them effectively. It is changing smartly into a convenient and safe new business model. In this paper, we present directions through experiments to understand and develop evolving types of business models by collecting data using various sensors in a test bed environment. We implement and experiment with technologies using Bigdata in addition to IoT(Internet of Things) technology. Renewable energy projects are attracting attention due to environmental issues such as global warming. In this paper, we introduce energy prosumer service model applying blockchain technology. This allows various energy sources to be connected to various users and producers. Also, we try to improve energy efficiency by analyzing energy pattern of users. We propose a transaction model that can collect, utilize, and process data more efficiently by combining the above technologies.
We compare two Demand Side Management (DSM) mechanisms, introduced\nrespectively by Mohsenian-Rad et al (2010) and Baharlouei et al (2012), in\nterms of efficiency and fairness. Each mechanism defines a game where the\nconsumers optimize their flexible consumption to reduce their electricity\nbills. Mohsenian-Rad et al propose a daily mechanism for which they prove the\nsocial optimality. Baharlouei et al propose a hourly billing mechanism for\nwhich we give theoretical results: we prove the uniqueness of an equilibrium in\nthe associated game and give an upper bound on its price of anarchy. We\nevaluate numerically the two mechanisms, using real consumption data from Pecan\nStreet Inc. The simulations show that the equilibrium reached with the hourly\nmechanism is socially optimal up to 0.1%, and that it achieves an important\nfairness property according to a quantitative indicator we define. We observe\nthat the two DSM mechanisms avoid the synchronization effect induced by non-\ngame theoretic mechanisms, e.g. Peak/OffPeak hours contracts.\n
José Horta, Daniel Kofman, David Menga, Alonso Silva
Future electricity distribution grids will host a considerable share of variable renewable energy sources and local storage resources. Moreover, they will face new load structures due for example to the growth of the electric vehicle market. These trends raise the need for new paradigms for distribution grids operation, in which Distribution System Operators will increasingly rely on demand side flexibility and households will progressively become prosumers playing an active role on smart grid energy management. However, in present energy management architectures, the lack of coordination among actors limits the capability of the grid to enable the mentioned trends. In this paper we tackle this problem by proposing an architecture that enables households to autonomously exchange energy blocks and flexibility services with neighbors, operators and market actors. The solution is based on a blockchain transactive platform. We focus on a market application, where households can trade energy with their neighbors, aimed to locally balancing renewable energy production. We propose a market mechanism and dynamic transport prices that provide an incentive for households to locally manage energy resources in a way that responds to both pro-sumer and operator needs. We evaluate the impact of such markets through comprehensive simulations using power flow analysis and realistic load profiles, providing valuable insight for the design of appropriate mechanisms and incentives.
Jian Wang, Qianggang Wang, Niancheng Zhou, Yuan Chi
The installed capacity of distributed generation (DG) based on renewable energy sources has increased continuously in power systems, and its market-oriented transaction is imperative. However, traditional transaction management based on centralized organizations has many disadvantages, such as high operation cost, low transparency, and potential risk of transaction data modification. Therefore, a decentralized electricity transaction mode for microgrids is proposed in this study based on blockchain and continuous double auction (CDA) mechanism. A buyer and seller initially complete the transaction matching in the CDA market. In view of the frequent price fluctuation in the CDA market, an adaptive aggressiveness strategy is used to adjust the quotation timely according to market changes. DG and consumer exchange digital certificate of power and expenditure on the blockchain system and the interests of consumers are then guaranteed by multi-signature when DG cannot generate power due to failure or other reasons. The digital certification of electricity assets is replaced by the sequence number with specific tags in the transaction script, and the size of digital certification can be adjusted according to transaction energy quantity. Finally, the feasibility of market mechanism through specific microgrid case and settlement process is also provided.
Lee Thomas, Chao Long, Pete Burnap, Jianzhong Wu · 5 authors
An electricity supply smart contract was developed and demonstrated to perform pre-time-of-use price negotiation between demand and generation and post-time-of-use settlement and payment. The smart contract was demonstrated with 1000 loads/generators with usages simulated using lognormal probability distributions. It combines payment of deposit, negotiation of price based on estimates, settlement based on actual usage and enactment of payments using crypto-currency. The settlement procedure rewards customers that adjusted to balance the system. The smart contract was written in the solidity programming language and implemented with a simulated Ethereum blockchain using testrpc and go-ethereum. In the example test case, a price was agreed, settled and payment enacted.
We present an architecture for peer-to-peer energy markets which can guarantee that operational constraints are respected and payments are fairly rendered, without relying on a centralized utility or microgrid aggregator. We demonstrate how to address trust, security, and transparency issues by using blockchains and smart contracts, two emerging technologies which can facilitate decentralized coordination between non-trusting agents. While blockchains are receiving considerable interest as a platform for distributed computation and data management, this is the first work to examine their use to facilitate distributed optimization and control. Using the Alternating Direction Method of Multipliers (ADMM), we pose a decentralized optimal power flow (OPF) model for scheduling a mix of batteries, shapable loads, and deferrable loads on an electricity distribution network. The DERs perform local optimization steps, and a smart contract on the blockchain serves as the ADMM coordinator, allowing the validity and optimality of the solution to be verified. The optimal schedule is securely stored on the blockchain, and payments can be automatically, securely, and trustlessly rendered without requiring a microgrid operator.