Can Ethereum Give Citizens a Better Deal on Their Energy Data?

Transcript

[music] [music] >> Can you hear me? Perfect. So, thank you for the introduction. I just started this project some weeks ago, so I will try to give you a brief overview of what is about. I put this question so can be interesting and now we will see how we can change how the things are working now in the energy sector, specifically on the ownership of our data.

So, I will start with can Ethereum give citizen a better deal on their energy data? And what we see right now is that this is the standard picture. I think that all of us lives in a home. So, we all have appliances that consume electricity and all of this electricity are then hold in what I generic call data holder. But in our cases in Europe specifically also where I live, these data holder are the DSOs. So, in my case it's E.ON, Enel and other companies that collect this data.

And then on the right part of the figure we have the entities that can be interesting [snorts] in our data. So, what happen here? We have a research institute like for example that can need our energy data consumption for research purposes. We could have municipality that are interesting on plan the need of the city and we could have companies that want to develop something on top of our energy data. What is missing here is that this is how I work it works right now. So, company maybe needs to train a model or needs to forecast something for a specific city and what we did because I

work I worked in a research institute, we go through the DSOs that are here and NL and others and ask for historic data. And what happened is that through an agreement we can have historical data that are anonymized but specifically for that city and we pay for this kind of data. We paid for this kind of data. So what happened here is that you have the citizens are the one that create these data because they use electricity for different purposes. But at the end they pay for the electricity but they are not rewarded for the data that they are they created.

So this is a different picture and I will try to explain better. So on the right we have the same entities and what is changed now is that in some projects that we did a few years ago we try to create a data marketplace of these energy data and what happened is that citizens in this specific scenario are rewarded for the data that they create. But the kind of decentralized data marketplace that was not really decentralized has different age cases.

For example one of the scenario that is possible in a centralized platform is that at a time T0 what we have is that a operator DSO put these are the terms for the payment about the citizens. Time T1 we have the household the citizens that buy the the how can I call it that buy the specific smart meters they consent they sign up to a specific platform. We have the at time T T2 the entities that buy this kind of data and at time T3 we see that maybe for a reason like higher fee new price or they simply revoke some access to specific data we have that we have a promise not

binding from the from a point T0. So here are some research question that are interesting and the first one will be answered through the creation of economical model that try to represent these different scenario based on different platform. Then to you we will collect evidence through interviews different DSOs and not only from that but we also want to collect the logs that we have from our project Data Seller to understand better how it works and in the third research question is more a design approach where we want to also to understand if this mathematical model, economical model let me say is

transferable to other sectors like mobility in this case. So here I put some example about Data Seller and what we have here is that the the point of this slides is that the chain is important but it's not the only thing about the about the having a decentralized data marketplace. We need to check also other powers that an operator like a DSOs could have like I put upgrade, mint rights, fee rights, custody, access revocation. I put this one because in our case in Data Seller project specifically we saw that it was a hybrid approach and then I will show you the difference between the between the different platform but still

have the control on top of the data and on top of the rules of the market. So here I put the three different kind of approach that our economical model can analyze. So we have C for as a centralized platform. As I show you in the first slide it's centralized and we don't have a reward to to the citizens that create this data. On the H state for hybrid hybrid approach there are few projects like Data Seller that try to combine both the world, a centralized world and a decentralized world we can say but if you go through the five powers that I show you before I showed to before you

can see that it's not really decentralized and we are the same result for this question as a centralized platform. And then we want to go through a decentralized platform also to analyze the economical model that can be done using that specific rules. So this is the timeline that I we plan and the first step will be to create the draft of this economical model and then we go through the evidence as I said before, we go through the interview part and also the we collect the logs from the previous projects like Data Seller that we have access.

Then it will be a design phase where we also as I said before want to understand what will be the gap to translate this economical model to other sector and the release about the code, the papers and so on. The papers are horizontal to this pipeline because we also plan to publish before. So I want just to quickly give you two invitation. First of all this is an academic talk, so I would like to invite you to publish in a conference. This is the 51 edition of Compsac IEEE Compsac conference will be held in Tokyo, Japan the next year. So we try to create a strong community

in Ethereum blockchain also in this kind of academic conference. So if you work as a researcher and want to submit please you can do it. And the the last invitation is a totally side project that we are we are making in in the north of Italy. So here what we want to do we we bought historical place that is in completely in the nature and we want to create a hub for the Web 3 community. So what we want here this was it's an AI generated image but the point is that a former water mill near Milan and we want to create a community there to also inspire other

people and local students to how can I say to come close to this world. So thank you and you can find me at Defcon. >> Right, let's give our speaker a big round of applause. >> [music]