MétaCan
Menu
Back to cohort
Record W7007923373

Are Microgrids the Answer to a Cleaner Future? Part 2

2022· other· en· W7007923373 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2022
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsnot available
Fundersnot available
KeywordsJoinsGridConversationEnergy (signal processing)ElectricitySmart gridPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

In part one of our conversation about microgrids, we spoke with Charles Berndt, Manager of Grid Technology with Hydro Ottawa, about how these systems can help Canada reach its net zero goals. Charles joins us again for part two, this time focusing on how we can meet the demand for energy while maintaining safety and security-all in the name of decarbonizing our future. Related links LinkedIn: https://www.linkedin.com/in/charles-berndt-84427b2/ --- To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405 To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video on YouTube Check out our cool pics on Instagram More to learn on Facebook Keep up with the Tweets Transcript: Dan Seguin 00:06 This is thinkenergy, the podcast that helps you better understand the fast changing world of energy through conversations with game changers, industry leaders, and influencers. So join me, Dan Seguin, and my co host, Rebecca Schwartz, as we explore both traditional and unconventional facets of the energy industry. Hey, everyone! Welcome back. We're back today with Charles Berndt, Manager of Grid Technology at Hydro Ottawa to talk about micro grids on part two of our show. Last time, Charles went in depth about the benefits of micro grids and how they operate while connected to the electricity grid, but that they can also operate on their own using local energy generation in times of power outages caused by storms or grid failure. Today, he's going to discuss distributed energy resources, and how they are connected to the micro grid. Rebecca Schwartz 01:08 Now more than ever, we know people care about the environment, climate change and sustainability, and are increasingly interested in things like renewable generation and electrification. All of that leads us to creating a smarter electricity grid. Dan Seguin 01:23 Renewable energy generation is expected to play a major role in the further decarbonisation of Canada's electricity system, while relying on nature to assist us in generating cleaner electricity. Sometimes, it's not always the most reliable. Rebecca Schwartz 01:42 As we know, Mother Nature is pretty fickle. So, that's where distributed energy resources like energy storage and distributed generation come into play. Dan Seguin 01:52 Here's today's big question. While the time has come to decarbonize our grid even further with alternative energy sources, how can we ensure we can meet the growing demand for energy while also maintaining safety and security? Rebecca Schwartz 02:09 Charles, it's nice to have you back. Dan Seguin 02:11 Okay, Charles, let's dive into part two. What sets distributed energy resources, better known as DERs? Apart from micro grids? Both can generate or store energy and manage consumption depending on type, right? Can you unpack this for listeners? Charles Berndt 02:30 Yeah, I've always considered DERs kind of the individual parts of a micro grid, right? The micro grid is a holistic thing and an area where it has both generation and storage and consumption. Whereas DERs are those individual pieces that could be solar, it could be battery storage, it could be you know, it could be a hot water tank, you know, you can think of that as a distributed energy resource and electric vehicle battery, solar on the roof, any of those could be could be DERs, and they could be a part of a micro grid. But but not a micro grid on its own. If that, if that makes sense. Rebecca Schwartz 03:10 Okay, so what's driving the growth around distributed energy resources? Charles Berndt 03:14 I think you're seeing kind of two big drivers. I mean, the first is obviously economics of the storage and generation we're seeing solar and battery storage getting cheaper every year, it's falling quite rapidly. And it's a significant reduction in costs per kilowatt hour, every year. And they're getting better. And the second one, I would say is that drive towards lower carbon, I think, you know, customers are looking to reduce their carbon footprint, and they're starting to get to the point where they're willing to spend their own money to do that. So you have that double effect, the technology is getting better and cheaper, and then more customers are willing to invest and then it kind of gets that momentum. So I think it's it's very much the two things hand in hand. Dan Seguin 04:02 Okay. Now, Charles, talk to me about the rise of local energy. Is there a need for greater education to help customers understand that they can shift from being a consumer that's consuming energy to a prosumer- producing, even selling electricity back to the grid? Charles Berndt 04:22 Yeah, I'd say yes, but not in the way you might expect. I think I've found customers to be fairly well informed that the technology and how it works, they seem, you know, they seem to know exactly what the options are available. Ontario in specific has had those programs for for quite a few years and people are getting, getting a firm understanding. They're reading that in the news and they understand it quite well, actually. And so I find, excuse me, that the education support where it's needed is more around the economic choices available to them. Um, what is the business case and the return on that investment, if they were to make that leap? And unfortunately, that answer is very local. You know that every jurisdiction, every province, every territory, every country has a different economic model for how they sell and compensate electricity. And so there's no universal answer for everyone, it really, it really is a localized answer. And that's, I think, where you know, where the education or the support is needed is how to build that, build that in for people to help them understand, you know, how a homeowner or a business owner can make that choice and where the economics play out, and they can make the choice and empower them to make the choice that they want to. Dan Seguin 05:43 Okay, here's a follow up question. What's been the biggest barrier or challenge for more adoption? What's needed to overcome them? Charles Berndt 05:53 I'm gonna say economics again. And I know it's, it may be boring, but I've met, like I said, I've met a lot of passionate customers who want to adopt, but the economic case is not there. So I think, you know, there's, there's no silver bullet here. We've seen incentives have an impact in the past, but then I think we can all recognize that the solution to the problem needs to be a little bit more holistic and needs to be sustainable for all the customers. So I think we're seeing, you know, market reform is what's needed and we're starting to embark, Ontario is embarking on that journey, and I'm happy to see it but yeah, not, not this attempted silver bullet here for that one specific problem. It needs that big system view and make sure that we're making the appropriate choices. Rebecca Schwartz 06:40 We've touched on the what of micro grids, what about the 'how', how does it work connecting DERS and micro grids to the grid? Will utilities be required to digitally retrofit their aging infrastructure to make the grid more resilient and reliable in the face of increasing climate stress, rising electricity demand, and essentially greater overall dependence on electricity? Charles Berndt 07:05 The short answer is yes. All of the above, really. You know, as I mentioned, last time, the need to become more interactive with our customers as they, as they become increasingly part of that generation mix as they adopt distributed energy resources, we need to have more intelligence at the edge of our system. So not just looking at the substation and sending electricity down the wire, so to speak, but we need to manage the assets and the grid differently. This different type of management will help our planning and investment programs. And to do this, we need to make significant investment in our systems and how we collect data, how we manage data, how we use that data to make choices and operating the system, both for sunny weather and during major storms or events. And, you know, that's not to say we won't have to invest in the traditional sense, we're still going to need more wires, we're still going to need substations because we're a growing Ottawa is a growing community and electric vehicles, for example and electrification of heating and cooling brings, brings a lot of load. And so you've got to continually balance, you know, how do we do the non wires and incentivize those, but then also make sure that we have that foundation in place? So will it require us to digitally retrofit? Absolutely. It's all going to be a technology solution primarily. Dan Seguin 08:33 That's great. Thanks, Charles. Now, are there concerns about unpredictability of certain renewable energy resources and how that might impact the electricity grid and operations of micro grids? How do you mitigate that? Charles Berndt 08:48 I mean, it can be a concern. And you can mitigate that in kind of two ways. So, for the energy, we need to store it somehow. And that can be local, by putting a little battery next to your generation or some other type of storage, but then also, you can leverage the grid for that storage, you know, we can, we can use things like large hydroelectric generator systems in the far north to be a large grid size battery. So that's one way to do it. And the other way is to mix, you know, it's not all solar, it's not all wind, it's not all hydroelectric. It's really the combination of many and making sure- I keep coming back to this because I'm, you know, I really believe in looking at a systems approach; a holistic approach look at what mixing those look like where the sun goes down, the wind picks up and overnight, the river keeps flowing. So that's, you know, that's how you do it, is you make sure that yo

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.545
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.5640.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.158
Teacher spread0.152 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of Miscellaneous Information (Royal Gardens Kew)Same topicFinancial Analysis and Corporate GovernanceFrench-language works237,207