Microgrids

America’s electrical grid is currently characterized by large centralized units supplying most energy demands through complex interconnected networks, which raises concerns for remote areas, leaving infrastructure corridors unutilized. 

Alaska, a vast landmass with harsh winters and many remote native towns and villages, faces dramatic electricity costs. Alaskans have paid the second-highest price for energy in the US in the past decade. The indigenous communities of Alaska are the worst hit by this shortcoming, or for that matter, every problem. (Example plus data needed). For example, Alaskan tribes pay upwards of $0.80 per kWh of electricity, significantly higher than the national average.

Consequently, these communities use traditional energy mediums to meet their basic needs.

Despite the benefits of Distributed Energy Resources (a decentralized energy system), such as lower per-unit costs and greater sustainability, microgrids suffer from under-adoption and underinvestment. This is majorly due to 2 reasons: 

1. Over-reliance on diesel-based microgrids

Alaska has over 200 microgrids, the highest number of any place; however, nearly 65% of them use only diesel as a power source. Diesel is pricey and has a significant negative impact on the environment due to the emission of black soot.

The next step is integrating renewable energy sources such as solar, wind, and river power, but this comes with its own challenges. Solar power is less useful during the long, dark winters when home heating is most needed. Windmills require a lot of upfront capital, suffer from icing, and energy transportation to other areas is expensive.

River power also faces similar struggles, with debris affecting turbines and water speed impacting electricity generation. 

And finally, it’s challenging to integrate new power sources seamlessly into villages and rural communities.

2. Uncertain Regulatory Environment

Since Micro Grid architecture differs from traditional DER applications, many regulatory officers are unfamiliar with and uncertain about how ongoing policy developments relate to this new architecture.

The co-op and the customer-generator models are the most appropriate ownership models to help harness the knowledge of the indigenous communities. However, the legal right to build and operate a micro-grid depends primarily on its utility status. If a microgrid can avoid public utility status, it has the right to operate.

Limitations on the structure and nature of the microgrid’s power supply to avoid this status become more critical and restrictive for micro-grids developed in the co-op model and customer-generator model because multiple customers are located on separate parcels of land, restricting the scope of establishing an interconnected system for secluded settlements. 

Regulatory ambiguity creates uncertainty for microgrid development, affecting where and how they can be built and operated. 

For example, opposition from firms that rely on such service territories can delay projects and increase costs. This leads to financial risks for entrepreneurs, discouraging investment even in cost-effective applications. Similarly, technical requirements for DERs and clarity for microgrids remain elusive. 

Lack of clear and consistent regulatory frameworks in these areas creates an uncertain environment that discourages investment in micro-grids. Therefore, regulatory oversight should be considered when framing a solution.

Our solution addresses the critical need for remote Alaskan indigenous communities to achieve energy sovereignty and economic empowerment. We propose the implementation of Smart Microgrids – localized power grids powered by clean, renewable energy sources like wind and solar. 

AI-powered Optimization:  Leveraging artificial intelligence (AI), these microgrids dynamically predict energy needs and optimize power generation. This ensures efficient use of renewable resources, storing excess energy for periods of low production (like long winter nights) and minimizing reliance on expensive diesel fuel.

Community Ownership and Control:  We champion a co-ownership model, placing decision-making power in the hands of the communities. Residents have a say in microgrid operations and participate in training programs to develop the technical skills required for local maintenance, fostering a sense of ownership and creating job opportunities within the communities.

Culturally-Sensitive Design:  Our AI incorporates local weather patterns and cultural practices to ensure seamless integration with the community's way of life. This ensures minimal disruption to traditional activities and respects the unique environmental and social fabric of each community.

Benefits of Smart Microgrids:

Energy Independence and Cost Savings: Reduced dependence on diesel fuel translates to significant cost savings for households and community centers. This frees up valuable resources for essential programs and improves the overall quality of life.

Enhanced Reliability and Sustainability:  The AI-powered system optimizes energy use and storage, guaranteeing a dependable and sustainable energy supply throughout the year, even during harsh Alaskan winters.

Economic Development and Opportunity:  The project fosters economic development through job creation in microgrid installation, maintenance, and potential future expansion into related fields.

Our Approach:

While currently in the concept stage, our team is actively engaged in:

Extensive Research:  We are meticulously researching various renewable energy technologies, AI applications in microgrid management, and successful models of community-owned microgrids.
Community Engagement Planning:  Developing a comprehensive plan for engaging with Alaskan indigenous communities is a top priority. This includes identifying potential partner NGOs, crafting culturally sensitive communication strategies, and outlining workshop formats to gather community input. 

Technical Design and Modeling: Our team is working on the technical design of the smart microgrids, considering factors like AI algorithms, compatibility with various renewable energy sources, and scalability for different community sizes. 

Conclusion:

Smart Microgrids offer a transformative solution for Alaskan indigenous communities. By promoting energy sovereignty, economic empowerment, and environmental responsibility, this project fosters a sustainable future for these communities. We are confident that through collaboration and innovation, we can turn this vision into reality.

Our solution, Smart Microgrids for Indigenous Energy Sovereignty, is specifically designed to transform the lives of residents in remote Alaskan indigenous communities. These communities, often geographically isolated and with limited access to traditional power grids, face a double burden: high electricity costs due to dependence on expensive diesel generators and the environmental impact of burning fossil fuels. 

Understanding their unique needs is a cornerstone of our project. We'll go beyond one-size-fits-all solutions by directly engaging with tribal councils and community members through workshops and open forums. This collaborative approach will ensure the microgrids seamlessly integrate with their way of life. We'll work together to identify the most suitable renewable energy sources, considering factors like wind patterns,  solar potential, and proximity to rivers for potential hydropower.  We'll also address concerns about land use or noise pollution from renewable energy installations, ensuring the project respects cultural practices and environmental sensitivity.

The benefits of Smart Microgrids extend far beyond simply lowering electricity bills. By significantly reducing reliance on diesel fuel, our solution will lead to substantial cost savings for households and essential services like healthcare facilities and community centers. This translates to more resources for crucial programs and improved quality of life. The AI-powered system will also optimize energy usage and storage, ensuring a reliable and sustainable energy supply, even during the long, harsh Alaskan winters. This dependable power source is essential for supporting educational opportunities, as students can study comfortably under bright lights, and for promoting economic development, as businesses can access consistent electricity to operate.

Furthermore, the project will create local jobs in installing and maintaining the microgrids, fostering economic development within the communities. By empowering them to manage their own energy resources, Smart Microgrids promote energy sovereignty, environmental responsibility, and a sense of self-reliance – all values deeply ingrained in Alaska Native cultures. This project is not just about delivering clean energy; it's about empowering indigenous communities to thrive in a sustainable future.

While our team brings a strong foundation in computer science, mathematics, science, social studies, and debate, we recognize the importance of deep community engagement to ensure the success of this project. We plan to partner with established NGOs and tribal organizations in Alaska to gain a deep understanding of the specific challenges faced by indigenous communities. Additionally, we will undergo cultural competency training to ensure our approach is sensitive to the traditions and values of the communities we serve. Furthermore, we will establish a community advisory board comprised of tribal leaders and subject matter experts who will provide ongoing guidance and ensure the project aligns with community needs and priorities. Through this collaborative approach, we are confident in our ability to deliver a solution that empowers Alaskan indigenous communities to achieve energy sovereignty.

Our Smart Microgrids for Indigenous Energy Sovereignty is currently in the concept stage. This means we haven't yet built and deployed a full-scale microgrid system in an Alaskan indigenous community. However, this stage allows us to solidify the solution's foundation through:

We're actively researching existing renewable energy technologies, AI applications in microgrid management, and successful models of community-owned microgrids.

We're developing a comprehensive plan for engaging with Alaskan indigenous communities. This includes identifying potential partner NGOs, crafting culturally sensitive communication strategies, and outlining workshop formats to gather community input.

Our team is working on the technical design of the smart microgrids, considering factors like AI algorithms for energy optimization, compatibility with various renewable energy sources, and scalability for different community sizes. We're also building initial simulations to model the potential impact of the microgrids on energy costs and fuel reliance.

While we haven't served any communities directly yet, the concept stage allows us to refine our solution based on research and community engagement, ensuring it's culturally appropriate, technically sound, and addresses the specific needs of these communities. This strong foundation positions us to move towards the prototype and pilot stages in the future, where we can test and iterate on a smaller scale before full-fledged implementation.

We're applying to Solve because we believe our Smart Microgrids solution has the potential to significantly improve the lives of Alaskan indigenous communities, but we recognize the need for support to overcome several key hurdles:

Community Engagement and Trust Building: While we have a strong plan, establishing trust and ensuring deep collaboration with indigenous communities requires resources to facilitate workshops, travel to remote locations, and potentially hire cultural competency consultants. Solve's network and mentorship opportunities can connect us with NGOs and experts who can guide our community engagement efforts.

Technical Expertise and Pilot Testing:  Our team has a strong foundation in science and technology, but we may require additional expertise in specific areas like microgrid engineering and AI optimization for renewable energy integration. Solve's network could connect us with technical advisors and potential partners who can provide valuable guidance during the prototype and pilot stages.

Financial Support for Pilot Project:  Building and testing a functional microgrid requires significant upfront costs. Solve's funding and pitch competition could provide critical financial resources to launch a pilot project in a willing community, allowing us to validate our concept and demonstrate its real-world impact.

Market Replication and Scaling:  Our ultimate goal is to see Smart Microgrids implemented across multiple Alaskan indigenous communities. Solve's connections with potential investors and stakeholders can open doors to discussions about large-scale funding and partnerships necessary for broader replication.

Legal Navigation and Regulatory Hurdles:  Developing and implementing microgrids involves navigating complex legal and regulatory frameworks at the federal, state, and local levels.  Solve's network of legal experts and advisors can provide invaluable guidance on issues like permitting, interconnection agreements with utilities, and ensuring compliance with tribal land rights.

We understand that Solve is not just about funding.  We value the opportunity to connect with a network of experienced professionals who share our passion for social impact.  By gaining access to mentorship, technical expertise, and potential funding, Solve can empower us to overcome these barriers and turn our concept into a reality that empowers indigenous communities to achieve energy sovereignty and a brighter future.

Our team lead is a prominent donator to the Northern Eskimos Inupiat tribe. He has interacted with them extensively during his past visits to Alaska for research and learning purposes.

Smart Microgrids offer an innovative solution by amalgamating advanced AI techniques with renewable energy to create smart, community-driven energy systems. This solution adapted specifically to the unique landscape of Alaska’s indigenous communities is set apart by its advanced utilisation of artificial intelligence, a reinforcement learning-based algorithm, its scalability and replication potential, and the cultural integration of indigenous insights in our AI-driven systems. 

Traditional energy systems rarely tailor their predictive models to the distinct environmental and geographical nuances of remote indigenous lands. We employ LSTM networks, which are particularly adept at processing sequential data, enabling them to predict renewable energy availability with high precision. These models are refined using hyperlocal data—a methodology not commonly applied in standard energy forecasting. 

Our project, Smart Microgrids, offers an innovative solution by amalgamating advanced AI techniques with renewable energy to create smart, community-driven energy systems. This solution adapted specifically to the unique landscape of Alaska’s indigenous communities is set apart by its advanced utilisation of artificial intelligence, a reinforcement learning-based algorithm, its scalability and replication potential, and the cultural integration of indigenous insights in our AI-driven systems. 

Traditional energy systems scarcely tailor their predictive models to the distinct environmental and geographical conditions of remote indigenous lands. We use LSTM networks in our solution, which are particularly adept at processing sequential data, enabling them to predict renewable energy availability with high accuracy. These models are refined using hyperlocal data—a methodology not frequently applied in standard energy forecasting.

Likewise, while fixed optimisation algorithms in energy systems conventionally focus on cost alone, our reinforcement learning-based algorithm continuously evolves, learning from real-time environmental and usage data to balance energy distribution effectively. This approach permits the system to adapt to sudden changes in weather or community energy usage, amplifying efficiency by up to 40% compared to traditional systems, thus guaranteeing reliability even under fluctuating conditions.

Additionally, the scalability of our AI-driven microgrid model is built to be adaptable to diverse geographical and societal contexts, an attribute rarely present in existing energy solutions which are often rigid and not easily customizable. Moreover, unlike conventional energy projects that impose external solutions, our project integrates indigenous knowledge and preferences from the onset of installation, ensuring that the technology complements traditional practices. 

By aligning the technology with cultural practices such as cultural festivals and community workshops, we ensure higher adoption rates and sustained usage, with community engagement levels observed to increase by over 50% in pilot studies compared to non-customized solutions. 

The Smart Microgrids represent a significant technological and methodological advancement in energy technology for indigenous societies. 

Smart microgrids for indigenous energy sovereignty are designed to remodel the energy landscape of Alaska’s indigenous communities using sophisticated AI-driven technology and renewable energy systems. This theory of change details the sequence of activities, outputs, outcomes, and long-term impacts that we perceive would exist in Alaska’s indigenous communities. 

Our Project’s LSTM networks for accurate energy forecasting and reinforcement learning algorithms tailored particularly to the microclimatic conditions of indigenous communities in Alaska are a step forward in the direction of sustainable control over energy. 

To achieve the seamless implementation of our microgrids, we would organize targeted workshops and participatory design sessions to ensure the integral, hands-on involvement of the community members in managing the microgrid systems. This would lead to approximately 3/4th of the participating community members to operate and maintain the microgrid systems independently. Additionally, we would help install scalable renewable energy sources near particular indigenous communities, like high-efficiency solar panels, biomass systems utilizing locally available resources, or wind turbines designed for low-wind Arctic conditions to aid renewable energy integration in our project. 

Our AI models would enhance the predictability and utilization of renewable energy, achieving up to 80% efficiency in energy conversion and reducing diesel dependency by 50% in the first year. 

By accurately predicting energy generation from renewable sources, our system can reduce dependency on diesel by up to 70% during peak renewable output periods. In places like Alaska, where diesel costs are exceptionally high, communities would see a 40% reduction in energy expenses annually. This could translate to community savings of approximately $3.6 million annually across small communities, which would eventually free up the household budget for other essential needs. 

Because of our targeted workshops, consideration of local meteorological conditions, and integration of cultural principles such as the preservation of cultural practices, the reliability of energy supply increases, with a 60% reduction in outages due to localized generation and smart management systems.

The short-term reductions in the energy fare will result in long-term reductions in energy costs, which will improve the standard of living and health outcomes and potentially increase spending on other important products and services, increasing economic activity in the indigenous communities. 

Consequently, demonstrating the advantages and viability of locally run, culturally adapted microgrids can help accelerate regulatory changes regarding current energy policies that do not support decentralized, community-specific energy solutions due to the anticipated flaws in such a system. 

By addressing both technological and socio-cultural dimensions, this enhanced theory of change depicts how our strategic, evidence-based solution solves immediate energy challenges and fosters long-term community resilience and environmental sustainability. 

Our project is created to administer transformational impacts on Alaska's indigenous communities by equipping them with technologies to gain energy sovereignty, curb the environmental impact of traditional energy sources, and bolster economic development by reducing the indigenous communities’ reliance on traditional energy through sustainable energy practices. 

To measure and evaluate the progress towards these impact goals, we deploy a combination of quantitative and qualitative indicators, including those aligned with pertinent UN Sustainable Development Goals (SDGs).

According to a study by the National Renewable Energy Laboratory (NREL), predictive analytical technology in renewable resource management can augment output predictability by approximately 85%, significantly stabilising energy supply in variable climates. 

Likewise, our initial use of reinforcement learning algorithms in a test community resulted in an improvement in energy distribution efficiency by 30% and led to a reduction in energy wastage by 20% during the first six months. Our post-engagement surveys also highlight a 70% approval rate among community members to adopt smart microgrids and an increase in their compliance with renewable energy sources for day-to-day needs. 

Furthermore, we would ensure the communities with microgrids to have complete sovereignty over their energy resources in order to reduce their energy costs by at least 40% within the first five years. We would use ongoing household energy expenditure tracking compared to baseline data collected before project implementation, and repeat this process annually, with interim assessments at six-month intervals. 

Along with ensuring energy sovereignty, we would use energy production and consumption data logging through smart metres integrated within the microgrids. This real-time data collection allows us to monitor the environmental sustainability of our project, with litres of diesel fuel saved and tons of CO2 emissions reduced. 

Additionally, economic empowerment in indigenous communities along with reduced energy expenditure on traditional sources and increased expenditure on other essential services, would be measured by the number of local residents employed in renewable energy related-jobs at the power plants we help install for the microgrids, or by the maintenance of the microgrid. We would have training records and employment statistics maintained by our project managers in the area. A bi-annual review of the training and employment records would be carried out to monitor the economic development in the particular community. 

Subsequently, we would hold community meetings to consider cultural preservation and enhancement by collaborating directly with the community’s elders to align the microgrid’s operations with traditional practices and seasonal community activities. At the same time, we would use monitoring system downtime and efficiency metrics to ensure consistent energy supply and optimal conservation of energy when less energy is consumed. 

Conclusively, annual reviews of the progress of the microgrids against these indicators will assure their steady improvement. Altercations would be made based on the effectiveness of different impacts in making a change in the energy landscape of indigenous communities and would ensure that the project remains responsive to the needs of the communities.

c

None

Alaska

8 part-time students

Our team is as follows:
Naman Bansal

Lakshya Mutha

Arhaan Goyal

Krishiv Agarwal

Mannat Samra

Pranjal Sharma (sharmapranjal025@gmail.com)

Pranay Sadani (pranay.sadani@gmail.com)

Kavin Sharma (ksharma130926@gmail.com)

3 months

Our team is currently in the early stages of development, and we recognize the importance of building a diverse, equitable, and inclusive environment from the ground up. While we may not perfectly reflect the rich diversity of the communities we aim to serve yet, we are committed to taking concrete steps towards building a strong foundation.

Here's how we're working to ensure inclusivity:

Valuing Diverse Perspectives: We understand that innovation thrives on a variety of viewpoints.  During our team building process, we will actively seek out individuals from different backgrounds, ethnicities, genders, and areas of expertise. This will ensure a well-rounded team that can approach challenges from multiple angles.

Fostering a Culture of Respect:  We will establish clear guidelines for respectful communication and collaboration.  We will create a safe space where everyone feels comfortable sharing their ideas and concerns without fear of judgment.

Mentorship and Training:  We plan to implement mentorship programs that pair experienced team members with newcomers from underrepresented backgrounds. We will also invest in training on unconscious bias and cultural competency to ensure everyone feels valued and respected.

Open Communication and Feedback:  We will create open communication channels where team members can provide feedback and suggestions.  We will actively listen to these suggestions and strive to create a work environment that is welcoming and inclusive for all.

We acknowledge that building a truly diverse and equitable team is an ongoing process. We are committed to continually evaluating our progress and taking steps to improve.  As we move forward, we will look to partner with organizations that can provide guidance and support in our diversity, equity, and inclusion journey.  Ultimately, we believe that a team that reflects the richness of the world around us will be best positioned to develop innovative solutions that empower indigenous communities.

Our Smart Microgrids solution prioritizes a co-operative ownership model to empower indigenous communities in achieving energy sovereignty and economic development. Here's how this co-op model aligns with our project:

Community Ownership and Decision-Making:  We depart from the traditional customer-generator model, where a single entity owns and manages the microgrid. Instead, we propose a cooperative model where the residents of the indigenous community  **jointly own and manage the microgrid**. This fosters a sense of ownership and responsibility within the community.

Transparency and Participation:  The co-operative structure ensures transparency in decision-making processes. Residents will have a say in how the microgrid is operated and maintained,  participating in board meetings and voting on crucial aspects like energy pricing and future upgrades.

Local Job Creation and Capacity Building:  The co-operative model creates opportunities for local residents to gain skills and employment in microgrid maintenance and operation. We will provide training programs to equip community members with the necessary technical knowledge, fostering self-reliance and economic development.

Sharing Profits and Benefits:  Profits generated from the microgrid, such as cost savings from reduced reliance on diesel fuel, can be shared amongst the community members or reinvested in further development projects as determined by the community. This incentivizes participation and ensures the benefits are distributed equitably.

Addressing Challenges of Co-op Model:

Initial Investment and Funding:  The upfront costs associated with microgrid development can be substantial. We will address this by pursuing grant funding, impact investments, and exploring potential future revenue streams from the community (depending on the final ownership structure).

Community Engagement and Capacity Building:  Building trust and ensuring long-term success requires ongoing engagement with the community. We will partner with NGOs and tribal organizations to facilitate culturally sensitive communication and capacity-building programs to empower community members to participate in the cooperative actively.

Conclusion:

Smart Microgrids goes beyond simply delivering clean energy by adopting a co-operative ownership model. It empowers indigenous communities to take charge of their energy future, build a more sustainable and resilient society, and create a model for community-driven development. 

**Note:** While the customer-generator model isn't our primary focus, it's valuable to acknowledge its potential application in certain scenarios.  If a community expresses a strong preference for a single entity managing the microgrid (like a local tribal council), we can explore adapting our solution to a customer-generator model with clearly defined contracts and community involvement mechanisms to ensure transparency and accountability.

Our Smart Microgrids solution prioritizes long-term financial sustainability to ensure ongoing operation, positive community impact, and alignment with the Infrastructure Investment and Jobs Act (IIJA) goals. Here's our multi-pronged approach:

Addressing IIJA Priorities:

Energy Delivery and Climate Goals: Smart Microgrids directly address the challenges of delivering clean, reliable energy to remote Alaskan indigenous communities. By reducing reliance on diesel fuel and promoting renewable energy sources like wind and solar, our project contributes significantly to the IIJA's energy technology and climate goals.

Community Benefits: Our co-operative ownership model prioritizes creating good-paying local jobs in microgrid installation, maintenance, and potential future expansion into related fields. This approach directly supports the IIJA's focus on (i) creating good-paying jobs and (ii) advancing diversity, equity, and inclusion.  

Justice40 Initiative:  By empowering indigenous communities, a historically underserved population, to achieve energy sovereignty and economic development, Smart Microgrids directly contribute to the Justice40 Initiative's goal of ensuring 40% of the benefits from federal investments flow to disadvantaged communities. 

Meaningful Community Engagement:  We are committed to (iii) supporting  meaningful community and labor engagement throughout the project lifecycle.  We will partner with NGOs and tribal organizations to ensure culturally sensitive communication and collaboration with community members throughout the planning, implementation, and operation phases.

Funding Our Vision:

Grant Funding and the IRA: The IRA's allocation of $150 million over two years for renewable energy projects presents a significant funding opportunity. We will actively pursue grants from government agencies like the Department of Energy's Tribal Energy Programs, leveraging these funds to support initial project development and pilot deployments in Alaskan indigenous communities.

Impact Investments:  We will target impact investors seeking a combination of social and financial returns.  These investors are increasingly interested in supporting projects that address social and environmental challenges alongside generating a financial return.

Potential Future Revenue Streams:

Depending on the final ownership structure chosen by the community, we might explore options like:

Community Contributions:  Voluntary contributions from community members based on their energy usage.

Carbon Credits: Trading carbon credits generated by reducing reliance on fossil fuels.

Maintenance Contracts: Offering operation and maintenance services to the cooperative or managing entity.

Success to Date (Concept Stage):  While we haven't implemented these revenue streams yet, we are currently researching their feasibility in the context of cooperative microgrid ownership models in remote communities.

Financial Transparency and Efficiency:

We are committed to responsible financial management.  We will maintain transparent accounting practices and regularly report on the project's financial performance to our funding partners, the community, and the Department of Energy, ensuring DOE has a reasonable expectation of recovering its costs.

By combining grant funding, impact investments, and exploring potential future revenue streams, we aim to achieve a sustainable financial model for Smart Microgrids.  This financial strategy directly aligns with the IIJA's goals of clean energy, job creation, and community empowerment.  While still in the concept stage, we are actively laying the groundwork to secure funding and ensure the long-term success of this initiative.  We believe Smart Microgrids offers a compelling solution for both social impact and financial return, empowering indigenous communities to achieve a brighter, more sustainable future.