Managed Cellular Grids
Smart Power Gen Ventures introduces “Managed Cellular Grids”
Multi-Source, Local and Renewable Energy Generation for Microgrids
Abstract
Smart Power Gen’s Managed Cellular Grids (“MCGs”) are emission-free, multi-local/renewable-source, AI-managed, scalable microgrids. At the core of each MCG, a Smart Gen Unit (“SGU”) manages the optimal energy source mixing and loads demand.
An MCG can operate connected to a synchronous grid, or in autonomous “island mode”. The connection to the grid is also managed by the SGU.
The SGU’s technology activates distributed intelligence to deliver optimal energy mixing rates and to effectuate distributed generation, distributed storage, and demand-side load management.
Development
MCGs are energy micro/nano/pico-grids developed around a region’s portfolio of renewable energy assets. They may be connected for increased efficiency.
For example, islands typically have two different regions: one is a windward side which is favorable to wind turbines, wave energy, and tidal turbines, but is also generally cloudier, which limits the productivity of photovoltaic sources. On the leeward side, the clearer skies will help the photo-voltaic sources to be more productive, and estuary turbines’ output will be more predictable. Baseload production and energy storage are developed around battery storage systems (“BSS”), geothermal sources, hydrogen, and locally available assets such as biomass.
In a continental setting, particularly in mountainous regions, conditions similar to islands’ can be addressed in the same ways. Conversely, plains emphasize wind, solar, river turbines, and biomass sources. Biomass and waste incineration schemes will be outfitted with Carbon Capture and Storage systems (“CCS”).
MCGs minimize the need for capital-intensive and environmentally destructive transmission lines. The expansion of the MCG model could trigger many transmission lines’ obsolescence and initiate the environmental regeneration and rewilding of those immense paths.
MCGs also incentivize utility companies’ restructuring from gigantic networks centered on huge power plants, to decentralized, resilient, and secure grids. The reliance on large interconnected grids diminishes with each microgrid’s increased performance through the SGUs’ machine learning which increases their effectiveness in managing the grids’ power generation, storage, and loads demand.
MCGs provide abundant, cheap, and non-polluting energy while addressing concerns such as grid resiliency, energy independence, and security, as well as social equity. They are a solution to the public’s demands and the economic necessities of modern energy. Concurrently, MCGs incentivize utility companies’ switch to renewable energy sources by providing solutions to minimize their costs and sustainability. In some areas, it is conceivable to eliminate the cost of energy to residential accounts.
Technology
As the most effective enabler of future smart grids, the SGUs use algorithms to implement distributed intelligence and manage distributed generation, distributed storage, and demand-side load.
The SGUs deliver cost-efficient energy management in multi-source renewable energy microgrids. The algorithms yield optimal energy mixing rates that can minimize the daily energy cost of renewable microgrids. The optimal energy mixing rates make multi-source renewable energy grids the most economical and secure energy solution for communities of variable sizes. The renewable source portfolio can include wind turbines, solar PV, geothermal systems, estuary turbines, wave floats/buoys, tidal turbines, river turbines, biomass, motion energy, and temperature differential systems, coupled with distributed battery systems, hydrogen solutions for storage and emergency backup, and off/on utility grid connection.
Variable energy pricing schemes can be used to control energy dispatches between microgrids and/or utility grids. SGUs can adjust energy mixing rates to achieve the cost-efficient and energy-balanced management of microgrids under varying generation, demand, and price conditions.
Conventional electricity grids do not fully respond to the demands of today’s energy communities. Sustainability, reliability, economic efficiency, and security of energy systems are the main concerns. The decrease of fossil fuel sources and the rise of urgent ecological issues exert great pressures to transition the existing electricity grid to smarter energy networks. To deal with the intermittent generation characteristics of renewable energy sources, future electricity grids must integrate the recent advances in information, communication, and control technologies. Smart Power Gen’s Managed Cellular Grids are the answer to these concerns and these opportunities.
UN Sustainable Development Goals framework:
http://www.un.org/sustainabledevelopment
Smart Power Gen works within the frameworks of SDGs 1, 7, 9, 10, 11, 12, 13, and 17:
– SDG 1 and 7: MCGs enable the implementation of distributed intelligence in smart grids, which provides equitable variable energy pricing under varying generation conditions.
– SDG 9: MCGs incite innovation and develop local infrastructure while reducing the negative impacts of large infrastructures. MCGs also provide opportunities for utilities to trade “Cellular Grids” according to their development models.
– SGD 10: MCGs help to reduce inequality by providing accessible, locally-managed, cheaper energy.
– SDG 11: MCGs play a key role in developing Sustainable Cities and Communities.
– SDG 12: MCGs provide the means for Responsible Consumption and Production.
– SGD 13: MCGs develop new infrastructure that enables carbon reduction for Climate Action.
– SGD 17: MCGs enhance multi-stakeholder global partnerships and the access to knowledge and dissemination of environmentally-sound science and technologies.
Smart Power Gen Ventures is a development by Indo-Pacific Green Growth Limited
Philip Lajaunie
https://www.IndoPacificEnvironmentalHub/#ipgg
