KMWAVE Inc.

KMWAVE Inc.

Oil, Gas, and Mining

New York City, New York 323 followers

talks about #Mining #Energy #Microwaves

About us

World Leaders in: Reducing Energy for the Industrial Processes: (e.g. Mining Industry: Implementing AI-based microwave-assisted rock breakage and mineral processing systems)

Website
www.kmwave.ca
Industry
Oil, Gas, and Mining
Company size
11-50 employees
Headquarters
New York City, New York
Type
Privately Held
Founded
2022
Specialties
Microwaves, Energy Analysis, Design, Numerical Modeling, AI, Mining, and Machine Learning

Locations

Employees at KMWAVE Inc.

Updates

  • View organization page for KMWAVE Inc., graphic

    323 followers

    Breakthrough in Recovering the Consumed Energy with Major Economic & Employment Consequences I want to thank Dr. Khashayar T. for providing the technology to detect and enhance/guide wave-matter interaction energy clusters for the sake of recovering a major portion of the energy that is consumed in energy-intensive operations. This paves the road for implementing many projects and operations such as entertainment, recycling, mineral extraction, landfill mining, transportation (cars, planes, trains), urban/rural development projects, desalination, production of goods and services, and other energy-intensive industrial operations. Wave-matter interaction energy clusters even in their quasi-temporal forms can be detected by spectroscopy and an intelligence system. These energy clusters (if needed) can also be enhanced or guided to be more effective in capturing the energy from natural processes or capturing the energy that is lost in energy-intensive operations. In order to perform the required energy-intensive task, various operations such as waste heat recovery, heat storage, spectroscopy & sensing for component monitoring, wireless & IoT operations, intelligence systems, external-field assisted activities (waves and plasma), and many other similar operations are employed. These operations give rise to vigorous interactions between external waves, material surfaces, and ambient thermodynamics (which is subject to pressure and temperature gradients) that lead to heat transfers, quasi-Kerr mediums, long-term residual energy, short-term non-equilibrium free energy, and many wave-matter (interaction) energy clusters such as quasi-temporal solitons, vortex solitons, plasmoids, plasmonic resonances, and even quasi-vortex fusion. These induced (net positive) energy processes dramatically reduce the energy required for the original (negative) energy processes. Concluding, this breakthrough dramatically improves business operations and the economies around the world. #economicrecovery #employment #businessimprovements #sustainableenergy #energy #eoe #energyofeverything #energyengineering #energystorage #energycapture #mmwave #wirelesscommunications #5g #6g #iot #soliton #industrialprocess #thermodynamics #heattransfer #kerrmedium #electromagnetic #ai #machinelearning #energystorage #plasmoids #vortexfusion #thermodynamics #freeenergy #microwave #optics #waveassisted #soliton #plasmonics #plasma #wavematter

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    323 followers

    Harnessing Ambient Energy: Accelerating Climate Change Reversal and Reducing Climate Change Costs The energy required for CO2 capture, storage, and conversion can be extracted from natural energy processes leading to lower global temperatures. For example, the concept of extracting non-equilibrium free energy from the global thermal bath to power CO2 conversion presents an innovative approach to addressing climate change. By harnessing ambient energy through wave-induced technologies and meta-catalysts, we could potentially create a sustainable method for converting CO2 into valuable products. This approach not only tackles the issue of greenhouse gas emissions but also provides a novel energy source. As we scale up the implementation of these technologies alongside waste heat recovery and traditional renewable energy sources, we could see an exponential increase in energy extraction from natural sources. Note that sustainable and renewable energy sources extract energy from the ambient space, and waste heat recovery systems in industrial operations recover heat that is otherwise lost to the natural energy systems and ultimately the global thermal bath. This accelerated energy outflow from the ambient space, relative to the energy inflow, leads to a faster decline in global temperature. Such a shift in energy balance accelerates the reversal of climate change due to the reductions in atmospheric CO2 levels and global temperatures. Investing in these technologies is nothing compared to the devastating costs of unchecked climate change. The potential loss of life, property damage, and economic disruption caused by climate-related disasters far outweigh the investment required to develop and implement these energy extraction and CO2 conversion technologies. By redirecting funds towards these innovative solutions, we could potentially mitigate future climate-related costs while simultaneously addressing the root cause of the problem. By capturing CO2 from the ambient space and either converting it into useful products or storing it, we create a circular economy approach to carbon management. This not only helps to reduce the current greenhouse gas burden but also provides economic incentives for the continued development and implementation of these technologies. As investment in these solutions increases, we could see a faster reversal of climate change trends and a significant reduction in the associated costs and devastation.

  • View organization page for KMWAVE Inc., graphic

    323 followers

    The Role of Non-Equilibrium Thermodynamics in Supplying the Energy for Endothermic CO2 Reactions from Ambient Space In the case of endothermic reactions (including endothermic CO2 reactions), the main objective is to extract the non-equilibrium free energy from the reaction space molecular thermal bath (heat reservoir) to supply a major portion of the energy required for the reaction. Electromagnetic waves, for example, can drive the reaction system into non-equilibrium states and alter reaction dynamics. The external field selectively excites specific molecular modes or electronic states to lower the activation barriers for endothermic reactions. The external field also induces or enhances asymmetric coupling between components of the reaction, and the non-equilibrium conditions create local temperature gradients within the system allowing energy to be extracted from the ambient environment. Wave-induced non-equilibrium free energy by itself is not sufficient for handling endothermic energy requirements. Note that the total energy input (including the external field) must be much less than the energy required for the endothermic reaction. The rest of the energy is supplied by the ambient space. The induced free energy has to be complemented by the available free energy from the local and ultimately the global thermal baths. For maximum non-equilibrium free energy transfer from the reaction space thermal bath to the exothermic reactants, wave-assisted technologies have to estimate the non-equilibrium free energy of the thermal bath, provide a mean for energy transfer to the reaction space, and properly apply EM waves to produce a resonance effect. For the energy transfer to the reaction space, the wave-assisted technologies increase the vibrational lifetime (or the time for energy excitement to a higher level and the decay to a stable state) of the thermal bath surrounding the reaction space. To estimate the non-equilibrium free energy of the target reaction space, a stochastic state machine such as the hidden Markov Model can be developed with the help of the intelligence system and the spectroscopic sensors to finetune the statistical thermodynamics of the reaction space. The continuously revised statistical thermodynamic partition function is used to update and predict the estimated non-equilibrium (fluctuating) energy dynamics such as Hamiltonian driving protocol, stochastic trajectory, non-equilibrium free energy, and temporal (fluctuating) positive energy components. The information is ultimately used to adjust the external field controlling parameters to produce the resonance effect with the minimum external field power consumption. The equivalent energy lost by the reaction space thermal bath in turn will be compensated by the ambient space or the so-called global thermal bath (heat reservoir) to maintain energy conservation. #freeenergy #electromagnetics #thermodynamics #endothermicreactions #co2conversion #ai

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    IoT Modules for Equipment Health Monitoring & Wave-Matter Energy Cluster Processing Instrument and Control Engineers like other disciplines are responsible for public safety and the safe and proper operation of equipment in industrial plants. They also have a role in increasing the energy supply of the plant (aside from other disciplines). IoT modules can be added to most of the equipment in industrial plant operations to perform diverse and redundant spectroscopy for nearby equipment for the sake of monitoring their operational health. Note: These modules can also perform some limited monitoring for the equipment that they are attached to. These modules act as wireless relays and micro/pico nodes for wireless communication which also involves millimeter and terahertz waves. Telecom and instrument & control teams are responsible for the integrity of wireless signals that are used for communication purposes. The intelligence system of the industrial plant will interpret the spectroscopic signatures of the equipment based on HAZOP protocols and will provide alarm and actuating signals to the dynamic intelligent Cause & Effect and Process & Safety Instrumented System of the plant. Various operations such as waste heat recovery, heat storage, spectroscopy & sensing for component monitoring, wireless & IoT operations, and external-field assisted activities (waves and plasma) unintentionally lead to the wave-matter interaction energy clusters that can serve as heat transfer conduits. Spectroscopy can also be devoted to detecting these wave-matter energy clusters, and wave-assisted technologies can be used to guide the energy that is stored in the clusters toward waste heat recovery locations such as surfaces, heat sources, heat storages, or final heat sinks. Captured energy can be in the form of temporal non-equilibrium thermodynamics free energies or longer lifetime energy/heat sources. The wave-assisted technologies can also assist the energy clusters to be more effective in capturing the energy from ambient space, natural processes, or capturing the energy that is lost in energy-intensive operations. #instrumentation #controlsystem #ai #spectroscopy #wasteheatrecovery #energyclusters #heatsource #heatsink #heatstorage #iot #wirelesscommunication #mmwave #microwave #terahertz #waveassisted #energyofeverything #plantintelligentsystem

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    Thanks to KMWAVE Inc., Wave-Assisted Technologies Can Be Used to Both Extract Non-Equilibrium Thermodynamics Free Energy from the Thermal Bath of the Energy-Consuming Operation and to Extract the Energy from the Wave-Matter Interaction Energy Clusters to Retrieve the Lost Thermal Bath Energy of the Energy-Consuming Target As specified in previous posts, energy-consuming operations induce positive energy resources that can be used to recover a major portion of the energy-consuming operation in industrial plants. For example, various operations such as waste heat recovery, heat storage, spectroscopy/sensing for component monitoring, and wireless operations unintentionally lead to wave-matter interaction energy clusters that can serve as induced positive energy resources. Note: In many cases, the energy clusters (without any engineered activity) can extract the wasted energy from an industrial operation or natural sources, return the energy to the plant (where it can be reused by the consuming operation), and delay the loss of energy to the ambient space. Suppose we have a quasi-temporal wave-matter interaction energy cluster such as a quasi-temporal Kerr medium and a soliton, and we want to transfer the energy in this soliton to a nearby (energy sink) material. Also, suppose the vibrational lifetime of the soliton (when its energy is excited to a higher level) is increased relative to the vibrational lifetime of the energy sink material through the use of an AI-enhanced wave-assisted technology. In that case, there will be an energy transfer from the soliton to the energy sink material. The energy sink material could be the ambient space or even the combined thermal bath, which encompasses an energy-consuming target area in an industrial operation. Note: As you are well aware, one way to supply energy for the energy-consuming target is to use wave-assisted technology to extract non-equilibrium thermodynamics free energy from the combined thermal bath, which encompasses the energy-intensive target area (to supply extra energy for the energy-intensive task such as rock breakage or an endothermic reaction). The same technology can also be used to extract energy from the soliton. Similarly, suppose the vibrational lifetime of an energy source material is increased relative to the vibrational lifetime of a quasi-temporal soliton by using a wave-assisted technology. In that case, there will be an energy transfer from the energy source to the soliton. #economicrecovery #employment #businessimprovements #sustainableenergy #energy #eoe #energyofeverything #energyengineering #electromagnetic #optical #microwave #terahertz #energystorage #energycapture #mmwave #wirelesscommunications #5g #6g #iot #soliton #industrialprocess #thermodynamics #heattransfer #kerrmedium #electromagnetic #ai #machinelearning #energystorage #plasmoids #vortexfusion #thermodynamics #freeenergy #optics #waveassisted #plasmonics #plasma #wavematter

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    Using Quasi-Temporal Kerr Medium/Solitons or Other Wave-Matter Interaction Energy Clusters As Heat Transfer Pathways in Energy-Intensive Operations Another Breakthrough by KMWAVE Inc. Wave-assisted AI-optimized technologies can be used to extract non-equilibrium free energy from the global thermal bath, which encompasses the energy-intensive target area (to supply extra energy for the energy-intensive operation such as rock breakage). The combined thermal bath of the target compensates for the lost free energy by extracting an equivalent amount from the target's ambient (or outside) space leading to ambient cooling. However, wave-matter interaction energy clusters can be enhanced or guided to be more effective in capturing the energy from ambient space, natural processes, or capturing the energy that is lost in energy-intensive operations. Various operations such as waste heat recovery, heat storage, spectroscopy & sensing for component monitoring, wireless & IoT operations, and external-field assisted activities (waves and plasma) unintentionally lead to the wave-matter interaction energy clusters that can serve as heat transfer conduits. These new heat transfer pathways to the target energy-consuming task such as endothermic reactions or rock breakage substantially reduce the energy required for these processes. This breakthrough dramatically improves business operations and the global economies. #economicrecovery #employment #businessimprovements #sustainableenergy #energy #eoe #energyofeverything #energyengineering #electromagnetic #optical #microwave #terahertz #energystorage #energycapture #mmwave #wirelesscommunications #5g #6g #iot #soliton #industrialprocess #thermodynamics #heattransfer #kerrmedium #electromagnetic #ai #machinelearning #energystorage #plasmoids #vortexfusion #thermodynamics #freeenergy #optics #waveassisted #plasmonics #plasma #wavematter

  • View organization page for KMWAVE Inc., graphic

    323 followers

    Negative Energy Processes Unexpectedly Induce Positive Energy Processes (Energy of Everything Concepts)! Breakthrough in Dramatically Reducing Energy Consumption and Increasing the Production Capacity in Industrial Energy Processes Suppose we have a process that requires energy for its operation such as extracting minerals from ores, endothermic reactions (such as some H2 and CO2 conversion schemes), or a steam production module for heavy oil extraction. In order to perform the required energy-intensive task, various operations such as waste heat recovery, heat storage, spectroscopy & sensing for component monitoring, wireless & IoT operations, intelligence systems, external-field assisted activities, and many other similar operations are employed. These operations give rise to vigorous interactions between external waves, material surfaces, and ambient thermodynamics (which is subject to pressure and temperature gradients) that lead to heat transfers, quasi-Kerr mediums, long-term residual energy, short-term non-equilibrium free energy, and many wave-matter (interaction) energy clusters such as quasi-temporal solitons, vortex solitons, plasmoids, plasmonic resonances, and quasi-vortex fusion. These energy clusters are able to collect energy from the ambient natural processes and the global thermal bath of the engineered energy processes and use this energy as needed. These induced (net positive) energy processes dramatically reduce the energy required for the original (negative) energy process by properly designing the side operations and employing a sophisticated intelligence system. In extreme cases, the gained induced energy becomes close to the energy consumed. This also paves the way for engineered industrial energy processes to increase production capacities, leading to more employment and enhanced business conditions. #energy #eoe #energyofeverything #energyengineering #energystorage #energycapture #mmwave #wirelesscommunications #5g #6g #iot #soliton #industrialprocess #thermodynamics #heattransfer #kerrmedium #electromagnetic #ai #machinelearning #energystorage #plasmoids #vortexfusion #thermodynamics #freeenergy

  • View organization page for KMWAVE Inc., graphic

    323 followers

    Breakthrough in Recovering the Consumed Energy with Major Economic & Employment Consequences Nothing can describe my state of happiness! I want to thank Dr. Khashayar Teimoori, CEO of KMWAVE Inc. for providing the technology to detect and enhance/guide wave-matter interaction energy clusters for the sake of recovering a major portion of the energy that is consumed in energy-intensive operations. This paves the road for implementing many projects and operations such as entertainment, recycling, mineral extraction, landfill mining, transportation (cars, planes, trains), urban/rural development projects, desalination, production of goods and services, and other energy-intensive industrial operations. Wave-matter interaction energy clusters even in their quasi-temporal forms can be detected by spectroscopy and an intelligence system. These energy clusters (if needed) can also be enhanced or guided to be more effective in capturing the energy from natural processes or capturing the energy that is lost in energy-intensive operations. In order to perform the required energy-intensive task, various operations such as waste heat recovery, heat storage, spectroscopy & sensing for component monitoring, wireless & IoT operations, intelligence systems, external-field assisted activities (waves and plasma), and many other similar operations are employed. These operations give rise to vigorous interactions between external waves, material surfaces, and ambient thermodynamics (which is subject to pressure and temperature gradients) that lead to heat transfers, quasi-Kerr mediums, long-term residual energy, short-term non-equilibrium free energy, and many wave-matter (interaction) energy clusters such as quasi-temporal solitons, vortex solitons, plasmoids, plasmonic resonances, and even quasi-vortex fusion. These induced (net positive) energy processes dramatically reduce the energy required for the original (negative) energy processes. Concluding, this breakthrough dramatically improves business operations and the economies around the world. #economicrecovery #employment #businessimprovements #sustainableenergy #energy #eoe #energyofeverything #energyengineering #energystorage #energycapture #mmwave #wirelesscommunications #5g #6g #iot #soliton #industrialprocess #thermodynamics #heattransfer #kerrmedium #electromagnetic #ai #machinelearning #energystorage #plasmoids #vortexfusion #thermodynamics #freeenergy #microwave #optics #waveassisted #soliton #plasmonics #plasma #wavematter

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