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Building decarbonization: How electric heat pumps could help reduce emissions today and going forward
Buildings are a significant contributor of carbon emissions. As the broader economy transitions to net zero, various stakeholders are pushing for building decarbonization —whether it’s real-estate investors who have made net-zero commitments, policy makers setting emissions limits, or tenants looking for greener spaces. Electrifying space and water heating systems is one way to reduce building emissions—and electric heat-pump technology, which has improved and become cost-competitive in certain markets, has emerged as an increasingly viable solution.
About the authors
Heating and cooking in commercial and residential buildings account for 6 percent of global CO 2 emissions, according to our recent report on the net-zero transition . (By factoring in emissions from total electric power consumed, energy use by buildings contributes approximately 27 percent of global CO 2 emissions. 1 Thibaut Abergel et al., Tracking buildings 2021 , International Energy Agency, November 2021. ) These emissions are largely due to the on-site use of fossil fuels such as oil and natural gas.
Building heat has typically been a challenge to electrify at scale because of the high cost and complexity of converting a wide variety of current heating systems (steam, hot water, forced air, to name a few), as well as the relative cost-effectiveness of fossil-fuel energy sources in most cold weather population centers. However, electric heat pumps have become an increasingly effective way for buildings to decarbonize due to operating, equipment, and installation costs becoming more competitive in certain markets, as well as developments in heat-pump technology. (A heat pump uses refrigerant and electricity to transfer heat from outdoor air or the ground to the inside of a building, even in colder temperatures). Today’s models are 2.2 to 4.5 times more efficient than gas furnaces. If implemented worldwide, using heat pumps instead of traditional boilers and furnaces could cut global CO 2 emissions by 3 gigatons per year. According to McKinsey analysis, heat pumps could constitute approximately 90 percent of new heating unit sales by 2050, compared with 35 percent today.
Are heat pumps a fit?
Heat pumps are an optimal decarbonization solution for only certain building types. When assessing for viability, building owners and other stakeholders will often need to start by looking at a building’s current heat distribution system (exhibit).
Buildings with forced air or low-temperature hot water distribution, for example, tend to be good candidates for heat-pump retrofits, as they don’t require high operating temperatures. However, distribution systems that require high operating temperatures, such as steam, might make less sense for a retrofit. For some buildings and markets, heat-pump conversion could be significantly expensive compared with other low-emissions options, including hybrid boiler systems in which a fossil-fuel backup turns on when electricity prices spike (in certain cases, the gas distribution system could continue to provide reliability and resiliency in the case of power outages 1 This will require gas-powered heating units to be able to function without electricity, but that should not pose a significant barrier technologically. ). Regions that rely on district heating are markets in which decarbonizing central facilities could be more cost-effective than installing individual heat pumps.
Our research suggests that shifting demand, an evolving policy landscape, falling costs in certain markets, and technological improvements have all given heat pumps momentum as a decarbonization lever. However, heat pumps are not a one-size-fits-all solution (see sidebar, “Are heat pumps a fit?”). There are additional options to decarbonize a building’s energy use, including “greening” power generation with renewables (whether utility scale or on-site), electrification of cooking appliances, energy-efficiency improvements to a building’s envelope, and installation of smart building controls (such as thermostats).
In this article, we’ll focus on the potential for heat pumps to help reduce building emissions and decarbonize real-estate assets, as well as possible actions stakeholders can consider. These actions are based on homeowner surveys and more than 50 interviews that we conducted with utility leaders, contractors, manufacturers, real-estate developers, and property managers.
Why the electrification of building heat is trending up
Momentum to electrify building heat is accelerating, as investors, tenants, and regulators in many markets press for decarbonization. In response, building owners are increasingly exploring heat pumps as an energy-efficient, cost-effective solution. The interest in heat pumps is driven by four trends.
Shifting demand
Major real-estate investors, lenders, property managers, and tenants have made decarbonization commitments that now need to be met by reducing operating emissions of buildings. Given that space and water heating are the primary contributors of building emissions, electrification represents a meaningful step toward realizing decarbonization goals. Assuming the electricity were to come from clean sources, electrifying space and water heating in residential and commercial buildings where it is feasible could reduce those buildings’ 2016 heating emissions by 20 percent .
Evolving regulation
Policy makers, particularly in Europe and the United States, are beginning to introduce legislation supporting building decarbonization, including changes to building code requirements, bans on gas connections to new buildings, emissions limits (with financial penalties for noncompliance), and incentives. Examples of recent regulatory shifts include the following:
- In Germany, the country’s coalition agreement states that by 2025, all newly installed heating systems must operate with at least 65 percent renewable energy. 2 Dare more progress: Alliance for freedom, justice and sustainability , Coalition agreement 2021-2025 between the Social Democratic Party of Germany, Alliance 90/The Greens, and the Free Democrats.
- A number of US cities, including Denver and Boston, and several municipalities in the Bay Area of California, have introduced building code changes that stipulate more stringent requirements for energy efficiency and emissions. 3 Ordinance 20211310, City and County of Denver, November 29, 2021; Ordinance amending City of Boston municipal code, Ordinances, Chapter VII, Sections 7-2.1 and 7-2.2, Building Energy Reporting and Disclosure (BERDO), City of Boston; Mike Jaske et al., California building decarbonization assessment , California Energy Commission, August 13, 2021.
- Bans on gas connections to new buildings are being implemented in several areas. The Netherlands passed a law in 2018 providing that new homes would not be connected to the gas grid, by default. 4 Climate Act, May 28, 2019, Government of the Netherlands. Several US cities have banned gas connections to new buildings as well, including Berkeley, California, in 2019 and New York City in 2021. Recently, New York Governor Kathy Hochul voiced support for a statewide gas ban on new buildings. 5 Ordinance No. 7,672-N.S., City of Berkeley, CA, July 16, 2019; “Mayor de Blasio signs landmark bill to ban combustion of fossil fuels in new buildings,” City of New York press release, December 22, 2021; “Governor Hochul delivers 2022 State of the State,” New York State press release, January 5, 2022.
- Additionally, in New York City, Local Law 97 requires an 80 percent reduction in emissions intensity over the next 30 years for large multifamily and commercial buildings, with annual fines beginning in 2024 and increasing in 2030 for exceeding emissions caps. 6 Local Law 97, City of New York, 2019.
- In several US states, including Massachusetts and New York, incentives for replacing fossil-fuel heating systems with heat pumps are becoming available, whether from local utilities or government-sponsored programs. For example, Massachusetts’ Mass Save program, sponsored by local electric and gas utilities, provides residential building owners with rebates that help offset the cost to install heat pumps. 7 Air Source Heat Pump Rebates, Mass Save.
Improving economics
Heat pumps are approaching cost parity compared with fossil-fuel sources of heat in multiple markets. Rising natural gas prices in certain regions, particularly in Europe, as well as continuing improvements in energy efficiency have given heat pumps an operating-cost advantage in some cases.
Equipment and installation costs, which have historically posed the biggest economic barrier to heat-pump adoption, are beginning to decline. 8 “Ditching costly gas and oil is cheaper thanks to heat pump scheme,” United Kingdom press release, May 23, 2022; “Fact sheet: President Biden takes bold executive action to spur domestic clean energy manufacturing,” White House press release, June 6, 2022. Increased competition among OEMs—including Asian manufacturers of air-conditioning systems, which now produce air-to-air heat pumps at scale—is leading to lower equipment prices. In markets where adoption is more prevalent, the labor costs of installation have gone down, due to improving technical expertise. In a few Nordic countries, for example, installation of a typical air-to-air heat pump requires an average of two person-days, compared with four to eight person-days in the rest of Europe, according to our analysis.
Advancing technology
Developments in technology, including refrigerant composition and better compressor speeds, have improved heat pumps’ effectiveness. 9 Thibaut Abergel, Heat pumps , International Energy Agency, November 2021. On average, the efficiency of heat pumps increases by about 2 percent annually, our research found. Rising cold temperature coefficient of performance values, a measure of energy efficiency, have made heat pumps effective in some Nordic climates. 10 While heat-pump technology for colder climates has become more efficient, air-to-air heat-pump systems in these areas still typically require backup heating (geothermal systems do not). Additionally, when outdoor temperatures reach the 0–5°F range during winter, heat pumps can lead to spikes in electrical load, which can challenge buildings’ electrical panels and grid infrastructure. For customers with concerns over the efficacy of cold climate heat pumps, hybrid systems (for example, electric heating solutions combined with backup fossil-fuel heating) can be deployed. According to a 2014 study, approximately one-fourth of Norwegian households were already heated by heat pumps, for example. 11 “Large increase in the use of heat pumps,” Statistics Norway, July 14, 2014.
One size does not fit all
While heat pumps offer a potential decarbonization solution, they don’t currently meet every building and building owner’s needs. Operational viability and installation costs vary widely across different types of buildings, due to factors such as age, size, and the current heat distribution. It’s key for building owners and other relevant stakeholders to have flexibility in considering different decarbonization paths, even if timelines are tight (to meet new emissions-reduction targets, for example).
How building owners and other leaders could prepare for an electrified future
Heat-pump adoption at scale could benefit from actions taken by multiple stakeholders, both collectively and individually. Aside from policy makers—many of whom are already taking steps—building owners, heat-pump manufacturers, electric utilities, and investors are among the potential stakeholders that could help accelerate building-heat decarbonization in the near and medium term.
Building owners
Building owners may face new regulatory guidelines or shifting tenant demands when it comes to heating. In some markets, a heat-pump system could potentially be cost-competitive. Building owners could be proactive in understanding their options and planning for upgrades by considering a few potential actions:
- Replacing heating systems before failure or end of equipment life. Some building owners may choose to wait until their heating system fails or falters. This approach could result in a rushed replacement decision without full consideration of heat-pump viability. Instead, building owners could proactively investigate and evaluate heat-pump alternatives.
- Exploring the potential for retrofits during building turnover. Particularly for large multifamily or commercial buildings, retrofits to enable heat-pump installation (for example, ductwork or wiring) or improved energy efficiency (building envelope) could lay the groundwork for future heating, ventilation, and air-conditioning (HVAC) upgrades. Vacant buildings or buildings undergoing major renovations could be an option to consider.
- Combining heat-pump-system installation (or preparation) with other measures. During a building retrofit, envelope upgrades, electric-vehicle (EV) charging equipment installation, and other energy-efficiency measures could also be considered to support the decarbonization impact of a single project.
- Designing new buildings with electrical infrastructure for the future. Building owners could coordinate with architects and designers early in the process to ensure that building design is optimized for heat pumps. Owners and engineers could also plan for potential increased electrical capacity needs for other uses, such as cooking appliances, clothes dryers, and EV charging.
- Preparing for increased demand on the electrical grid. As energy systems transition toward electrification, demand on electricity grids is likely to increase. According to McKinsey research, electricity demand could triple by 2050 . In some regions, electricity demand could outstrip capacity if an electrical grid’s infrastructure hasn’t been updated to accommodate higher demand peaks. Building owners considering heat-pump installation in colder climates—where electricity demand could increase during winter months—might consider having an on-site hybrid heating system where a fossil-fuel backup turns on when electricity prices spike, for example.
Manufacturers
There are potential ways heat-pump manufacturers could play a role in market activation and widespread adoption, including the following:
- Educating both customers and HVAC professionals. Some early adopters of heat pumps have experienced poor system performance, often from improperly installed equipment. Consequently, some potential buyers are wary of their effectiveness. Manufacturers and installation professionals could work together to overcome this perception. For example, some manufacturers are setting up online and in-person training sessions on heat-pump installation and maintenance. 12 “Mitsubishi Electric Trane HVAC US launches new website,” Mitsubishi Electric Trane HVAC US press release, July 14, 2021. They are also connecting contractors with interested customers through online lead-generation platforms.
- Innovating heat-pump design for improved performance, reduced equipment cost, and easier installation. Manufacturers could help address key barriers to adoption through improved design, with more modular or compact solutions, for example, or systems designed to mitigate electric-panel or grid constraints. More streamlined, efficient equipment could also make installation easier—potentially leading to lower installation costs.
- Providing a variety of offerings—particularly for different building types and colder climates. More equipment options would create more pathways for buildings to electrify. For some very cold climates, manufacturers could further develop hybrid options that combine heat-pump technology with a backup fossil-fuel heater.
- Bundling heat-pump installation with advanced building controls. Technologies such as smart thermostats could enhance customer cost savings and energy efficiency. Manufacturers may offer customers such technologies along with heat-pump purchases.
- Considering partnerships with capital providers. Manufacturers could make installation costs more attractive for building owners by partnering with capital providers on retrofit services.
Electric utilities
Electric utilities are at the intersection of multiple stakeholders that would be involved in heat-pump adoption at scale and have the potential to play a convening or coordinating role. And greener electricity is key to optimizing heat pumps’ potential as a decarbonization strategy. Traditional electric utility actions could include:
- Advancing mitigation measures for shifts in demand peaks. As heating electrifies, electric peak loads could shift from summer to winter in colder regions (Exhibit 1) as well as to different times of the day. Utilities could begin to identify and mitigate grid constraints. For example, electric utilities could rethink their system maintenance schedules: an eight- to nine-month maintenance window during non-summer months could eventually shift to two- to three-month windows during the more temperate (and potentially less peak-load-inducing) spring and autumn. Utilities could also consider load-control mechanisms, such as smart thermostats.
- Coordinating between gas and electric planning. A combination of gas and electric infrastructure will likely be needed to supply many customers through the broader energy transition. As more customers electrify, infrastructure decisions may benefit from coordination to help ensure that both networks continue to operate safely and reliably. For example, some markets could maintain the gas network as a “hybrid backup” to the electric network for the coldest days.
- Pivoting energy-efficiency programs toward electrification. Working with local and state policy makers, utilities could consider offering incentives for building owners to make upgrades. This process is already beginning in some places. Colorado, for example, recently passed a union-backed law requiring utilities to offer financial support for building owners looking to electrify their heating systems. 13 State Bill 21-246, Colorado 73rd General Assembly, June 2021. In New York, Con Edison plans to invest billions of dollars to reduce emissions from buildings through energy-efficiency upgrades and electrification of space and water heating, with a goal of electrifying more than 150,000 buildings by 2030. 14 “Our clean energy commitment,” Consolidated Edison Company of New York.
- Investing in renewables and energy storage methods. Reducing power sector emissions is key to most decarbonization pathways. On a grid that’s primarily powered by fossil fuels, carbon emissions can be at their highest during peak load times, when fossil-fuel-powered auxiliary stations (also known as peaker plants) come online to meet sharp increases in demand. Our analysis shows that, for a typical North American grid, heat pumps powered by renewables could produce significantly lower emissions than those from other common heating methods (Exhibit 2). Long-duration energy storage technologies, while still nascent, could also help to reduce emissions generated by heat pumps. By maintaining stores of renewable electricity via hydrogen or batteries, utilities could limit exposure to high-emissions energy sources, even on the coldest days.
There is potential for private-equity and real-estate investors to consider building decarbonization as an investment priority. As we explored in a recent article , real-estate leaders are looking to decarbonize their assets, future-proof portfolios, and create new sources of value. McKinsey research on the net-zero transition estimates that decarbonizing the buildings sector would require increased capital spending at an average of $1.7 trillion per year between 2020 and 2050.
Investors could help to set and track decarbonization targets, and could work with relevant stakeholders (for example, operators and tenants) to explore how heat pumps might help meet those goals. Investors may also explore different financing models for electrification (energy-as-a-service leases, for example) and related energy-efficiency measures.
Additionally, innovation is still needed to advance building decarbonization in areas such as electrical infrastructure and energy management. These could be areas for start-ups to consider, for example, with backing from venture capitalists.
Electrifying building heat is a key and challenging step in achieving global and local net-zero goals, as well as in decarbonizing real-estate assets. It will likely require a significant investment of time, money, and planning. A one-size-fits-all solution doesn’t yet exist, as full electrification might not be suitable for a subset of building types or energy delivery systems. However, electric heat pumps have emerged as a viable decarbonization technology for many building types and could provide a path to energy efficiency and emissions reductions.
Gustav Bolin is an associate partner in McKinsey’s Stockholm office, Ann Hewitt is a consultant in the New York office, Blake Houghton is a partner in the Dallas office, Charlie Jersey is a consultant in the Dusseldorf office, and Evan Polymeneas is a partner in the Chicago office.
This article was edited by Andrew Simon, a senior editor in the Seattle office.
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OpenAI Offers a Peek Inside the Guts of ChatGPT
ChatGPT developer OpenAI’s approach to building artificial intelligence came under fire this week from former employees who accuse the company of taking unnecessary risks with technology that could become harmful.
Today, OpenAI released a new research paper apparently aimed at showing it is serious about tackling AI risk by making its models more explainable. In the paper , researchers from the company lay out a way to peer inside the AI model that powers ChatGPT. They devise a method of identifying how the model stores certain concepts—including those that might cause an AI system to misbehave.
Although the research makes OpenAI’s work on keeping AI in check more visible, it also highlights recent turmoil at the company. The new research was performed by the recently disbanded “superalignment” team at OpenAI that was dedicated to studying the technology’s long-term risks.
The former group’s coleads, Ilya Sutskever and Jan Leike—both of whom have left OpenAI —are named as coauthors. Sutskever, a cofounder of OpenAI and formerly chief scientist, was among the board members who voted to fire CEO Sam Altman last November, triggering a chaotic few days that culminated in Altman’s return as leader.
ChatGPT is powered by a family of so-called large language models called GPT, based on an approach to machine learning known as artificial neural networks. These mathematical networks have shown great power to learn useful tasks by analyzing example data, but their workings cannot be easily scrutinized as conventional computer programs can. The complex interplay between the layers of “neurons” within an artificial neural network makes reverse engineering why a system like ChatGPT came up with a particular response hugely challenging.
“Unlike with most human creations, we don’t really understand the inner workings of neural networks,” the researchers behind the work wrote in an accompanying blog post . Some prominent AI researchers believe that the most powerful AI models, including ChatGPT, could perhaps be used to design chemical or biological weapons and coordinate cyberattacks. A longer-term concern is that AI models may choose to hide information or act in harmful ways in order to achieve their goals.
OpenAI’s new paper outlines a technique that lessens the mystery a little, by identifying patterns that represent specific concepts inside a machine learning system with help from an additional machine learning model. The key innovation is in refining the network used to peer inside the system of interest by identifying concepts, to make it more efficient.
OpenAI proved out the approach by identifying patterns that represent concepts inside GPT-4, one of its largest AI models. The company released code related to the interpretability work, as well as a visualization tool that can be used to see how words in different sentences activate concepts, including profanity and erotic content, in GPT-4 and another model. Knowing how a model represents certain concepts could be a step toward being able to dial down those associated with unwanted behavior, to keep an AI system on the rails. It could also make it possible to tune an AI system to favor certain topics or ideas.
By Matt Burgess
By Sachi Mulkey
By David Robson
By Joseph Cox
Even though LLMs defy easy interrogation, a growing body of research suggests they can be poked and prodded in ways that reveal useful information. Anthropic, an OpenAI competitor backed by Amazon and Google, published similar work on AI interpretability last month. To demonstrate how the behavior of AI systems might be tuned, the company's researchers created a chatbot obsessed with San Francisco's Golden Gate Bridge . And simply asking an LLM to explain its reasoning can sometimes yield insights .
“It’s exciting progress,” says David Bau , a professor at Northeastern University who works on AI explainability, of the new OpenAI research. “As a field, we need to be learning how to understand and scrutinize these large models much better.”
Bau says the OpenAI team’s main innovation is in showing a more efficient way to configure a small neural network that can be used to understand the components of a larger one. But he also notes that the technique needs to be refined to make it more reliable. “There’s still a lot of work ahead in using these methods to create fully understandable explanations,” Bau says.
Bau is part of a US government-funded effort called the National Deep Inference Fabric , which will make cloud computing resources available to academic researchers so that they too can probe especially powerful AI models. “We need to figure out how we can enable scientists to do this work even if they are not working at these large companies,” he says.
OpenAI’s researchers acknowledge in their paper that further work needs to be done to improve their method, but also say they hope it will lead to practical ways to control AI models. “We hope that one day, interpretability can provide us with new ways to reason about model safety and robustness, and significantly increase our trust in powerful AI models by giving strong assurances about their behavior,” they write.
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Future Electrical Machines
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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section " E: Electric Vehicles ".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 27804
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Dear Colleagues
Electrical machines play a crucial role in all industry fields and power generation, as well as final energy use and domestic applications. In this modern reality and under the global need for CO 2 emission reduction, electric motors, transformers and generators are continuously evolving, aiming for higher efficiencies simultaneously with more reliable operation.
In the field of energy generation and consumption, great changes are taking place. An increasing number of electrical machines are working together with power electronics, while a significant portion of the generated power is covered by renewable energy harvesting. A large number of multiterminal HVDCs are planned in the transmission systems, with new transformers specially designed for them. Moreover, regarding the end use of electric power, there are many developments, such as high-efficiency motors, motors for electric vehicles, aircraft drives, and new technologies such as reluctance, permanent magnets, and superconducting machines.
The electrical machine operation and condition monitoring in the era of the industry 4.0 will be equally innovative. New techniques for signal processing, artificial intelligence, big data analysis, new sensors, and wireless and real time monitoring devices, among others, will be used for the control and supervision of electrical machines.
This Special Issue will focus on all the new advances related to electrical machines, such as novel designs, new applications, condition monitoring, etc. Papers related to modern advances in electrical machines which will shape the future in this field are most welcome.
Prof. Dr. Carlos Platero Dr. Konstantinos N. Gyftakis Guest Editors
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- Electrical machines
- Permanent magnet synchronous machines and drives
- Reluctance synchronous machines and drives
- High-efficiency electric motors
- Superconducting electrical machines
- Reluctance machines
- Electrical machine condition monitoring
- Electric motors for vehicle and rail applications
- Aircraft electric drives
- Artificial-intelligence-based electrical machines and drives
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Computer Science > Machine Learning
Title: evaluating large language models trained on code.
Abstract: We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copilot. On HumanEval, a new evaluation set we release to measure functional correctness for synthesizing programs from docstrings, our model solves 28.8% of the problems, while GPT-3 solves 0% and GPT-J solves 11.4%. Furthermore, we find that repeated sampling from the model is a surprisingly effective strategy for producing working solutions to difficult prompts. Using this method, we solve 70.2% of our problems with 100 samples per problem. Careful investigation of our model reveals its limitations, including difficulty with docstrings describing long chains of operations and with binding operations to variables. Finally, we discuss the potential broader impacts of deploying powerful code generation technologies, covering safety, security, and economics.
Comments: | corrected typos, added references, added authors, added acknowledgements |
Subjects: | Machine Learning (cs.LG) |
Cite as: | [cs.LG] |
(or [cs.LG] for this version) | |
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This Special Issue, "Design and Application of Electrical Machines", was established. to provide original results of research, simulation, design, and the build of and testing of. modern ...
We are seeking both original research as well as review papers. Dr. Omid Beik Guest Editor. ... While much attention has been paid to improving performance and reducing carbon emissions in electrical machines, the current research landscape focuses mainly on the thermal and electromagnetic facets. Surprisingly, carbon emissions from the ...
With the increasing concerns on more electricity or full electricity for modern energy conversion systems, the key component of electric machine, has been paid more and more attention for the development of the new topologies and advanced drives. In the meantime, the emerging machines and drives show the increasing merits for the modern industrial needs. This paper investigates the latest ...
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The paper presents the results of FEM 2D computational studies of a three-phase Direct Current Excited Flux Switching Machine (DCEFSM) electric motor with 15 rotor teeth and 36 stator teeth. The aim of the research was to minimize the cogging torque of the machine by changing the geometry of the rotor teeth and the size of the air gap between ...
Moreover, a concept of general flux switching electric machines based on a unified theory and its application to develop a novel doubly fed dual stator motor (DFDSM) for electric vehicles (EVs) has been proposed in a previous research [].The design method using numerical finite element method (FEM) and improved TS algorithm have been used to find the optimal values of the geometry parameters ...
This Special Issue, "Design and Application of Electrical Machines", was established to provide original results of research, simulation, design, and the build of and testing of modern electrical machines. In total, 18 papers related to the main topic were accepted and published in this Special Issue.
This paper will provide an overview of the various applications where electrification is taking place. The presentation will focus on electrical machines and drives that have been developed or are currently under development. The paper will also cover some general trends and potential areas of research.
where f is the excitation frequency, B the magnitude of sinusoidal magnetic flux density, and C ha, C ea, C aa, and h are the alternating core loss coefficients.. In case of rotating electrical machines, the rotational core losses have to be considered. Figure 2.2 plots the average core losses with alternating flux density from 2 to 2,000 Hz and circular rotating flux density vectors from 5 to ...
Electric fields are induced by both static charges and changing magnetic fields. Faraday's law can be stated as a time-varying magnetic field that gives rise to an electric field. Electric Machines are the electromechanical energy conversion devices used to transform mechanical energy to electrical energy and vice-versa.
10th Anniversary of Machines—Feature Papers in Electrical Machines and Drives (Deadline: 31 December 2024) Integration and Implementation of AI in the Control and Monitoring of Electrical Machines, High Power Converters, and Energy Storage Systems (Deadline: 31 December 2024) Data-Driven Control of Permanent Magnet Synchronous Motor (PMSM ...
This paper presents an evaluation of the current technologies and future requirements of electrical machine in automotive. First, a comparative of ten different electrical machines based on the market available electrical vehicles and hybrid electrical vehicles is made. The aim of the comparison is to evaluate the different electrical machine topologies, structure, operation conditions, and ...
Research Open Access 07 Jun 2024 Scientific Reports Volume: 14, P: 13095 Enhancing customer retention in telecom industry with machine learning driven churn prediction
Topologies: Hottest Topics in the Electrical Machine Research Community" (2014). Electrical and Computer Engineering Faculty Research and Publications. 687. ... Other articles provide comparisons of FSCW SPM and IPM machines. Some papers focus on multiphase FSCW PM machines, while others address axial-flux FSCW PM machines as well. Figure 1
An electrical machine was designed for an energy storage flywheel in a load-levelling system for a city bus. This machine has a slotless stator, and was designed by the use of analytical field calculations. ... The work described in this paper forms part of a research project into the energy storage part of a load-levelling sys- tem for city ...
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A body or surface having constant emissivity , i.e, independent of wavelength, is called a gray body. For a gray body, the thermal radiation is illustrated by the equation below. 2.8 where is the total emissive power from a gray body, is the emissivity. Emissivity for different materials can be found in [8].
A few years later, in 1861-62, Maxwell published a famous four-part paper entitled On Physics Lines of Force, which was followed, in 1865, by his greatest work , 'A dynamical theory of the electromagnetic field' in which he unified electric and magnetic fields into one concept: a wave travelling through space at the speed of light and in ...
Wire EDM covers a wide area of research that can machine various super alloys. Further, it is concluded that WEDM gives high performance when significantly tapered geometries are required to be cut. ... Mahesh Dalvi, Rahul Chavan, Research paper on electrical discharge machining, Int. J. Eng. Appl. Sci. Technol. 6 (11) (2022) 72-75, ISSN No ...
Browse Calls for Papers beta. Browse 5,060 journals and 35,600 books. A; A Review on Diverse Neurological Disorders. Pathophysiology, Molecular Mechanisms, and Therapeutics. Book ... Research in the Occurrence, Causation, and Prevention of Road Accidents. Book • 1971. Accident-Tolerant Materials for Light Water Reactor Fuels. Book
Heating and cooking in commercial and residential buildings account for 6 percent of global CO 2 emissions, according to our recent report on the net-zero transition. (By factoring in emissions from total electric power consumed, energy use by buildings contributes approximately 27 percent of global CO 2 emissions. 1 Thibaut Abergel et al., Tracking buildings 2021, International Energy Agency ...
Electrical Engineering is a journal publishing original papers in electrical engineering with a strong focus on electric power systems. Offers original research articles and insightful reviews. Focusses on areas including smart systems, systems planning, and energy distribution. Welcomes manuscripts describing theoretical, computer application ...
In this context, the role of electric machines, power electronics and more generally, of electric drives, is crucial. This Special Issue will be focused on novel solutions and research trends devoted to energy control, use, storage and management by means of electric machines, power electronics and electric drives
Days after former employees said the company was being too reckless with its technology, OpenAI released a research paper on a method for reverse engineering the workings of AI models.
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks, including passing a simulated bar exam with a score around the top 10% of test takers. GPT-4 is a Transformer ...
The World Economic Forum Future of Jobs Report 2023 listed data analysts and scientists as one of the most in-demand jobs, alongside AI and machine learning specialists and big data specialists . In this article, you'll learn more about the data analysis process, different types of data analysis, and recommended courses to help you get started ...
Here are the best cleaning supplies, tools, and machines for keeping your home healthy and spotless.
This paper presents current research trends and prospects of utilizing additive manufacturing (AM) techniques to manufacture electrical machines. Modern-day machine applications require extraordinary performance parameters such as high power-density, integrated functionalities, improved thermal, mechanical & electromagnetic properties.
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copilot. On HumanEval, a new evaluation set we release to measure functional correctness for synthesizing programs from docstrings, our model solves 28.8% of the problems, while GPT-3 solves 0% and GPT-J ...