The U.S. Energy Information Administration (EIA) collects water cooling data for the electric power industry in the United States. This submission includes annual data from 2014 to 2019. Each spreadsheet details the generator type, fuel consumption, water consumption, cooling type, and equipment status, location, and water source for each plant.

EIA data on water cooling thermoelectric generators in the US.

Source: https://www.eia.gov/electricity/data/water/

Monthly cooling water usage by generator and boiler. Data collected in conjunction with the EIA-860 and EIA-923. Archived from https://www.eia.gov/electricity/data/water

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:

The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives

This API provides data back to 1990 and projections annually, monthly, and quarterly for 18 months. It provides data on U.S. heating degree days and cooling degree days. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Traditionally, specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. For the 2020 survey cycle, EIA used Web and mail forms to collect detailed information on household energy characteristics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses — information critical to meeting future energy demand and improving efficiency and building design. Archived from https://www.eia.gov/consumption/residential/

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into "https://specs.frictionlessdata.io/data-package/">Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:

• The PUDL Repository on GitHub
• PUDL Documentation
• Other Catalyst Cooperative data archives

The Form EIA-860 is a generator-level survey that collects specific information about existing and planned generators and associated environmental equipment at electric power plants with 1 megawatt or greater of combined nameplate capacity. The survey data is summarized in reports such as the Electric Power Annual. The survey data is also available for download here.

The data are compressed into a self-extracting (.exe) zip folder containing .XLS data files and record layouts. The current file structure (starting with 2009 data) consists of a record layout, 8 data files and a copy of the applicable version of the Form EIA-860 on which the data was collected.

The record layout provides a directory of all (published) data elements collected on the Form EIA-860 together with the related description, specific file location(s), and, where appropriate, explanation of codes. The data files consist of the following (substitute the applicable year for "yy" in the file name):

UtylityY*yy* - Contains respondent contact information and utility-level data for the surveyed generators.

PlantY*yy* - Contains plant-level data for the surveyed generators.

GeneratorY*yy* - Contains generator-level data for the surveyed generators, split into three tabs. The "Exist" tab includes those generators which are currently operating, out of service or on standby; the "Prop" tab includes those generators which are planned and not yet in operation; and the "Ret_IP" tab includes those generators which were cancelled prior to completion and operation and retired generators at existing plants (does not include data for retired generators at plants at which all generators have been retired).

OwnerY*yy* - Contains data on the owner and/or operator of the surveyed generators.

MultiFuelY*yy* - Contains data on fuel-switching and the use of multiple fuels by surveyed generators, split into three tabs: "Exist," "Prop," and "Ret_IP." See GeneratorsYyy above for a description of the tabs.

InterconnectY*yy* - Contains interconnection data for the surveyed generators.

EnviroAssocY*yy* - Contains boiler association data for the environmental equipment data collected on the Form EIA-860. The "Boiler_Gen" identifies which boilers are associated with each generator; the "Boiler_Cool" tab shows which cooling systems are associated with each boiler; the "Boiler_FGD" tab shows which flue gas desulfurization (FGD) systems are associated with each boiler; the "Boiler_FGP" tab shows which flue gas particulate (FGP) collectors are associated with each boiler; and the "Boiler_SF" tab shows which stacks and flues are associated with each boiler.

EnviroEquipY*yy* - Contains environmental equipment data for the surveyed generators. The "Boiler" tab collects boiler data as collected on Schedule 6, Parts B, and C of the Form EIA-860; "Control" tab contains emission data as collected on Schedule 6, Parts D and E; the "Cooling" tab collects cooling system data as collected on Schedule 6, Part F; the "FGD" tab collects FGD data as collected on Schedule 6, Part H; the "FGP" tab collects FGP data as collected on Schedule 6, Part G; and the "StackFlue" tab collects stack and flue data as collected on Schedule 6, Part I.

EIA Contact: Vlad Dorjets, phone: 202-586-3141, e-mail: Vlad Dorjets

The EIA-906, EIA-920, EIA-923 and predecessor forms provide monthly and annual data on generation and fuel consumption at the power plant and prime mover level. A subset of plants, steam-electric plants 10 MW and above, also provides boiler level and generator level data. Data for utility plants are available from 1970, and for non-utility plants from 1999. Beginning with January 2004 data collection, the EIA-920 was used to collect data from the combined heat and power plant (cogeneration) segment of the non-utility sector; also as of 2004, nonutilities filed the annual data for nonutility source and disposition of electricity. Beginning in 2007, environmental data was collected on Schedules 8A – 8F of the Form 923 and includes by-product disposition, financial information, NOX control operations, cooling system operations and FGP and FGD unit operations. Beginning in 2008, the EIA-923 superseded the EIA-906, EIA-920, FERC 423, and the EIA-423. Schedule 2 of the EIA-923 collects the plant level fuel receipts and cost data previously collected on the FERC and EIA Forms 423. Data for fuel receipts and costs prior to 2010 are published at /cneaf/electricity/page/eia423.html.

Power plant data prior to 2001 are published as database (.DBF) files, with separate files for utility and non-utility plants. For 2001 data and subsequent years, the data are in Excel spreadsheet files that include data for all plants and make other changes to the presentation of the data.

Note that beginning with January 2001, the data for combined heat and power plants (i.e., the plants that provide data on the EIA-920 form) will only be posted in the combined Excel file.

The links will allow you to download the current Excel files, and will take you to the locations from which you can download the DBF-format utility and non-utility files for 2000 and earlier. The "Database Notes from EIA" link will take you to information on changes to the data and other points of interest to users.

Historical database (.dbf) files for utility (1970-2000) and non-utility (1999-2000)

Utility Database	Legacy (.DBF) Format
Non-Utility Database	Legacy (.DBF) Format
Database Notes from EIA	Updated 4/21/10
Comments or Questions?	E-Mail EIA-923@eia.doe.gov

Additional Links:
Monthly Generation and Fuel Consumption by State
Electric Power Monthly
Form EIA-923, Power Plant Operations Report, form and instructions, (http://www.eia.doe.gov/oiaf/aeo/images/pdf.gif" alt="pdf file" height="16" width="16">) pdf format
Form EIA-923, Power Plant Operations Report, form and instructions, MS Word format

    <b>Contact:</b> <span class="bodypara"><div align="left"> Channele Wirman<br> Phone: 202-586-5356<br> Email: <a href="mailto:channele.wirman@eia.doe.gov">Channele Wirman</a></div></span>

The table 6_1_EnviroAssoc_Y2021_Early_Release_Boiler Cooling is part of the dataset EIA 860 (Annual Electric Generator Data), 2021, available at https://redivis.com/datasets/axt6-57e1ch05p. It contains 2967 rows across 7 variables.

This map layer depicts the climate zone designations used by the U.S. Department of Energy Building America Program by county boundaries (generalized version). It is intended as an aid in helping builders to identify the appropriate climate designation for the counties in which they are building. The guide can be used in conjunction with guidance in the Building America Solution Center and the Best Practices builders’ guides produced by the DOE Building America Program to help builders determine which climate-specific guidance they should use. This data for this layer is taken from Building America Best Practices Series, Volume 7.3 - Guide to Determining Climate Regions by County. The eight U.S. Building America climate regions described here are based on the climate designations used by the International Energy Conservation Code (IECC) and the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). The IECC climate zone map was developed by DOE researchers at Pacific Northwest National Laboratory with input from Building America team members, in particular Joseph Lstiburek of Building Science Corporation.a,b The IECC map was developed to provide a simplified, consistent approach to defining climate for implementation of various codes; it was based on widely accepted classifications of world climates that have been applied in a variety of different disciplines. The PNNL-developed map was adopted by the IECC and was first included in the IECC in the 2004 Supplement to the IECC. It first appeared in ASHRAE 90.1 in the 2004 edition. The IECC map divided the United States into eight temperatureoriented climate zones. These zones are further divided into three moisture regimes designated A, B, and C. Thus the IECC map allows for up to 24 potential climate designations. In 2003, with direction from the Building America teams, researchers at DOE’s National Renewable Energy Laboratory simplified the IECC map for purposes of the Building America Program, into eight climate zones. For reporting purposes, these are further combined into five climate categories: Hot-humid,hot-dry/mixed drymixed-humidmarinecold/very coldsubarctic.The Building America and IECC climate maps are shown in Figures 1 and 2. The climate regions are described below. Climate zone boundaries follow county boundary lines. A listing of counties comprising each climate zone is provided below, beginning on page 5. The climate region definitions are based on heating degree days, average temperatures, and precipitation as follows:Hot-HumidA hot-humid climate is defined as a region that receives more than 20 inches (50 cm) of annual precipitation and where one or both of the following occur:• A 67°F (19.5°C) or higher wet bulb temperature for 3,000 or more hours during the warmest six consecutive months of the year; or• A 73°F (23°C) or higher wet bulb temperature for 1,500 or more hours during the warmest six consecutive months of the year.The Building America hot-humid climate zone includes the portions of IECC zones 1, 2, and 3 that are in the moist category (A) below the “warm-humid” line shown on the IECC map. Mixed-HumidA mixed-humid climate is defined as a region that receives more than 20 inches (50 cm) of annual precipitation, has approximately 5,400 heating degree days (65°F basis) or fewer, and where the average monthly outdoor temperature drops below 45°F (7°C) during the winter months.The Building America mixed-humid climate zone includes the portions of IECC zones 4 and 3 in category A above the “warmhumid” line. Hot-DryA hot-dry climate is defined as a region that receives less than 20 inches (50 cm) of annual precipitation and where the monthly average outdoor temperature remains above 45°F (7°C) throughout the year.The Building America hot-dry climate zone corresponds to the portions of IECC zones 2 and 3 in the dry category.Mixed-Dry A mixed-dry climate is defined as a region that receives less than 20 inches (50 cm) of annual precipitation, has approximately 5,400 heating degree days (65°F basis) or less, and where the average monthly outdoor temperature drops below 45°F (7°C) during the winter months.The Building America mixed-dry climate zone corresponds to IECC climate zone 4 B (dry).Cold A cold climate is defined as a region with between 5,400 and 9,000 heating degree days (65°F basis).The Building America cold climate corresponds to the IECC climate zones 5 and 6.Very-Cold A very cold climate is defined as a region with between 9,000 and 12,600 heating degree days (65°F basis).The Building America very cold climate corresponds to IECC climate zone 7.SubarcticA subarctic climate is defined as a region with 12,600 heating degree days (65° basis) or more. The only subarctic regions in the United States are in found Alaska, which is not shown in Figure 1.The Building America subarctic climate zone corresponds to IECC climate zone 8.Marine A marine climate is defined as a region that meets all of the following criteria: • A coldest month mean temperature between 27°F (-3°C) and 65°F (18°C)• A warmest month mean of less than 72°F (22°C)• At least 4 months with mean temperatures higher than 50°F (10°C)• A dry season in summer. The month with the heaviest precipitation in the cold season has at least three times as much precipitation as the month with the least precipitation in the rest of the year. The cold season is October through March in the Northern Hemisphere and April through September in the Southern Hemisphere.The Building America marine climate corresponds to those portions of IECC climate zones 3 and 4 located in the “C” moisture category. Building America and IECC Climate ZonesThe table below shows the relationship between the Building America and IECC climate zones.

Building America
IECC


Subarctic
Zone 8


Very Cold
Zone 7


Cold
Zone 5 and 6


Mixed-Humid
4A and 3A counties above warm-humid line


Mixed-Dry
Zone 4B


Hot-Humid
2A and 3A counties below warm-humid line


Hot-Dry
Zone 3B


Marine
All counties with a “C” moisture regime

According to Cognitive Market Research, the global Residential Energy Management market size will be USD XX million in 2025. It will expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2031.

North America held the major market share for more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Europe accounted for a market share of over XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Asia Pacific held a market share of around XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Latin America had a market share of more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Middle East and Africa had a market share of around XX% of the global revenue and was estimated at a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. KEY DRIVERS

Rising Energy Consumption and Advanced Metering Infrastructure (AMI) are driving the market growth

As energy consumption continues to rise globally, the residential sector plays a significant role in increasing demand for energy resources. According to the International Energy Outlook 2016, the residential sector is projected to account for about 13% of the total world energy consumption by 2040. (https://www.eia.gov/pressroom/presentations/sieminski_05112016.pdf) This growth is expected to be driven by both the rising standards of living in emerging economies and the ongoing energy needs of developed nations. In countries within the OECD, such as the U.S., energy use per household remains high due to the prevalence of heating, cooling, and large electronic devices. Meanwhile, in non-OECD nations, particularly in regions like China and India, urbanization and the increasing adoption of household technologies (such as air conditioning and home appliances) are pushing residential energy demands even higher. This rise in energy consumption is fueling the need for more efficient and intelligent systems to manage these growing demands, making residential energy management (REM) solutions essential for future sustainability. Moreover, AMI systems, which include smart meters and communication networks, allow consumers to track their energy usage down to the device level, giving them more control over how they consume power. As governments and utility companies around the world invest in smart grid technologies, the adoption of AMI continues to rise. For instance, Pacific Gas and Electric in California has made significant strides in implementing AMI, enabling its customers to gain detailed insights into their energy consumption patterns.( https://docs.cpuc.ca.gov/PublishedDocs/SupDoc/A2403011/7148/527440696.pdf) This shift toward real-time data and control is helping households reduce waste and improve energy efficiency, thereby accelerating the demand for Residential Energy Management Systems (REMS). As more consumers become interested in reducing energy costs, AMI is serving as a foundational technology that drives the adoption of REM solutions. Government regulations promoting energy efficiency and the use of sustainable energy sources further boost the growth of residential energy management. Policies that encourage the use of renewables, such as solar power, alongside smart home incentives, are increasing the market for REM solutions. Governments are also implementing stricter standards for energy-efficient appliances and building insulation, which push homeowners to adopt technologies that optimize energy usage. For instance, the European Union has set ambitious energy efficiency goals, aiming to reduce energy consumption by 32.5% by 2030,( https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficiency-targets-directive-and-rules/energy-efficiency-targets_en) which includes fostering the adoption of smart home technologies. At the same time, real-time energy conservation technologies like smart meters, IoT sensors, and AI-powered analytics are empowering consumers to monitor and optimize their energy consumption instantaneously. These systems allow users to track inefficiencies, adjust consumption during peak and off-peak hours, and synchronize their energy production from renewable sources with demand, ultimately saving on energy cos...

The Residential Energy Consumption Surveys were designed by the Energy Information Administration (EIA) to provide information concerning energy consumption within the residential sector. Information about a housing unit is collected through personal interviews with adult residents of a representative national sample of households. Questions are asked about energy consumption of household appliances, energy use qualities of structural improvements such as heating and air conditioning, windows and doors, insulation as well as the time and circumstances of their installation. Data about actual energy consumption (excluding transportation fuel) are obtained from fuel records maintained by the households’ fuel suppliers. Each record in the survey represents a single household. The finest geographic identification available on each household record is Census division. Sample households from Alaska and Hawaii were removed from the public use file. Therefore, these data represent only the contiguous United States.

Hydrocarbon Gas Liquids PipelinesThis feature layer, utilizing data from the Energy Information Administration (EIA), displays the major hydrocarbon gas liquids (HGL) pipelines. Per EIA, "Hydrocarbons are molecules of carbon and hydrogen in various combinations. Hydrocarbon gas liquids (HGLs) are hydrocarbons that occur as gases at atmospheric pressure and as liquids under higher pressures. HGLs can also be liquefied by cooling. HGLs are found in raw natural gas and crude oil. HGLs are extracted from natural gas at natural gas processing plants and when crude oil is refined into petroleum products."Note: the source pipeline data was created by EIA using publicly available data from a variety of sources with varying scales and levels of accuracy.Dixie HGL PipelineData currency: This cached Esri service is checked monthly for updates from its federal source (Hydrocarbon Gas Liquids (HGL) Pipelines)Data modification: NoneFor more information, please visit: Hydrocarbon Gas Liquids ExplainedFor feedback please contact: ArcGIScomNationalMaps@esri.comEnergy Information AdministrationPer EIA, "The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment."

Abstract

Dataset quality **: Medium/high quality dataset, not quality checked or modified by the EIDC team

RECS measures the usage of energy in primary, occupied housing units, in 2020. This is the raw dataset measured at the household level.

It covers the following topics:

• the physical characteristics of the home (housing types, size, and age);
• the use of electronic devices and appliances;
• the use of heating and air conditioning systems;
• energy usage behaviors (frequency of usage, temperature setpoints);
• challenges associated with paying utility bills or keeping homes at healthy temperatures;
• total household energy consumption and expenditures; and
• their breakdown by energy end-use (modeled/estimated), such as by space heating, water heating, air conditioning, cooking, laundry, TV, lighting, and other end-uses.

Methodology

• **Target population: **all a) occupied housing units in b) the 50 states & DC that are used as c) primary residences.
• Sample: Homes that are occupied as a primary residence
• Excludes vacant homes, seasonal housing units, group quarters (e.g. dormitories, nursing homes, prisons, military barracks), and common areas in apartment buildings.

%3C!-- --%3E

• Includes housing units located on military installations.
• **Sampling method: **Unclustered sampling, Jackknife method
• **Mode of survey: **self-administered questionnarie via 1) the web or 2) mail/paper
• **Sample size: **18,496 households (72% via web questionnaire; 27.2% via paper questionnaire)
• Response rate: Unweighted, 38.6%; Weighted, 37.9%

%3C!-- --%3E

Usage

%3Cu%3E%3Cstrong%3ENote:%3C/strong%3E%3C/u%3E

• RECS is best suited for comparison across different characteristics of homes within the residential sector.

%3C!-- --%3E

• **RECS is **%3Cu%3E%3Cstrong%3Enot%3C/strong%3E%3C/u%3E

** appropriate for comparing EIA's other residential energy data** as the scope of RECS is limited to homes occupied as a primary residence. As a result, RECS estimates are not comparable with sector-level totals defined in other EIA datasets

%3C!-- --%3E

Abstract

This is a state-level summary of the Residential Energy Consumption Survey (RECS) 2020, for 50 states and the District of Columbia.

The survey measures characteristics that contribute to energy consumption in U.S. households.

The summarized datasets cover the following topics:

• Space heating
• Air conditioning
• Water heating
• Household characteristics
• Energy assistance

Methodology

• **Target population: **all a) occupied housing units in b) the 50 states & DC that are used as c) primary residences.
• Sample: Homes that are occupied as a primary residence
• Excludes vacant homes, seasonal housing units, group quarters (e.g. dormitories, nursing homes, prisons, military barracks), and common areas in apartment buildings.

%3C!-- --%3E

• Includes housing units located on military installations.
• **Sampling method: **Unclustered sampling, Jackknife method
• **Mode of survey: **self-administered questionnarie via 1) the web or 2) mail/paper
• **Sample size: **18,496 households (72% via web questionnaire; 27.2% via paper questionnaire)
• Response rate: Unweighted, 38.6%; Weighted, 37.9%

%3C!-- --%3E

Usage

%3Cu%3E%3Cstrong%3ENote:%3C/strong%3E%3C/u%3E

• The summarized datasets are weighted estimates of the number of households in each state.

%3C!-- --%3E

• Users should exercise caution in using estimates based on samples, as sample sizes could be small and the standard errors could be large.
• RECS is best suited for comparison across different characteristics of homes within the residential sector.
• **RECS is **%3Cu%3E%3Cstrong%3Enot%3C/strong%3E%3C/u%3E

** appropriate for comparing EIA's other residential energy data** as the scope of RECS is limited to homes occupied as a primary residence. As a result, RECS estimates are not comparable with sector-level totals defined in other EIA datasets

%3C!-- --%3E

Geothermal Energy Market size was valued at USD 7.8 Billion in 2024 and is projected to reach USD 12.4 Billion by 2032, growing at a CAGR of 5.9 % from 2026 to 2032.

Global Geothermal Energy Market Drivers

Growing Government Support and Renewable Energy: Growing government support and renewable energy targets are propelling the geothermal energy business. According to IRENA, worldwide geothermal capacity reached 16.0 GW in 2020, with a target of adding 28 GW by 2030. Since 2019, the United States Department of Energy has funded more than $220 million in geothermal research and development, increasing progress. Government incentives, tax credits, and sustainable energy laws are driving geothermal adoption worldwide, ensuring consistent market growth.

Rising Electricity Demand and Energy Security Concerns: Rising electricity consumption and security concerns are propelling the geothermal energy market. The IEA predicts that worldwide electricity demand would increase by 85% between 2020 and 2040, increasing the requirement for stable power sources. Geothermal facilities have capacity factors ranging from 74 to 96% (EIA), outperforming other renewables in terms of stability and assuring continuous electricity generation. This makes geothermal energy a vital answer for energy security and decarbonization, bolstering its global adoption.

Technological Advancements in Drilling and Extraction Innovations: technological advances in drilling and extraction are driving the geothermal energy sector. Innovative technologies such as enhanced geothermal systems (EGS) and sophisticated drilling techniques are increasing the number of suitable project sites. The U.S. Department of Energy's Utah FORGE project demonstrated in 2023 that improved drilling technologies reduced well completion costs by 25%. According to NREL, EGS technology could unlock 5.157 GW of geothermal potential in the United States, considerably increasing capacity and making geothermal energy more affordable and accessible.

According to Cognitive Market Research, The Global Inboard Electric Motors market size is USD 5518.9 million in 2023 and will grow at a compound annual growth rate (CAGR) of 5.22% from 2023 to 2030.

The demand for heating and cooling in residential, commercial and industrial areas is rising, and as a result, the heating and air-conditioning (HVAC) industry is growing. As a result, the activity of the new building views the building's air conditioning supply as a crucial function during the construction phase.
Demand for medium power (10-35 HP) remains higher in the Inboard electric motors market.
The civil entertainment segment held the highest application of Inboard electric motors market share in 2023.
In 2023, Increasing environmental consciousness and the need to reduce air and water pollution are driving the adoption of inboard electric motors in the Asia Pacific. Since the area is rapidly industrialising and urbanising, the need for sustainable transportation options is greater than ever. 

Growing Environmental Concerns Help in the Growth of the Market

Inboard electric motors, which offer a more ecologically friendly alternative to conventional combustion engines, are being used increasingly often as a result of growing environmental awareness and the need to reduce greenhouse gas emissions. Combustion engines, such as those powered by gasoline or diesel, emit greenhouse gases like carbon dioxide (CO2), which contribute significantly to climate change and global warming.

For instance, the United States Environmental Information Agency (EIA) predicts that worldwide industrial energy use will rise from 241.10 quadrillion British thermal units in 2020 to 361.4 quadrillion British thermal units by 2050. Furthermore, the industrial sector will account for 35% of total US end-use energy consumption and 33% of overall US energy consumption in 2021. According to the IEA, the industrial sector will consume 37% (166 EJ) of world energy in 2022.

(Source:www.eia.gov/energyexplained/units-and-calculators/british-thermal-units.php)

Automotive Industry Demand to Propel Market Growth

Battery technology has seen significant improvements in energy density, allowing for the storage of more energy in a given volume or weight. This increase in energy density means that modern batteries can provide more power for a longer duration, enhancing the overall performance of inboard electric motors. Higher energy-density batteries have substantially extended the range of electric boats and ships.

According to the Times of India, EV batteries store and supply the energy required to power the car. The first electric cars were powered by lead-acid batteries in the early 1900s, which were large, heavy, and had a short range. Nickel-metal hydride batteries, which were more efficient than lead-acid batteries but still had a limited capacity, were created in the 1990s.

(Source:timesofindia.indiatimes.com/blogs/voices/innovations-in-ev-battery-technology-with-recent-developments/)

Market Dynamics of Inboard Electric Motors

Limited Infrastructure for Charging Electric Boats and Ships Hinder Market Growth

Most existing ports and marinas are not equipped with the necessary charging infrastructure to support electric boats and ships. Traditional fuelling facilities for gasoline and diesel-powered vessels are widespread, but electric charging stations are relatively rare. Unlike the well-established standardization of charging connectors and protocols for land-based electric vehicles, there is currently a lack of standardized charging infrastructure for maritime applications. For boat owners and operators, this may cause compatibility problems and misunderstanding.

Impact of COVID-19 on the Inboard electric motors market

The pandemic disrupted global supply chains, affecting the production of inboard electric motors and their components. Lockdowns, travel restrictions, and factory closures in various regions led to delays in manufacturing and distribution. Inboard electric motors are used in multiple industries, including marine and automotive. The pandemic led to reduced consumer demand for recreational boating and other non-essential activities, impacting the marine industry and, consequently, the need for inboard electric motors. The pandemic influenced consumer behavior, with a focus on remote and outdoor activities. This shift in recreational ...

The North America Smart Homes Market size was valued at USD 49 Billion in 2024 and is projected to reach USD 102 Billion by 2032, growing at a CAGR of 10% from 2026 to 2032.

Key Market Drivers

Rising Energy Efficiency and Cost Management: The smart home market is significantly driven by consumers’ increasing desire to reduce energy consumption and manage household costs. According to the U.S. Energy Information Administration (EIA), smart home energy management systems help households reduce energy consumption by up to 15%. A report by the U.S. Department of Energy highlighted that smart thermostats alone save homeowners approximately 10-15% on heating and cooling expenses, which translates to an average annual savings of USD 180.

Growing Adoption of Internet of Things (IoT) and Connected Devices: The proliferation of IoT technologies has been a substantial driver for the smart homes market.

Pertamina Geothermal Energy (PGE), a subsidiary of state oil and gas company PT Pertamina, is undertaking the construction of a geothermal power plant in South Sumatra Province, Indonesia.The project involves the construction of a 220MW geothermal power plant comprising four units, each with a power generating capacity of 55MW. The project includes the construction of substations, powerhouses, access roads and cooling towers, drilling of production wells and injection wells, and the installation of steam generators and turbines, and the laying of transmission lines.The first two units of the project are funded by Japan International Cooperation Agency (JICA).Pertamina PDSI has been appointed as drilling contractor; Toshiba Corporation to supply equipment; PT. Inti Karya Persada Tehnik (IKPT) to undertake mechanical and piping works; Aecom as FEED and lead consultant; and ELC Electrocunsult as the electrical consultant for the first two units.On April 24, 2014, PGE signed Head of Agreement (HoA) with PT PLN (Persero) for the purchase price of steam and power generated.In October 2014, local people requested PGE to carry out revised environmental impact assessment (EIA), as they are not satisfied with the EIA prepared earlier. PGE initiated the preparation of revised EIA.In February 2015, the joint venture of Hawkins, Marubeni Corporation and Banguan Cipta Kontractor (BCK) awarded an engineering, procurement, construction, and commissioning (EPCC) contract for the first two units of the project.Hawkins will design, procure and construct the civil and build services work to the power plant plus the installation of all Toshiba supplied power plant equipment. The contract also includes the commission of all above ground steam field activities.Construction activities on the first and second units are underway, with completion scheduled in 2018 and 2019 respectively. The third and fourth units are currently in early development stage, and they are expected to be implemented in the next phase, after the completion of first two units in 2022 and 2024 respectively.Construction works are underway. Read More

A private developer is planning to construct a garbage-fired power plant in Pathum Thani, Thailand.The project involves the construction of a 25MW garbage-fired power plant. It will include the construction of a cooling tower, waste processor units, an ash collector unit and related facilities, the installation of generators, turbines, cooling systems, air pollution filter, ventilation systems, an incinerator, and safety and security systems, and the laying of transmission lines.In December 2014, a memorandum of understanding (MoU) was signed between the local authority and a private firm to develop the project.On July 29, 2015, the local residents submitted a petition opposing the plant to the Pollution Control Department.On December 3, 2015, the local residents filed a complaint with the Central Administrative Court in Bangkok calling on the Natural Resources and Environment Ministry to revoke its announcement waiving environment impact assessments (EIA) for waste-fired power plants. The project is facing delay due to public opposition. Read More